ORCID Profile
0000-0001-6092-7842
Current Organisation
Deakin University
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Periodica Polytechnica Budapest University of Technology and Economics
Date: 12-05-2020
DOI: 10.3311/PPCI.15323
Abstract: A cursory review of the Building Management System (BMS) which optimizes building performance as a move towards smart cities has been presented in the present study. The extant study is an effort to distinguish and analyze the circumstances as if the underdeveloped economies are less likely to be benefitted by the contemporary trends of BMS as compare to the developed countries. Moreover, the current study identifies the factors which may cause to render the managerial acceptance for using BMS through the Technology Acceptance Model (TAM). TAM was used to measure four behaviors (latent factors) namely subjective norms, organization support, compatibility, and technology complexity. The data were statistically evaluated via multiple regression analysis using the Statistical Package for Social Sciences (SPSS). Results suggested that organization support and compatibility have a significant influence on managerial intentions to use BMS while subjective norms, technology complexity have no significant influence. The findings of this study may serve as guidelines for improvement in the acceptance process and using building management systems in commercial sectors of developing countries.
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier BV
Date: 12-2017
Publisher: Springer Singapore
Date: 2020
Publisher: American Society of Civil Engineers (ASCE)
Date: 2020
Publisher: Elsevier BV
Date: 04-2018
Publisher: American Society of Civil Engineers (ASCE)
Date: 02-2022
Publisher: Wiley
Date: 19-11-2019
DOI: 10.1002/ANA.25619
Publisher: American Society of Civil Engineers (ASCE)
Date: 06-2021
Publisher: Informa UK Limited
Date: 20-02-2020
Publisher: Elsevier BV
Date: 04-2018
Publisher: American Society of Civil Engineers (ASCE)
Date: 06-2021
Publisher: Elsevier BV
Date: 2017
Publisher: Springer Science and Business Media LLC
Date: 03-11-2016
Publisher: MDPI AG
Date: 29-06-2018
DOI: 10.3390/SU11082211
Abstract: With increasing focus on more nuanced aspects of quality of life, the phenomenon of urban visual pollution has been progressively gaining attention from researchers and policy makers, especially in the developed world. However, the subjectivity and complexity of assessing visual pollution in urban settings remain a challenge, especially given the lack of robust and reliable methods for quantification of visual pollution. This paper presents a novel systematic approach for the development of a robust Visual Pollution Assessment (VPA) tool. A key feature of our methodology is explicit and systematic incorporation of expert and public opinion for listing and ranking Visual Pollution Objects (VPOs). Moreover, our methodology deploys established empirical complex decision-making techniques to address the challenge of subjectivity in weighting the impact of in idual VPOs. The resultant VPA tool uses close-ended options to capture the presence and characteristics of various VPOs on a given node. Based on these inputs, it calculates a point based visual pollution scorecard for the observation point. The performance of the VPA tool has been extensively tested and verified at various locations in Pakistan. To the best of our knowledge, this is the first such tool, both in terms of quantitative robustness and broad coverage of VPOs. Our VPA tool will help regulators in assessing and charting visual pollution in a consistent and objective manner. It will also help policy makers by providing an empirical basis for gathering evidence hence facilitating evidence-based and evidence-driven policy strategies, which are likely to have significant impact, especially in the developing countries.
Publisher: Elsevier BV
Date: 08-2018
Publisher: MDPI AG
Date: 27-10-2023
Publisher: Elsevier BV
Date: 02-2021
DOI: 10.1016/J.EPLEPSYRES.2020.106537
Abstract: We investigated the possible significance of rare genetic variants to response to valproic acid (VPA) and ethosuximide (ETX) in patients with absence epilepsy. Our primary hypothesis was that rare CACNA1H variants are more frequent in ETX-non-responsive patients compared to ETX-responsive. Our secondary hypothesis was that rare variants in GABA-receptor genes are more frequent in VPA-non-responsive patients compared to VPA-responsive. We recruited patients with absence epilepsy treated with both VPA and ETX, and performed whole exome sequencing in order to investigate the potential role of rare variants in CACNA1H, other voltage-gated calcium channel (VGCC) genes, or GABA-receptor genes in predicting response to ETX or VPA. Sixty-two patients were included 12 were ETX-responsive, 14 VPA-responsive, and 36 did not have a clear positive response to either medication. We did not find significant enrichment inCACNA1H rare variants in ETX-responsive patients (odds ratio 3.43 0.43-27.65 p = 0.20), nor was there enrichment for other VGCC genes. No significant enrichment of GABA-receptor gene rare variants was seen for VPA-non-responsive patients versus VPA-responsive. We found enrichment of rare GABA-receptor variants in our absence cohort compared to controls (odds ratio 3.82 1.68-8.69). There was no difference in frequency of CACNA1H rs61734410 and CACNA1I rs3747178 polymorphisms between ETX-responsive and ETX-non-responsive groups these polymorphisms have previously been reported to predict lack of response to ETX in absence epilepsy. We conclude that if CACNA1H rare variants predict lack of response to ETX, a larger s le is necessary to test this with sufficient power. Increased GABA-receptor gene rare variant frequency in absence epilepsy patients who fail initial anti-seizure therapy suggests subtle GABA receptor dysfunction may contribute to the underlying pathophysiology.
Publisher: MDPI AG
Date: 10-10-2022
DOI: 10.3390/SU141912905
Abstract: Safety is a well-researched yet underperforming management aspect of the construction industry. Building information modeling (BIM) can help, and some frameworks have addressed safety management in limited phases of the project lifecycle. This study positions BIM centrally in the safety management process and develops a safety management framework that covers the entire lifecycle of a construction project in the context of developing countries. A systematic literature review is conducted to identify the safety factors and BIM features that are synthesized to devise BIM-based safety improvement strategies. The strategies are presented to construction management professionals from developed and developing countries through an online questionnaire survey, and their level of agreement is identified. Afterward, construction safety experts are engaged to integrate these strategies into appropriate lifecycle phases. Additionally, these experts are also engaged to develop an automated hazard recognition process to leverage BIM potential in safety management. The integration of strategies into project lifecycle phases resulted in a comprehensive safety implementation framework leveraging the BIM platform. This framework takes a lead from the experience of developed countries and considers the limitations of developing countries in terms of resources and technology. Furthermore, a BIM-based process map for hazard identification is developed. The process map takes the BIM model as input and provides a detailed safety report. The process map can be automated to enhance effective safety management. This study expands the body of knowledge through a BIM-driven lifecycle safety management framework for developing countries where BIM adoption is still in its early stages. It is a fresh take on safety automation to make the construction industry safer and more reliable. However, it is limited due to inadequate safety reporting and documentation in developing countries. Future research can improve upon this limitation by positioning in a safety-compliant culture.
