IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v132y2023icp65-75.html
   My bibliography  Save this article

Using mobile phone big data to identify inequity of aging groups in transit-oriented development station usage: A case of Tokyo

Author

Listed:
  • Chen, Zhiheng
  • Li, Peiran
  • Jin, YanXiu
  • Bharule, Shreyas
  • Jia, Ning
  • Li, Wenjing
  • Song, Xuan
  • Shibasaki, Ryosuke
  • Zhang, Haoran

Abstract

With the coming of the aging society, the lives and travel of vulnerable groups, especially the elderly, have received unprecedented attention. This paper provides a framework for TOD age inequity research applicable to high-density and public-transport-oriented cities. Our research uses big mobile phone positioning data to extract the age information of TOD (Transit-Oriented Development) station users and uses geographic information and survey data to quantify the TOD service level. Then, we used the Gini coefficient, correlation coefficient analysis, and cluster analysis to explore the differences in TOD resource allocation across age groups on the JR Yamanote Line and part of the JR Chuo line in Tokyo. The results show that inequity exists at the TOD service level regarding user age, and there is a negative correlation between the average age of users and most indicators of TOD. In the clustering results, three unique TOD groups are formed: a) Residence-oriented aging TOD, b) Livable middle-aged TOD, and c) Commuter-oriented young TOD. Based on the research results, we made three suggestions for building an age-friendly TOD: a) More diverse land use, b) Better connectivity between transit nodes and multimodal transportation, and c) Affordable housing cost.

