ORCID Profile
0000-0003-3200-7728
Current Organisations
European Southern Observatory
,
UNSW Sydney
,
University of New South Wales
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Publisher: MDPI
Date: 25-02-2022
Publisher: Elsevier BV
Date: 03-2021
Publisher: IGI Global
Date: 2008
DOI: 10.4018/978-1-59904-838-3.CH011
Abstract: Particularly in the last decade, there have been a number of efforts to develop and then integrate planning support systems into existing geographic information systems. This integration brought a new technology called WebGIS, which enables geographic information systems functionalities through the Internet for decision support. No doubt there is a growing demand as more and more in iduals want to use online government services to express their views and most importantly to take part in decisionmaking processes interactively. At this point, WebGIS offers a challenging opportunity for online participatory planning since the public could easily access alternative plans and the existing information in geographic information systems databases. This technology enables in iduals to be able to take part in plan-making processes and contribute. This chapter explores how these new technological advances could achieve truly transparent plan-making process based on online participatory planning support tools that knowledge-based urban development could benefit from.
Publisher: Elsevier BV
Date: 03-2018
Publisher: Elsevier BV
Date: 09-2019
Publisher: Elsevier BV
Date: 2017
Publisher: Australian Population Studies
Date: 16-11-2020
DOI: 10.37970/APS.V4I2.68
Abstract: Background China is the second largest source country of immigrants to Australia every year. The elderly parents of these working-age immigrants in Australia usually visit their children on a tourist visa, which allows short term family gatherings. These visits do not require much effort. However, when it comes to long-term transnational migration, the decision becomes hard to make and often involves complex factors, such as personal preferences and lifestyle choices. Aims This paper aims to examine the later-life transnational migration intentions of elderly Chinese parents and how the parents’ intentions are affected by personal preferences, personality and lifestyle differences between the generations. Data and methods This paper uses data from a two-stage study including an online survey and semi-structured interviews conducted in Sydney from October 2018 to May 2019 with both caregivers (adult children who are first-generation immigrants living in Australia) and their elderly parents. Results The study found that external contributors such as language barriers and transport dependence in Australia, and existing social ties as well as another adult child living in China, have a negative influence on moving to Australia. Conclusions Elderly parents with an optimistic and outgoing personality are more likely to consider moving to Australia compared to those who are more conservative. Foremost, conflicts due to different lifestyles between the generations reduces the possibility of parents’ later-life migration to Australia.
Publisher: MDPI AG
Date: 21-08-2021
DOI: 10.3390/BUILDINGS11080374
Abstract: Mixed-use development is increasingly popular in land use planning and zoning, fostering a combination of residential, commercial, and cultural uses into one space. However, there is a lack of understanding of the vertical mix office space within a high-rise commercial building and the dynamics of the industry mix between buildings. This paper examines the spatiotemporal patterns of industry mix between and within office buildings in Sydney CBD from 2006 to 2017, using the data obtained from the City of Sydney floor space and employment surveys. This is the first study that identifies the dynamics of an industrial ecosystem in central Sydney, which has transformed to homophily land blocks, with increasing vertically heterogeneous office buildings, over the past decade. In addition, the study found that the significant clustering of anchor tenants, such as finances, hospitalities, and knowledge-based industries, are apparent.
Publisher: IGI Global
Date: 2008
DOI: 10.4018/978-1-59904-720-1.CH009
Abstract: The rapid development of information and communication technologies had a significant effect on contemporary urban and regional planning. Ever since Mitchell (1999) envisaged a vision of ‘E-topia’, a development of robust delivery system for the digital network into knowledge-based urban development has been rigorously challenged. Information and communication technologies are evolving cities from virtual city, which reproduces urban elements inside the virtual computer world, to ubiquitous city, where the ubiquitous computing amongst urban elements such as people, buildings, infrastructure and urban space is available. Nevertheless a strategic ubiquitous city planning is yet to be addressed in an integrated manner by planners and regional analysts because the technologies and applications still need to be fully developed. The Republic of Korea has recently had some experience in developing the ubiquitous city concept and planning principals as a means of knowledge-based urban development. This chapter introduces key ubiquitous technologies, and discusses implications of the ubiquitous city concept into planning and design schemes for knowledge-based urban development in the Republic of Korea.