Publisher: Science Publications
Date: 07-2013
Publisher: Pontificia Universidad Catolica de Chile
Date: 2019
Publisher: American Society of Civil Engineers (ASCE)
Date: 11-2018
Publisher: MDPI AG
Date: 20-03-2020
DOI: 10.3390/EN13061480
Abstract: Rising demand and limited production of electricity are instrumental in spreading the awareness of cautious energy use, leading to the global demand for energy-efficient buildings. This compels the construction industry to smartly design and effectively construct these buildings to ensure energy performance as per design expectations. However, the research tells a different tale: energy-efficient buildings have performance issues. Among several reasons behind the energy performance gap, occupant behavior is critical. The occupant behavior is dynamic and changes over time under formal and informal influences, but the traditional energy simulation programs assume it as static throughout the occupancy. Effective behavioral interventions can lead to optimized energy use. To find out the energy-saving potential based on simulated modified behavior, this study gathers primary building and occupant data from three energy-efficient office buildings in major cities of Pakistan and categorizes the occupants into high, medium, and low energy consumers. Additionally, agent-based modeling simulates the change in occupant behavior under the direct and indirect interventions over a three-year period. Finally, energy savings are quantified to highlight a 25.4% potential over the simulation period. This is a unique attempt at quantifying the potential impact on energy usage due to behavior modification which will help facility managers to plan and execute necessary interventions and software experts to develop effective tools to model the dynamic usage behavior. This will also help policymakers in devising subtle but effective behavior training strategies to reduce energy usage. Such behavioral retrofitting comes at a much lower cost than the physical or technological retrofit options to achieve the same purpose and this study establishes the foundation for it.
Publisher: MDPI AG
Date: 23-08-2023
DOI: 10.3390/BUILDINGS13092143
Abstract: The healthcare industry significantly impacts the environment due to its high usage of energy and natural resources and the associated waste generation. This study applied a cradle-to-grave Life Cycle Sustainability Assessment (LCSA) approach to assess the environmental and social life cycles of public hospitals. One hundred twenty-four public hospitals were selected for the current study their sustainability performance was compared with those certified by Leadership in Energy and Environmental Design (LEED). The comparison revealed several factors contributing to the poor sustainability performance of public hospitals. These include inadequate management, substandard planning, political interference, insufficient staffing and funding, high energy consumption, high expenses, inconsistent healthcare policies, and conventional building designs. System thinking was leveraged, and a causal loop diagram (CLD) was developed to visualize the interdependency of the identified indicators of LCSA. Based on the findings of the study, a policy framework is proposed to guide the development of sustainable healthcare buildings. The framework includes using eco-friendly materials and techniques in construction, harnessing solar energy, improving hospital management practices, promoting public awareness about sustainability, conserving energy and water, and adopting sustainable waste management and transportation. Additionally, it emphasizes addressing social issues such as improving indoor air quality, thermal comfort, lighting, acoustics, patient safety, and security and ensuring that healthcare services are accessible and affordable. This study contributes to the literature on sustainable healthcare buildings by providing a practical policy framework for achieving sustainability in the healthcare sector.
Publisher: Emerald
Date: 09-12-2019
Abstract: The purpose of this paper is to investigate critical barriers hindering the adoption of green supply chain management (GSCM) and the opportunities that can be exploited with such an implementation in the construction industry of developing countries. It also devises strategies to avoid critical barriers in implementation and exploit opportunities for a better overall environmental performance of the construction industry. This research relies upon an extensive literature review data are collected from 163 professionals and 15 interviews of field professionals from 11 developing countries are conducted. The barriers and opportunities are synthesized through literature review and then data are collected over their significance from the construction professionals through an online survey. To highlight the interconnectedness of the critical barriers and opportunities, a causal loop framework is developed. Furthermore, expert opinion is sought to develop the strategies. This research integrates information from different sources and provides a holistic view of the current situation of GSCM in developing countries. In total, 34 barriers and 23 opportunities are extracted from literature. The top 4 barriers fall under the “involvement and support” category, whereas the top four opportunities fall under the “environmental” category. Furthermore, the strategies to implement GSCM include suitable policies by top management to incorporate practices such as innovative green design, green procurement, green packaging, green distribution and even end-of-life management, which play a vital role in emission reduction. This research is a first attempt at evaluating the barriers and opportunities facing GSCM in the construction sector of the developing countries. The findings encourage the stakeholders in adopting GSCM practices by presenting a clear picture of the potential benefits that can be exploited by implementing the proposed strategies to eliminate critical barriers in the construction industry.
Publisher: Emerald
Date: 10-11-2020
Abstract: The purpose of this research is to determine a comprehensive coursework for teaching quality management in the universities of developing countries i.e. Pakistan pertinent to the construction industry. Additionally, a framework was also developed based on the results. Factors and course contents of quality management are extracted through a content analysis of the published literature. Further, a questionnaire survey is conducted involving 150 professionals to assess the requirements of the industry and academic professionals of the construction industry for effective quality management. Finally, for getting a more objective perspective, using quality function deployment (QFD) matrix a framework is developed. The results show the level of importance of each design requirement. We can identify the design requirements through which we can fulfill the needs and demands of the stakeholders. Contents like benchmarking, supply chain management, six sigma and other data analysis methods, costing and auditing of quality, customer satisfaction analysis, TQM: theory and practices and ISO certification processes and procedures should be included in any course program related to quality management pertinent to the construction industry. Along with these contents, workshops and seminars must be arranged to address the user requirement for increased leadership and communication skills. There is a lack of literature available on course content for quality management in the universities for the construction sector, therefore, a huge scope of future research in the field of quality management in the construction industry needs to be investigated. This research highlights the most significant quality management factors and course contents as per the requirement of industry professionals. Therefore, this study adds to the existing body of knowledge by developing a robust framework that will help decision-makers and top management to develop constructive quality management course work at university level that will help in producing qualified and trained quality professionals to the construction industry.
