Understanding temporal change of spatial accessibility to healthcare: An analytic framework for local factor impacts

Yang, Jue; Mao, Liang

doi:10.1016/j.healthplace.2018.03.005

Cited by 25 publications

(14 citation statements)

References 17 publications

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“…In the second group of dynamic spatial accessibility studies, the dynamics of temporal changes in spatial accessibility were centered (Figure 3). Whereas in a few studies the temporal differences (i.e., over the years) of spatial accessibility measures were investigated [56][57][58], in the majority of them, researchers took advantage of the enhanced granularity of space and time, examining how spatial accessibility changes over 24 h [12,15,59]. As the inputs of spatial accessibility measurements (i.e., supply, demand, and mobility) vary over time [60], temporal dynamics were populated from input attributes, such as operating hours, time-variant distribution of floating populations in the studies, and time-variant traffic conditions.…”

Section: Temporal Changes In Spatial Accessibilitymentioning

confidence: 99%

A Review of Recent Spatial Accessibility Studies That Benefitted from Advanced Geospatial Information: Multimodal Transportation and Spatiotemporal Disaggregation

Park

Goldberg

2021

IJGI

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Spatial accessibility provides significant policy implications, describing the spatial disparity of access and supporting the decision-making process for placing additional infrastructure at adequate locations. Several previous reviews have covered spatial accessibility literature, focusing on empirical findings, distance decay functions, and threshold travel times. However, researchers have underexamined how spatial accessibility studies benefitted from the recently enhanced availability of dynamic variables, such as various travel times via different transportation modes and the finer temporal granularity of geospatial data in these studies. Therefore, in our review, we investigated methodological advancements in place-based accessibility measures and scrutinized two recent trends in spatial accessibility studies: multimodal spatial accessibility and temporal changes in spatial accessibility. Based on the critical review, we propose two research agendas: improving the accuracy of measurements with dynamic variable implementation and furnishing policy implications granted from the enhanced accuracy. These agendas particularly call for the action of geographers on the full implementation of dynamic variables and the strong linkage between accessibility and policymaking.

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Section: Temporal Changes In Spatial Accessibilitymentioning

confidence: 99%

A Review of Recent Spatial Accessibility Studies That Benefitted from Advanced Geospatial Information: Multimodal Transportation and Spatiotemporal Disaggregation

Park

Goldberg

2021

IJGI

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“…21 To the best of our knowledge, only one existing study has analyzed the relative contribution made by each one of the 3 local factors to the changes in spatial access to health care, which employed chain substitution method to measure local factor impacts on spatial accessibility of physicians in Florida, USA. 20 Given large disparities embedded in the patterns and improvements of spatial access to health care between developed countries and less developed countries, 22 it's necessary and urgent to add new evidence into this field via conducting relevant research in less developed countries. As a remarkable milestone achieved by Targeted Poverty Reduction Project over the past few years, the significant improvements in spatial access to health care served as an ideal context for us to explore the relative contributions of the 3 determinants to the changes in spatial access to health care in a rural county.…”

Section: Introductionmentioning

confidence: 99%

The Contributions of Population Distribution, Healthcare Resourcing, and Transportation Infrastructure to Spatial Accessibility of Health Care

Chen

Lan

et al. 2023

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Population demand, healthcare resourcing, and transportation linkage are considered as major determinants of spatial access to health care. Temporal changes of the 3 determinants would result in gain or loss of spatial access to health care. As a remarkable milestone achieved by Targeted Poverty Reduction Project launched in China, the significant improvements in spatial access to health care served as an ideal context for investigating the relative contributions of these 3 determinants to the changes in spatial access to health care in a rural county. A national level poverty-stricken county, Chishui county from Guizhou province, China, was chosen as our study area. The enhanced two-step floating catchment area model and the chain substitution method were employed for analysis. The relative contributions of the 3 determinants demonstrated variations with villages. The relative contributions of healthcare resourcing were positive in all villages as indicated by sharp increases in healthcare resources. Population changes and transportation infrastructure expansion had both negative and positive effects on spatial access to health care for different villages. Decisionmakers should take into account the duration of travel time spent between where people live, where transport hubs are located, and where healthcare services are delivered in the process of formulating policies toward rural healthcare planning. For villages with poorly-established infrastructure, the optimization of population distribution and healthcare resourcing should be considered as the priority. A stronger marginal effect would be induced by transportation infrastructure expansion with increased spatial accessibility. This study provides empirical evidences to inform healthcare planning in low- and middle-income countries.