Publisher: SAGE Publications
Date: 18-05-2020
Abstract: In the digital era of big data, data analytics and smart cities, a new generation of planning support systems is emerging. The Rapid Analytics Interactive Scenario Explorer is a novel planning support system developed to help planners and policy-makers determine the likely land value uplift associated with the provision of new city infrastructure. The Rapid Analytics Interactive Scenario Explorer toolkit was developed following a user-centred research approach including iterative design, prototyping and evaluation. Tool development was informed by user inputs obtained through a series of co-design workshops with two end-user groups: land valuers and urban planners. The paper outlines the underlying technical architecture of the toolkit, which has the ability to perform rapid calculations and visualise the results, for the end-users, through an online mapping interface. The toolkit incorporates an ensemble of hedonic pricing models to calculate and visualise value uplift and so enable the user to explore what if? scenarios. The toolkit has been validated through an iterative case study approach. Use cases were related to two policy areas: property and land valuation processes (for land taxation purposes) and value uplift scenarios (for value capture purposes). The cases tested were in Western Sydney, Australia. The paper reports on the results of the ordinary least square linear regressions – used to explore the impacts of hedonic attributes on property value at the global level – and geographically weighted regressions – developed to provide local estimates and explore the varying spatial relationships between attributes and house price across the study area. Building upon the hedonic modelling, the paper also reports the value uplift functionality of the Rapid Analytics Interactive Scenario Explorer toolkit that enables users to drag and drop new train stations and rapidly calculate expected property prices under a range of future transport scenarios. The Rapid Analytics Interactive Scenario Explorer toolkit is believed to be the first of its kind to provide this specific functionality. As it is problem and policy specific, it can be considered an ex le of the next generation of data-driven planning support system.
Publisher: Springer International Publishing
Date: 2019
Publisher: MDPI AG
Date: 23-07-2019
DOI: 10.3390/EN12142840
Abstract: This study examined the personal characteristics and preferences of in iduals that encourage interactions with smart media displays (media façades). Specifically, it aimed to determine which key aspects of a smart display “media façade” enhance intuitive interactions. A range of smart display technologies and their effects on interaction decisions were considered. Data were drawn from a survey of 200 randomly s led residents and/or visitors to a smart building, One Central Park, in Sydney, Australia. A binomial logistic regression analysis was undertaken to establish links between a range of design, perceptions and socio-demographic variables and in iduals’ decisions to interact with a smart media display. The results showed that the aesthetics of an installation, the quality of an installation’s content and the safety of the operation-friendly environment significantly affected respondents’ decisions to interact with the media display. Interestingly, respondents born overseas were more likely to interact with a smart display than those born in Australia. Respondents who expressed a preference for photograph-based interactions were also more likely to interact with the display. Somewhat surprisingly, age, residency and levels of familiarity with digital technology did not significantly affect respondents’ decisions to interact with the display.
Publisher: Springer Science and Business Media LLC
Date: 27-02-2023
DOI: 10.1007/S00168-023-01212-7
Abstract: Geographic location and neighbourhood attributes are major contributors to residential property values. Automated valuation models (AVM) often use hedonic pricing with location and neighbourhood attributes in the form of numeric and categorical variables. This paper proposed a novel approach to automated property valuation using a machine learning model with a convolutional neural network (CNN), fully connected neural network layers with numeric and categorical variables. In this study we compare the results of a fused model, which treat geographical data as an input with the performance of the baseline neural network model with only numerically or categorically represented data. Furthermore, the residential valuation by the proposed fused model was tested with actual sold price data in Greater Sydney, Australia. The study found that the fused model produced valuations with a significantly lower mean absolute percentage error (MAPE) (8.71%) than the MAPE of the baseline model (11.59%). The results show that the fused model with CNN significantly improves the accuracy for residential valuation, reducing spatial information loss by data manipulation and distance calibration.
