ORCID Profile
0000-0003-1144-4355
Current Organisation
Deakin University
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Other Architecture, Urban Environment And Building | Other Built Environment and Design |
Publisher: Emerald
Date: 26-07-2013
DOI: 10.1108/IJHMA-05-2012-0020
Abstract: Studies into ripple effects have previously focused on the interconnections between house price movements across cities over space and time. These interconnections were widely investigated in previous research using vector autoregression models. However, the effects generated from spatial information could not be captured by conventional vector autoregression models. This research aimed to incorporate spatial lags into a vector autoregression model to illustrate spatial‐temporal interconnections between house price movements across the Australian capital cities. Geographic and demographic correlations were captured by assessing geographic distances and demographic structures between each pair of cities, respectively. Development scales of the housing market were also used to adjust spatial weights. Impulse response functions based on the estimated SpVAR model were further carried out to illustrate the ripple effects. The results confirmed spatial correlations exist in housing price dynamics in the Australian capital cities. The spatial correlations are dependent more on the geographic rather than the demographic information. This research investigated the spatial heterogeneity and autocorrelations of regional house prices within the context of demographic and geographic information. A spatial vector autoregression model was developed based on the demographic and geographic distance. The temporal and spatial effects on house prices in Australian capital cities were then depicted.
Publisher: Informa UK Limited
Date: 11-2006
Publisher: Informa UK Limited
Date: 09-2006
Publisher: Emerald
Date: 17-07-2017
DOI: 10.1108/ECAM-06-2015-0097
Abstract: The purpose of this paper is to present an approach for productivity measurement that considers both construction growth and carbon reduction. The approach applied is a sequential Malmquist-Luenberger productivity analysis based on a directional distance function and sequential benchmark technology using the data envelopment analysis (DEA) technique. The sequential Malmquist-Luenberger productivity change index is decomposed into pure technical efficiency, scale efficiency, and technological change indices, in order to investigate the driving forces for productivity change. The construction industries of the Australian states and territories were selected implement the new approach. The results indicate that construction growth and carbon reduction can be achieved simultaneously through the learning of techniques from benchmarks. Current research on total factor productivity (TFP) in construction generally neglects carbon emissions. This does not accurately depict the nature of construction and therefore yields biased estimation results. TFP measurement should consider carbon reduction, which is beneficial for policymakers to promote sustainable productivity development in the construction industry. The approach developed here is generic and enhances productivity and DEA research levels in construction. This research can be used to formulate policies for evaluating performance in worldwide construction projects, organizations and industries by considering undesirable outputs and desirable outputs simultaneously, and for promoting sustainable development in construction by identifying competitiveness factors.
Publisher: MDPI AG
Date: 28-08-2023
DOI: 10.3390/SU151712935
Abstract: The spatial flows of school-age children and educational resources have been driven by such factors as regional differences in population migration and the uneven development of the education quality and living standards of residents in urban and rural areas. This phenomenon further leads to a supply–demand imbalance between the area of school land and the number of school-age children in the geographical location of China. The georeferenced data characterizing supply–demand imbalance presents an obvious spatial autocorrelation. Therefore, a spatial data analysis technique named the Eigenvector Spatial Filtering (ESF) approach was employed to identify the driving factors of the supply–demand imbalance of school land. The eigenvectors generated by the geographical coordinates of all primary schools were selected and added into the ESF model to filter the spatial autocorrelation of the datasets to identify the driving factors of the supply–demand imbalance. To verify the performance of the technique, it was applied to a county in the southwest of Shandong Province, China. The results from this study showed that all the georeferenced indicators representing population migration and education quality were statistically significant, but no indicator of the living standards of residents showed statistical significance. The eigenvector spatial filtering approach can effectively filter out the positive spatial autocorrelation of the datasets. The findings of this research suggest that a sustainable school-land-allocation scheme should consider population migration and the possible preference for high-quality education.
Publisher: American Society of Civil Engineers (ASCE)
Date: 02-2024
Publisher: World Scientific Pub Co Pte Lt
Date: 03-2006
Publisher: No publisher found
Date: 2020
Publisher: Informa UK Limited
Date: 2014
Publisher: Informa UK Limited
Date: 03-2007
Publisher: Emerald
Date: 16-07-2018
DOI: 10.1108/ECAM-06-2016-0131
Abstract: The purpose of this paper is to develop a simultaneous measurement of overall performance and its two dimensions of efficiency and effectiveness in the case of Chinese construction industry. A relational two-stage data envelopment analysis (DEA) method, which builds a relationship between component stages and can effectively identify inefficient stages, is developed and applied in order to measure overall performance, efficiency and effectiveness. The construction industry of the Eastern region in China demonstrated the best results for overall performance, efficiency and effectiveness. The gaps between regions were primarily reflected in differences of pure technical efficiency. Performance indicators in the whole construction industry improved steadily and but could be improved more effectively. The coefficients of variation became smaller and more well-balanced across the whole industry. Improving overall performance should focus on promoting construction efficiency at the project level and increasing management effectiveness at the company level. Sustainable development policies, which may include large investment and preferential policies, can narrow performance differences among the regions’ construction industries, and ultimately promote overall performance for the whole industry. The relational two-stage DEA model is further developed in a variable returns-to-scale condition. The developed approach is generic and can provide a pathway for simultaneously measuring performance, efficiency and effectiveness and to recognise competitive advantages for promoting sustainable development.
Publisher: Elsevier BV
Date: 08-2015
Publisher: Emerald
Date: 14-12-2021
DOI: 10.1108/ECAM-06-2019-0311
Abstract: Considering there is a lack of research in determining the optimal levels of government guarantee and revenue cap, the objective of this research is to determine their optimal levels to achieve a reasonable financial risk allocation between governments and private investors while avoiding overly lucrative conditions for private investors. Expanded net present value (NPV) analysis and bargaining game theory are employed to construct the core of the determination process. The risk gap between governments and private investors is assessed via an expanded NPV analysis to see if the financial risk has been shared reasonably, based on which the range of the government guarantee is decided. A bargaining model is then created to help locate the optimal level of the government guarantee. Finally, a revenue cap, often combined with the government guarantee in public–private partnership (PPP) agreements, will be determined if overly lucrative conditions for private investors are observed or governments suffer a risk spillover. Referring to a real PPP project in Australia, Project BA is created to validate the applicability of the proposed determination process. The outcome shows that the proposed determination process in this paper is capable of determining the optimal levels of government guarantee and revenue cap. The government preferences towards risk allocation will influence the values of the optimal levels. Governments may also consider to alleviate the control over investors' net profits to mobilise private investors into PPP projects. There is a potential possibility that the revenue cap fails to control the financial risk for governments or the overly lucrative condition for private investors. In other words, even though the revenue cap is set at the minimal level, the financial risk for governments still beyond their tolerance range or the overly lucrative condition for private investors still occurs. Future research may focus on other financial protective schemes which help to better control the financial risks for governments and profits for private investors. Government guarantees are frequently used as an investment incentive to reduce the probabilities of suffering loss for private investors. Nevertheless, the financial risks for governments may increase after providing guarantees and, as a result, revenue cap is required by governments to avoid placing themselves in an unprotected situation. By recognising the importance of the two contractual parameters, many scholars dig into their option values. However, there are very rare research works focussing on the method of determining the specific levels of government guarantee and revenue cap. To overcome the limitations of existing models and enrich the methodology for government guarantee and revenue cap determination, this paper contributes to the body of knowledge by developing a government guarantee and revenue cap determination process which contributes to a reasonable allocation of financial risks between governments and private investors.
