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Determining intra-urban spatial accessibility disparities in multimodal public transport networks

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  • Chen, Jie
  • Ni, Jianhua
  • Xi, Changbai
  • Li, Siqian
  • Wang, Jiechen

Abstract

Urban rail systems have been added to public transport systems, thereby changing distribution disparities in urban spatial accessibility. These disparities reflect both the ability of the public transport system to meet the needs of residents and the locational pros and cons of public service facilities. In this paper, integrated accessibility metrics are used to assess the disparities in Nanjing, Jiangsu Province, China. This is achieved by dividing the urban space into a multilevel grid that can be easily combined with grid-based population data to facilitate accessibility modeling, calculation, and evaluation. Additionally, an acquisition method for more accurate travel time data in the multimodal public transportation network was developed on the basis of an Internet mapping service. This provides a realistic, multimodal, door-to-door modeling approach that avoids the requirement of building complex traffic networks through Geographic Information System (GIS) software and simplifies road network modeling efforts. The results show that this modeling method can be used to reflect the accessibility disparities in the Nanjing urban space objectively and accurately.

Suggested Citation

  • Chen, Jie & Ni, Jianhua & Xi, Changbai & Li, Siqian & Wang, Jiechen, 2017. "Determining intra-urban spatial accessibility disparities in multimodal public transport networks," Journal of Transport Geography, Elsevier, vol. 65(C), pages 123-133.
    • Handle: RePEc:eee:jotrge:v:65:y:2017:i:c:p:123-133
    DOI: 10.1016/j.jtrangeo.2017.10.015
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    7. Zhipeng Zhu & Junyi Li & Ziru Chen, 2023. "Green space equity: spatial distribution of urban green spaces and correlation with urbanization in Xiamen, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 423-443, January.
    8. Yi, Xu & Lian, Feng & Yang, Zhongzhen, 2022. "Research on commuters’ carpooling behavior in the mobile internet context," Transport Policy, Elsevier, vol. 126(C), pages 14-25.
    9. Ben-Elia, Eran & Benenson, Itzhak, 2019. "A spatially-explicit method for analyzing the equity of transit commuters' accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 31-42.
    10. Meina Zheng & Feng Liu & Xiucheng Guo & Xinyue Lei, 2019. "Assessing the Distribution of Commuting Trips and Jobs-Housing Balance Using Smart Card Data: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    11. Linlin Liu & Bohong Zheng & Chen Luo & Komi Bernard Bedra & Francis Masrabaye, 2022. "Access to City Center: Automobile vs. Public Transit," IJERPH, MDPI, vol. 19(9), pages 1-16, May.

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