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“…In the field of accessibility and equity research, based on the accessibility theory [ 12 – 14 ], scholars mostly use the two-step floating catchment area method, the Gaussian two-step floating catchment area method, the accessibility of gravity coefficient, the improved potential model, and other methods to measure the spatial accessibility of medical service facilities [ 15 – 18 ]. And from the aspects of method improvement [ 19 – 21 ], supply evaluation [ 22 , 23 ], transportation modes [ 24 ], spatial effects [ 25 ], influencing factors [ 26 ], and other multiple dimensions to expand the connotation and extension of medical accessibility research. In supply and demand matching research, scholars have divided the medical service pattern into supply and demand patterns based on the theory of supply and demand [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Supply-demand matching of medical services at a city level under the background of hierarchical diagnosis and treatment - based on Didi Chuxing Data in Haikou, China

Shao

Jin

et al. 2022

BMC Health Serv Res

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Background Implementation of the Healthy China Strategy and the hierarchical diagnosis and treatment system has injected new vitality into medical services. Given the insufficient supply of medical services and increasing demand for medical treatment, exploring the supply-demand pattern of medical services has become an urgent theoretical and practical problem to be solved. The equity of healthcare facilities has received widespread attention, but due to limited data, there is little research on the supply-demand pattern of medical services. This study focuses on evaluating the supply-demand matching pattern of medical services at different levels in Haikou City with big geographic data and promoting the realization of a balance between medical supply and demand. Methods This study utilizes spatial data of medical institutions, Didi Chuxing Data, and population density data. Firstly, use the two-step floating catchment area method and GIS spatial analysis to explore characteristics of the supply-demand patterns of medical services at different levels in Haikou. Secondly, we mine residents’ demand for medical treatment based on Didi Chuxing Data. Then combined with population density data, divide supply-demand matching of medical institutions into four types. Finally, propose optimization strategies for the problems. Results The accessibility pattern of high-level medical institutions in Haikou presents high in the north and low in the south. The accessibility pattern of low-level medical institutions is the opposite. High-level medical institutions have a strong demand for medical treatment, which is less hampered by distance. The healthcare demand of low-level medical institutions is small, and they mainly are medium- and short-distance medical travel. The types of medical services at different levels are mainly “low supply - low demand” and “high supply - low demand” types. Conclusions Medical services at different levels in Haikou are mainly in supply-demand imbalance. Therefore, we put forward optimization strategies to promote the equity of primary medical services, such as propelling the establishment and improvement of the hierarchical diagnosis and treatment system, building a new model of medical and health service supply, and strengthening balanced coverage of primary medical institutions. The mining of big geographic data is beneficial to alleviate the mismatch between medical supply and demand, although the data and methods need to be improved.

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Understanding temporal change of spatial accessibility to healthcare: An analytic framework for local factor impacts

Cited by 25 publications

References 17 publications

A Review of Recent Spatial Accessibility Studies That Benefitted from Advanced Geospatial Information: Multimodal Transportation and Spatiotemporal Disaggregation

A Review of Recent Spatial Accessibility Studies That Benefitted from Advanced Geospatial Information: Multimodal Transportation and Spatiotemporal Disaggregation

The Contributions of Population Distribution, Healthcare Resourcing, and Transportation Infrastructure to Spatial Accessibility of Health Care

Supply-demand matching of medical services at a city level under the background of hierarchical diagnosis and treatment - based on Didi Chuxing Data in Haikou, China

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