Suggested Citation

  • Chen, Zhiheng & Li, Peiran & Jin, YanXiu & Bharule, Shreyas & Jia, Ning & Li, Wenjing & Song, Xuan & Shibasaki, Ryosuke & Zhang, Haoran, 2023. "Using mobile phone big data to identify inequity of aging groups in transit-oriented development station usage: A case of Tokyo," Transport Policy, Elsevier, vol. 132(C), pages 65-75.
    • Handle: RePEc:eee:trapol:v:132:y:2023:i:c:p:65-75
    DOI: 10.1016/j.tranpol.2022.12.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X22003456
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2022.12.010?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sui, Yi & Zhang, Haoran & Shang, Wenlong & Sun, Rencheng & Wang, Changying & Ji, Jun & Song, Xuan & Shao, Fengjing, 2020. "Mining urban sustainable performance: Spatio-temporal emission potential changes of urban transit buses in post-COVID-19 future," Applied Energy, Elsevier, vol. 280(C).
    2. Yu, Zidong & Zhu, Xiaolin & Liu, Xintao, 2022. "Characterizing metro stations via urban function: Thematic evidence from transit-oriented development (TOD) in Hong Kong," Journal of Transport Geography, Elsevier, vol. 99(C).
    3. Chorus, Paul & Bertolini, Luca, 2011. "An application of the node-place model to explore the spatial development dynamics of station areas in Tokyo," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 4(1), pages 45-58.
    4. van Wee, Bert, 2016. "Accessible accessibility research challenges," Journal of Transport Geography, Elsevier, vol. 51(C), pages 9-16.
    5. He, Sylvia Y. & Cheung, Yannie H.Y. & Tao, Sui, 2018. "Travel mobility and social participation among older people in a transit metropolis: A socio-spatial-temporal perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 608-626.
    6. Zemp, Stefan & Stauffacher, Michael & Lang, Daniel J. & Scholz, Roland W., 2011. "Classifying railway stations for strategic transport and land use planning: Context matters!," Journal of Transport Geography, Elsevier, vol. 19(4), pages 670-679.
    7. Cheng, Long & Chen, Xuewu & Yang, Shuo & Cao, Zhan & De Vos, Jonas & Witlox, Frank, 2019. "Active travel for active ageing in China: The role of built environment," Journal of Transport Geography, Elsevier, vol. 76(C), pages 142-152.
    8. Li, Zekun & Han, Zixuan & Xin, Jing & Luo, Xin & Su, Shiliang & Weng, Min, 2019. "Transit oriented development among metro station areas in Shanghai, China: Variations, typology, optimization and implications for land use planning," Land Use Policy, Elsevier, vol. 82(C), pages 269-282.
    9. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2014. "Advance transit oriented development typology: case study in Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 34(C), pages 54-70.
    10. Vale, David S., 2015. "Transit-oriented development, integration of land use and transport, and pedestrian accessibility: Combining node-place model with pedestrian shed ratio to evaluate and classify station areas in Lisbo," Journal of Transport Geography, Elsevier, vol. 45(C), pages 70-80.
    11. Moniruzzaman, Md & Páez, Antonio, 2016. "An investigation of the attributes of walkable environments from the perspective of seniors in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 85-96.
    12. Liao, Cong & Scheuer, Bronte, 2022. "Evaluating the performance of transit-oriented development in Beijing metro station areas: Integrating morphology and demand into the node-place model," Journal of Transport Geography, Elsevier, vol. 100(C).
    13. Reusser, Dominik E. & Loukopoulos, Peter & Stauffacher, Michael & Scholz, Roland W., 2008. "Classifying railway stations for sustainable transitions – balancing node and place functions," Journal of Transport Geography, Elsevier, vol. 16(3), pages 191-202.
    14. Atkinson-Palombo, Carol & Kuby, Michael J., 2011. "The geography of advance transit-oriented development in metropolitan Phoenix, Arizona, 2000–2007," Journal of Transport Geography, Elsevier, vol. 19(2), pages 189-199.
    15. Banister, David & Bowling, Ann, 2004. "Quality of life for the elderly: the transport dimension," Transport Policy, Elsevier, vol. 11(2), pages 105-115, April.
    16. Wong, R.C.P. & Szeto, W.Y. & Yang, Linchuan & Li, Y.C. & Wong, S.C., 2018. "Public transport policy measures for improving elderly mobility," Transport Policy, Elsevier, vol. 63(C), pages 73-79.
    17. Spinney, Jamie E.L. & Scott, Darren M. & Newbold, K. Bruce, 2009. "Transport mobility benefits and quality of life: A time-use perspective of elderly Canadians," Transport Policy, Elsevier, vol. 16(1), pages 1-11, January.
    18. Lyu, Guowei & Bertolini, Luca & Pfeffer, Karin, 2016. "Developing a TOD typology for Beijing metro station areas," Journal of Transport Geography, Elsevier, vol. 55(C), pages 40-50.
    19. Boschmann, E. Eric & Brady, Sylvia A., 2013. "Travel behaviors, sustainable mobility, and transit-oriented developments: a travel counts analysis of older adults in the Denver, Colorado metropolitan area," Journal of Transport Geography, Elsevier, vol. 33(C), pages 1-11.
    20. Zhang, Haoran & Song, Xuan & Xia, Tianqi & Yuan, Meng & Fan, Zipei & Shibasaki, Ryosuke & Liang, Yongtu, 2018. "Battery electric vehicles in Japan: Human mobile behavior based adoption potential analysis and policy target response," Applied Energy, Elsevier, vol. 220(C), pages 527-535.
    21. Dong, Hongwei, 2017. "Rail-transit-induced gentrification and the affordability paradox of TOD," Journal of Transport Geography, Elsevier, vol. 63(C), pages 1-10.
    22. Nasri, Arefeh & Zhang, Lei, 2014. "The analysis of transit-oriented development (TOD) in Washington, D.C. and Baltimore metropolitan areas," Transport Policy, Elsevier, vol. 32(C), pages 172-179.
    Full references (including those not matched with items on IDEAS)

