Health Care Accessibility Analysis Considering Behavioral Preferences for Hospital Choice
Research on the potential accessibility of medical services has made great progress, but there is a large gap between the analysis results and the actual feelings of residents. With the refinement of urban management, the need for actual accessibility calculations reflecting the current status of me...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/13/6822 |
| _version_ | 1797480773793611776 |
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| author | Qinghua Qiao Ying Zhang Jia Liu Hao Xu Lin Gan |
| author_facet | Qinghua Qiao Ying Zhang Jia Liu Hao Xu Lin Gan |
| author_sort | Qinghua Qiao |
| collection | DOAJ |
| description | Research on the potential accessibility of medical services has made great progress, but there is a large gap between the analysis results and the actual feelings of residents. With the refinement of urban management, the need for actual accessibility calculations reflecting the current status of medical service levels is becoming stronger. In modern society, as people work and live at an increasingly fast pace, people increasingly focus on time saving. However, in addition to travel time and distance, personal perceptions of medical facilities and access habits also influence residents’ choice of specific hospitals for medical treatment. With the combined effect of these factors, the actual status of accessibility of medical facility services is formed. In order to improve estimates of the actual accessibility and narrow the gap with residents’ subjective perceptions, this study leverages realistic data, such as real-time navigation prediction data that approximates residents’ actual travel time to hospitals and information on residents’ subjective behaviors in choosing specific hospitals for medical treatment. Finally, a new approach is proposed to further improve the existing Gaussian two-step floating catchment area (Ga2SFCA) method by fully respecting the important effects of distance cost and time cost, and combining them by using a weighted mean. |
| first_indexed | 2024-03-09T22:04:55Z |
| format | Article |
| id | doaj.art-cf5b400faabe4c109799bcb036f095f9 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:04:55Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-cf5b400faabe4c109799bcb036f095f92023-11-23T19:43:14ZengMDPI AGApplied Sciences2076-34172022-07-011213682210.3390/app12136822Health Care Accessibility Analysis Considering Behavioral Preferences for Hospital ChoiceQinghua Qiao0Ying Zhang1Jia Liu2Hao Xu3Lin Gan4Natural Resources Survey and Monitoring Research Centre, Chinese Academy of Surveying and Mapping, Beijing 100830, ChinaNatural Resources Survey and Monitoring Research Centre, Chinese Academy of Surveying and Mapping, Beijing 100830, ChinaNatural Resources Survey and Monitoring Research Centre, Chinese Academy of Surveying and Mapping, Beijing 100830, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, ChinaResearch on the potential accessibility of medical services has made great progress, but there is a large gap between the analysis results and the actual feelings of residents. With the refinement of urban management, the need for actual accessibility calculations reflecting the current status of medical service levels is becoming stronger. In modern society, as people work and live at an increasingly fast pace, people increasingly focus on time saving. However, in addition to travel time and distance, personal perceptions of medical facilities and access habits also influence residents’ choice of specific hospitals for medical treatment. With the combined effect of these factors, the actual status of accessibility of medical facility services is formed. In order to improve estimates of the actual accessibility and narrow the gap with residents’ subjective perceptions, this study leverages realistic data, such as real-time navigation prediction data that approximates residents’ actual travel time to hospitals and information on residents’ subjective behaviors in choosing specific hospitals for medical treatment. Finally, a new approach is proposed to further improve the existing Gaussian two-step floating catchment area (Ga2SFCA) method by fully respecting the important effects of distance cost and time cost, and combining them by using a weighted mean.https://www.mdpi.com/2076-3417/12/13/6822accessibilitymedical servicesbehavioral preferencetwo-step floating catchment area |
| spellingShingle | Qinghua Qiao Ying Zhang Jia Liu Hao Xu Lin Gan Health Care Accessibility Analysis Considering Behavioral Preferences for Hospital Choice Applied Sciences accessibility medical services behavioral preference two-step floating catchment area |
| title | Health Care Accessibility Analysis Considering Behavioral Preferences for Hospital Choice |
| title_full | Health Care Accessibility Analysis Considering Behavioral Preferences for Hospital Choice |
| title_fullStr | Health Care Accessibility Analysis Considering Behavioral Preferences for Hospital Choice |
| title_full_unstemmed | Health Care Accessibility Analysis Considering Behavioral Preferences for Hospital Choice |
| title_short | Health Care Accessibility Analysis Considering Behavioral Preferences for Hospital Choice |
| title_sort | health care accessibility analysis considering behavioral preferences for hospital choice |
| topic | accessibility medical services behavioral preference two-step floating catchment area |
| url | https://www.mdpi.com/2076-3417/12/13/6822 |
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