Potential Change of Spatial Accessibility to Health Services With the Opening of Private Streets in Shenzhen, China

The spatial accessibility to urban health services is a key issue for urban environment and public health studies, especially among developing countries with explosive population growth and limited urban land space. Chinese cities have experienced rapid growth and obtained remarkable economic achievements in the last three decades, while this also brings out numerous urban planning problems, e.g., spatial access disparities to urban services. For this, the Chinese government worked out a new policy, community opening policy, for the improvement of urban accessibility through opening the private intra-community streets and increasing the spatial density of public street network. Although this policy has not been implemented yet, this paper aims at predicting the extent to which the community opening policy increases the spatial accessibility to health services at different places. This paper simulates the new system of street network and compares the results of the spatial accessibility of health services within the current and potential (planned) network systems. More specifically, the Delaunay triangulation skeleton model is constructed from geographic information system building footprints data for generating intra-community street segments; then, with adding these private streets to the existing inter-community street network, the two-step floating catchment area method based on the network path distance is employed to assess spatial accessibility to health services under both the current and potential urban contexts of Shenzhen, China. The results show that the impacts of the community opening policy on spatial accessibility of health services have spatial variations, and the most positively and negatively affected places are gathered together in the center area of the city.

[1]  M. Kwan Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework , 2010 .

[2]  Wenhao Yu,et al.  Assessing the implications of the recent community opening policy on the street centrality in China: A GIS-based method and case study , 2017 .

[3]  Fahui Wang Quantitative methods and applications in GIS , 2006 .

[4]  Yi Qi,et al.  An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. , 2009, Health & place.

[5]  Ajit Pratap Singh,et al.  Quantifying Accessibility to Health Care Using Two-step Floating Catchment Area Method (2SFCA): A Case Study in Rajasthan , 2016 .

[6]  Tijs Neutens,et al.  Accessibility, equity and health care: review and research directions for transport geographers , 2015 .

[7]  Matthew Richard McGrail,et al.  Measuring spatial accessibility to primary care in rural areas: Improving the effectiveness of the two-step floating catchment area method , 2009 .

[8]  John Radke,et al.  Spatial Decompositions, Modeling and Mapping Service Regions to Predict Access to Social Programs , 2000, Ann. GIS.

[9]  Tinghua Ai,et al.  Spatial co-location pattern mining of facility points-of-interest improved by network neighborhood and distance decay effects , 2017, Int. J. Geogr. Inf. Sci..

[10]  Fahui Wang,et al.  Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region , 2003, Environment and planning. B, Planning & design.

[11]  A. Joseph,et al.  Measuring potential physical accessibility to general practitioners in rural areas: a method and case study. , 1982, Social science & medicine.

[12]  Philippe Apparicio,et al.  Optimizing the two-step floating catchment area method for measuring spatial accessibility to medical clinics in Montreal , 2011, BMC health services research.

[13]  Gary Higgs,et al.  Multi-modal two-step floating catchment area analysis of primary health care accessibility. , 2016, Health & place.

[14]  Tinghua Ai,et al.  The analysis and measurement of building patterns using texton co-occurrence matrices , 2016, Int. J. Geogr. Inf. Sci..

[15]  Ann Forsyth,et al.  The effects of neighborhood density and street connectivity on walking behavior: the Twin Cities walking study , 2007, Epidemiologic perspectives & innovations : EP+I.

[16]  Fahui Wang,et al.  Late-Stage Breast Cancer Diagnosis and Health Care Access in Illinois , 2008, The Professional geographer : the journal of the Association of American Geographers.

[17]  H. Miller,et al.  Geographic Information Systems for Transportation: Principles and Applications , 2001 .

[18]  Bin Zou,et al.  A three-step floating catchment area method for analyzing spatial access to health services , 2012, Int. J. Geogr. Inf. Sci..

[19]  Randall Crane,et al.  On Form versus Function: Will the New Urbanism Reduce Traffic, or Increase It? , 1995 .

[20]  Paul L. Delamater,et al.  Spatial accessibility in suboptimally configured health care systems: a modified two-step floating catchment area (M2SFCA) metric. , 2013, Health & place.

[21]  Le Hoang Son,et al.  Spatial interaction - modification model and applications to geo-demographic analysis , 2013, Knowl. Based Syst..

[22]  Richard Shearmur,et al.  Comparing alternative approaches to measuring the geographical accessibility of urban health services: Distance types and aggregation-error issues , 2008, International journal of health geographics.

[23]  Tijs Neutens,et al.  Equity of Urban Service Delivery: A Comparison of Different Accessibility Measures , 2010 .

[24]  Chris Webster,et al.  Ungating the city: A permeability perspective , 2018 .

[25]  J. Humphreys,et al.  A new index of access to primary care services in rural areas , 2009, Australian and New Zealand journal of public health.

[26]  M. Guagliardo,et al.  International Journal of Health Geographics Open Access Spatial Accessibility of Primary Care: Concepts, Methods and Challenges , 2022 .

[27]  R. Andersen,et al.  A framework for the study of access to medical care. , 1974, Health services research.

[28]  Wei Luo,et al.  Using a GIS-based floating catchment method to assess areas with shortage of physicians. , 2004, Health & place.

[29]  Nadine Eberhardt,et al.  The History Of The City , 2016 .

[30]  Hwasoo Yeo,et al.  Enhancing healthcare accessibility measurements using GIS: A case study in Seoul, Korea , 2018, PloS one.

[31]  Simon Kingham,et al.  The approaches to measuring the potential spatial access to urban health services revisited: distance types and aggregation-error issues , 2017, International Journal of Health Geographics.

[32]  Gary Higgs,et al.  Using floating catchment analysis (FCA) techniques to examine intra-urban variations in accessibility to public transport opportunities: the example of Cardiff, Wales , 2012 .

[33]  B. Giles-Corti,et al.  School site and the potential to walk to school: the impact of street connectivity and traffic exposure in school neighborhoods. , 2011, Health & place.

[34]  Christopher B. Jones,et al.  Map Generalization with a Triangulated Data Structure , 2013 .

[35]  D. Dai,et al.  Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit. , 2010, Health & place.

[36]  Gary Higgs,et al.  Measuring Potential Access to Primary Healthcare Services: The Influence of Alternative Spatial Representations of Population , 2006 .