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Equity in Health-Seeking Behavior of Groups Using Different Transportations

Author

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  • Fangye Du

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jiaoe Wang

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yu Liu

    (Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing 100871, China)

  • Zihao Zhou

    (Concord College, Shrewsbury SY5 7PF, UK)

  • Haitao Jin

    (School of Computer, Beijing Information Science and Technology University, Beijing 100101, China)

Abstract

The equity of health-seeking behaviors of groups using different transportations is an important metric for health outcome disparities among them. Recently, smart card data and taxi trajectory data have been used extensively but separately to quantify the spatiotemporal patterns of health-seeking behavior and healthcare accessibility. However, the differences in health-seeking behavior among groups by different transportations have hitherto received scant attention from scholars. To fill the gap, this paper aimed to investigate the equity in health-seeking behavior of groups using different transportations. With sets of spatial and temporal constraints, we first extracted health-seeking behaviors by bus and taxi from smart card data and taxi trajectory data from Beijing during 13–17 April 2015. Then, health-seeking behaviors of groups by bus and taxi were compared regarding the coverage of hospital service areas, time efficiency to seek healthcare, and transportation access. The results indicated that there are inequities in groups using different travel modes to seek healthcare regarding the coverage of hospital service areas, time efficiency to seek healthcare, and transportation access. They provide some suggestions for mode-specific interventions to narrow health disparity, which might be more efficient than a one-size-fits-all intervention.

Suggested Citation

  • Fangye Du & Jiaoe Wang & Yu Liu & Zihao Zhou & Haitao Jin, 2022. "Equity in Health-Seeking Behavior of Groups Using Different Transportations," IJERPH, MDPI, vol. 19(5), pages 1-16, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2765-:d:760002
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    References listed on IDEAS

    as
    1. Mikhail Chester & Andrew Fraser & Juan Matute & Carolyn Flower & Ram Pendyala, 2015. "Parking Infrastructure: A Constraint on or Opportunity for Urban Redevelopment? A Study of Los Angeles County Parking Supply and Growth," Journal of the American Planning Association, Taylor & Francis Journals, vol. 81(4), pages 268-286, October.
    2. Miaoyi Li & Lei Dong & Zhenjiang Shen & Wei Lang & Xinyue Ye, 2017. "Examining the Interaction of Taxi and Subway Ridership for Sustainable Urbanization," Sustainability, MDPI, vol. 9(2), pages 1-12, February.
    3. repec:nas:journl:v:115:y:2018:p:12710-12715 is not listed on IDEAS
    4. Lars Böcker & Patrick Amen & Marco Helbich, 2017. "Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands," Transportation, Springer, vol. 44(4), pages 831-852, July.
    5. Tu, Wei & Cao, Rui & Yue, Yang & Zhou, Baoding & Li, Qiuping & Li, Qingquan, 2018. "Spatial variations in urban public ridership derived from GPS trajectories and smart card data," Journal of Transport Geography, Elsevier, vol. 69(C), pages 45-57.
    6. Commins, Nicola & Nolan, Anne, 2011. "The determinants of mode of transport to work in the Greater Dublin Area," Transport Policy, Elsevier, vol. 18(1), pages 259-268, January.
    7. Du, Fangye & Mao, Liang & Wang, Jiaoe, 2021. "Determinants of travel mode choice for seeking healthcare: A comparison between elderly and non-elderly patients," Journal of Transport Geography, Elsevier, vol. 92(C).
    8. Xiaofang Pan & Mei-Po Kwan & Lin Yang & Shunping Zhou & Zejun Zuo & Bo Wan, 2018. "Evaluating the Accessibility of Healthcare Facilities Using an Integrated Catchment Area Approach," IJERPH, MDPI, vol. 15(9), pages 1-21, September.
    9. Wang, Wenjun & Pan, Lin & Yuan, Ning & Zhang, Sen & Liu, Dong, 2015. "A comparative analysis of intra-city human mobility by taxi," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 134-147.
    10. Jie Huang & David Levinson & Jiaoe Wang & Zi-jia Wang, 2018. "Tracking job and housing dynamics with smartcard data," Working Papers 2018-01, University of Minnesota: Nexus Research Group.
    11. Rika Idei & Hironori Kato, 2020. "Medical-purposed travel behaviors in rural areas in developing countries: a case study in rural Cambodia," Transportation, Springer, vol. 47(3), pages 1415-1438, June.
    12. Mei-Po Kwan, 1999. "Gender, the Home-Work Link, and Space-Time Patterns of Nonemployment Activities," Economic Geography, Taylor & Francis Journals, vol. 75(4), pages 370-394, October.
    13. Jie Huang & David Levinson & Jiaoe Wang & Haitao Jin, 2019. "Job-worker spatial dynamics in Beijing: Insights from Smart Card Data," Working Papers 2019-01, University of Minnesota: Nexus Research Group.
    14. Xuefeng Li & Yong Zhang & Mingyang Du, 2018. "Analysis of Travel Decision-Making for Urban Elderly Healthcare Activities under Temporal and Spatial Constraints," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    15. Fangye Du & Jiaoe Wang & Haitao Jin, 2021. "Whether Public Hospital Reform Affects the Hospital Choices of Patients in Urban Areas: New Evidence from Smart Card Data," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
    16. Gschwender, Antonio & Munizaga, Marcela & Simonetti, Carolina, 2016. "Using smart card and GPS data for policy and planning: The case of Transantiago," Research in Transportation Economics, Elsevier, vol. 59(C), pages 242-249.
    17. Zhang, Xiaohu & Xu, Yang & Tu, Wei & Ratti, Carlo, 2018. "Do different datasets tell the same story about urban mobility — A comparative study of public transit and taxi usage," Journal of Transport Geography, Elsevier, vol. 70(C), pages 78-90.
    18. Liu, Xi & Gong, Li & Gong, Yongxi & Liu, Yu, 2015. "Revealing travel patterns and city structure with taxi trip data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 78-90.
    19. Ma, Xiaolei & Liu, Congcong & Wen, Huimin & Wang, Yunpeng & Wu, Yao-Jan, 2017. "Understanding commuting patterns using transit smart card data," Journal of Transport Geography, Elsevier, vol. 58(C), pages 135-145.
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    1. Zhuolin Tao & Qi Wang, 2022. "Facility or Transport Inequality? Decomposing Healthcare Accessibility Inequality in Shenzhen, China," IJERPH, MDPI, vol. 19(11), pages 1-14, June.

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