Measuring railway network performance considering accessibility levels in cities worldwide |
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| Institution: | 1. Department of Risk Engineering, Graduate School of Systems and Information Engineering, University of Tsukuba, Japan;2. Division of Policy and Planning Sciences, Faculty of Engineering, Information and Systems, University of Tsukuba, Japan;1. School of Urban & Regional Planning, Ryerson University, Toronto, ON M5B1Y3, Canada;2. TransLAB (Transportation Research Lab), School of Earth, Environment & Society, McMaster University Hamilton, ON L8S4K1, Canada;1. College of Transport and Communications, Shanghai Maritime University, 1550 Haigang Avenue, Lingang New City, Pudong New Area, Shanghai 201306, China;2. Institute for Urban Risk Management of Tongji University, No.17, Lane 1377, Jiangchang Road, Shanghai 200072, China;3. Shanghai State-owned Capital Investment Co., Ltd, No.1000 Middle Yan''an Road, Shanghai 200040, China;1. College of Urban and Environmental Sciences, Peking University, No.5 Yiheyuan Road, Beijing 100871, China;2. Institute of Beijing Studies, Beijing Union University, 197 Bei-Tu-Cheng West Road, Beijing 100191, China |
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| Abstract: | There is a growing acceptance of and interest in transit accessibility-based developments as a means to address urban challenges, such as automobile dependency, air pollution, urban sprawl, and congestion. Additionally, prompting car drivers to switch to public transit requires the construction of attractive and accessible public transit systems. Accordingly, it is necessary to measure railway network performance while considering accessibility, which indicates the potential opportunity of interaction. Thus, this study aims to develop a railway network performance index (RPI) to evaluate transit accessibility, with regard to differences in travel speed, and conduct a comparative analysis of 40 cities worldwide. The major findings are as follows. European cities have a high RPI, but cities in developing countries have relatively low RPI values, due to railway infrastructure shortages. Railway and station density have a positive relationship with RPI, but differences in RPI emerge between cities with the same infrastructure levels. This difference indicates the importance of efficient railway system connections between the distributions of populations and facilities. Overall, this study enhances understandings of transit accessibility and provides benchmark points that may be useful for decision-making processes, transportation investments, and land use policies. |
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