Publisher: Informa UK Limited
Date: 12-04-2017
Publisher: Springer Singapore
Date: 05-11-2018
Publisher: Springer Singapore
Date: 05-11-2018
Publisher: Elsevier BV
Date: 2017
Publisher: MDPI AG
Date: 03-09-2021
DOI: 10.3390/SU13179917
Abstract: This paper examines the changing industrial ecosystem of smart cities in Korea using both input–output and structural path analysis from 1960 to 2015. The industry type of the input–output tables used in the Bank of Korea was reclassified into nine categories: Agriculture and Mining, Traditional Manufacturing, IT Manufacturing, Construction, Energy, IT Services, Knowledge Services, Traditional Services and other unclassified. The paper identified the changing patterns of an industrial ecosystem of smart cities in Korea. The study found that smart industries such as smart buildings and smart vehicles are anchor industries in Korean smart cities, and they are positively correlated with three other industries: IT Manufacturing, IT Services and Knowledge Services. The results of the input–output and structural path analysis show that the conventional industrial structure of labor-intensive manufacturing and diesel and petroleum cars has been transformed to the emerging high-tech industries and services in smart cities. Smart industries such as IT Manufacturing, IT Services and Knowledge Services have led to sustainable national economic growth, with greater value-added than other industries. The underlying demand for smart industries in Korea is rapidly growing, suggesting that other industries will seek further informatization, automatization and smartification. Consequently, smart industries are emerging as anchor industries which create value chains of new industries, serving as accelerators or incubators, for the development of other industries.
Publisher: Elsevier BV
Date: 09-2016
Publisher: Springer Singapore
Date: 05-11-2018
Publisher: Springer Singapore
Date: 05-11-2018
Publisher: Elsevier BV
Date: 04-2016
Publisher: Springer Singapore
Date: 05-11-2018
Publisher: Springer Singapore
Date: 05-11-2018
Publisher: Informa UK Limited
Date: 07-03-2017
Publisher: Elsevier BV
Date: 2014
Publisher: Elsevier BV
Date: 03-2017
Publisher: Oxford University Press (OUP)
Date: 16-05-2020
Abstract: We present a study of the stellar host galaxy, CO (1–0) molecular gas distribution and AGN emission on 50–500 pc-scales of the gravitationally lensed dust-obscured AGN MG J0751+2716 and JVAS B1938+666 at redshifts 3.200 and 2.059, respectively. By correcting for the lensing distortion using a grid-based lens modelling technique, we spatially locate the different emitting regions in the source plane for the first time. Both AGN host galaxies have 300–500 pc-scale size and surface brightness consistent with a bulge seudo-bulge, and 2 kpc-scale AGN radio jets that are embedded in extended molecular gas reservoirs that are 5–20 kpc in size. The CO (1–0) velocity fields show structures possibly associated with discs (elongated velocity gradients) and interacting objects (off-axis velocity components). There is evidence for a decrement in the CO (1–0) surface brightness at the location of the host galaxy, which may indicate radiative feedback from the AGN, or offset star formation. We find CO–H2 conversion factors of around αCO = 1.5 ± 0.5 (K km s−1 pc2)−1, molecular gas masses of & × 1010 M⊙, dynamical masses of ∼1011 M⊙, and gas fractions of around 60 per cent. The intrinsic CO line luminosities are comparable to those of unobscured AGN and dusty star-forming galaxies at similar redshifts, but the infrared luminosities are lower, suggesting that the targets are less efficient at forming stars. Therefore, they may belong to the AGN feedback phase predicted by galaxy formation models, because they are not efficiently forming stars considering their large amount of molecular gas.