Publisher: American Society of Civil Engineers (ASCE)
Date: 04-2019
Publisher: Informa UK Limited
Date: 16-04-2019
Publisher: SAGE Publications
Date: 10-06-2019
Abstract: Risk is inherent in construction projects and managed through contingency. Dynamic management of contingency escrow accounts during project execution poses decision-making challenges. Project managers use key performance indicators (KPIs) for contingency release decisions. However, their subjective mental models influence risk perception, exacerbating the decision-making dilemma. This research integrates project KPIs with future risk perception to develop a mathematical model for facilitating such decision making. Results suggest timely completion, project cost, stakeholder satisfaction, quality and safety as top KPIs, and the influence of managerial pressure as a significant decision contributor. The proposed model helps project managers in dynamic decision making for cost contingency.
Publisher: MDPI AG
Date: 29-12-2021
DOI: 10.3390/SU14010344
Abstract: Integrating sustainability in the risk management process is an emergent problem, especially for efficient infrastructure delivery. For the case of complex projects like public–private partnerships (P3), traditional management practices offer a limited capacity to address long-ranging risk impacts on the social, economic, and environmental fabric within and around the project boundaries. Although P3 projects are objective-based contracts, present risk models rarely delineate risk impacts on focused project objectives. The relevant studies are very scarce creating a limited understanding of available approaches to conducting sustainability-based risk management for P3 projects. As risk and sustainability are two inherently subjective concepts with multiple interpretations, their combined assessment within a single framework demands a pragmatic approach. Therefore, the current study presents a model for conducting a sustainability-based risk assessment of P3 infrastructure projects through global data. Monte Carlo simulation is employed to further define the probabilistic risk ranges and risk ranks over relevant triple-bottom-line-based sustainability indicators for highway sector P3 projects. Findings are further demonstrated through two highway case studies and relevant mitigation strategies are also suggested. In the end, an implementation framework and future recommendations for the application of study findings on actual projects are also suggested. The study has useful implications for practitioners and researchers alike aiming for the delivery of sustainable complex projects.
Publisher: Elsevier BV
Date: 08-2020
Publisher: MDPI AG
Date: 15-11-2021
DOI: 10.3390/SU132212583
Abstract: Water scarcity has become a major problem for many countries, resulting in declining water supply and creating a need to find alternative solutions. One potential solution is rainwater harvesting (RwH), which allows rainwater to be stored for human needs. This study develops an RwH assessment system through building information modeling (BIM). For this purpose, a hydrological study of Cfa-type climate cities is conducted with the ex le of Islamabad, Pakistan. The monthly rainfall data of three sites were assessed to determine the volume of the accumulated rainwater and its potential to meet human needs. The average number of people living in a house is taken as the household number. Household number or of the number of employees working at a small enterprise, roofing material, and rooftop area are used as the key parameters for pertinent assessment in the BIM. The data simulated by BIM highlight the RwH potential using five people per house as the occupancy and a 90 m2 rooftop area for residential buildings or small enterprises as parameters. The results show that the selected sites can collect as much as 8,190 L/yr of rainwater (48 L erson/day) to 103,300 L/yr of rainwater (56 L erson/day). This much water is enough to fulfill the daily demands of up to five people. Therefore, it is established that the study area has an RwH potential that is able to meet the expected demands. This study presents a baseline approach for RwH to address water scarcity issues for residential buildings and factories of the future.
Publisher: Informa UK Limited
Date: 02-06-2016
Publisher: Emerald
Date: 08-07-2019
DOI: 10.1108/IJCMA-04-2019-0074
Abstract: The purpose of this research is to quantify the effect of stakeholder conflicts on project constraints in the construction industry using ordinal regression analysis. For this purpose, the most significant project constraints and factors that cause stakeholder conflicts found in the literature are measured. Factors causing stakeholder conflicts and project constraints are extracted through a content analysis of the published literature. Further, a questionnaire survey is conducted involving 170 professionals to assess the effect of conflicts on project constraints. Finally, to obtain a more objective assessment, a statistical model is developed, and to highlight the most severe factors causing conflict and impacting project constraints, ordinal regression analysis is performed. The results show that in the construction industry, all project constraints are affected by stakeholder conflicts. Factors that result in stakeholder conflicts indicated a positive relationship with cost, time and resources. This means that any increase or decrease in the effect of stakeholder conflicts will directly influence these three project constraints. Similarly, a negative relationship was observed between stakeholder conflicts and quality, workforce productivity, protection of environment and safety regulations in the construction industry, indicating that increase in the effect of stakeholder conflicts will decrease these four project constraints and vice versa. The results for cumulative ordinal regression model highlight that lack of communication, poor quality of completed works and change orders and rework have intense effects on project constraints collectively. A small number of studies have been undertaken to examine the emergence of project constraints in the developing countries. And even more, its relationship with stakeholder conflicts in the construction industry is limited. This research highlights the most significant project constraints and factors that result in stakeholder conflicts in the construction industry. Therefore, this study adds to the existing body of knowledge by developing an ordinal regression model that will help decision-makers and top management control this enigma of stakeholder conflicts in the construction industry.
Publisher: Inderscience Publishers
Date: 2016
Publisher: MDPI AG
Date: 18-08-2021
DOI: 10.3390/SU13169270
Abstract: Building Information Modeling (BIM) is recognized as one of the most significant technological breakthroughs in the Architecture, Engineering, and Construction (AEC) industry. The pace of implementation of BIM in AEC has increased during the past decade with an enhanced focus on sustainable construction. However, BIM implementation lags its potential because of several factors such as readiness issues, lack of previous experience in BIM, and lack of market demand for BIM. To evaluate and solve these issues, understanding the current BIM implementation in construction organizations is required. Motivated by this need, the main objective of this study is to propose a tool for the measurement of BIM implementation levels within an organization. Various sets of indexes are developed based on their pertinent Critical Success Factors (CSFs). A detailed literature review followed by a questionnaire survey involving 99 respondents is conducted, and results are analyzed to formulate a BIMp-Chart to calculate and visualize the BIM implementation level of an organization. Subsequently, the applicability of the BIMp-Chart is assessed by comparing and analyzing datasets of four organizations from different regions, including Qatar, Portugal, and Egypt, and a multinational organization to develop a global measurement tool. Through measuring and comparing BIM implementation levels, the BIMp-Chart can help the practitioners identify the implementation areas in an organization for proper BIM implementation. This study helps understand the fundamental elements of BIM implementation and provides a decision support system for construction organizations to devise proper strategies for the effectual management of the BIM implementation process.