Publisher: MDPI AG
Date: 31-05-2021
DOI: 10.3390/JRFM14060244
Abstract: With the rapid development of information communication technology and the Internet, information spillover between cities in real estate markets is becoming more frequent. The influence of information spillover in real estate markets is becoming more and more prominent. However, the current research of information spillover between cities is still relatively insufficient. In view of this research gap, this paper builds a research framework on the information conduction effect in the real estate markets of 10 Chinese cities by using Baidu search data, text mining and principal component analysis and analyzes the information interaction and dynamic influence of the real estate markets in each city by using the vector autoregressive model empirically. The results show that the information interaction among the real estate markets in each city has a network pattern and there is a significant two-way information spillover effect in most cities. When the “information distance” becomes closer, the information interaction between the markets of the cities becomes closer and it is easier for cities to influence each other. The results help to explain the information spillover mechanism behind the house price spillover and to improve the ability to predict and analyze the information spillover process in real estate markets.
Publisher: Informa UK Limited
Date: 09-2010
Publisher: Informa UK Limited
Date: 2012
Publisher: MDPI AG
Date: 25-05-2023
DOI: 10.3390/SU15118627
Abstract: Industrial Symbiosis (IS) has obtained worldwide concern as a new initiative for achieving collaborative benefits through the exchange of resources including water among industries. Even though these initiatives became prominent as successful projects in the early stages, many of them have resulted in failures in the long term due to the absence of the prior evaluation and optimisation of identified water synergies in IS planning. Further, the main attention has been given to achieving cost reductions in in idual plants rather than analysing the environmental benefits of IS networks that can be achieved through the maximum recovery of wastewater. The existing evaluation emphasises the need to have a standardised way to assess the optimum water flow of IS. Thus, the purpose is to conceptualise a model to assess the optimum water flow of IS based on secondary data analysis. A desk study and a detailed literature review were selected as suitable methods for reviewing the existing literature relating to water exchange in IS networks, water input and output flow, and optimisation methodologies. As the key findings derived through analysis, water inputs and outputs, a boundary for the selection of industrial entities, typical water synergies, and optimisation formulas were established. Finally, a conceptual model was developed to assess the optimum water flow of IS, which was evaluated through expert interviews to identify further improvements. The developed model forms a unique foundation for assessing the optimum water flow of IS, applying in any context subject to context-specific enhancements. Most importantly, the novelty can be highlighted as the consideration given to maximum wastewater recovery in achieving the reduction in the freshwater utilisation of industrial entities within the IS network. Nevertheless, this conceptual model is still at its early development stage, and it is subjected to more empirical testing and research for its practicality and further refinement as a way forward for the research.
Publisher: Elsevier BV
Date: 03-2020
Publisher: Informa UK Limited
Date: 09-04-2018
Publisher: Trans Tech Publications, Ltd.
Date: 02-2011
DOI: 10.4028/WWW.SCIENTIFIC.NET/KEM.467-469.441
Abstract: This paper applies a gravity model to estimate the relationships between energy consumptions and many kinds of construction material export over the period 1992-2009 in China. The empirical result shows that energy consumptions have a significant and positive influence on the construction material export of China.
Publisher: Emerald
Date: 09-03-2010
DOI: 10.1108/17538271011027041
Abstract: This paper develops a new decomposition method of the housing market variations to analyse the housing dynamics of the Australian eight capital cities. This study reviews the prior research on analysing the housing market variations and classifies the previous methods into four main models. Based on this, the study develops a new decomposition of the variations, which is made up of regional information, home‐market information and time information. The panel data regression method, unit root test and F test are adopted to construct the model and interpret the housing market variations of the Australian capital cities. This paper suggests that the Australian home‐market information has the same elasticity to the housing market variations across cities and time. In contrast, the elasticities of the regional information are distinguished. However, similarities exit in the west and north of Australia or the south and east of Australia. The time information contributes differently along the observing period, although the similarities are found in certain periods. This paper introduces the housing market variation decomposition into the research of housing market variations and develops a model based on the new method of the housing market variation decomposition.
Publisher: University of Technology, Sydney (UTS)
Date: 21-09-2017
Abstract: Environmental protection and economic growth are two indicators of sustainable global development. This study aims to investigate the performance of environmental protection and economic growth by measuring carbon productivity in the construction field. Carbon productivity is the amount of gross domestic product generated by the unit of carbon emissions. The log mean Divisia index method is used to investigate influential factors including carbon intensity, energy intensity and regional adjustment that impact on changes of carbon productivity. The study utilises a range of data from the Australian construction industry during 1995-2004 including energy consumption, industry value added and carbon dioxide equivalent consumption. The research indicates carbon productivity in the Australian construction industry has clearly increased. Energy intensity plays a significant positive role in promoting carbon productivity, whereas carbon intensity and regional adjustment have limited influence. Introducing advanced construction machinery and equipment is a feasible pathway to enhance carbon productivity. The research method is generic and can be used to measure other performance indicators and decomposing them into influential factors.
Publisher: Vilnius Gediminas Technical University
Date: 23-12-2015
DOI: 10.3846/1648715X.2015.1072856
Abstract: Economic variation and its effects on construction demand have received a great deal of attention in construction economics studies. An understanding of future trends in demand for construction could influence investment strategies for a variety of parties, including construction developers, suppliers, property investors and financial institutions. This paper derives the determinants of demand for construction in Australia using an econometric approach to identify and evaluate economic indicators that affect construction demand. The forecasting contribution of different determinants of economic indicators and their categories to the demand for construction are further estimated. The results of this empirical study suggest that changes in consumer's expectation, income and production, and demography and labour force are closely correlated with the movement of construction demand and 14 economic indicators are identified as the determinants for construction demand. It was found that the changes in construction price, national income, size of population, unemployment rate, value or export, household expenditure and interest rates play key roles in explaining future variations in the demand for construction in Australia. Some “popular” macroeconomic indicators, such as GDP, established house price and bank loans produced inconclusive results.
Publisher: Elsevier BV
Date: 12-2022
Publisher: Elsevier BV
Date: 11-2007
Publisher: MDPI AG
Date: 26-01-2021
DOI: 10.3390/EN14030618
Abstract: The vanadium-titanium black ceramic (VTBC) coating on all-ceramic solar collectors has both high absorptance (0.94) and high emissivity (90%). However, the thermal conductivity of ceramic is very low (1.256 W/mK). To improve the heat collection efficiency of VTBC solar collectors, this paper establishes a mathematical model based on the energy-conservation relationships under steady-state conditions and creates a corresponding computer program. Key parameters for VTBC solar collectors include the heat-removal factor, effective transmittance-absorptance product for the absorber, total heat loss coefficient, etc. Then, via experimental testing, this study proposes a reference model for domestic VTBC solar collectors in a cold location (η = 0.89 − 2.20Tm*). Last, this work analyzes the influences of fin design and transparent cover design on VTBC solar collectors in idually, using the created computer program. Results show that the most effective optimization method is to increase the transmittance of the transparent cover. By increasing the transmittance from 0.93 to 0.96, this study creates an optimized VTBC solar collector theoretical model (η = 0.92 − 2.20Tm*).
