When buildings become barriers: assessing the impact of building height on the equality of emergency medical services accessibility-a dual-trip study in Wuhan, China.

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Weicong Luo, Yuanyuan Zhu, Zihan Yang, Fei Wang, Yue Wang
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引用次数: 0

Abstract

Background: As urbanization accelerates, the height of urban buildings continues to rise, which may influence the provision of Emergency Medical Services (EMS). However, a current limitation is that related studies often neglect the impact of spatial variations in building height on EMS accessibility equality. Most scholars have focused primarily on EMS road travel-either the Departure Road Trip (DRT) or the Transport Trip (TT)-while overlooking the effects of building height on the in-building EMS trip, known as the Patient Access Trip (PAT).

Methods: EMS accessibility was measured using a proximity-based method and a Gaussian two-step floating catchment area (G-2SFCA) model under two scenarios: Scenario 1 considered only DRT, whereas Scenario 2 incorporated both DRT and PAT influenced by building heights. DRT travel times were simulated using Baidu Map's Application Programming Interface (API), and PAT times were calculated based on building elevator/stairs characteristics. Accessibility equality was assessed using multi-ring buffer analysis, Lorenz curves, and Gini coefficients.

Results: According to the empirical study in Wuhan, China, first, the spatial variations in building height was evident across the city. The building heights in city centre and sub-centres are generally taller compared to those in suburban areas. Second, the variations in building height can obviously affect EMS accessibility. However, the impact of building height on EMS accessibility varies across different regions. The effect is particularly pronounced in sub-centres located around 14 km from the city centre, whereas it is relatively limited in suburban areas. Third, the incorporation of spatial disparities in building height into EMS accessibility modeling reveals increased inequality in EMS provision across the city.

Conclusion: Spatial disparities in building heights across a city significantly influence EMS accessibility inequality. Given the widespread differences in building heights worldwide, this study provides valuable findings for healthcare policymakers to improve EMS systems.

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当建筑物成为障碍:评估建筑物高度对急诊医疗服务可及性平等性的影响——中国武汉的双行程研究。
背景:随着城市化进程的加快,城市建筑的高度不断上升,这可能会影响紧急医疗服务(EMS)的提供。然而,目前相关研究的一个局限是往往忽略了建筑高度的空间变化对EMS可达性平等的影响。大多数学者主要关注EMS的道路旅行——出发道路旅行(DRT)或运输旅行(TT)——而忽略了建筑物高度对建筑物内EMS旅行的影响,即患者访问旅行(PAT)。方法:采用基于邻近度的方法和高斯两步浮动集水区(G-2SFCA)模型在两种情景下测量EMS可达性:情景1仅考虑DRT,而情景2同时考虑受建筑高度影响的DRT和PAT。利用百度Map的应用程序编程接口(API)模拟DRT行程时间,并根据建筑物电梯/楼梯特征计算PAT时间。利用多环缓冲分析、Lorenz曲线和基尼系数对可达性公平性进行评价。结果:根据武汉市的实证研究,第一,城市建筑高度的空间差异明显;城市中心和副中心的建筑高度普遍高于郊区。其次,建筑高度的变化对EMS可达性有明显影响。然而,建筑高度对EMS可达性的影响在不同地区存在差异。这种影响在距离市中心约14公里的次级中心尤为明显,而在郊区则相对有限。第三,将建筑高度的空间差异纳入EMS可达性模型,揭示了整个城市EMS提供的不平等加剧。结论:城市建筑高度空间差异对EMS可达性差异有显著影响。鉴于世界范围内建筑高度的普遍差异,本研究为医疗保健决策者改善EMS系统提供了有价值的发现。
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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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