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Public Transportation Environment and Medical Choice for Chronic Disease: A Case Study of Gaoyou, China

Author

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  • Yang Cao

    (School of Architecture and Urban Planning, Nanjing University, Nanjing 210023, China)

  • Feng Zhen

    (School of Architecture and Urban Planning, Nanjing University, Nanjing 210023, China)

  • Hao Wu

    (School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China)

Abstract

Current research on the built environment and medical choice focuses mainly on the construction and optimization of medical service systems from the perspective of supply. There is a lack of in-depth research on medical choice from the perspective of patient demand. Based on the medical choice behaviour of patients with chronic diseases, this article identifies the spatial distribution and heterogeneity characteristics of medical choice and evaluates the balance between medical supply and demand in each block. On this basis, we explored the mechanism of patient preferences for different levels of medical facilities by considering the patient’s socioeconomic background, medical resource evaluation, and other built environment features of the neighbourhood by referring to patient questionnaires. In addition to socioeconomic characteristics, the results show that public transportation convenience, medical accessibility, and medical institution conditions also have significant influences on patient preferences, and the impact on low-income patients is more remarkable. The conclusions of the study provide a reference for the promotion and optimization of the functions of urban medical resources and the guidance of relevant public health policies.

Suggested Citation

  • Yang Cao & Feng Zhen & Hao Wu, 2019. "Public Transportation Environment and Medical Choice for Chronic Disease: A Case Study of Gaoyou, China," IJERPH, MDPI, vol. 16(9), pages 1-21, May.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1612-:d:229205
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    Cited by:

    1. Zijing Ye & Ruisi Li & Jing Wu, 2022. "Dynamic Demand Evaluation of COVID-19 Medical Facilities in Wuhan Based on Public Sentiment," IJERPH, MDPI, vol. 19(12), pages 1-22, June.

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