IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v65y2017icp123-133.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692317301990
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2017.10.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Wang, Chih-Hao & Chen, Na, 2015. "A GIS-based spatial statistical approach to modeling job accessibility by transportation mode: case study of Columbus, Ohio," Journal of Transport Geography, Elsevier, vol. 45(C), pages 1-11.
    2. Cheng, Jianquan & Bertolini, Luca, 2013. "Measuring urban job accessibility with distance decay, competition and diversity," Journal of Transport Geography, Elsevier, vol. 30(C), pages 100-109.
    3. Rebecca C W Kwok & Anthony G O Yeh, 2004. "The Use of Modal Accessibility Gap as an Indicator for Sustainable Transport Development," Environment and Planning A, , vol. 36(5), pages 921-936, May.
    4. Buys, Laurie & Miller, Evonne, 2011. "Conceptualising convenience: Transportation practices and perceptions of inner-urban high density residents in Brisbane, Australia," Transport Policy, Elsevier, vol. 18(1), pages 289-297, January.
    5. Langford, M. & Higgs, G. & Fry, R., 2012. "Using floating catchment analysis (FCA) techniques to examine intra-urban variations in accessibility to public transport opportunities: the example of Cardiff, Wales," Journal of Transport Geography, Elsevier, vol. 25(C), pages 1-14.
    6. Q Shen, 1998. "Location Characteristics of Inner-City Neighborhoods and Employment Accessibility of Low-Wage Workers," Environment and Planning B, , vol. 25(3), pages 345-365, June.
    7. Itzhak Benenson & Karel Martens & Yodan Rofé & Ariela Kwartler, 2011. "Public transport versus private car GIS-based estimation of accessibility applied to the Tel Aviv metropolitan area," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(3), pages 499-515, December.
    8. 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.
    9. 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.
    10. Daniel Baldwin Hess, 2005. "Access to Employment for Adults in Poverty in the Buffalo-Niagara Region," Urban Studies, Urban Studies Journal Limited, vol. 42(7), pages 1177-1200, June.
    11. David Martin & Hannah Jordan & Paul Roderick, 2008. "Taking the Bus: Incorporating Public Transport Timetable Data into Health Care Accessibility Modelling," Environment and Planning A, , vol. 40(10), pages 2510-2525, October.
    12. Elias, Wafa & Shiftan, Yoram, 2012. "The influence of individual’s risk perception and attitudes on travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1241-1251.
    13. S L Handy & D A Niemeier, 1997. "Measuring Accessibility: An Exploration of Issues and Alternatives," Environment and Planning A, , vol. 29(7), pages 1175-1194, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    4. Xiao, Weiye & Wei, Yehua Dennis & Wan, Neng, 2021. "Modeling job accessibility using online map data: An extended two-step floating catchment area method with multiple travel modes," Journal of Transport Geography, Elsevier, vol. 93(C).
    5. Feng, Rui & Zhang, Jin & Wu, Yuelong & Wu, Ruibo & Yao, Baozhen, 2023. "School accessibility evaluation under mixed-load school bus routing problem strategies," Transport Policy, Elsevier, vol. 131(C), pages 75-86.
    6. Renata Żochowska & Marcin Jacek Kłos & Piotr Soczówka & Marcin Pilch, 2022. "Assessment of Accessibility of Public Transport by Using Temporal and Spatial Analysis," Sustainability, MDPI, vol. 14(23), pages 1-29, December.
    7. Jeon-Young Kang & Seunghwan Lee, 2022. "Exploring Food Deserts in Seoul, South Korea during the COVID-19 Pandemic (from 2019 to 2021)," Sustainability, MDPI, vol. 14(9), pages 1-8, April.
    8. 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.
    9. Helai Huang & Jialing Wu & Fang Liu & Yiwei Wang, 2020. "Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    10. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. Yang, Wenyue & Chen, Bi Yu & Cao, Xiaoshu & Li, Tao & Li, Peng, 2017. "The spatial characteristics and influencing factors of modal accessibility gaps: A case study for Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 21-32.