Publisher: Elsevier BV
Date: 11-2021
Publisher: Vilnius Gediminas Technical University
Date: 05-06-2023
Abstract: Resources in primary schools can be classified into three types: c us, teaching, and community resources. Urban–rural differences in the resources of Chinese county schools, which are triggered by population migration and residents’ preference for high-quality schools, are a common phenomenon emerging in the context of rapid urbanization. Despite the negative effects of these resource differences on social sustainability and the increasing need to comprehensively analyze urban–rural differences in school resources, to date there has not been an effective analytical framework for resolving these issues. To address this research gap, this study develops a method using the entropy-based Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), spatial analysis, and statistical analysis for assessing resource equity in primary schools by means of the relative proximities of resources. The resource differences between urban and rural primary schools are quantitatively investigated through taking Yuncheng County as a case study. The urban–rural differences in the three types of resources are discovered and presented according to geographical location. The research findings make contributions to understanding the unbalanced distribution of school resources, promoting equity in education, and improving the social sustainability of counties. Additionally, the analytical framework has the potential to be extended to analyzing urban–rural resource differences in secondary or high schools.
Publisher: Emerald
Date: 07-07-2023
DOI: 10.1108/ECAM-02-2023-0118
Abstract: Physical environments, especially the sound environments of ILSs on a university c us, have become increasingly important in satisfying the erse needs of students. Poor sound environments are widely acknowledged to lead to inefficient and underutilised spaces and to negatively influence students' learning outcomes. This study proposes two hypotheses to explore whether students' sound environment perceptions are related to their in idual characteristics and whether students' preferences for the type of ILS are related to their sound environment sensitivities. An investigation through a questionnaire survey has been conducted on both students' in idual characteristics affecting their sound environment perceptions in informal learning spaces (ILSs) of a university c us and their sensitivities to the sound environments in ILSs affecting their preferences for the type of ILSs. The research findings indicate that students' sound environment perceptions are associated with some of their in idual characteristics. In addition, the results show that students' sound environment sensitivities affect their preferences for the type of ILS they occupy. This study could help architects and managers of university learning spaces to provide better sound environments for students, thereby improving their learning outcomes. The article contributes valuable insights into the correlation between students' in idual characteristics, sound environment perceptions and preferences for ILSs. The research findings add to the existing knowledge in this field and offer practical implications for enhancing design and management of university learning environments.
Publisher: Informa UK Limited
Date: 20-06-2018
Publisher: American Society of Civil Engineers
Date: 28-08-2019
Publisher: Emerald
Date: 04-07-2019
DOI: 10.1108/ECAM-01-2019-0063
Abstract: Targeting public–private partnership (PPP) rental retirement villages, the purpose of this paper is to bring forward the solution of insufficient research in a non-competitive guarantee (a restrictive agreement) towards the compensation and guarantee costs in consideration of benefit redistribution if the governments are unable to keep the promise on guarantee provision. Real option principles are applied to assess the public–private investment proportions and the expected return rates of the private sector in a non-competitive guarantee and analyse their effects on the public–private benefit and risk allocations as well as the success of the project. Instead of granting direct capital support, this research accomplishes the compensation of non-competition guarantee by adjusting the project benefit distribution ratios between the government and the private sector to achieve the option value of the guarantee. An empirical ex le with alternative scales, which is developed from an existing rental village in Geelong, is used to numerically verify the research process. The results illustrate that the option value of the non-competition guarantee plays an important role in supporting the implementation of the PPP rental retirement village projects. The option value of the non-competition guarantee has a close relationship with the guarantee level and the government guarantee cost, which is positively correlated with the guarantee level and negatively correlated with the government guarantee cost. To reduce the government guarantee cost, the government should carefully determine the public–private investment proportion, appropriately control the return rate of the private sector and approve the construction of the new project after the investment recovery of the private sector. This research mainly focusses on the economic loss of the government due to the guarantee responsibility. Further research could be conducted to determine the guarantee level more precisely and take the social cost of the government guarantees into consideration. This research is the first attempt to investigate the government compensation and costs of non-competition guarantee for PPP rental retirement village projects and will enhance the understanding of the nature of PPP applications. The evaluation process and the implementation of the compensation through the adjustment of benefit distribution provides a comprehensive method to analyse the non-competition guarantee of PPP projects and help the parties negotiate in good faith to agree on a method of redress.
Publisher: Emerald
Date: 28-11-2019
DOI: 10.1108/BEPAM-02-2019-0018
Abstract: The purpose of this paper is to examine public–private partnership (PPP) approaches for the construction of rental retirement villages in Australia and to allocate the investment proportions under a certain project return rate among three investors which are the government, private sectors and pension funds. The apportionment will achieve a minimum overall investment risk for the project. Capital structure, particularly determination of investment apportionment proportions, is one of the key factors affecting the success of PPP rental retirement villages. Markowitz mean-variance model was applied to examine the investment allocations with minimum project investment risks under a certain projected return rate among the PPP partners for the construction of rental retirement villages. The research findings validate the feasibility of the inclusion of pension funds in the construction of PPP rental retirement villages and demonstrate the existence of relationships between the project return rate and the investment allocation proportions. This paper provides a quantitative approach for determination of the investment proportions among PPP partners to enrich the theory of PPP in relation to the construction of rental retirement villages. This has implications for PPP partners and can help these stakeholders make vital contributions in developing intellectual wealth in the PPP investment area while providing them with a detailed guide to decision making and negotiation in relation to investment in PPP rental retirement villages.
Publisher: Informa UK Limited
Date: 20-05-2019
Publisher: Informa UK Limited
Date: 03-04-2014
Publisher: Informa UK Limited
Date: 09-2011
Publisher: Elsevier BV
Date: 12-2018
Publisher: Informa UK Limited
Date: 03-03-2016
Publisher: College Publishing
Date: 06-2016
Abstract: Urban flooding has been a severe problem for many cities around the world as it remains one of the greatest threats to the property and safety of human communities. In Australia, it is seen as the most expensive natural hazard. However, urban areas that are impervious to rainwater have been sharply increasing owing to booming construction activities and rapid urbanisation. The change in the built environment may cause more frequent and longer duration of flooding in floodprone urban regions. Thus, the flood inundation issue associated with the effects of land uses needs to be explored and developed. This research constructs a framework for modelling urban flood inundation. Different rainfall events are then designed for examining the impact on flash floods generated by land-use changes. Measurement is formulated for changes of topographical features over a real time series. Geographic Information System (GIS) technologies are then utilised to visualise the effects of land-use changes on flood inundation under different types of storms. Based on a community-based case study, the results reveal that the built environment leads to varying degrees of aggravation of urban flash floods with different storm events and a few rainwater storage units may slightly mitigate flooding extents under different storm conditions. Hence, it is recommended that the outcomes of this study could be applied to flood assessment measures for urban development and the attained results could be utilised in government planning to raise awareness of flood hazard.
