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Measuring accessibility to grocery stores using radiation model and survival analysis

机译:使用辐射模型和生存分析测量杂货店的可访问性

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Measuring spatial accessibility to grocery stores and identifying food deserts have been of interest to planners and policy makers. However, measuring and quantifying accessibility in a way that relates to actual travel behaviors and preferences are challenging. This study aims to promote an existing radiation model by incorporating different transportation modes and time use diaries to provide a more realistic estimation of accessibility. We proposed a survival analysis method, such as the Cox proportional hazard model, as a novel approach to develop a cost decay function based on time use diaries. A multinomial logit model was applied to estimate the portion of people walking, traveling by car, and traveling by bus. A case study of grocery stores in Travis County, Texas, is used to illustrate the approach. The results indicate that for walking accessibility to grocery stores, the majority of zip codes fall into the very low, low, and moderate accessibility classes. Moreover, in most western zip codes transit accessibility to grocery stores is found to be very low. However, the spatial accessibility for some of such zip codes has been enhanced because of the presence of cars.
机译:针对杂货店和识别食物沙漠的空间可访问性对规划者和政策制定者感到兴趣。然而,以与实际旅行行为和偏好有关的方式测量和量化可访问性是具有挑战性的。本研究旨在通过掺入不同的运输模式和时间使用日记来推广现有的辐射模型,以提供更现实的可访问性估算。我们提出了一种生存分析方法,例如Cox比例危险模型,作为基于时间使用日记的开发成本衰减功能的新方法。应用多项式Lo​​git模型来估计人们走路,乘汽车旅行和乘公共汽车旅行。德克萨斯州特拉斯县杂货店杂货店的案例研究用于说明这种方法。结果表明,对于杂货店的步行可访问性,大多数邮政编码均落入非常低,低和中等的可访问性等级。此外,在大多数西部邮政编码中,发现对杂货店的交通可访问性非常低。然而,由于车辆的存在,一些这种邮政编码的空间可访问性已经增强。

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