Xinghua Li , Ziqi Yang , Yuntao Guo , Wei Xu , Xinwu Qian
{"title":"Factoring in temporal variations of public transit-based healthcare accessibility and equity","authors":"Xinghua Li , Ziqi Yang , Yuntao Guo , Wei Xu , Xinwu Qian","doi":"10.1016/j.ijtst.2024.01.001","DOIUrl":null,"url":null,"abstract":"<div><p>Access to healthcare services using public transportation (PT-based healthcare accessibility) is a crucial aspect in achieving healthcare equity as it affects individuals’ ability to receive healthcare. Previous research has focused on the spatial features of healthcare accessibility. However, less attention has been given to its temporal characteristics, which can be influenced by transit schedules, multimodal connectivity, congestion, and other factors. This study proposes a framework to better understand the impacts of temporally varying PT-based healthcare accessibility on healthcare equity. A case study of Shanghai, China is used to illustrate the temporal variation of healthcare accessibility, with a focus on hourly inter- and intra-regional disparities. These disparities are captured using the Gini coefficient and Theil index. Additionally, the study introduces bivariate local Moran’s I to identify healthcare shortage areas and evaluate the spatial autocorrelation between population density and healthcare accessibility. The findings of this study reveal that the accessibility to healthcare services experiences significant fluctuations throughout the day, leading to temporal variations in healthcare equity. Subway service quality contributes more to temporal variations than bus service quality. The lowest point of such equity is reached when PT operates at its full capacity. On a spatial level, individuals residing in newly developed regions, which surround the historical urban core or recently planned city subcenters, tend to experience decreased accessibility to healthcare via public transportation. Consequently, it results in a heightened reliance on motorized transportation in these areas. These findings provide insights that can inform the design of PT accessibility-based strategies, healthcare improvement plans and inclusive housing policies, to address healthcare equity issues in metropolitan areas. By considering both spatial and temporal factors, we can better understand the complex relationships between transportation and healthcare accessibility to promote equitable access to healthcare services and foster social equity.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2046043024000017/pdfft?md5=381860e1ed91d1b3d8e4a87b41fcaa56&pid=1-s2.0-S2046043024000017-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Transportation Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2046043024000017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0
Abstract
Access to healthcare services using public transportation (PT-based healthcare accessibility) is a crucial aspect in achieving healthcare equity as it affects individuals’ ability to receive healthcare. Previous research has focused on the spatial features of healthcare accessibility. However, less attention has been given to its temporal characteristics, which can be influenced by transit schedules, multimodal connectivity, congestion, and other factors. This study proposes a framework to better understand the impacts of temporally varying PT-based healthcare accessibility on healthcare equity. A case study of Shanghai, China is used to illustrate the temporal variation of healthcare accessibility, with a focus on hourly inter- and intra-regional disparities. These disparities are captured using the Gini coefficient and Theil index. Additionally, the study introduces bivariate local Moran’s I to identify healthcare shortage areas and evaluate the spatial autocorrelation between population density and healthcare accessibility. The findings of this study reveal that the accessibility to healthcare services experiences significant fluctuations throughout the day, leading to temporal variations in healthcare equity. Subway service quality contributes more to temporal variations than bus service quality. The lowest point of such equity is reached when PT operates at its full capacity. On a spatial level, individuals residing in newly developed regions, which surround the historical urban core or recently planned city subcenters, tend to experience decreased accessibility to healthcare via public transportation. Consequently, it results in a heightened reliance on motorized transportation in these areas. These findings provide insights that can inform the design of PT accessibility-based strategies, healthcare improvement plans and inclusive housing policies, to address healthcare equity issues in metropolitan areas. By considering both spatial and temporal factors, we can better understand the complex relationships between transportation and healthcare accessibility to promote equitable access to healthcare services and foster social equity.
使用公共交通获取医疗服务(基于公共交通的医疗无障碍)是实现医疗公平的一个重要方面,因为它影响到个人接受医疗服务的能力。以往的研究主要集中于医疗服务可及性的空间特征。然而,人们对其时间特征关注较少,因为时间特征会受到公交时刻表、多式联运、拥堵等因素的影响。本研究提出了一个框架,以更好地理解基于时间变化的公共交通医疗可达性对医疗公平的影响。本研究以中国上海为案例,说明了医疗可及性的时间变化,重点关注区域间和区域内每小时的差异。这些差异通过基尼系数和 Theil 指数来反映。此外,该研究还引入了双变量地方莫兰指数 I 来识别医疗服务短缺地区,并评估人口密度与医疗服务可及性之间的空间自相关性。研究结果表明,医疗服务的可及性在一天中会出现明显的波动,从而导致医疗服务公平性在时间上的变化。与公交服务质量相比,地铁服务质量对时间变化的影响更大。当公共交通满负荷运行时,这种公平性达到最低点。在空间层面上,居住在新开发区域的居民,其周围是历史悠久的城市核心或新近规划的城市副中心,通过公共交通获得医疗服务的便利性往往会下降。因此,这些地区对机动车交通的依赖性更高。这些发现为设计基于公共交通可达性的战略、医疗保健改善计划和包容性住房政策提供了启示,以解决大都市地区的医疗保健公平问题。通过考虑空间和时间因素,我们可以更好地理解交通与医疗保健可达性之间的复杂关系,从而促进医疗保健服务的公平获取,促进社会公平。