Publisher: Springer Science and Business Media LLC
Date: 08-11-2022
Publisher: IntechOpen
Date: 16-11-2022
DOI: 10.5772/INTECHOPEN.105050
Abstract: With time, construction waste is increasing massively and its dumping is a serious issue globally. Utilizing the waste in various products and construction projects is boosting, but still, the amount of waste is much higher. Transitions to more sustainable construction can assist in attaining the specific goal of slowing down natural resources depletion, reducing environmental damage by extracting and recycling new materials, and minimizing pollution from the processing, use, and disposal of materials once they complete their useful life period. An important way to do this is to improve efficiency and bring productivity in the utilization of resources. The circular economy is more productive and healthier, where raw materials are stored longer in the production cycle and can be recycled, thus producing less waste. Due to potential benefits through enhanced quality and productivity in the processes, the concept of circular economy is grabbing the attention of construction industry stakeholders to attain sustainable construction waste management. This chapter focuses on the significance of a circular economy for the attainment of sustainable waste management in the construction sector. Moreover, the impact of construction waste and its utilization through recent sustainable solutions which also impact the economy has also been highlighted.
Publisher: MDPI AG
Date: 27-04-2022
DOI: 10.3390/SU14095279
Abstract: Despite its importance and appeal, the social dimension of sustainability in construction projects is less explored and lacks a comprehensive and standardized framework. This diminishes the holistic view of sustainability. The existing customized frameworks make the selection of factors challenging across different contexts. Eventually, the practitioners have to pick and choose the factors. This reduces the reliability of social sustainability assessments and makes them a procedural challenge. To fill this gap, the current review synthesizes a framework of social sustainability for construction projects. For this purpose, a systematic review of the literature published until 2021 is performed. The indicators are extracted from the selected 22 papers and their content is analyzed to check for similarities. The final set of 76 factors is synthesized into an assessment framework through a thematic analysis based on a bottom-up approach. The framework is organized into 7 enablers or themes, 27 indicators, and 76 sub-indicators. The enablers of social sustainability are stakeholder, safety and health, human resource development, project, industry, community, and government. The framework provides a comprehensive and precise view of social sustainability which can be leveraged to ensure better planning and sustainable development of construction projects.
Publisher: Emerald
Date: 13-03-2017
Abstract: The purpose of this paper is to investigate the level of implementation of Six Sigma (SS) in the construction industry of Pakistan along with the current state of affairs and the challenges, and opportunities for a successful implementation. The research is purely exploratory in nature. Based on published work, critical success factors are gathered, and a number of questionnaire surveys and interviews are conducted to refine and quantify their impact. A system dynamics framework to assess the SS influence on project success is developed and case study project are simulated. The construction industry of Pakistan is still functioning in a traditional way marred with low level of awareness and ad hoc approaches, the findings point to a huge improvement opportunity. Further, when under planning projects are exposed to SS, the chances of project success improve better than under execution projects. The limited level of awareness possessed by the respondents constrains the possible outreach of this work in industrially developed contexts. However, this work may become an impetus for further research in managing quality in construction industry. The findings can be used to improve the quality provision of construction projects. This work may trigger an important debate over the research and implementation of SS in the construction industry of developing countries that may greatly benefit by improving the quality of their projects and rectify their diminishing reputation for project success.
Publisher: MDPI AG
Date: 24-12-2021
Abstract: Manual inspection of infrastructure damages such as building cracks is difficult due to the objectivity and reliability of assessment and high demands of time and costs. This can be automated using unmanned aerial vehicles (UAVs) for aerial imagery of damages. Numerous computer vision-based approaches have been applied to address the limitations of crack detection but they have their limitations that can be overcome by using various hybrid approaches based on artificial intelligence (AI) and machine learning (ML) techniques. The convolutional neural networks (CNNs), an application of the deep learning (DL) method, display remarkable potential for automatically detecting image features such as damages and are less sensitive to image noise. A modified deep hierarchical CNN architecture has been used in this study for crack detection and damage assessment in civil infrastructures. The proposed architecture is based on 16 convolution layers and a cycle generative adversarial network (CycleGAN). For this study, the crack images were collected using UAVs and open-source images of mid to high rise buildings (five stories and above) constructed during 2000 in Sydney, Australia. Conventionally, a CNN network only utilizes the last layer of convolution. However, our proposed network is based on the utility of multiple layers. Another important component of the proposed CNN architecture is the application of guided filtering (GF) and conditional random fields (CRFs) to refine the predicted outputs to get reliable results. Benchmarking data (600 images) of Sydney-based buildings damages was used to test the proposed architecture. The proposed deep hierarchical CNN architecture produced superior performance when evaluated using five methods: GF method, Baseline (BN) method, Deep-Crack BN, Deep-Crack GF, and SegNet. Overall, the GF method outperformed all other methods as indicated by the global accuracy (0.990), class average accuracy (0.939), mean intersection of the union overall classes (IoU) (0.879), precision (0.838), recall (0.879), and F-score (0.8581) values. Overall, the proposed CNN architecture provides the advantages of reduced noise, highly integrated supervision of features, adequate learning, and aggregation of both multi-scale and multilevel features during the training procedure along with the refinement of the overall output predictions.
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 2017
Publisher: SAGE Publications
Date: 29-06-2023
DOI: 10.1177/87569728231180268
Abstract: There is a growing face-value acceptance of optimism bias as the primary cause of transport cost overruns. This article provides a timely review of literature on optimism bias and transport infrastructure project cost overruns. The article identifies significant gaps and unanswered questions about the relationship between optimism bias in project cost appraisal and cases of transport infrastructure cost overruns. The presence and nature of optimism bias in the complex institutional environment of project cost appraisal are largely understudied and not well understood. Consequently, this has significant implications for the development of effective mitigation strategies for improving transport project cost performance.