    5. Merlin, Louis A. & Hu, Lingqian, 2017. "Does competition matter in measures of job accessibility? Explaining employment in Los Angeles," Journal of Transport Geography, Elsevier, vol. 64(C), pages 77-88.
    6. Xueming (Jimmy) Chen, 2018. "Review of the Transit Accessibility Concept: A Case Study of Richmond, Virginia," Sustainability, MDPI, vol. 10(12), pages 1-19, December.
    7. Golub, Aaron & Martens, Karel, 2014. "Using principles of justice to assess the modal equity of regional transportation plans," Journal of Transport Geography, Elsevier, vol. 41(C), pages 10-20.
    8. Lingqian Hu, 2017. "Job accessibility and employment outcomes: which income groups benefit the most?," Transportation, Springer, vol. 44(6), pages 1421-1443, November.
    9. Cheng, Jianquan & Bertolini, Luca, 2013. "Measuring urban job accessibility with distance decay, competition and diversity," Journal of Transport Geography, Elsevier, vol. 30(C), pages 100-109.
    10. Kelobonye, Keone & McCarney, Gary & Xia, Jianhong (Cecilia) & Swapan, Mohammad Shahidul Hasan & Mao, Feng & Zhou, Heng, 2019. "Relative accessibility analysis for key land uses: A spatial equity perspective," Journal of Transport Geography, Elsevier, vol. 75(C), pages 82-93.
    11. Dewulf, Bart & Neutens, Tijs & Vanlommel, Mario & Logghe, Steven & De Maeyer, Philippe & Witlox, Frank & De Weerdt, Yves & Van de Weghe, Nico, 2015. "Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times," Journal of Transport Geography, Elsevier, vol. 48(C), pages 41-51.
    12. Zhao, Yun & Yu, Hongbo, 2018. "A door-to-door travel time approach for evaluating modal competition of intercity travel: A focus on the proposed Dallas-Houston HSR route," Journal of Transport Geography, Elsevier, vol. 72(C), pages 13-22.
    13. Nassir, Neema & Hickman, Mark & Malekzadeh, Ali & Irannezhad, Elnaz, 2016. "A utility-based travel impedance measure for public transit network accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 26-39.
    14. Kim, Junghwan & Lee, Bumsoo, 2019. "More than travel time: New accessibility index capturing the connectivity of transit services," Journal of Transport Geography, Elsevier, vol. 78(C), pages 8-18.
    15. Benjamin Büttner & Julia Kinigadner & Chenyi Ji & Benjamin Wright & Gebhard Wulfhorst, 2018. "The TUM Accessibility Atlas: Visualizing Spatial and Socioeconomic Disparities in Accessibility to Support Regional Land-Use and Transport Planning," Networks and Spatial Economics, Springer, vol. 18(2), pages 385-414, June.
    16. David S. Vale & Fernando Ascensão & Nuno Raposo & António Pedro Figueiredo, 2017. "Comparing access for all: disability-induced accessibility disparity in Lisbon," Journal of Geographical Systems, Springer, vol. 19(1), pages 43-64, January.
    17. Blair, Neale & Hine, Julian & Bukhari, Syed Murtaza Asghar, 2013. "Analysing the impact of network change on transport disadvantage: a GIS-based case study of Belfast," Journal of Transport Geography, Elsevier, vol. 31(C), pages 192-200.
    18. Jairo Ortega & János Tóth & Tamás Péter, 2021. "A Comprehensive Model to Study the Dynamic Accessibility of the Park & Ride System," Sustainability, MDPI, vol. 13(7), pages 1-17, April.
    19. Lussier-Tomaszewski, P. & Boisjoly, G., 2021. "Thinking regional and acting local: Assessing the joint influence of local and regional accessibility on commute mode in Montreal, Canada," Journal of Transport Geography, Elsevier, vol. 90(C).
    20. Chia, Jason & Lee, Jinwoo (Brian), 2020. "Extending public transit accessibility models to recognise transfer location," Journal of Transport Geography, Elsevier, vol. 82(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jotrge:v:65:y:2017:i:c:p:123-133. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.