Accessibility of Healthcare Resources to Public Housing in Shenzhen, China: Indirect Map Service and Optimized Two-Step Floating Catchment Area Method

In China, the equal accessibility of social infrastructure, especially public housing and healthcare, has become a prominent concern in solving the problems of rapid but uneven growth-oriented urbanization in the post-reform era. However, few studies have focused on the accessibility of various heal...

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Main Authors: Hu Lirong, He Shenjing, Su Shiliang
Format: Article
Language:zho
Published: Editorial Committee of Tropical Geography 2024-02-01
Series:Redai dili
Subjects:
Online Access:https://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.003824
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author Hu Lirong
He Shenjing
Su Shiliang
author_facet Hu Lirong
He Shenjing
Su Shiliang
author_sort Hu Lirong
collection DOAJ
description In China, the equal accessibility of social infrastructure, especially public housing and healthcare, has become a prominent concern in solving the problems of rapid but uneven growth-oriented urbanization in the post-reform era. However, few studies have focused on the accessibility of various healthcare resources to different types of public housing using different transport modes. Utilizing Internet map services, this study first calculated the travel time from talent, economically affordable, and public rental housing to hospitals using three transport modes—walking, public transport, and driving—in Shenzhen, China. Subsequently, the optimized two-step floating catchment area method (2SFCA) was employed to comprehensively evaluate the accessibility of healthcare resources to public housing and explore differences in healthcare accessibility among different populations. The results reveal that: (1) Public housing is located far away from healthcare resources, with 15% of public housing unable to access AAA hospitals within 30 minutes by car, and only 10% able to access ordinary hospitals within 15 minutes. (2) Accessibility of healthcare resources to public housing exhibits spatial heterogeneity, gradually declining from special to non-special economic zones. (3) Talent housing experiences the best accessibility, followed by affordable and public rental housing. (4) Public transportation and walking exhibit greater spatial variation in accessibility than driving. Theoretically, the current public housing accessibility in Shenzhen reflects the common problems of public housing accessibility throughout the country. In the process of promoting the equal accessibility of basic public services, focus on its accessibility should be emphasized. This study proposes an optimized 2SFCA by introducing a Gaussian distance decay function, establishing a multilevel search radius, considering supply and demand-side competition effects, and using real-time traffic big data. Our methodological framework simultaneously considers differences among various types of public housing, hospitals with different service capacities, and diverse travel modes. This provides a new research perspective for a comprehensive and thorough understanding of the equal accessibility of basic public services.
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spelling doaj.art-e274351e61a8420aa64be60258474f262024-02-19T01:36:41ZzhoEditorial Committee of Tropical GeographyRedai dili1001-52212024-02-0144222623510.13284/j.cnki.rddl.0038241001-5221(2024)02-0226-10Accessibility of Healthcare Resources to Public Housing in Shenzhen, China: Indirect Map Service and Optimized Two-Step Floating Catchment Area MethodHu Lirong0He Shenjing1Su Shiliang2Department of Urban Planning and Design, The University of Hong Kong, Hong Kong 999077, ChinaDepartment of Urban Planning and Design, The University of Hong Kong, Hong Kong 999077, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 310029, ChinaIn China, the equal accessibility of social infrastructure, especially public housing and healthcare, has become a prominent concern in solving the problems of rapid but uneven growth-oriented urbanization in the post-reform era. However, few studies have focused on the accessibility of various healthcare resources to different types of public housing using different transport modes. Utilizing Internet map services, this study first calculated the travel time from talent, economically affordable, and public rental housing to hospitals using three transport modes—walking, public transport, and driving—in Shenzhen, China. Subsequently, the optimized two-step floating catchment area method (2SFCA) was employed to comprehensively evaluate the accessibility of healthcare resources to public housing and explore differences in healthcare accessibility among different populations. The results reveal that: (1) Public housing is located far away from healthcare resources, with 15% of public housing unable to access AAA hospitals within 30 minutes by car, and only 10% able to access ordinary hospitals within 15 minutes. (2) Accessibility of healthcare resources to public housing exhibits spatial heterogeneity, gradually declining from special to non-special economic zones. (3) Talent housing experiences the best accessibility, followed by affordable and public rental housing. (4) Public transportation and walking exhibit greater spatial variation in accessibility than driving. Theoretically, the current public housing accessibility in Shenzhen reflects the common problems of public housing accessibility throughout the country. In the process of promoting the equal accessibility of basic public services, focus on its accessibility should be emphasized. This study proposes an optimized 2SFCA by introducing a Gaussian distance decay function, establishing a multilevel search radius, considering supply and demand-side competition effects, and using real-time traffic big data. Our methodological framework simultaneously considers differences among various types of public housing, hospitals with different service capacities, and diverse travel modes. This provides a new research perspective for a comprehensive and thorough understanding of the equal accessibility of basic public services.https://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.003824healthcare facilitiesaffordable housingaccessibility2sfca"transportation+"transport modesshenzhen
spellingShingle Hu Lirong
He Shenjing
Su Shiliang
Accessibility of Healthcare Resources to Public Housing in Shenzhen, China: Indirect Map Service and Optimized Two-Step Floating Catchment Area Method
Redai dili
healthcare facilities
affordable housing
accessibility
2sfca
"transportation+"
transport modes
shenzhen
title Accessibility of Healthcare Resources to Public Housing in Shenzhen, China: Indirect Map Service and Optimized Two-Step Floating Catchment Area Method
title_full Accessibility of Healthcare Resources to Public Housing in Shenzhen, China: Indirect Map Service and Optimized Two-Step Floating Catchment Area Method
title_fullStr Accessibility of Healthcare Resources to Public Housing in Shenzhen, China: Indirect Map Service and Optimized Two-Step Floating Catchment Area Method
title_full_unstemmed Accessibility of Healthcare Resources to Public Housing in Shenzhen, China: Indirect Map Service and Optimized Two-Step Floating Catchment Area Method
title_short Accessibility of Healthcare Resources to Public Housing in Shenzhen, China: Indirect Map Service and Optimized Two-Step Floating Catchment Area Method
title_sort accessibility of healthcare resources to public housing in shenzhen china indirect map service and optimized two step floating catchment area method
topic healthcare facilities
affordable housing
accessibility
2sfca
"transportation+"
transport modes
shenzhen
url https://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.003824
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AT heshenjing accessibilityofhealthcareresourcestopublichousinginshenzhenchinaindirectmapserviceandoptimizedtwostepfloatingcatchmentareamethod
AT sushiliang accessibilityofhealthcareresourcestopublichousinginshenzhenchinaindirectmapserviceandoptimizedtwostepfloatingcatchmentareamethod