Publisher: Emerald
Date: 15-04-2020
DOI: 10.1108/ECAM-05-2019-0244
Abstract: Despite the efforts of project managers and the widespread use of project management methodologies, most of the projects remain unfulfilling in terms of delivering targeted performance. This for most part can be attributed to the inability of an organization to implement control mechanisms and ineffective management of complexity risk. Keeping in view the aforementioned problem, the objective of this study is to investigate the association between control modes and project performance. Moreover, this study also examines the moderating role of complexity risk on the association among various control modes and project performance. The data were collected from 171 construction projects through a postal questionnaire survey. Partial least squares structural equation modeling was utilized for testing the hypothesized relationships of the research model. This study found significant positive relation between formal and informal control mechanisms and project performance. It is found that complexity risk significantly moderates the relationship between control modes and project performance. The results indicate that complexity risk positively moderates the relationship between outcome control and clan control with project performance. Furthermore, complexity risks negatively moderates the relationship between behavior control and project performance. However, the association between self-control and project performance is found insignificant in the presence of complexity risk. This study is the first attempt to study the relationship of control mechanisms, complexity risk and project performance in the construction industry.
Publisher: Springer Singapore
Date: 19-12-2018
Publisher: Informa UK Limited
Date: 13-10-2015
Publisher: American Society of Civil Engineers (ASCE)
Date: 03-2017
Publisher: MDPI AG
Date: 23-05-2022
DOI: 10.3390/BUILDINGS12050700
Abstract: Building materials with a low environmental impact are critical to the sustainability of the built environment. The environmental impact of materials can be determined by a Life Cycle Impact Assessment (LCIA), which constitutes multiple parameters such as the water used in a material’s life cycle. To use the LCIA approach for building material selection, its parameters need to be assigned different weights, which is the primary objective of this study. Building Information Modelling (BIM) can play an influential role when using LCIA during the building design process. With this consideration, we study the attention given to environmental sustainability in buildings and the responsiveness of BIM in this case. A multi-regional survey of 120 experts from academia and industry was conducted. The results show the relative importance of LCIA parameters and the focus of the building sector on environmental sustainability. The current and the future responsiveness of BIM towards environmental sustainability is also indicated. To promote the integration of LCIA in building design and performance assessment, the future role of BIM applications is explored. The results will contribute to research and practice in the sustainable built environment by helping select environment-friendly building materials.
Publisher: Emerald
Date: 17-11-2014
DOI: 10.1108/JCHMSD-12-2012-0068
Abstract: – The purpose of this paper is to introduce and develop a knowledge base for the restoration industry to understand and deal with risks arising in restoration projects in a sustainable way. Restoration projects face a number of risks and are viewed unfavorably. The research study, therefore, is expected to generate interest and debate among the professional and researcher community in the arena of restoration of built cultural heritage for formally applying Project Management (PM) and Project Risk management (PRM) theories and practices. – The research method consists of reviewing published literature and analyzing the dynamics of restoration industry (both from academic and practitioner point of view) in order to propose an application framework. Building upon and taking inspiration from the fundamentals of Construction Management, the proposed framework aims at methodically applying risk management within the proposed PM stages. – Research results confirm that the restoration industry has not yet exposed to formal PM and PRM theories and practices to a greater level. The restoration projects are not necessarily so sustainable in their approach. Thus, there is enormous impetus and ensuing incentive for incorporating the formal theories and customized tools. – This research attempts to target the exceedingly important area of cultural heritage restoration and the missing aspect of PM and PRM. Further, the proposed framework is an attempt at bridging communication gaps between management and restoration experts. Thus, it highlights the importance of scientifically and effectively managing restoration projects. Nevertheless, this uniting attempt has its own risks in terms of terminologies, technical language, and the understanding of risk and its management which may be the effective limitations. Since in the field of engineering as well, the foundation of PM and PRM areas of knowledge finds its traces in Construction Management – which is further an application of management in construction engineering – therefore, it is rather challenging to reconcile knowledge from different areas. – The paper explores issues concerning sustainability of restoration projects based on their use of PM and PRM. Results are expected to help stakeholders of restoration projects understand and apply the proposed PRM framework. This study is also aimed to develop a foundation for dissemination of PM and PRM knowledge in the restoration industry, and provide an impetus for future studies to examine how restoration projects can deal with risky situations. – The paper explores the sustainable development aspects of restoration projects in order to help stakeholders of built cultural heritage make critical decisions because if not managed properly, risks in a restoration project may either cause project failure or damage the historical buildings. Therefore, from a sustainable perspective, it is imperative that stakeholders identify, analyze, control and manage risks before commencing the restoration activities. – The study is an original effort in examining the penetration of PM and PRM practices in restoration industry. Based on it, the study proposes an original framework for application of formal PRM for restoration projects. Results are of relevance in today's world where risks hinder and sustainability guides the decision making.
Publisher: Informa UK Limited
Date: 07-06-2018
Publisher: Golden Light Publishing
Date: 30-09-2020
Publisher: Springer Science and Business Media LLC
Date: 17-01-2023
DOI: 10.1007/S11135-022-01574-8
Abstract: Construction projects are complex endeavors where achieving higher quality standards is challenging due to the intrinsic difficulties and dynamic quality management processes. Several quality management techniques exist to overcome quality concerns, such as the cost of quality (COQ). However, implementing COQ in building construction is challenging due to the absence of a comprehensive quality cost-capturing system. Several studies have tried to quantify different quality costs but are mainly focused on visible failure cost—the tip of the iceberg while the base of the iceberg has rarely been explored. This study develops and quantifies each component of the visible and hidden quality costs—the base of the iceberg. Accordingly, a modified prevention, appraisal, and failure model is developed and applied to the primary data of 25 building projects. The findings highlight the unfamiliarity and passive attitude of the involved construction firms towards quality, thus, incurring higher failure costs amounting to over 12% of the total project cost. Most of this cost remains hidden as traditional accounting systems cannot capture it. Such costs must be eliminated by implementing COQ systems as utilized in the current study. Further, a quality costing framework is established for building projects and applied to the local construction industry to reduce construction failures and improve the quality performance of building projects.