Publisher: Informa UK Limited
Date: 05-03-2014
Publisher: IGI Global
Date: 2013
DOI: 10.4018/978-1-4666-2770-3.CH040
Abstract: This chapter investigates the challenges and opportunities associated with planning for a competitive city. The chapter is based on the assumption that a healthy city is a fundamental prerequisite for a competitive city. Thus, it is critical to examine the local determinants of health and factor these into any planning efforts. The main focus of the chapter is on e-health planning by utilising Web-based geographic decision support systems. The proposed novel decision support system would provide a powerful and effective platform for stakeholders to access essential data for decision-making purposes. The chapter also highlights the need for a comprehensive information framework to guide the process of planning for healthy cities. Additionally, it discusses the prospects and constraints of such an approach. In summary, this chapter outlines the potential insights of using an information science-based framework and suggests practical planning methods as part of a broader e-health approach for improving the health characteristics of competitive cities.
Publisher: CSIRO Publishing
Date: 2010
DOI: 10.1071/AH09774
Publisher: SAGE Publications
Date: 08-2006
DOI: 10.1080/00420980600831759
Abstract: New national and international economic and social forces have reshaped national geographies in general and the characteristics of cities in particular, resulting in a range of erse social and spatial outcomes. These outcomes, which include greater differentiation across, within and between cities has become a feature of the economic and social forces associated with post-Fordist social structures. Taking localities across Australia's metropolitan regions, this paper develops a typology of advantage and disadvantage using a model-based approach with clustering of data represented by a parameterised Gaussian mixture model and confidence intervals of the means providing a measure of differences between the clusters. The analysis finds seven clusters of localities that represent different aspects of the socio-spatial structure of the metropolitan regions studied.
Publisher: Inderscience Publishers
Date: 2018
Publisher: IGI Global
Date: 2011
DOI: 10.4018/978-1-60960-051-8.CH006
Abstract: Efficient and effective urban management systems for Ubiquitous Eco Cities require having intelligent and integrated management mechanisms. This integration includes bringing together economic, socio-cultural and urban development with a well orchestrated, transparent and open decision-making system and necessary infrastructure and technologies. In Ubiquitous Eco Cities telecommunication technologies play an important role in monitoring and managing activities via wired and wireless networks. Particularly, technology convergence creates new ways in which information and telecommunication technologies are used and formed the backbone of urban management. The 21st Century is an era where information has converged, in which people are able to access a variety of services, including internet and location based services, through multi-functional devices and provides new opportunities in the management of Ubiquitous Eco Cities. This chapter discusses developments in telecommunication infrastructure and trends in convergence technologies and their implications on the management of Ubiquitous Eco Cities.
Publisher: Wiley
Date: 06-2007
Publisher: SAGE Publications
Date: 06-2010
DOI: 10.1177/183335831003900205
Abstract: Despite recent public attention to e-health as a solution to rising healthcare costs and an ageing population, there have been relatively few studies examining the geographical pattern of e-health usage. This paper argues for an equitable approach to e-health and attention to the way in which e-health initiatives can produce locational health inequalities, particularly in socioeconomically disadvantaged areas. In this paper, we use a case study to demonstrate geographical variation in Internet accessibility, Internet status and prevalence of chronic diseases within a small district. There are significant disparities in access to health information within socioeconomically disadvantaged areas. The most vulnerable people in these areas are likely to have limited availability of, or access to Internet healthcare resources. They are also more likely to have complex chronic diseases and, therefore, be in greatest need of these resources. This case study demonstrates the importance of an equitable approach to e-health information technologies and telecommunications infrastructure.
