The built environment-mode choice nexus: A method for making international comparisons using open spatial data
Topics: Transportation Geography
, Spatial Analysis & Modeling
, Urban and Regional Planning
Keywords: mode choice, built environment, transportation, international, open spatial data
Session Type: Virtual Paper Abstract
Day: Monday
Session Start / End Time: 2/28/2022 09:40 AM (Eastern Time (US & Canada)) - 2/28/2022 11:00 AM (Eastern Time (US & Canada))
Room: Virtual 37
Authors:
Kevin Credit, Maynooth University
Gustavo Dias, University of Chicago
Brenda Li, University of Chicago
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Abstract
Given the numerous negative environmental, social, and health-related externalities of auto-oriented transportation systems, a large body of interdisciplinary research has been devoted to better understanding the role that infrastructure and the built environment play in structuring transportation mode choice decisions. International comparisons of transportation mode trade-offs offer a particularly rich source of information to study in this regard because of the wide range of different infrastructure investment choices and development patterns pursued by cities across the world. However, it is currently difficult to compare the built environment-mode choice relationship in an international context. Most existing studies of mode choice rely on expensive personal travel surveys or diaries that are often not representative at small spatial scales and are not comparable internationally. Supporting datasets on the built environment and other travel-related determinants are also often stubbornly difficult to collate and compare. To overcome these difficulties, this paper expands on a new method to dynamically model urban passenger mode trade-offs at fine-grained spatial and temporal scales using open source routing data from OpenStreetMap (OSM) and the General Transit Feed Specification (GTFS) in an international context. This approach combines open data from a variety of international sources to calculate cost-distance trade-offs by mode for several large regions in North America, Europe, and Asia. The unique mode choice profiles for each region are then linked to data on residential location and the built environment to better understand the role that infrastructure investment and the built environment play in transportation mode choice.
The built environment-mode choice nexus: A method for making international comparisons using open spatial data
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Virtual Paper Abstract
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