The Experts below are selected from a list of 93576 Experts worldwide ranked by ideXlab platform
Wanbing Zhang - One of the best experts on this subject based on the ideXlab platform.
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Spatial-Temporal Potential Exposure Risk Analytics and Urban Sustainability Impacts related to COVID-19 Mitigation: A Perspective from Car Mobility Behaviour.
Journal of cleaner production, 2020Co-Authors: Peng Jiang, Yee Van Fan, Jiří Jaromír Klemeš, Piao Chen, Wanbing ZhangAbstract:Abstract Coronavirus disease-2019 (COVID-19) poses a significant threat to the population and Urban Sustainability worldwide. The surge mitigation is complicated and associates many factors, including the pandemic status, policy, socioeconomics and resident behaviours. Modelling and analytics with spatial-temporal big Urban data are required to assist the mitigation of the pandemic. This study proposes a novel perspective to analyse the spatial-temporal potential exposure risk of residents by capturing human behaviours based on spatial-temporal car park availability data. Near real-time data from 1,904 residential car parks in Singapore, a classical megacity, are collected to analyse car mobility and its spatial-temporal heat map. The implementation of the circuit breaker, a COVID-19 measure, in Singapore has reduced the mobility and heat (daily frequency of mobility) significantly at about 30.0 %. It contributes to a 44.3 % to 55.4 % reduction in the transportation-related air emissions under two scenarios of travelling distance reductions. Urban Sustainability impacts in both environment and economy are discussed. The spatial-temporal potential exposure risk mapping with space-time interactions is further investigated via an extended Bayesian spatial-temporal regression model. The maximal reduction rate of the defined potential exposure risk lowers to 37.6 % by comparison with its peak value. The big data analytics of changes in car mobility behaviour and the resultant potential exposure risks can provide insights to assist in (a) designing a flexible circuit breaker exit strategy, (b) precise management via identifying and tracing hotspots on the mobility heat map, and (c) making timely decisions by fitting curves dynamically in different phases of COVID-19 mitigation. The proposed method has the potential to be used by decision-makers worldwide with available data to make flexible regulations and planning.
Tan Yigitcanlar - One of the best experts on this subject based on the ideXlab platform.
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towards prosperous sustainable cities a multiscalar Urban Sustainability assessment approach
Science & Engineering Faculty, 2015Co-Authors: Tan Yigitcanlar, Fatih Dur, Didem DizdarogluAbstract:Prosperity and environmental Sustainability of cities are inextricably linked. Cities can only maintain their prosperity when environmental and social objectives are fully integrated with economic goals for the purpose of a sustainable Urban development. Sustainability assessment helps policy-makers decide what actions they should and should not take in an attempt to make our cities more sustainable. There are numerous models available for measuring and evaluating Urban Sustainability, and they focus their analysis on a specific scale—i.e., micro, mezzo, or macro. In most cases these results are inadequate for the other scales, though generating reliable results for that particular scale. The paper introduces a multiscalar Urban Sustainability approach by linking two Sustainability assessment models evaluate Sustainability performances in micro- and mezzo-levels and generate multiscalar results for the macro-level. The paper puts this approach into test in Gold Coast, Australia, and sheds light on the development of a more accurate Sustainability analysis that may be interconnected with UN-Habitat’s City Prosperity Index.
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towards prosperous sustainable cities a multiscalar Urban Sustainability assessment approach
Habitat International, 2015Co-Authors: Tan Yigitcanlar, Fatih Dur, Didem DizdarogluAbstract:Abstract Prosperity and environmental Sustainability of cities are inextricably linked. Cities can only maintain their prosperity when environmental and social objectives are fully integrated with economic goals. Sustainability assessment helps policy-makers decide what actions they should and should not take to make our cities more sustainable. There are numerous models available for measuring and evaluating Urban Sustainability; they focus their analysis on a specific scale—i.e., micro, mezzo, or macro. In most cases, these results are inadequate for the other scales, though generating reliable results for that particular scale. The paper introduces a multiscalar Urban Sustainability approach by linking two Sustainability assessment models evaluate Sustainability performances in micro- and mezzo-levels and generate multiscalar results for the macro-level. The paper tests this approach in Gold Coast, Australia, and sheds light on the development of a more accurate Sustainability analysis that may be interconnected with UN-Habitat's City Prosperity Index.
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developing a Sustainability assessment model the sustainable infrastructure land use environment and transport model
Sustainability, 2010Co-Authors: Tan YigitcanlarAbstract:Measuring the comparative Sustainability levels of cities, regions, institutions and projects is an essential procedure in creating sustainable Urban futures. This paper introduces a new Urban Sustainability assessment model: “The Sustainable Infrastructure, Land-use, Environment and Transport Model (SILENT)”. The SILENT Model is an advanced geographic information system and indicator-based comparative Urban Sustainability indexing model. The model aims to assist planners and policy makers in their daily tasks in sustainable Urban planning and development by providing an integrated Sustainability assessment framework. The paper gives an overview of the conceptual framework and components of the model and discusses the theoretical constructs, methodological procedures, and future development of this promising Urban Sustainability assessment model.