Publisher: Emerald
Date: 11-03-2023
DOI: 10.1108/ECAM-03-2021-0262
Abstract: This paper aims to better understand the linkage between CO 2 emitters and industrial consumers. The border-crossing frequency is applied to calculate the average number of steps that a country takes in relation to the CO 2 emissions of its construction industry. The maximum border-crossing frequency and declining speed of CO 2 transfer are used to reveal the relationship between the length of production chains and the transfer efficiency of construction products. This paper maps the CO 2 transfer that accompanies global production chains using the frequency of border crossing in the production processes of construction products. As the basic analysis framework, a multi-regional input–output model is adopted to analyse the average border-crossing frequency of CO 2 transfer. Additionally, indicators including the maximum border-crossing frequency and declining speed of CO 2 transfer are employed. Also, the maximum border-crossing frequency and declining speed of CO 2 transfer are used to reveal the relationship between the length of production chains and the transfer efficiency of construction products. The results indicate that 85.49% of the CO 2 in construction products needs to be processed in at least one country, reflecting that direct trade is the major pattern of transfer of CO 2 from primary producers in global construction industries. The maximum border-crossing frequency is 4.88 for 15 economies, meaning that construction products cross the international borders up to 4.88 times before they are absorbed by the final users. The scale of the average border-crossing frequency ranged from 1.16 to 1.87 over 2000–2014, indicating that the original construction products crossed the international borders at least 1.16 times to satisfy the final demand of the consuming countries. The data from the economic MRIO tables in the WIOD are only available until 2014, which is a limitation for conducting this research in recent years. The fragmentation of production is not only reshaping global trade patterns, but also leading to the separation of CO 2 emitters and final consumers in production chains. A growing number of studies have focussed on the impact of production fragmentation on accounting for regional and national CO 2 emissions, but little research has been done at the scale of a specific industry. The major contribution of this paper lies in mapping the CO 2 emissions that accompany the production chains of construction products from the perspectives of both magnitude and length. Additionally, this paper is the first to propose using maximum border-crossing frequency and declining speed to analyse the characteristics of global production chains induced by the final demand of major economies for construction products.
Publisher: Informa UK Limited
Date: 2007
Publisher: Elsevier BV
Date: 06-2021
Publisher: MDPI AG
Date: 15-12-2022
DOI: 10.3390/SU142416823
Abstract: The industrial small-town development process in Shandong is influenced by the urban agglomeration strategy and the regional collaborative production, thereby resulting in a challenge of growth boundary planning. How to build a growth forecast decision support system to help small industrial towns maintain sustainable development with limited trial and error costs is an essential topic in the current research of small town-related fields. Empirical analysis reveals that the growth factors of small towns differ from the factors of cities due to the other-organization planning management system and self-organization construction activities that coexist in small towns. Besides, due to the size of small towns, the impact of policy changes in small towns is more significant than in cities. Furthermore, as part of the regional production chain, small industrial towns are most vulnerable to uncertain external disturbances. Therefore, it is necessary to formulate different development scenarios according to possible disturbances and output corresponding development forecasts. The research aims to build a decision-making support system for Shandong’s small-town planning based on an urban modeling approach using geographic information technology and scenario planning. Considering the mutually driving effects of the objective environment and subjective policies of Shandong’s industrial towns, as well as the corresponding dynamic mechanisms and comparing the theoretical basis and limitations of the different modeling approaches, this essay constructs a model system based on a mathematical model and a system dynamics model. It is also an interactive model accompanied by applicable rules and factors so that initial information and relevant development goals can be inputted into the model system to simulate the influence of different policies and identify the small industrial town growth scenarios.
Publisher: Elsevier BV
Date: 2018
Publisher: Emerald
Date: 05-09-2016
DOI: 10.1108/BEPAM-07-2015-0031
Abstract: The rapid and ongoing expansion of urbanised impervious areas could lead to more frequent flood inundation in urban flood-prone regions. Nowadays, urban flood inundation induced by rainstorm is an expensive natural disaster in many countries. In order to reduce the flooding risk, eco-roof systems (or green roof systems) could be considered as an effective mechanism of mitigating flooding disasters through their rainwater retention capability. However, there is still a lack of examining the stormwater management tool. The purpose of this paper is to evaluate the effects on flooding disaster from extensive green roofs. Based on geographical information system (GIS) simulation, this research presents a frame of assessing eco-roof impacts on urban flash floods. The approach addresses both urban rainfall-runoff and underground hydrologic models for traditional impervious and green roofs. Deakin University’s Geelong Waurn Ponds c us is chosen as a study case. GIS technologies are then utilised to visualise and analyse the effects on flood inundation from surface properties of building roofs. The results reveal that the eco-roof systems generate varying degrees of mitigation of urban flood inundation with different return period storms. Although the eco-roof technology is considered as an effective stormwater management tool, it is not commonly adopted and examined in urban floods. This study will bring benefits to urban planners for raising awareness of hazard impacts and to construction technicians for considering disaster mitigation via roof technologies. The approach proposed here could be used for the disaster mitigation in future urban planning.
Publisher: Informa UK Limited
Date: 13-07-2016
Publisher: MDPI AG
Date: 19-06-2021
DOI: 10.3390/LAND10060655
Abstract: Previous studies have mostly examined how sustainable cities try to promote non-motorized travel by creating a walking-friendly environment. Such existing studies provide little data that identifies how the built environment affects pedestrian volume in high-density areas. This paper presents a methodology that combines person correlation analysis, stepwise regression, and principal component analysis for exploring the internal correlation and potential impact of built environment variables. To study this relationship, cross-sectional data in the Melbourne central business district were selected. Pearson’s correlation coefficient confirmed that visible green ratio and intersection density were not correlated to pedestrian volume. The results from stepwise regression showed that land-use mix degree, public transit stop density, and employment density could be associated with pedestrian volume. Moreover, two principal components were extracted by factor analysis. The result of the first component yielded an internal correlation where land-use and amenities components were positively associated with the pedestrian volume. Component 2 presents parking facilities density, which negatively relates to the pedestrian volume. Based on the results, existing street problems and policy recommendations were put forward to suggest ersifying community service within walking distance, improving the service level of the public transit system, and restricting on-street parking in Melbourne.
Publisher: Elsevier BV
Date: 06-2020
Publisher: Trans Tech Publications, Ltd.
Date: 05-2013
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.689.105
Abstract: The efficiency of the construction industry is analyzed based on provinces panel data in China in this paper. The Mean Number of Employee and the Mean Completed Investment are used as inputs. The Mean Actual Sales of Commercial Houses and the Mean Net Profit are used as outputs. Data Envelopment Analysis (DEA) model is used to measure the efficiency of the construction industry. Shanghai and Zhejiang are found technically efficient. Shandong is scale efficient but technology efficiency is lower. There are two provinces are decreasing returns to scale and other provinces are increasing returns to scale. On the whole, the technology efficiency of the construction industry of China is lower. Based on the conclusions, the paper proposes some suggestions to improve the efficiency of the construction industry in China.
Publisher: Informa UK Limited
Date: 03-07-2020
Publisher: SAGE Publications
Date: 03-06-2019
Abstract: Violence against women is a global issue with estimates indicating that 35% of all women worldwide have experienced either physical and/or sexual intimate partner violence or nonpartner violence in their life time. In Malawi, 42% of ever-married women have experienced some form of violence perpetrated by their current or most recent spouse. A number of studies have investigated intimate partner violence in Malawi within the context of HIV/AIDS, girls’ sexual abuse, and psychological distress, and a few studies report on the role of sociocultural factors in influencing gender-based violence. No study has used cluster analysis to systematically analyze different levels of abuse among married women in Malawi. Using the 2015 Malawi Demographic and Health Survey data, we employed cluster analysis and multinomial logistic regression to analyze the distribution of different levels of abuse among married women in Malawi and the key attributes associated with each level of abuse. Correlates of domestic violence significantly differ by levels of abuse and are distributed as follows: controlling behavior (11.8%), general controlling behavior (GCB 27.1%), moderate physical and emotional abuse (27.2%), and the high and complete abuse (8.5%). Alcohol consumption, ethnicity, and women working status were significantly associated with all four levels of abuse, but age and religion were only associated with controlling behavior and generalized controlling behavior. The strength of association between husband’s alcohol consumption, woman’s working status, and marriage type and domestic violence increased by level of abuse. On each of these factors, the odds of experiencing violence were lowest in the controlling behavior group and highest in the high physical and emotional abuse group. Policies and programs that are designed to tackle violence against married women in Malawi should incorporate strategies that discourage excessive alcohol consumption, promote messages that women can be bread winners, and discourage polygamous marriage.