Publisher: Springer Nature Singapore
Date: 27-09-2020
Publisher: MDPI AG
Date: 29-11-2019
DOI: 10.3390/EN12234554
Abstract: Environmental externalities of the Anthropocene—mainly generated from population growth, rapid urbanization, high private motor vehicle dependency, the deregulated market, mass livestock production, and excessive consumerism—have placed serious concerns for the future of natural ecosystems, which we are a part of. For instance, global climate change—the biggest challenge we have ever faced—is directly impacting wellbeing, and even the existence of humankind, in the long run. During the last two decades, the notion of the smart city—particularly the sustainable development of smart cities—has become a popular topic not only for scholars, particularly in the fields of technology, science, urban and environmental planning, development, and management, but also for urban policymakers and professional practitioners. This was due to digital technologies becoming a powerful enabler in stimulating paradigmatic shifts in urban development-related visions, strategies, implementation, and learning. This paper offers a critical review of the key literature on the issues relating to approaches, advances, and applications in the sustainable development of smart cities. It also introduces contributions from the Special Issue, and speculates on the prospective research directions to place necessary mechanisms to secure a smart and sustainable urban future for all.
Publisher: IGI Global
Date: 2015
DOI: 10.4018/978-1-4666-8205-4.CH019
Abstract: This chapter briefly describes the proliferation of CCTV over the last few decades with particular reference to Australia and discusses the limits of the technology. It then focuses on new image interpretation and signal processing technologies, and how these advanced technologies are extending the reach, power, and capabilities of CCTV technology. The advent of “Smart” CCTV has the ability to recognize different human behaviours. This chapter proposes a typology to assist the application and study of Smart CCTV in urban spaces. The following four typologies describe different human behaviours in urban space: 1) Human-Space Interaction, 2) Human-Social Interactions, 3) Human-Object Interactions, and 4) Crowd Dynamics and Flows. The chapter concludes with a call for future research on the legal implications of such technology and the need for an evidence base of risk behaviours for different urban situations and cultures.
Publisher: Informa UK Limited
Date: 03-04-2017
Publisher: International Community of Spatial Planning and Sustainable Development
Date: 15-04-2021
Publisher: Springer Nature Singapore
Date: 2020
Publisher: Emerald
Date: 15-04-2019
Abstract: Professionals’ market knowledge and business experience can facilitate transactions of residential property potentially impacted by stigmatised installations, such as large-scale public infrastructure. The purpose of this paper is to explore perceptions and assessments among homeowners, valuers (appraisers) and real estate agents (realtors) regarding infrastructure in general and high voltage overhead transmission lines (HVOTLs) in particular. Informed by a literature review, separate surveys in Queensland, Australia, analyse via non-parametric and parametric means informational and perceptual variables concerning HVOTLs among 600 homeowners, 90 valuers and 90 real estate agents. The findings reveal statistically significant differences in risk and valuation perceptions of homeowners, valuers and real estate agents relating to the placement of major linear forms of infrastructure. This study adds to a now-solid body of literature pertaining to property effects of HVOTLs. It extends the analysis among classes of real estate professionals and provides new comparisons for further analysis and commentary. The results speak to property professionals, land use planning and electricity authorities. Prior research can be triangulated with that obtained here from valuers and real estate agents who act as informants, gatekeepers and confidants in the market place. Various hypotheses address specific points of professional practice. This study shows that property professionals’ disposition to HVOTLs and other large-scale infrastructure is likely to be a good deal more measured than that of homeowners, so that valuers and real estate agents might exercise a mediating influence in placement and installations decisions. This research raises understanding of differences in market knowledge and perception of essential infrastructure among clients and property agents. As a point of difference, it concentrates on examining empirically what texts refer to as “information asymmetry” in residential real estate markets.
