A spatio-temporal modelling approach for the study of the connectivity and accessibility of the Guangzhou metropolitan network |
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| Affiliation: | 1. School of Public Management, Guangdong University of Finance and Economics, Guangzhou 510320, People’s Republic of China;2. Naval Academy Research Institute, BP600, F-29240 Lanvéoc-Poulmic, France;1. School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, China;2. School of Engineering, Sun Yat-sen University, Guangzhou, China;3. Guangdong Provincial Key Laboratory of Intelligent Transportation System, Guangzhou, China;1. School of Urban and Regional Planning, Center for Urban and Environmental Solutions, Florida Atlantic University, USA;2. Transport Studies Unit, University of Oxford, UK;3. Department of Planning and Landscape Architecture, Institute of Urban Studies, University of Texas at Arlington, USA;4. City and Metropolitan Planning, Metropolitan Research Center, University of Utah, USA;1. Key Laboratory of Agro-Environment in the Tropics, Ministry of Agriculture, South China Agricultural University, Guangzhou 510642, China;2. Guangdong Engineering Research Center for Modern Eco-agriculture and Circular Agriculture, Guangzhou 510642, China;3. College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China;4. CSIRO, Waite Campus, Urrbrae, SA 5064, Australia;5. Centre for Integrative Ecology, Deakin University, Burwood, Vic 3125, Australia;6. School of Commerce, City West Campus, University of South Australia, 37 – 44 North Terrace, Adelaide, SA 5001, Australia;7. College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China;8. Palm Design Co., Ltd, Guangzhou 510627, China;1. School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, 221116, China;2. School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, 255000, China |
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| Abstract: | The urban growth of large cities in China is at a critical stage with the booming of the economy and impressive increase of the population and traffic demand. This paper studies and qualifies the growth and accessibility of a rapid rail transit network, and characterizes the relations with urban development using a spatio-temporal modelling approach. Several measures of the network topological structure, i.e., beta index (β), cyclomatic number (μ), alpha index (α) and gamma index (γ), are selected in order to examine and quantify the overall metro network growth of the city of Guangzhou in China. The results show that the current spatial connectivity of the Guangzhou’s metro network is relatively low, this stressing the need to augment the reliability of the connections between the network nodes, and to increase the number of circuits in the network. A travel-time matrix is modelled and evaluates the nodes accessibility and characterizes the spatio-temporal evolution of the metro network. The spatial interaction between the different nodes of the network, as well as nodes accessibility are analyzed and derived from a potential-based model. The extension of the metro network clearly shows a dramatic tendency of positive accessibility evolution but with regional differences. In particular, the core of the city is surrounded by areas with highest accessibility values and gradually expanding outward from the core, while the locations of transfer stations have significant influence on the variation of network time-based accessibility. Taking into account different network development scenarios, the approach reveals regional accessibility differences in the metropolitan area of the city of Guangzhou, this clearly illustrating the impact of network accessibility in urban development. |
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| Keywords: | Spatio-temporal modelling Metropolitan network Accessibility Connectivity |
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