Publisher: MDPI AG
Date: 11-03-2022
DOI: 10.3390/SU14063330
Abstract: The new system formed by digital technology and digital system is different from the traditional environment, and this environment has a sharp impact, either by transformation or replacement, of the traditional environment. However, at present, organizational strategy formulation, structural design, resource allocation, and culture formation are based on the traditional environment, which leads to a declining trend in organizational performance. Therefore, to identify and adapt to the characteristics of the digital environment, the improvement and design of organizational characteristics that highly fit with this environment has become an urgent task for all kinds of enterprises to maintain and improve organizational performance. Based on the analysis of the characteristics of digital environment, organizational change, digital organizational culture, organizational performance, and the data of the construction industry, this study constructs a mediating effect structure model to explain the path and mechanism of organizational performance improvement, and puts forward corresponding countermeasures and suggestions according to the empirical results. The research puts forward the analysis model of “Digital Environment-Organizational Behavior-Organizational Performance”. The results reveal how to improve organizational performance in the digital environment and enrich the research of organizational performance and the practice of organizational performance improvement.
Publisher: American Society of Civil Engineers (ASCE)
Date: 03-1997
Publisher: Elsevier BV
Date: 09-2021
Publisher: Informa UK Limited
Date: 2011
Publisher: Elsevier BV
Date: 11-2018
Publisher: Elsevier BV
Date: 10-2023
Publisher: MDPI AG
Date: 07-12-2022
DOI: 10.3390/EN15249266
Abstract: Low-carbon building regulations are acknowledged as critical instruments to facilitate the building industry’s decarbonization transition. However, recent studies have shown that non-compliance with low-carbon requirements is under-researched, leading to a significant ergence between policy intentions and actual performance. In light of this, the paper aims to provide a synthesis of existing research on non-compliance with low-carbon building regulations. It does this using a systematic literature review combined with bibliometric and text mining techniques. Through reviewing 26 scholarly works from the last decade, the paper demonstrates a peak production year around 2015, the year of the Paris Agreement, with the USA and Australia as key countries of concern. Subsequently, the study reveals three focused research areas: the development of building policy during the low-carbon transition the role of building energy performance requirements in achieving low-carbon buildings and building energy code compliance. Findings suggest widespread non-compliance with building energy codes and also indicate influencing factors and associated enhancement strategies. Finally, the paper identifies gaps in the investigation of new forms of building energy codes an inconsistent conception of compliance and a lack of understanding in building practitioners’ compliance behavior. The study contributes to knowledge by providing future research areas in this under-researched topic and by successfully applying both bibliometric and text mining analysis in the construction management domain. This is found to have advantages in terms of time efficiency and objectivity. It also offers practical implications for industry by minimizing the gap between policy intentions and real compliance performance.
Publisher: Wiley
Date: 11-1997
Publisher: American Society of Civil Engineers (ASCE)
Date: 08-2007
Publisher: Informa UK Limited
Date: 12-2006
Publisher: Vilnius Gediminas Technical University
Date: 24-09-2018
Abstract: Demand for the construction of retirement villages is increasing with the worldwide growth in ageing populations. However, the development of retirement villages can be impeded by many factors, such as limited available land and high investment costs. Public–private partnership (PPP) as an alternative financing mechanism has been widely applied in the construction of public infrastructure projects and may provide new funding sources for building retirement villages. By applying PPP to the construction of retirement villages, the independent living requirements of seniors can be met and the financial difficulty of the construction of retirement villages can be resolved. Similar to other PPP projects, when retirement villages are constructed under a PPP process, the concession period is a key decision variable in relation to the success of the project. The concession period is stated in the project contract between the government and private investors, and stipulates the date when the project ownership and operation are transferred from the private investor back to the government. The government should take detailed information into consideration at the initial project stage when determining the concession period. This paper proposes PPP as a new procurement method to be applied to the construction of rental retirement villages and develops a concession period determination process for PPP retirement village projects with consideration of real options, focusing on the option to defer. An empirical ex le with alternative scales, which is developed from an existing retirement village in Geelong, Australia, is used to numerically verify the process and the impacts of key variables on the concession period. The determination process provides an alternative tool for governments to design the concession period before the tendering stage and will benefit the development of industries associated with services for the ageing population. This process can also be applied to the construction of other financially non-viable PPP projects such as social housing.
Publisher: MDPI AG
Date: 07-01-2020
DOI: 10.3390/SU12020453
Abstract: In recent years, due to the advantages of high construction efficiency and less environmental pollution, prefabricated housing has been of increasing interest and vigorously promoted. However at present, most prefabricated houses simply pursue an increase in assembly rate, and the floor plan design still continues to follow the traditional design method of housing, which does not meet the requirements of industrialization and cannot achieve the goal of product ersification. This paper puts forward a method for floor plan designs of prefabricated houses whose core is building plane module libraries. The modules in module libraries all conform to standardized and refined designs. A new residential floor plan can be obtained by selecting and recombining modules in module libraries. The richer the module library, the more erse the results will be under the same combinatorial logic, which can greatly improve design efficiency. In addition, this paper probes the method of creation and applications of plane module libraries in detail, so as to provide a new idea for floor plan designs of prefabricated houses. This research is of great significance for improving the efficiency of floor plan design of prefabricated housing and realizing goals of standardization and ersification of prefabricated housing development.
Publisher: Informa UK Limited
Date: 12-2006
Publisher: MDPI AG
Date: 17-04-2021
DOI: 10.3390/SU13084490
Abstract: Guests’ evaluation of indoor environmental quality (IEQ) is important for identifying environment quality problems in hotels and improving service quality. This paper aims to identify IEQ problems in budget hotels in China and improve them. Specifically, 2.06 million online reviews of budget hotels were used to assess IEQ issues in China’s budget hotels in four areas: acoustic environment, luminous environment, indoor air quality (IAQ) and thermal environment. The influences of the season, region and type of customers on the IEQ evaluation were also explored, and the main causes of IEQ problems were also identified. The research results show that the IEQ complaint rates of budget hotels are relatively high. In particular, complaints about the acoustic environment are more common. Differences in seasons and climate zones have significant effects on complaints about the acoustic environment, thermal environment and IAQ. Different types of customers have different concerns about hotel IEQ, among which solo travelers and traveling couples have higher requirements for IEQ. The occurrence of IEQ problems significantly reduces a hotel’s online rating, with IAQ and the thermal environment having the greatest impacts, but the causal factors that trigger IEQ problems are relatively concentrated. The findings of this paper can provide a reference for assessing IEQ problems in hotel buildings and guide hotel managers to adopt targeted IEQ improvement programs to promote sustainable development in the hotel industry.
