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引用次数: 0
摘要
医疗服务的平等性一直是研究人员和政策制定者关注的焦点。最大可达性平等(MAE)模型是一种广泛使用的位置分配模型,用于优化设施的可达性平等。然而,由于忽略了城市居民的多种交通方式选择,该模型可能会产生有偏差的结果。本研究结合多式联运两步浮动集水区(2SFCA)可达性模型,建立了最大多式联运可达性平等(MMAE)模型。该模型反映了城市的多式联运背景,旨在最大限度地实现多式联运无障碍。对深圳医疗设施的案例研究表明,所提出的 MMAE 模型能够显著改善多式联运可达性的平等性。然而,传统的单模式 MAE 模型会产生不平等的多模式可达性,在多模式环境下可能会产生有偏差的规划建议。研究结果凸显了 MMAE 模型与传统的单一模式 MAE 模型相比,在追求所有居民的平等可达性方面的优越性。MMAE 模型可以作为一种科学工具,支持在多模式环境下合理规划医疗设施或其他类型的公共设施。
A Maximal Multimodal Accessibility Equality Model to Optimize the Equality of Healthcare Services
The equality of healthcare services has been a focus among researchers and policymakers. The maximal accessibility equality (MAE) model is a widely used location-allocation model for the optimization of the accessibility equality of facilities. However, it might produce biased results due to the overlooking of multiple transport mode options for urban residents. This study develops a maximal multimodal accessibility equality (MMAE) model by incorporating the multimodal two-step floating catchment area (2SFCA) accessibility model. It reflects the multimodal context in cities and aims to maximize the equality of multimodal accessibility. A case study of healthcare facilities in Shenzhen demonstrates that the proposed MMAE model can significantly improve the equality of multimodal accessibility. However, the traditional single-modal MAE model generates unequal multimodal accessibility, which might yield biased planning recommendations in multimodal contexts. The findings highlight the superiority of the MMAE model against the traditional single-modal MAE model in terms of pursuing equal accessibility for all residents. The MMAE model can serve as a scientific tool to support the rational planning of healthcare facilities or other types of public facilities in multimodal contexts.
期刊介绍:
ISPRS International Journal of Geo-Information (ISSN 2220-9964) provides an advanced forum for the science and technology of geographic information. ISPRS International Journal of Geo-Information publishes regular research papers, reviews and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
The 2018 IJGI Outstanding Reviewer Award has been launched! This award acknowledge those who have generously dedicated their time to review manuscripts submitted to IJGI. See full details at http://www.mdpi.com/journal/ijgi/awards.