Publisher: Elsevier BV
Date: 07-2022
Publisher: Faculty of Engineering, Chulalongkorn University
Date: 31-07-2017
Publisher: MDPI AG
Date: 27-03-2021
DOI: 10.3390/SU13073743
Abstract: Economic growth, social wellbeing, and infrastructure are strongly interrelated and jointly contribute to national development. Therefore, evaluation and selection of a road infrastructure project direly need a comprehensive sustainability assessment integrating holistic decision criteria. This study presents an elaborate life cycle sustainability-based project evaluation tool, comprising an assessment framework, an integration model, and a decision framework. In the first phase, a life cycle sustainability assessment (LCSA) framework for road infrastructure is established using mixed methods. In the second phase, interviews are conducted to obtain pairwise comparisons among impact categories and subjective reasoning of their priorities. Analytical hierarchy process (AHP) is adopted to develop the LCSA integration model. The minimum threshold limits of impact categories are evaluated and integrated into the proposed decision framework. Further, thematic and cross-sectional analyses are performed on the interview findings to rationalize the proposed decision framework. The findings include a detailed and customized project assessment framework, an integration model, and a decision framework for the assessment of different project alternatives. This study helps policy- and decision-makers in selecting the project alternative by maximizing sustainability in road infrastructure projects. Insights into environmental and social externalities and their quantitative interpretation throughout the life of the road are also achieved.
Publisher: MDPI AG
Date: 24-05-2022
DOI: 10.3390/BUILDINGS12060701
Abstract: This study addressed the complexity involved in integrating the causative risk factors influencing construction profitability. Most of the existing studies cover the in idual effects of profitability influencing factors. Very few focus on the systematic impact without incorporating the complexity and associated dynamics, presenting a gap targeted by the current study. The current study aimed to assess causative interrelations and interdependencies between profitability influencing risk factors (PIRF), through systems thinking (ST) and system dynamics (SD) modeling. The SD approach was used to evaluate the integrated impacts on profitability-influencing risk categories (PIRC) in construction projects. The causative influencing factors affecting construction profitability were identified through a comprehensive literature review. These were ranked using content analysis, and categorized into significant issues. Through 250 structured surveys and 15 expert opinion meetings, the path for quantitative and qualitative evaluations was prepared. Following these investigations, a causal loop diagram (CLD) was established using the ST technique, and the integrated effect was quantified using SD modeling. The study finds the rising cost of material, supply chain process, payment issues, planning and scheduling problems, financial difficulties, and effective control of manpower and equipment resources as the most critical PIRFs. The integrated effects of PIRFs on PIRC were quantified using SD modeling. This study helps field professionals with profitability-influencing factors, diagnosing issues, and integrating impacts regarding decision-making and policy formulation. For researchers, it presents a list of factors that can be investigated in detail, and the holistic interrelationships established.
Publisher: ASTES Journal
Date: 12-2016
DOI: 10.25046/AJ010602
Publisher: Elsevier BV
Date: 06-2021
Publisher: Science Publications
Date: 2014
Publisher: Emerald
Date: 13-09-2019
DOI: 10.1108/SASBE-11-2018-0060
Abstract: The formal application of project risk management (PRM) in green building projects is still an emergent part of project management. The purpose of this paper is to provide a conceptual PRM framework that increases the probability of success in green building projects by minimizing unexpected events. This paper interprets the related literature and uses the opinion of green building experts. It exposes some pertinent elements needed for structuring the PRM framework and suggests some mitigation actions for high-ranked risks. It also performs ex-post analysis on a case study to practically validate the proposed framework. It is found that high initial cost, lack of experienced contractors and subcontractors, consideration of lifecycle inflation and experience in green building project management are the most significant risks. To address them, the framework proposes a rigorous selection of contractors, provision of financial incentives from the government, setting of a time buffer to accommodate legal process and development of a deliberate proactive financial model. This paper contributes to the body of knowledge and practice by providing a reasonable strategy for employing the PRM framework capable of effectively managing risk in green building projects to keep organizations competitive within the business environment. The overall aim of this study is to contribute to the further development of the area of risk assessment and risk management from a knowledge-based perspective.
Publisher: Emerald
Date: 04-09-2017
DOI: 10.1108/SASBE-06-2017-0023
Abstract: The purpose of this paper is to investigate the barriers inhibiting the adoption of green building and measures to promote this approach in Pakistan. Barriers and measures were identified and examined by using a combination of research methods, including literature review, questionnaire survey, and in-depth interviews with the construction industry-related practitioners working in Pakistan. Ranking technique and factor analysis were used to identify the significant issues associated with the adoption of green building practices. As per the survey results, the most critical barrier is “lack of awareness among people about the importance and advantages of adopting green building practices,” followed by “lack of incentives from government” and “lack of green building codes and regulations,” respectively. The results also indicate that most important measure to promote the adoption of green buildings is “creation of public awareness toward green initiatives through seminars, workshops, and discussions,” followed by “availability of green building codes and regulations (mandatory to apply)” and “financial incentives and penalties by the government (e.g. soft loan, tax) for promoting green building practices,” respectively. Research limitation is that its findings, other than Pakistan, cannot be generalized to other developing countries. Findings of the research will be helpful in sensitizing the regulatory agencies, the policy makers, and the building construction practitioners about the barriers to adoption of green building practices. The suggested measures will help in devising policies and economic measures to promote the construction of green and environment-friendly buildings. This research will help the common people to know about the importance of green buildings that may lead to a deviation from the practice of traditional buildings to a widespread trend of building green buildings. This will lead to drastic reduction in demand for energy and considerable monetary savings for the common people. The findings of this study are expected to contribute valuable information to decision makers for the better understanding of key issues that call for more attention in the promotion of efforts of green building practices in Pakistan. The results are based on the perception of local stakeholders, but might also be helpful for policy makers in other countries.
Publisher: Elsevier BV
Date: 12-2021
Publisher: Inderscience Publishers
Date: 2016
Publisher: Emerald
Date: 07-11-2016
DOI: 10.1108/JFMPC-02-2016-0011
Abstract: The purpose of this paper is to investigate the critical decision factors of public–private partnership (PPP) concession which is complex due to a number of uncertain and random variables. To identify critical factors contributing to determination of concession period, this study reviews the published literature. It also identifies countries contributing most in PPP research. As a whole, it provides a mutually beneficial scenario by formulating a decision-making matrix. This paper reviews the literature published during the period 2005-2015. A two-staged methodology is followed on retrieved scholarly papers: first, countries contributing to PPP are identified along with authors and affiliated institutions. Second, using frequency analysis of shortlisted critical factors, yearly appearance and stakeholders affected, a decision matrix is formulated. The most contributing country toward PPP research is China, followed by the USA both in terms of country- and author-based contribution. In total, 63 factors are identified that affect PPP concession out of which, 8 per cent are highly critical and 21 per cent are marginally critical for decision-making. Critical factors of PPP concession period will be identified with the help of decision-making matrix. This will help in adequate resource allocation for handling critical factors ensuring project success. Researchers may also understand the research trends in the past decade to usher ways for future improvements. This paper reports findings of an original and innovative study, which identifies critical success factors of PPP concession period and synthesizes them into a decision-making matrix. Many of the previous studies have identified and ranked the critical factors but such a synthesis has not been reported.