Publisher: Informa UK Limited
Date: 08-04-2020
Publisher: University of Technology, Sydney (UTS)
Date: 13-06-2016
Abstract: The Australian construction industry continues to play an important role in the national economy. Analysis using input–output tables makes it possible to understand the role of the construction industry in Australia’s economy and its relationships to other major industries over years. This study applies several economic indicators to investigate the construction industry’s contributions to gross national product and gross national income, as well as its backward and forward linkage indicators, and its output and input multipliers. The paper also investigates the purchases of goods and services by the construction industry from other sectors and its sales to other industries over the analysis period. Findings from this research may help policymakers to better understand the economic linkages between the construction industry and other major industries, and the structural changes in its inputs and outputs in relation to these others.
Publisher: Informa UK Limited
Date: 05-2012
Publisher: Informa UK Limited
Date: 2005
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 10-2016
Publisher: Emerald
Date: 20-10-2023
Publisher: IEEE
Date: 2005
Publisher: Informa UK Limited
Date: 28-08-2014
Publisher: American Society of Civil Engineers (ASCE)
Date: 03-1997
Publisher: MDPI AG
Date: 18-03-2023
DOI: 10.3390/SU15065406
Abstract: The construction industry consumes a huge quantity of raw materials, some of which ends up as waste in the construction process. Among many factors, studies suggest that the inexperience of labour is one factor that generates construction material waste. However, an in-depth analysis of construction material waste generation concerning the different levels of labour experience has not been undertaken. Thus, this study investigates the influence of labour experience in the generation of brick and tile material waste in the Sri Lankan construction industry and, thereby, develops a model to predict average waste generation with respect to labour experience. Bricks and tiles were considered since they are identified as the materials most wasted in the Sri Lankan construction industry. To carry out this research, nine similar commercial projects under construction using bricks and tiles were selected from three large building construction organizations in Sri Lanka. Non-participant direct observations and unstructured interviews were adopted as data collection techniques. A simple arithmetical mean method was adopted to analyse material wastage and a scatter diagram was used to identify the correlation and regression to develop a prediction model. The findings revealed that, when labour experience increased, brick and tile wastage generation decreased, although there were slight fluctuations.
Publisher: American Society of Civil Engineers (ASCE)
Date: 11-2013
Publisher: Informa UK Limited
Date: 2004
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 07-2017
Publisher: Informa UK Limited
Date: 13-03-2020
Publisher: MDPI AG
Date: 03-03-2020
DOI: 10.3390/BUILDINGS10030044
Abstract: A good living environment is the foundation of sustainable housing. Exploring the external influence of environmental factors on housing prices is one of the key issues in the field of real estate research however, the current study of the urban water landscape on the spillover effect of housing prices is not sufficient. Taking the Zhengzhou residential market as an ex le, this paper analyzes the effect of an urban water system on residential prices by constructing the traditional Hedonic price model, spatial lag model (SLM) and geographically weighted regression model (GWR) by selecting the main water system and 678 points of residential data in the main urban area. The results show that the accessibility of rivers and lakes and the width and water quality of rivers have a significant effect on residential prices, and the impact of lakes is greater than that of rivers. The spatial heterogeneity of the water system effect is further revealed by adopting spatial lag model and geographically weighted regression model, and the effect of the water system is gradually reduced from the eastern urban area to the western urban area. The results of this study are of great practical significance to the government’s municipal planning, water environment management and housing market management.
Publisher: Vilnius Gediminas Technical University
Date: 31-12-2008
DOI: 10.3846/1648-715X.2008.12.237-250
Abstract: Prior research supports the proposition that house price diffusion shows a ripple effect along the spatial dimension. That is, house price changes in one region would reflect in subsequent house price changes in other regions, showing certain linkages among regions. Using the vector autoregression model and the impulse response function, this study investigates house price diffusion among Australia's state capital cities, examining the response of one market to the innovation of other markets and determining the lagged terms for the maximum absolute value of the other markets’ responses. The results show that the most important sub‐national markets in Australia do not point to Sydney, rather towards Canberra and Hobart, while the Darwin market plays a role of buffer. The safest markets are Sydney and Melbourne. This study helps to predict house price movement trends in eight capital cities. Santrauka Ankstesnių tyrimų duomenimis, nekilnojamojo turto kainų kitimas sukelia bangų efektą atsižvelgiant į erdvinį matmenį. Tai yra nekilnojamojo turto kainų kitimus viename regione rodytų paskesnis nekilnojamojo turto kainų kitimas kituose regionuose. Taip ryškėja tam tikri glaudūs ryšiai tarp regionų. Taikant vektorinį autoregresinį modelį ir impulso perdavimo funkciją, šioje studijoje tiriama nekilnojamojo turto kainų kitimas tarp pagrindinių Australijos miestų, nagrinėjant vienos rinkos reakciją į kitų rinkų naujoves bei nustatant uždelstus terminus kitų rinkų reakcijų maksimaliai absoliutinei vertei. Rezultatai rodo, kad svarbiausios Australijos vidaus rinkos nėra orientuotos į Sidnėjų, bet labiau į Kanberą ir Hobartą. Darvino rinka atlieka buferio vaidmenį. Saugiausios rinkos yra Sidnėjus ir Melburnas. Ši studija padeda numatyti nekilnojamojo turto kainų judėjimo tendencijas aštuoniuose pagrindiniuose Australijos miestuose.
Publisher: Informa UK Limited
Date: 19-04-2017
Publisher: MDPI AG
Date: 08-10-2021
DOI: 10.3390/EN14196436
Abstract: Owing to the advantages of high construction efficiency, prefabricated residential buildings have been of increasing interest in recent years. Against the background of global heating, designing low-carbon facades for prefabricated residential buildings has become a focus. The main challenge for this research is in designing windows for prefabricated residential buildings that can lead to the best performance in carbon emissions. The purpose of this paper is to summarize window design advice for prefabricated residential building facades with low-carbon goals. This paper adopts the single control variable research method. Building energy consumption and carbon dioxide emissions under different conditions comprise the primary data used in the study. In the process of achieving the research aim, this study firstly extracts the window design elements of prefabricated residential facades. Secondly, objective function formulas are established and a basic model is built for obtaining data. Thirdly, data results are analyzed and window design advice is put forward under the condition of a low-carbon goal. This paper discusses that the optimal window-to-wall ratio (WWR) with a low-carbon orientation is around 0.15, and compares it innovatively with the optimal WWR under an energy-saving orientation at around 0.38. The research results of this paper can deepen the understanding of architectural low-carbon design and play a guiding role for architects.
Publisher: University of Technology, Sydney (UTS)
Date: 18-09-2013
Abstract: An accurate measurement of the impacts of external shocks on construction demand will enable construction industry policymakers and developers to make allowances for future occurrences and advance the construction industry in a sustainable manner. This paper aims to measurethe dynamic effects of the late 2000s global financial crisis on the level of demand in the Australian construction industry. The vector error correction (VEC) model with intervention indicators is employed to estimate the external impact from the crisis on a macro-level construction economic indicator, namely construction demand. The methodology comprises six main stages to produce appropriate VEC models that describe the characteristics of the underlying process. Research findings suggestthat overall residential and non-residential construction demand were affected significantly by the recent crisis and seasonality. Non-residentialconstruction demand was disrupted more than residential construction demand at the crisis onset. The residential constructionindustry is more reactive and is able to recover faster following the crisis in comparison with the non-residential industry. The VEC model with intervention indicators developed in this study can be used as an experiment for an advanced econometric method. This can be used to analyse the effects of special eventsand factors not only on construction but also on other industries.