Peng Jiang - One of the best experts on this subject based on the ideXlab platform.
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Spatial-Temporal Potential Exposure Risk Analytics and Urban Sustainability Impacts related to COVID-19 Mitigation: A Perspective from Car Mobility Behaviour.
Journal of cleaner production, 2020Co-Authors: Peng Jiang, Yee Van Fan, Jiří Jaromír Klemeš, Piao Chen, Wanbing ZhangAbstract:Abstract Coronavirus disease-2019 (COVID-19) poses a significant threat to the population and Urban Sustainability worldwide. The surge mitigation is complicated and associates many factors, including the pandemic status, policy, socioeconomics and resident behaviours. Modelling and analytics with spatial-temporal big Urban data are required to assist the mitigation of the pandemic. This study proposes a novel perspective to analyse the spatial-temporal potential exposure risk of residents by capturing human behaviours based on spatial-temporal car park availability data. Near real-time data from 1,904 residential car parks in Singapore, a classical megacity, are collected to analyse car mobility and its spatial-temporal heat map. The implementation of the circuit breaker, a COVID-19 measure, in Singapore has reduced the mobility and heat (daily frequency of mobility) significantly at about 30.0 %. It contributes to a 44.3 % to 55.4 % reduction in the transportation-related air emissions under two scenarios of travelling distance reductions. Urban Sustainability impacts in both environment and economy are discussed. The spatial-temporal potential exposure risk mapping with space-time interactions is further investigated via an extended Bayesian spatial-temporal regression model. The maximal reduction rate of the defined potential exposure risk lowers to 37.6 % by comparison with its peak value. The big data analytics of changes in car mobility behaviour and the resultant potential exposure risks can provide insights to assist in (a) designing a flexible circuit breaker exit strategy, (b) precise management via identifying and tracing hotspots on the mobility heat map, and (c) making timely decisions by fitting curves dynamically in different phases of COVID-19 mitigation. The proposed method has the potential to be used by decision-makers worldwide with available data to make flexible regulations and planning.
Marieclaire Ten Veldhuis - One of the best experts on this subject based on the ideXlab platform.
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integrative technology hubs for Urban food energy water nexuses and cost benefit risk tradeoffs i global trend and technology metrics
Critical Reviews in Environmental Science and Technology, 2021Co-Authors: Nibin Chang, Uzzal Hossain, Andrea Valencia, Jiangxiao Qiu, Qipeng P Zheng, Mengnan Chen, Ana Pires, C Kaandorp, Edo Abraham, Marieclaire Ten VeldhuisAbstract:The Food-Energy-Water (FEW) nexus for Urban Sustainability needs to be analyzed via an integrative rather than a sectoral or silo approach, reflecting the ongoing transition from separate infrastru...
Pushplata Garg - One of the best experts on this subject based on the ideXlab platform.
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Urban Sustainability assessment tools a review
Journal of Cleaner Production, 2019Co-Authors: Harsimran Kaur, Pushplata GargAbstract:Abstract This paper presents a comprehensive review of literature on most widely used Urban Sustainability assessment tools. The aim of this paper is to understand the similarities and differences in existing Urban Sustainability assessment tools and identify the gaps so as to find out whether these are capable of and suitable for addressing multiple issues of Urban Sustainability in multiple contexts, including settlements in diverse geo-climatic and ecologically sensitive regions such as the Himalayan hill regions of India. Qualitative Content Analysis (QCA) is employed in this study to identify various themes/categories associated with various dimensions of Sustainability. A total of 2594 articles were selected, of which 105 have been analysed in detail. The research reviews six most widely used Urban Sustainability assessment tools i.e., Building Research Establishment Environmental Assessment Method (BREEAM)for Communities, Comprehensive Assessment System for Built Environment Efficiency (CASBEE) for Urban Development, Green Building Index (GBI)for Township, Leadership in Energy and Environmental Design (LEED) for Neighbourhood Development that are used in other countries, and Indian Green Building Council (IGBC)for Green Townships and Green Rating for Integrated Habitat Assessment (GRIHA) for Large Development which are used in India. Analysis of these assessment tools reveals that most of them view Sustainability from different perspectives by laying more emphasis on some aspects like infrastructure and resource management while ignoring others like cultural, business and innovation. The findings of the analysis highlight that certain aspects are given more importance in all the Urban Sustainability assessment tools reviewed and certain other aspects are given much lower or no consideration in all tools reflecting an incomprehensive understanding of Urban Sustainability on one hand; most tools reviewed do not address all context-specific aspects on the other. Further, it is observed that these tools are unable to address the complex relationships among various criteria and categories and each criterion is assessed in isolation irrespective of the fact that it can influence or be influenced by other criteria.
