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Comprehensive Public Transport Service Accessibility Index—A New Approach Based on Degree Centrality and Gravity Model

Author

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  • Ruqin Yang

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
    Wuhan Natural Resources and Planning Information Center, Wuhan 430014, China)

  • Yaolin Liu

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Yanfang Liu

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Hui Liu

    (Wuhan Natural Resources and Planning Information Center, Wuhan 430014, China)

  • Wenxia Gan

    (School of Civil Engineering and Architecture, Wuhan Institution of Technology, Wuhan 430074, China)

Abstract

Public transport accessibility (PTA) is an essential index for evaluating the efficiency of urban public transport resource and public service. Improving public transport accessibility is considered as the most effective way of alleviating urban congestion and promoting urban sustainability. PTA can be divided into three types, which are access to stations, accessibility of networks and access to activities. This paper focuses on evaluating access to public transport service at stations, considering walking time to stations and waiting time for services at stations. Numerous studies have been carried out on evaluating the accessibility of public transport stations. When building accessibility evaluation model, rare has seen different public transport modes as an integrated system. Hence the topological structure and geometrical layout of the system are not considered. In this paper, factors like the configuration of the public transport system and the surrounding environment of stations are included for the evaluation. The centrality of station index (COS) is presented to describe the importance of stations in the integrated public transport system. The COS index is an improved combination of the gravity model and degree centrality index of the complex network. This index improves the degree centrality index by replacing the number of nodes with weighted connections between stations. By modeling public transport operation, configuration and surroundings of stations, a comprehensive public transport service accessibility index (CPTAI) is formulated to quantify accessibility at the community level. To compute this index, a network analysis model is firstly applied to find the nearest station for each point of interest (POI) by using ArcGIS desktop 10.2, and the transport service frequency at the nearest station is measured. Then Baidu Map API is employed to measure the impedance indexes between stations in the integrated public transport network. Activities covered by stations within a given distance are seen as the generation and attraction of trips in between the stations. Then a weighted gravity model and COS is presented to calculate the integrated service frequency (ISF) for each POI afterward. In the end, the index is converted to the community level, which is CPTAI. The experiment is carried out in Wuhan metropolitan area, Hubei, China. Smart card data (SCD) is utilized to evaluate CPTAI and examine the association between commuting trips by public transport and accessibility level within Wuhan metropolitan area. Experimental results show that CPTAI has a significant statistical association with trips by public transport.

Suggested Citation

  • Ruqin Yang & Yaolin Liu & Yanfang Liu & Hui Liu & Wenxia Gan, 2019. "Comprehensive Public Transport Service Accessibility Index—A New Approach Based on Degree Centrality and Gravity Model," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5634-:d:275886
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    1. Cheng, Yung-Hsiang & Chen, Ssu-Yun, 2015. "Perceived accessibility, mobility, and connectivity of public transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 386-403.
    2. Neutens, Tijs, 2015. "Accessibility, equity and health care: review and research directions for transport geographers," Journal of Transport Geography, Elsevier, vol. 43(C), pages 14-27.
    3. Cherry, Christopher, 2007. "Electric Bike Use in China and Their Impacts on the Environment, Safety, Mobility and Accessibility," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8bn7v9jm, Institute of Transportation Studies, UC Berkeley.
    4. Roger Bivand, 2008. "Implementing Representations Of Space In Economic Geography," Journal of Regional Science, Wiley Blackwell, vol. 48(1), pages 1-27, February.
    5. Goldman, Todd & Gorham, Roger, 2006. "Sustainable urban transport: Four innovative directions," Technology in Society, Elsevier, vol. 28(1), pages 261-273.
    6. Hawas, Yaser E. & Hassan, Mohammad Nurul & Abulibdeh, Ammar, 2016. "A multi-criteria approach of assessing public transport accessibility at a strategic level," Journal of Transport Geography, Elsevier, vol. 57(C), pages 19-34.
    7. Zhang, Chunqin & Juan, Zhicai & Lu, Weite & Xiao, Guangnian, 2016. "Do the organizational forms affect passenger satisfaction? Evidence from Chinese public transport service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 129-148.
    8. Velaga, Nagendra R. & Beecroft, Mark & Nelson, John D. & Corsar, David & Edwards, Peter, 2012. "Transport poverty meets the digital divide: accessibility and connectivity in rural communities," Journal of Transport Geography, Elsevier, vol. 21(C), pages 102-112.
    9. Mishra, Sabyasachee & Welch, Timothy F. & Jha, Manoj K., 2012. "Performance indicators for public transit connectivity in multi-modal transportation networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1066-1085.
    10. Robin Haynes & Andrew Lovett & Gisela Sünnenberg, 2003. "Potential Accessibility, Travel Time, and Consumer Choice: Geographical Variations in General Medical Practice Registrations in Eastern England," Environment and Planning A, , vol. 35(10), pages 1733-1750, October.
    11. Saghapour, Tayebeh & Moridpour, Sara & Thompson, Russell G., 2016. "Public transport accessibility in metropolitan areas: A new approach incorporating population density," Journal of Transport Geography, Elsevier, vol. 54(C), pages 273-285.
    12. Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), 2012. "Accessibility Analysis and Transport Planning," Books, Edward Elgar Publishing, number 14718.
    13. Dominik Ziemke & Johan W. Joubert & Kai Nagel, 2018. "Accessibility in a Post-Apartheid City: Comparison of Two Approaches for Accessibility Computations," Networks and Spatial Economics, Springer, vol. 18(2), pages 241-271, June.
    14. HE, Ling-Yun & QIU, Lu-Yi, 2016. "Transport demand, harmful emissions, environment and health co-benefits in China," Energy Policy, Elsevier, vol. 97(C), pages 267-275.
    15. Curtis, Carey, 2008. "Planning for sustainable accessibility: The implementation challenge," Transport Policy, Elsevier, vol. 15(2), pages 104-112, March.
    16. Mavoa, Suzanne & Witten, Karen & McCreanor, Tim & O’Sullivan, David, 2012. "GIS based destination accessibility via public transit and walking in Auckland, New Zealand," Journal of Transport Geography, Elsevier, vol. 20(1), pages 15-22.
    17. G H Pirie, 1979. "Measuring Accessibility: A Review and Proposal," Environment and Planning A, , vol. 11(3), pages 299-312, March.
    18. Delbosc, Alexa & Currie, Graham, 2011. "The spatial context of transport disadvantage, social exclusion and well-being," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1130-1137.
    19. Currie, Graham, 2010. "Quantifying spatial gaps in public transport supply based on social needs," Journal of Transport Geography, Elsevier, vol. 18(1), pages 31-41.
    20. Salonen, Maria & Toivonen, Tuuli, 2013. "Modelling travel time in urban networks: comparable measures for private car and public transport," Journal of Transport Geography, Elsevier, vol. 31(C), pages 143-153.
    21. Fransen, Koos & Neutens, Tijs & Farber, Steven & De Maeyer, Philippe & Deruyter, Greet & Witlox, Frank, 2015. "Identifying public transport gaps using time-dependent accessibility levels," Journal of Transport Geography, Elsevier, vol. 48(C), pages 176-187.
    22. Wu, Belinda M. & Hine, Julian P., 2003. "A PTAL approach to measuring changes in bus service accessibility," Transport Policy, Elsevier, vol. 10(4), pages 307-320, October.
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