Publisher: SAGE Publications
Date: 20-11-2019
Abstract: Hedonic estimations of the effect of transport infrastructure on property prices vary widely. This high variability demonstrates a deficit in our understanding of these relationships, limits the utility of econometrics for the valuation of urban property markets, and limits the development and implementation of effective and fair market-based policy tools. Several avenues may lead to improved consistency: re-consideration of accessibility, inclusion of urban design characteristics, assessment of spatial dependence and spatial heterogeneity, and consideration of geographic scale. This paper outlines the rationale and opportunities for inclusion of, and presents empirical tests for, these assertions using a case study in western Sydney, Australia. Results show a number of urban design characteristics to be significant determinants of residential property price. Street connectivity and higher density in areas surrounding residences negatively impact price, higher density close to train stations positively impacted price in one model. Park-and-ride stations led to decreases in property values. Smaller study area results indicate a nonlinear relationship between distance to train station and property price and a disamenity impact for residences within 400 m of train stations. Relative accessibility measured as frequency of peak hour trains is a significant and positive determinant of price in the larger study area. Incorporation of a price trend surface and estimation using a spatial error model reduce the extent to which spatial autocorrelation overstates the effect of a train station on prices. These conceptual and empirical improvements further develop our understanding of the effect of transport infrastructure on property values.
Publisher: Wiley
Date: 02-09-2022
Abstract: Human mobility triggers how fast and where infectious diseases spread and modelling community flows helps assess the impact of social distancing policies and advance our understanding of community behaviour in such circumstances. This study investigated the relationship between human mobility and the surging incidence of COVID‐19 in India. We performed a generalised estimating equation with a Poisson log‐linear model to analyse the daily mobility rate and new cases of COVID‐19 between 14 March and 11 September 2020. We found that mobility to grocery and retail locations was significantly associated ( p 0.01) with the incidence of COVID‐19, these being crowded and unorganised in most parts of India. In contrast, visits to parks, workplaces, and transit stations did not considerably affect the changing COVID‐19 cases over time. In particular, workplaces equipped with social distancing protocols or low‐density open spaces are much less susceptible to the spread of the virus. These findings suggest that human mobility data, geographic information, and health geography modelling have significant potential to inform strategic decision‐making during pandemics because they provide actionable knowledge of when and where communities might be exposed to the disease.
Publisher: International Information and Engineering Technology Association
Date: 02-2018
Publisher: Informa UK Limited
Date: 16-10-2016
Publisher: Springer Science and Business Media LLC
Date: 26-08-2014
Publisher: Springer Science and Business Media LLC
Date: 08-02-2023
DOI: 10.1007/S12469-022-00319-Y
Abstract: This paper proposes a new approach to solve the problem of bus network design and frequency setting (BNDFS). Transit network design must satisfy the needs of both service users and transit operators. Numerous optimisation techniques have been proposed for BNDFS in the literature. Previous approaches tend to adopt a sequential optimisation strategy that conducts network routing and service frequency setting in two separate steps. To address the limitation of sequential optimisation, our new algorithm uses Reinforcement Learning for a simultaneous optimisation of three key components of BNDFS: the number of bus routes, the route design and service frequencies. The algorithm can design the best set of bus routes without defining the total number of bus routes in advance, which can reduce the overall computational time. The proposed algorithm was tested on the benchmark Mandl Swiss network. The algorithm is further extended to the routing of express services. The validation includes additional test scenarios which modify the transit demand level on the Mandl network. The new algorithm can be useful to assist transit agencies and planners in improving existing routing and service frequency to cope with changing demand conditions.
Publisher: Informa UK Limited
Date: 03-2009
Publisher: Emerald
Date: 18-11-2019
DOI: 10.1108/SASBE-04-2019-0056
Abstract: The Smart Cities Mission (SCM) in India is generating significant interest among researchers and policymakers globally. Cities under the SCM, irrespective of their locations, size, capacities or local needs, are heavily investing in technological solutions to improve civic conditions. The purpose of this paper is to build a typology and urban classification system of these 100 smart cities using a series of key performance indicators (KPIs) around urban development and access to public services. The paper also systematically recognises the ersity of challenges facing these cities and assess whether a generic technology-based approach is adequate to address them. A two-stage statistical process is employed in this typology building exercise – first, a cluster analysis is conducted to classify the selected cities, then a multiple discriminant analysis is used to characterise each classified city. The urban typology analysis finds that vast disparities remain across India’s urban centres, located in different geographical regions, in terms of access to social capital and physical infrastructure. The KPIs around education, health and social services emerged from the analysis as the most significant drivers in the urban typology building process. The lack of basic community infrastructure, especially in the small-to-medium-sized cities in India, exposes the shortcomings of a one-size-fits-all technocratic smart city development strategy that assumes foundational infrastructure is already in place for technology to take effect. The research methodologies developed in this paper offers a novel planning approach for smart city policymakers to devise place-based smart city interventions, acknowledging erse cultures and specific community needs.
