文章基本信息

标题：Calculating place-based transit accessibility: Methods, tools and algorithmic dependence
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作者：Christopher Higgins ; Matthew Palm ; Amber DeJohn 等
期刊名称：Journal of Transport and Land Use
印刷版ISSN：1938-7849
出版年度：2022
卷号：15
期号：1
页码：95-116
DOI：10.5198/jtlu.2022.2021
语种：English
出版社：University of Minnesota * Department of Civil, Environmental, and Geo-Engineering
摘要：To capture the complex relationships between transportation and land use, researchers and practitioners are increasingly using placebased measures of transportation accessibility to support a broad range of planning goals. This research reviews the state-of-the-art in applied transportation accessibility measurement and performs a comparative evaluation of software tools for calculating accessibility by walking and public transit including ArcGIS Pro, Emme, R5R, and OpenTripPlanner using R and Python, among others. Using a case study of Toronto, we specify both origin-based and regional-scale analysis scenarios and find significant differences in computation time and calculated accessibilities. While the calculated travel time matrices are highly correlated across tools, each tool produces different results for the same origin-destination pair. Comparisons of the estimated accessibilities also reveal evidence of spatial clustering in the ways paths are calculated by some tools relative to others at different locations around the city. With the growing emphasis on accessibility-based planning, analysts should approach the calculation of accessibility with care and recognize the potential for algorithmic dependence in their calculated accessibility results.