Publisher: IEEE
Date: 10-2006
Publisher: Vilnius Gediminas Technical University
Date: 11-07-2017
DOI: 10.3846/1648715X.2016.1255675
Abstract: Research into the links between construction output and broader economic development has provided valuable references for inducing theoretical, empirical and policy implications. However, the impact of the construction and property markets on the construction output have not been fully addressed yet. This research argues an inter-market equilibrium between residential construction output and the related markets in terms of construction and property prices. Implementing the panel error correction model, longitudinal data of Australian capital cities is used to identify the inter-market equilibrium and associated dynamic patterns across the observed cities. Subsequently, by comparing the simulated and actual residential construction outputs, the estimated findings are evaluated. The inter-market equilibriums in the Australian capital cities appeared in geographic-spatial clusters while the economy-scale-spatial clusters were observed in dynamic patterns.
Publisher: Emerald
Date: 13-04-2022
DOI: 10.1108/ECAM-09-2020-0703
Abstract: This paper aims to clarify the CO 2 emissions of global construction industries under the consideration of different patterns of international trade and thus to draw a comprehensive picture for understanding the international paths of CO 2 transfer to global construction industries. This research inventories the CO 2 emissions induced by the final demand of 15 economies for construction products and explores the CO 2 intensities of these economies based on a multi-regional input–output model. This paper further decomposes CO 2 emissions into four components based on different patterns of international trade to estimate the roles of four patterns of international trade in shaping the environmental pressures from global construction industries. The results indicate that the CO 2 intensities of the construction industries in Russia, India and China were higher than those in other economies, and the CO 2 intensities of global construction industries experienced a decline over the years 2000–2014. The decomposition analysis demonstrates that domestic and foreign CO 2 emissions accounted for 42.67 and 54.23%, respectively, of the CO 2 emissions of the construction industries in the 15 economies during the period 2000–2007. Although the major part of the CO 2 emissions of the construction industries come from domestic production systems, the final demand for construction products in the 15 economies caused substantial emissions in other economies. Further decomposition by upstream industrial production source indicates that 58.65% of domestic emissions and 66.53% of foreign emissions can be traced back to the electricity industry. Although the major patterns of CO 2 emissions of the construction industry have been identified in this paper, the difficulty of understanding the relationship between upstream production industries or countries and the construction industry deserves more attention in the future research. Previous research on inventorying CO 2 emissions has generally been limited to evaluating the impact of industrial consumption activities on national or global emission accounting, tending to ignore the effects of different international trade patterns on the change in industrial CO 2 emissions. This research is the first attempt to account for and decompose the CO 2 emissions of global construction industries under consideration of the effects of different patterns of international trade on environmental pressures. The decomposition and upstream industrial distributions of different patterns of CO 2 emission provide a comprehensive picture for better understanding of the emission pattern and source of the CO 2 emissions of global construction industries. The research outcomes reveal how the final demand of a country for construction products induces CO 2 emissions in both domestic and foreign systems, thus providing basic information and references for policy adjustment and strategy design in relation to mitigation of climate change and sustainable development.
Publisher: American Society of Civil Engineers (ASCE)
Date: 09-2023
Publisher: Emerald
Date: 17-07-2019
DOI: 10.1108/ECAM-05-2018-0201
Abstract: Targeting public–private partnership (PPP) projects, the purpose of this paper is to help decision makers fairly allocate financial risk between governments and private investors through a properly designed length of concession period. On the one hand, the length of the concession period should be long enough to help private investors to achieve their expected profits. On the other hand, the length of a concession period cannot be decided without agreeing on an upper limit, since an overlong concession period takes too much time for governments to recover their investment and leads to an overly lucrative condition for private investors. Following this logic, the concession period decision range is decided, which defines the lower and upper limits for the length of the concession period. The net present values (NPVs) for governments and private investors are estimated via Monte Carlo simulation to better reflect the uncertainties. To further decide on the optimal length of the concession period, the principle of fair risk allocation between governments and private investors is adopted. The concession period, as an important project parameter, should help to minimize the financial risk gap between governments and private investors. The developed concession period determination process is validated using a numerical ex le of a PPP transportation project. The analysis outcomes show that the proposed methodology is capable of determining the length of the concession period so as to control private investors’ profit within a reasonable range while achieving a fair allocation of financial risk between governments and private investors. The outcomes also indicate that, before determining the optimal length for the concession period, governments may need to make a choice between better financial risk allocation or stringent profit control for private investors. The determination process developed here may be inapplicable to social infrastructure PPPs where the income stream is less predictable. In addition, the data analysis targets a highway project with a capital subsidy provided by the government. To strengthen the effectiveness of the proposed determination process, further research should apply the model to PPPs with other kinds of government support. The concession period for a PPP project is an important parameter and it is a common practice for governments to predetermine the length of the concession period before inviting tenders. The existing models for determining the concession period focus too much on the simulation of NPVs for project parties and neglect the importance of risk allocation in signing and maintaining a long-term contract. There is also a lack of research to evaluate the influence of governments’ preferences on the length of the concession period. To overcome the limitations of the existing models and enrich the methodology for concession period determination, this paper contributes to the body of knowledge by developing a concession period determination process which can help governments to make better decisions. The financial risk is expected to be more evenly shared between governments and private investors with the concession period derived from the proposed process. This determination process is also capable of evaluating the influence of governments’ preferences on the length of the concession period.
Publisher: Informa UK Limited
Date: 2008
Publisher: Informa UK Limited
Date: 06-2006
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 2016
Publisher: IEEE
Date: 05-2010
Publisher: American Society of Civil Engineers
Date: 22-06-2000
DOI: 10.1061/40571(304)8
Publisher: Informa UK Limited
Date: 29-04-2016
Publisher: MDPI AG
Date: 14-08-2021
DOI: 10.3390/BUILDINGS11080350
Abstract: Heat Pumps are becoming one of the most considered mechanical conditioning equipment in our buildings. While they are popular, there appears to be quite a vast range of system types and applications in building conditioning. This paper primarily reviews the literature on heat pumps, the various types, and the consideration of design end uses. The fact that there are different energy sources for heat pumps is considered, as well as the different sinks in which energy is stored or dissipated. It is evident that advanced heat pump systems cater well to the use of renewable energy resources. Therefore, in the move towards net-zero energy building operation, the correct selection of a heat pump can help to increase self-consumption of solar PV generation and even make use of direct solar energy heating. This paper reviews the technologies for heat pump selection, application, and design for residential buildings.
Publisher: Informa UK Limited
Date: 22-12-2018
Publisher: American Society of Civil Engineers (ASCE)
Date: 06-2006
Publisher: IEEE
Date: 07-2013
Publisher: Elsevier BV
Date: 11-2018
Publisher: Emerald
Date: 30-09-2013
DOI: 10.1108/IJHMA-03-2013-0021
Abstract: – A panel error correction model has been developed to investigate the spatial correlation patterns among house prices. This paper aims to identify a dominant housing market in the ripple down process. – Seemingly unrelated regression estimators are adapted to deal with the contemporary correlations and heterogeneity across cities. Impulse response functions are subsequently implemented to simulate the spatial correlation patterns. The newly developed approach is then applied to the Australian capital city house price indices. – The results suggest that Melbourne should be recognised as the dominant housing market. Four levels were classified within the Australian house price interconnections, namely: Melbourne Adelaide, Canberra, Perth and Sydney Brisbane and Hobart and Darwin. – This research develops a panel regression framework in addressing the spatial correlation patterns of house prices across cities. The ripple-down process of house price dynamics across cities was explored by capturing both the contemporary correlations and heterogeneity, and by identifying the dominant housing market.
