Measuring Accessibility of Healthcare Facilities for Populations with Multiple Transportation Modes Considering Residential Transportation Mode Choice
Accessibility research of healthcare facilities is developing towards multiple transportation modes (MTM), which are influenced by residential transportation choices and preferences. Due to differences in travel impact factors such as traffic conditions, origin location, distance to the destination,...
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doaj-690414fe6cba41c9add263882a71fac72020-11-25T03:13:13ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-06-01939439410.3390/ijgi9060394Measuring Accessibility of Healthcare Facilities for Populations with Multiple Transportation Modes Considering Residential Transportation Mode ChoiceXinxin Zhou0Zhaoyuan Yu1Linwang Yuan2Lei Wang3Changbin Wu4School of Geography, Nanjing Normal University, Nanjing, 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing, 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing, 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing, 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing, 210023, ChinaAccessibility research of healthcare facilities is developing towards multiple transportation modes (MTM), which are influenced by residential transportation choices and preferences. Due to differences in travel impact factors such as traffic conditions, origin location, distance to the destination, and economic cost, residents’ daily travel presents different residential transportation mode choices (RTMC). The purpose of our study was to measure the spatial accessibility of healthcare facilities based on MTM considering RTMC (MTM-RTMC). We selected the gravity two-step floating catchment area method (G2SFCA) as a fundamental model. Through the single transportation mode (STM), MTM, and MTM-RTMC, three aspects used to illustrate and redesign the G2SFCA, we obtained the MTM-RTMC G2SFCA model that integrates RTMC probabilities and the travel friction coefficient. We selected Nanjing as the experimental area, used route planning data of four modes (including driving, walking, public transportation, and bicycling) from a web mapping platform, and applied the three models to pediatric clinic services to measure accessibility. The results show that the MTM-RTMC mechanism is to make up for the traditional estimation of accessibility, which loses sight of the influence of residential transportation choices. The MTM-RTMC mechanism that provides a more realistic and reliable way can generalize to major accessibility models and offers preferable guidance for policymakers.https://www.mdpi.com/2220-9964/9/6/394spatial accessibilitymultiple transportation modesresidential transportation mode choiceweb mapsroute planning datahealthcare facility |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xinxin Zhou Zhaoyuan Yu Linwang Yuan Lei Wang Changbin Wu |
spellingShingle |
Xinxin Zhou Zhaoyuan Yu Linwang Yuan Lei Wang Changbin Wu Measuring Accessibility of Healthcare Facilities for Populations with Multiple Transportation Modes Considering Residential Transportation Mode Choice ISPRS International Journal of Geo-Information spatial accessibility multiple transportation modes residential transportation mode choice web maps route planning data healthcare facility |
author_facet |
Xinxin Zhou Zhaoyuan Yu Linwang Yuan Lei Wang Changbin Wu |
author_sort |
Xinxin Zhou |
title |
Measuring Accessibility of Healthcare Facilities for Populations with Multiple Transportation Modes Considering Residential Transportation Mode Choice |
title_short |
Measuring Accessibility of Healthcare Facilities for Populations with Multiple Transportation Modes Considering Residential Transportation Mode Choice |
title_full |
Measuring Accessibility of Healthcare Facilities for Populations with Multiple Transportation Modes Considering Residential Transportation Mode Choice |
title_fullStr |
Measuring Accessibility of Healthcare Facilities for Populations with Multiple Transportation Modes Considering Residential Transportation Mode Choice |
title_full_unstemmed |
Measuring Accessibility of Healthcare Facilities for Populations with Multiple Transportation Modes Considering Residential Transportation Mode Choice |
title_sort |
measuring accessibility of healthcare facilities for populations with multiple transportation modes considering residential transportation mode choice |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2020-06-01 |
description |
Accessibility research of healthcare facilities is developing towards multiple transportation modes (MTM), which are influenced by residential transportation choices and preferences. Due to differences in travel impact factors such as traffic conditions, origin location, distance to the destination, and economic cost, residents’ daily travel presents different residential transportation mode choices (RTMC). The purpose of our study was to measure the spatial accessibility of healthcare facilities based on MTM considering RTMC (MTM-RTMC). We selected the gravity two-step floating catchment area method (G2SFCA) as a fundamental model. Through the single transportation mode (STM), MTM, and MTM-RTMC, three aspects used to illustrate and redesign the G2SFCA, we obtained the MTM-RTMC G2SFCA model that integrates RTMC probabilities and the travel friction coefficient. We selected Nanjing as the experimental area, used route planning data of four modes (including driving, walking, public transportation, and bicycling) from a web mapping platform, and applied the three models to pediatric clinic services to measure accessibility. The results show that the MTM-RTMC mechanism is to make up for the traditional estimation of accessibility, which loses sight of the influence of residential transportation choices. The MTM-RTMC mechanism that provides a more realistic and reliable way can generalize to major accessibility models and offers preferable guidance for policymakers. |
topic |
spatial accessibility multiple transportation modes residential transportation mode choice web maps route planning data healthcare facility |
url |
https://www.mdpi.com/2220-9964/9/6/394 |
work_keys_str_mv |
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