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A flexible framework for measuring accessibility with destination bundling
Institution:1. College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China;2. Faculty of Science and Technology, Lancaster University, Lancaster LA1 4YR, UK;3. Geography and Environment, University of Southampton, Highfield, Southampton SO17 1BJ, UK;4. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Datun Road, Beijing 100101, China;1. School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;2. Department of Civil Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada;3. College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China;1. Department of Civil Engineering, Ryerson University, Toronto, Canada;2. Institute of RS & GIS, Peking University, Beijing, China;1. School of Economics and Management, Tongji University, Shanghai 200092, China;2. Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, China;3. SDU Life Cycle Engineering, Department of Chemical Engineering, Biotechnology, and Environmental Technology, University of Southern Denmark (SDU), 5230 Odense, Denmark;4. Tongji University Sustainable Development and New-Type Urbanization Think Tank, Tongji University, Shanghai 200092, China;5. Xiamen Key Lab of Urban Metabolism, Xiamen, 361021, China
Abstract:A transit system's usefulness is governed by the freedom it provides to those who use it. This freedom, typically quantified as accessibility, is proportional to the amount and variety of destinations available to a potential transit user. Often, transit systems are designed with the commuter in mind; employment is a typical stand-in measure for all destinations when measuring accessibility in a city. This paper proposes a framework to “bundle” destination types into a more comprehensive profile of accessibility. The framework is flexible enough to adapt to local conditions and data availability, and provides a potential planner with the ability to tell a more nuanced story of transit accessibility in a city. Using population, employment, and crowd-sourced destination data in Calgary, Canada, we perform a comparison of destination bundling approach to find that the relative level of access to destinations varies greatly with the bundle of destinations used. We also analyze correlations between quality of access to destinations, suggesting that certain destinations can act as substitutes for others, and that using destinations with low correlations in their quality of access increases the results' sensitivity to the transit network. As this approach uses open data sources available in most jurisdictions, it can be easily applied to different urban areas, destination sets, and accessibility measures to tell a more comprehensive story of transit accessibility in cities.
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