    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. Liao, Cong & Scheuer, Bronte, 2022. "Evaluating the performance of transit-oriented development in Beijing metro station areas: Integrating morphology and demand into the node-place model," Journal of Transport Geography, Elsevier, vol. 100(C).
    2. Li, Zekun & Han, Zixuan & Xin, Jing & Luo, Xin & Su, Shiliang & Weng, Min, 2019. "Transit oriented development among metro station areas in Shanghai, China: Variations, typology, optimization and implications for land use planning," Land Use Policy, Elsevier, vol. 82(C), pages 269-282.
    3. Su, Shiliang & Zhang, Hui & Wang, Miao & Weng, Min & Kang, Mengjun, 2021. "Transit-oriented development (TOD) typologies around metro station areas in urban China: A comparative analysis of five typical megacities for planning implications," Journal of Transport Geography, Elsevier, vol. 90(C).
    4. Jeffrey, Dana & Boulangé, Claire & Giles-Corti, Billie & Washington, Simon & Gunn, Lucy, 2019. "Using walkability measures to identify train stations with the potential to become transit oriented developments located in walkable neighbourhoods," Journal of Transport Geography, Elsevier, vol. 76(C), pages 221-231.
    5. Zhang, Yuerong & Marshall, Stephen & Manley, Ed, 2019. "Network criticality and the node-place-design model: Classifying metro station areas in Greater London," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    6. Liu, Yunzhe & Singleton, Alex & Arribas-Bel, Daniel, 2020. "Considering context and dynamics: A classification of transit-orientated development for New York City," Journal of Transport Geography, Elsevier, vol. 85(C).
    7. Ibraeva, Anna & Correia, Gonçalo Homem de Almeida & Silva, Cecília & Antunes, António Pais, 2020. "Transit-oriented development: A review of research achievements and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 110-130.
    8. Nigro, Antonio & Bertolini, Luca & Moccia, Francesco Domenico, 2019. "Land use and public transport integration in small cities and towns: Assessment methodology and application," Journal of Transport Geography, Elsevier, vol. 74(C), pages 110-124.
    9. Pezeshknejad, Parsa & Monajem, Saeed & Mozafari, Hamid, 2020. "Evaluating sustainability and land use integration of BRT stations via extended node place model, an application on BRT stations of Tehran," Journal of Transport Geography, Elsevier, vol. 82(C).
    10. Lyu, Guowei & Bertolini, Luca & Pfeffer, Karin, 2016. "Developing a TOD typology for Beijing metro station areas," Journal of Transport Geography, Elsevier, vol. 55(C), pages 40-50.
    11. Papa, Enrica & Bertolini, Luca, 2015. "Accessibility and Transit-Oriented Development in European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 47(C), pages 70-83.
    12. Yingqun Zhang & Rui Song & Rob van Nes & Shiwei He & Weichuan Yin, 2019. "Identifying Urban Structure Based on Transit-Oriented Development," Sustainability, MDPI, vol. 11(24), pages 1-21, December.
    13. Higgins, Christopher D. & Kanaroglou, Pavlos S., 2016. "A latent class method for classifying and evaluating the performance of station area transit-oriented development in the Toronto region," Journal of Transport Geography, Elsevier, vol. 52(C), pages 61-72.
    14. Freke Caset & David S. Vale & Cláudia M. Viana, 2018. "Measuring the Accessibility of Railway Stations in the Brussels Regional Express Network: a Node-Place Modeling Approach," Networks and Spatial Economics, Springer, vol. 18(3), pages 495-530, September.
    15. Wei Wu & Prasanna Divigalpitiya, 2022. "Assessment of Accessibility and Activity Intensity to Identify Future Development Priority TODs in Hefei City," Land, MDPI, vol. 11(9), pages 1-17, September.
    16. Su, Shiliang & Wang, Zhuolun & Li, Bozhao & Kang, Mengjun, 2022. "Deciphering the influence of TOD on metro ridership: An integrated approach of extended node-place model and interpretable machine learning with planning implications," Journal of Transport Geography, Elsevier, vol. 104(C).
    17. Singh, Yamini Jain & Lukman, Azhari & Flacke, Johannes & Zuidgeest, Mark & Van Maarseveen, M.F.A.M., 2017. "Measuring TOD around transit nodes - Towards TOD policy," Transport Policy, Elsevier, vol. 56(C), pages 96-111.
    18. Vale, David S. & Viana, Cláudia M. & Pereira, Mauro, 2018. "The extended node-place model at the local scale: Evaluating the integration of land use and transport for Lisbon's subway network," Journal of Transport Geography, Elsevier, vol. 69(C), pages 282-293.
    19. Kaniz Fatima & Sara Moridpour & Tayebeh Saghapour, 2021. "Spatial and Temporal Distribution of Elderly Public Transport Mode Preference," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    20. Kamruzzaman, Md. & Deilami, Kaveh & Yigitcanlar, Tan, 2018. "Investigating the urban heat island effect of transit oriented development in Brisbane," Journal of Transport Geography, Elsevier, vol. 66(C), pages 116-124.

    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:trapol:v:132:y:2023:i:c:p:65-75. 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: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.