Publisher: Elsevier BV
Date: 03-2017
Publisher: IEEE
Date: 05-2008
Publisher: Elsevier BV
Date: 08-2019
Publisher: Elsevier BV
Date: 02-2023
Publisher: MDPI AG
Date: 19-02-2020
DOI: 10.3390/BUILDINGS10020033
Abstract: Equalization of education facilities, which means the balanced distribution of human and material resources under limited resource conditions, is one of the goals of sustainable development. In the process of rapid urbanization in China, there are apparent discrepancies between urban and rural areas because of different land and household registration systems. Primary schools with three types of different administrative affiliations also have significant distinctions. This study is aimed at assessing and comparing the configuration of primary schools with three different administrative affiliations, including cities, towns, and villages. After building an indicator system, the entropy weight method is applied to calculate the overall and category configuration scores of each school. Based on a spatial database, the ArcGIS thematic maps display the geography characteristic of each school in different geolocations. Moreover, the Kruskal–Wallis test identifies if the configuration of primary schools with different administrative affiliations is equal. The results indicate that the allocation of primary schools with three different administrative affiliations showed a ternary development. Moreover, although primary schools with city affiliation had significant advantages in education quality and convenience, their supply–demand conditions were not optimistic. In addition, the quality of the primary schools subordinate to towns was better, but convenience was generally lower. Finally, the quality of primary schools subordinate to villages and some towns was still poor. The results provide facts and a basis for policymakers to achieve an equity configuration in the sustainable development context.
Publisher: American Society of Civil Engineers (ASCE)
Date: 05-2020
Publisher: World Scientific Pub Co Pte Lt
Date: 09-2005
Publisher: MDPI AG
Date: 02-12-2022
DOI: 10.3390/SU142316135
Abstract: The urban forest is a vital carbon sink base in a city. The carbon-oxygen balance capacity of urban forests affects the urban carbon cycle and urban sustainable development. The forests maintain the carbon-oxygen balance through carbon sequestration and oxygen release (CSOR) processes. The carbon-oxygen balance of urban forests is formed by offsetting the carbon release and oxygen consumption (CROC) process of urban social activities through the CSOR process of forestland. Based on GIS technology, this research used the carbon-oxygen balance model to analyze the CROC and CSOR and study the carbon-oxygen balance of urban forests in the southern mountainous area of Jinan, China. The results of the increase in the carbon-oxygen balance coefficients showed that the carbon-oxygen balance capacity of urban forests showed a decreasing trend, with the decrease in forest area and the increase in fossil energy consumption from 2000 to 2019 in the southern mountainous area of Jinan. To increase the urban carbon-oxygen balance capacity, the city should expand its woodland area to improve the urban forest’s CSOR capacity and adjust the urban energy consumption structure to reduce the CROC of urban social activities.
Publisher: Elsevier BV
Date: 11-2021
Publisher: Elsevier BV
Date: 06-2019
Publisher: Informa UK Limited
Date: 02-12-2014
Publisher: University of Technology, Sydney (UTS)
Date: 18-06-2014
Abstract: The linkages among different construction markets have recently attracted much attention from construction economists. The interactions among regional construction markets have been discussed in a few studies, most of which have been carried out by using input-output methods, and none of them investigated spatial effects on the regional construction markets. This study employed spatial econometric techniques, including spatial autocorrelation and convergence tests, to analyse interactions and linkages among construction price indices in Australian six states and two territories. The empirical results indicate the presence of significant positive spatial correlation among the construction prices in Australian eight construction markets and the degree of dependence decreasing sufficiently quickly as the space between regions increases. The results of convergence test further provide evidence of existence of a ripple effect in construction prices among the Australian regional markets and the changes in construction prices in a state would first positively influence neighbouring states, and then spread out into other non-neighbouring states or territories.
Publisher: Informa UK Limited
Date: 19-05-2017
Publisher: Informa UK Limited
Date: 2011
Publisher: IEEE
Date: 07-2013
Publisher: Elsevier BV
Date: 05-2018
Publisher: Elsevier BV
Date: 10-2020
Publisher: Emerald
Date: 07-08-2009
DOI: 10.1108/17538270910977527
Abstract: The purpose of this paper is to analyse the interdependencies of the house price growth rates in Australian capital cities. A vector autoregression model and variance decomposition are introduced to estimate and interpret the interdependences among the growth rates of regional house prices in Australia. The results suggest the eight capital cities can be ided into three groups: Sydney and Melbourne Canberra, Adelaide and Brisbane and Hobart, Perth and Darwin. Based on the structural vector autoregression model, this research develops an innovative interdependence analysis approach of regional house prices based on a variance decomposition method.
Publisher: Vilnius Gediminas Technical University
Date: 23-09-2013
DOI: 10.3846/1648715X.2013.822031
Abstract: Convergences of house prices have been studied for over three decades, but yet have been confirmed because of spatial heterogeneity and autocorrelations in house prices. A spatio-temporal approach was recently proposed to address the spatial and temporal issues related to house prices. However, most previous studies placed the focus on the spatial heterogeneity and autocorrelations from geographical locations, which neglected other spatial factors. In order to overcome this shortfall, this research argued a demographical distance, constructed by demographical structure and housing market scales, to investigate the house price convergences in Australian capital cities. The results confirmed the house price levels in Canberra, Brisbane and Perth converged to the house price level in Sydney.
Publisher: Emerald
Date: 16-05-2016
DOI: 10.1108/ECAM-03-2015-0040
Abstract: – Understanding and simulating construction activities is a vital issue from a macro-perspective, since construction is an important contributor in economic development. Although the construction labor productivity frontier has attracted much research effort, the temporal and regional characteristics have not yet been explored. The purpose of this paper is to investigate the long-run equilibrium and dynamics within construction development under a conditional frontier context. – Analogous to the simplified production function, this research adopts the conditional frontier theory to investigate the convergence of construction labor productivity across regions and over time. Error correction models are implemented to identify the long-run equilibrium and dynamics of construction labor productivity against three types of convergence hypotheses, while a panel regression method is used to capture the regional heterogeneity. The developed models are applied to investigate and simulate the construction labor productivity in the Australian states and territories. – The results suggest that construction labor productivity in Australia should converge to stable frontiers in a long-run perspective. The dynamics of the productivity are mainly caused by the technology utilization efficiency levels of the local construction industry, while the influences of changes in technology level and capital depending appear limited. Five regional clusters of the Australian construction labor productivity are suggested by the simulation results, including New South Wales Australian Capital Territory Northern Territory, Queensland, and Western Australia South Australia and Tasmania and Victoria. – Three types of frontier of construction labor productivity is proposed. An econometric approach is developed to identify the convergence frontier of construction labor productivity across regions over time. The specified model can provides accurate predictions of the construction labor productivity.
Start Date: 2008
End Date: 12-2010
Amount: $210,000.00
Funder: Australian Research Council
View Funded Activity