Publisher: Springer Singapore
Date: 05-11-2018
Publisher: Springer Singapore
Date: 05-11-2018
Publisher: Inderscience Publishers
Date: 2013
Publisher: Informa UK Limited
Date: 04-10-2020
Publisher: Elsevier BV
Date: 09-2019
Publisher: Informa UK Limited
Date: 03-07-2022
Publisher: Elsevier BV
Date: 11-2019
Publisher: Wiley
Date: 12-2005
Publisher: Informa UK Limited
Date: 02-08-2016
Publisher: Informa UK Limited
Date: 15-06-2022
Publisher: Springer Science and Business Media LLC
Date: 11-2016
Publisher: Elsevier BV
Date: 06-2013
Publisher: MDPI AG
Date: 07-08-2020
DOI: 10.3390/S20164418
Abstract: This study explores the relationship between the spatial distribution of relative transfer location (i.e., the location of the transfer point in relation to the trip origin and destination points) and the attractiveness of the transit service using smart card data. Transfer is an essential component of the transit trip that allows people to reach more destinations, but it is also the main factor that deters the smartness of the public transit. The literature quantifies the inconvenience of transfer in terms of extra travel time or cost incurred during transfer. Unlike this conventional approach, the new “transfer location” variable is formulated by mapping the spatial distribution of relative transfer locations on a homogeneous geocoordinate system. The clustering of transfer points is then quantified using grid-based hierarchical clustering. The transfer location factor is formulated as a new explanatory variable for mode choice modelling. This new variable is found to be statistically significant, and no correlation is observed with other explanatory variables, including transit travel time. These results imply that smart transit users may perceive the travel direction (to transfer) as important, in addition to the travel time factor, which would influence their mode choice. Travellers may disfavour even adjacent transfer locations depending on their relative location. The findings of this study will contribute to improving the understanding of transit user behaviour and impact of the smartness of transfer, assist smart transport planning and designing of new transit routes and services to enhance the transfer performance.
Publisher: Informa UK Limited
Date: 26-05-2015
Publisher: Elsevier BV
Date: 12-2022
Publisher: Cold Spring Harbor Laboratory
Date: 22-12-2020
DOI: 10.1101/2020.12.21.20248523
Abstract: Human mobility plays a crucial role in determining how fast and where infectious diseases can spread. This study aims to investigate visit to which category of places among grocery, retail, parks, workplaces, residential, and transit stations is more associated with the incidence of COVID-19 in India. A longitudinal analysis of generalized estimating equation (GEE) with a Poisson log-linear model is employed to analyze the daily mobility rate and reported new cases of COVID-19 between March 14 and September 11, 2020. This study finds that mobility to places of grocery (food and vegetable markets, drug stores etc.) and retail (restaurants, cafes, shopping centres etc.) is significantly associated (at p .01) with the incidence of COVID-19. In contrast, visits to parks, transit stations and mobility within residential neighbourhoods are not statistically significant (p .05) in changing COVID-19 cases over time. These findings highlight that instead of blanket lockdown restrictions, authorities should adopt a place-based approach focusing on vulnerable hotspot locations to contain the COVID-19 and any future infectious disease.
Publisher: Springer Singapore
Date: 2019
No related grants have been discovered for Hoon Han.