Publisher: Emerald
Date: 06-06-2016
DOI: 10.1108/IJLSS-11-2015-0045
Abstract: This paper aims at collecting and reviewing the published literature on the Six Sigma in construction along with its critical success factors (CSFs). The research is based on literature review. Based on the keyword and semantic search techniques, papers published on the topic of Six Sigma during 2000-2015 are retrieved. Frequency analysis is performed to find out significance of identified CSFs, and zoning is performed based on the product of frequency of appearance and parties affected by the CSFs. A total of 69 CSFs are identified as published in the literature. Based on an inclusion criterion of minimum 15 appearances, 22 CSFs are shortlisted for further analysis. Of these CSFs, around 32 per cent fall into red zone (most critical), 50 per cent into yellow and 18 per cent into green zone (least critical). This work is limited by partial identification of CSFs. Though based on an extensive search, the retrieved CSFs may not be all the published ones. However, more thorough search techniques can be applied to improve upon this work. The findings can be used to facilitate the decision-making in the context of project success. This work is an original attempt at gathering Six Sigma CSFs applicable to construction projects. It may be used for further research and development to help ensure project quality and success.
Publisher: Elsevier BV
Date: 2016
Publisher: Elsevier BV
Date: 09-2021
Publisher: MDPI AG
Date: 20-10-2022
DOI: 10.3390/BUILDINGS12101752
Abstract: Building information modeling (BIM) through data-rich digital representation has revolutionized the architecture, engineering, and construction (AEC) industry. BIM implementation in the AEC industry has noticeably increased over the last decade. Various BIM roles have been discussed in the literature to ease the process of BIM implementation, but the BIM roles related to project delivery methods have not been standardized. Stimulated by this need, this study develops a BIM roles and responsibilities matrix (BIM-R& R) in the context of the design−bid−build (DBB) projects for developing countries. A comprehensive literature review has been conducted, followed by a questionnaire survey comprising 105 responses. The results were analyzed to formulate a BIM-R& R matrix, on which the expert opinion was obtained from the BIM experts. The proposed BIM-R& R matrix describes all the roles and their corresponding responsibilities required along the project life cycle phases of DBB projects. The incorporation of BIM roles in the DBB procurement process will aid in the efficient management of all information and data that may be lost due to the fragmented nature of DBB. BIM roles with enhanced communication and coordination will also help in reducing time and cost overruns while maintaining a high-quality product. This study helps the associated construction industry in its efforts to implement BIM on their projects by providing a method by which to assess which BIM roles are necessary. Moreover, it will provide project and construction managers with a clear understanding of the BIM roles in DBB projects.
Publisher: Elsevier BV
Date: 05-2021
Publisher: Vilnius Gediminas Technical University
Date: 07-05-2019
Abstract: Cities in Pakistan, because of rapid pace of urbanization, are unable to provide adequate housing supply to cater to the needs of the people. Islamabad, the capital of Pakistan, has a population of two million with a growth rate of six percent. Construction of apartment buildings, as one of the alternatives to fulfil the housing needs, is on the rise. However, apartments are being designed without considering the needs of the residents. This research focuses on assessment of socio-economic profile and satisfaction of residents of single unit houses vis-à-vis of those living in apartments. Fried and Gleicher’s approach was used in this research. This study analysed the socioeconomic characteristics, level of satisfaction of residents drivers and barriers that influence the residential satisfaction of residents in two types of residential units in Islamabad. This study finds that residents of both housing types were equally satisfied with housing attributes and surrounding neighborhood while the residents of single unit houses were more satisfied with facilities, maintenance and culture. This study suggests that more focus should be given to factors like open space, basic amenities, privacy while designing an apartment building.
Publisher: SAGE Publications
Date: 31-05-2019
Abstract: Healthcare buildings are energy and water intensive, which remarkably impacts their sustainability. They also share a larger portion of hazardous and non-hazardous wastes. Leadership in Energy and Environmental Design (LEED) has been rating healthcare buildings under a separate category of Building Design and Construction (BD + C): Healthcare to acknowledge their role and importance. This research investigates the credit points achieved by these buildings using all versions and rating systems of LEED BD + C: Healthcare. The results report a very small number of Platinum-certified buildings as compared to other certification levels. Further, Technique for Order of Preference by Similarity to Ideal Solution is applied on credit points and certification levels according to their rating system, climate and location to reveal that buildings require a lot more effort to raise their certification level from Gold to Platinum as compared to the effort required between Gold, Silver and Certified. Based on this, a new certification level is proposed. Furthermore, buildings located in dry weather and South region of the USA have been shown to achieve better credit points. The findings can help designers in scoring better LEED points, which could help promote the culture of rating systems.
Publisher: Elsevier BV
Date: 2016
Publisher: Springer Science and Business Media LLC
Date: 13-03-2017
Publisher: Elsevier BV
Date: 2016
Publisher: American Society of Civil Engineers (ASCE)
Date: 02-2016
Publisher: Springer Science and Business Media LLC
Date: 08-2017
DOI: 10.1038/S41598-017-06561-W
Abstract: With the capacity limits of standard single-mode optical fiber fast approaching, new technologies such as space- ision multiplexing are required to avoid an Internet capacity crunch. Few-mode multicore fiber (FM-MCF) could allow for a two orders of magnitude increase in capacity by using the in idual spatial modes in the different cores as unique data channels. We report the realization of a monolithic mode-selective few-mode multicore fiber multiplexer capable of addressing the in idual modes of such a fiber. These compact multiplexers operate across the S + C + L telecommunications bands and were inscribed into a photonic chip using ultrafast laser inscription. They allow for the simultaneous multiplexing of the LP 01 , LP 11a and LP 11b modes of all cores in a 3-mode, 4-core fiber with excellent mode extinction ratios and low insertion losses. The devices are scalable to more modes and cores and therefore could represent an enabling technology for practical ultra-high capacity dense space- ision multiplexing.
Publisher: Elsevier BV
Date: 12-2020
Publisher: Emerald
Date: 03-2022
DOI: 10.1108/ECAM-07-2019-0375
Abstract: The construction industry struggles in environmental and economic performance due to waste generation. Several studies have measured this waste in the construction industry of developing countries like India, Brazil, China, Nigeria and Iran, and proposed strategies to enhance the overall efficiency. But no such work exists in Pakistan's context. The construction industry of Pakistan contributes significantly to the country's gross domestic product (GDP). And with several mega projects in progress to overcome the energy crises and improve the infrastructure of the country, the absence of proper waste management policies and plans calls for empirical research. Therefore, this study quantifies and benchmarks material waste in the local context, its impact on project cost and the effect of multiple subcontracting arrangements on waste generation. It also proposes a conceptual waste management plan (WMP) for local conditions which can be generalized for developing countries. This paper uses a mixed research approach by leveraging Saunders's research onion model. To benchmark the current wastage practices, quantitative data of material waste in the Pakistani construction industry are gathered through document review of accounting systems, inventory and payment records of 40 completed building projects. Using the data, the waste rate of different materials is measured along with their impact on cost. Additionally, the role of subcontracting arrangements in waste generation is also investigated. Also, semi-structured interviews are conducted with project managers of high- and low-performing construction organizations to propose a conceptual WMP for the local industry and developing countries. The highest wasteful materials by quantity are wood, sand and concrete blocks, and those by cost are wood, bricks and steel. By quantity, 123% more material was used on average than the actual productive work. Also, the labor only (L-O) subcontracting arrangement causes maximum waste. Moreover, the difference between the highest (155%) and lowest wasting company (104%) is 51%, highlighting the proactive and resistive waste management culture and approach by the worst- and best-performing companies. Further, the impact of waste quantities is more than 2% of the project cost. Finally, a conceptual model consisting of measures at the project, industry and national levels is also proposed as a guide for developing countries. The findings of this benchmarking study can help improve the project planning, execution and monitoring, and control practices by providing a better understanding of the material waste potential. This will help economize the construction industry and improve its sustainability. This is the first benchmarking study that quantitatively measures material waste in the construction industry of Pakistan. It highlights that costly as well as sustainability-implicating materials are frequently wasted in the local construction projects. Also, this study correlates the wastage with subcontracting arrangements. Additionally, an original conceptual WMP is proposed that could help the industry improve its performance. The findings could help the construction professionals identify the loopholes in their material management practices and not only save money but also ensure better sustainability.
Publisher: No publisher found
Date: 2017
Publisher: MDPI AG
Date: 06-04-2022
DOI: 10.3390/SU14074331
Abstract: Risk management is an ever-growing domain of research that is constantly evolving with the development of new and advanced technologies and processes, along with today’s increasing concern for sustainability [...]
Publisher: American Society of Civil Engineers (ASCE)
Date: 05-2021
Publisher: Springer Science and Business Media LLC
Date: 19-11-2021
Publisher: MDPI AG
Date: 15-07-2021
DOI: 10.3390/SU13147925
Abstract: Rapid advances that improve flood management have facilitated the disaster response by providing first aid services, finding safe routes, maintaining communication and developing flood maps. Different technologies such as image processing, satellite imagery, synthetic imagery and integrated approaches have been extensively analysed in the literature for disaster operations. There is a need to review cutting-edge technologies for flood management. This paper presents a review of the latest advancements in the flood management domain based on image processing, artificial intelligence and integrated approaches with a focus on post-disaster. It answers the following research questions: (1) What are the latest developments in image processing for flood management in a post-disaster scenario? (2) What are the latest techniques for flood management based on artificial intelligence in a post-disaster scenario? (3) What are the existing gaps in the selected technologies for post-disaster? (4) How can the authorities improve the existing post-disaster management operation with cutting-edge technologies? A novel framework has been proposed to optimise flood management with the application of a holistic approach.
Publisher: Elsevier BV
Date: 12-2019
Publisher: Kashiwagi Solution Model Inc.
Date: 06-2016
Abstract: This research attempts to facilitate client needs by describing the priority indicators that could help in decision making for awarding contracts. The indictors are recognized as key variables that impact the subsequent decisions of contracts award. The authors present a hierarchical review of relevant literature and integrate the factors that help in decision making using the Best Value Approach. This framework is comprised of eight dimensions of Best Value contributing factors – cost, risk, performance, quality control, health and safety, project control, current workload and delay claims. These eight dimensions aid the in idual clients and organizations in selecting the most suitable contractor. The authors provide a brief understanding of Best Value contract strategy and the basis for the contract award in terms of business choice, managerial capacity and competency. This paper aims to provide a philosophy as to how Best Value decision making could be influenced by the ranking of contributing factors. This work also help in decision making by providing a hierarchical arrangement of the influential factors and the corresponding criteria for Best Value contract award.
Publisher: MDPI AG
Date: 14-12-2021
DOI: 10.3390/ARCHITECTURE1020012
Abstract: Sustainable supply chain management (SSCM) involves the managing of information, materials, cash flows, and collaboration among enterprises along the supply chain, integrating sustainable development goals. This research paper aims to determine challenges in SSCM adoption and to address related complexity using the system dynamics (SD) approach utilizing modeling and simulation techniques. This research identified challenges from the literature using content analysis. Causality among these identified challenges was determined using interviews and questionnaire surveys that led to the development of a causal loop diagram (CLD), which was used in the development of the SD model. Among the 19 shortlisted variables, CLD had IV reinforcing and II balancing loops. Moreover, CLD was used to build an SD model with two stocks, and a new stock named ‘project performance’ was added to envisage the cumulative impact of all stocks. The model was simulated for five years, and the results predict that the lack of top management commitment and corporate social responsibility adversely affects project performance. This implies that there is a need to improve numerous factors, in particular corporate social responsibility and top management commitment, which would lead to the adoption of SSCM, thus leading to a performance improvement for the construction industry (CI). The model was validated using boundary adequacy, structure, and parametric verification tests, which showed that the developed model is logical and approximately replicates the industry’s actual system. The research findings will help the CI practitioners to adopt sustainability principles in terms of the supply chain and will not only enhance productivity and performance but will also help in the minimization of delays, promote long-term relations, and reduce communication gaps and project complexities.
No related grants have been discovered for Muhammad Jamaluddin Thaheem.