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A barrier too far

Understanding the role of intersection crossing distance on bicycle rider behavior in Chicago

Bibliographic Data

ID21247514
AuthorsRohan L Aras (0000-0002-9674-2708, Stanford University), Nicholas T Ouellette (0000-0002-5172-0361, Stanford University), Rishee K Jain (0000-0002-0568-032X, Stanford University, corresponding author)
Year2023
Volume50
Issue8
Pages2118-2132
Publication date2023-10-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning B Urban Analytics and City Science (JOURNAL)
Journal identifiersISSN: 2399-8083 • E-ISSN: 2399-8091
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/23998083221147922
OpenAlexW4313656628
LanguageEN
Citations received1
References cited39

For a variety of environmental, health, and social reasons, there is a pressing need to reduce the automobile dependence of American cities. Bicycles are well suited to help achieve this goal. However, perceptions of rider safety present a large hindrance toward increased bicycle adoption. These perceptions are largely influenced by the design of our current road infrastructure, including the crossing distances of large intersections. In this paper, we examine the role of intersection crossing distances in modifying rider behavior through the construction of a novel dataset integrating street widths and probable trip routes from Chicago’s Divvy bikeshare system. We compare real trips to synthetic trips that are not influenced by the width of intersections and exploit behavior differences that result from the semi-dockless nature of the bikeshare system. Our analysis reveals that bikeshare riders do avoid large intersections in limited circumstances; however, these preferences appear to be heavily outweighed by the relative spatial positions of origins and destinations (i.e., the urban morphology of Chicago). Our results suggest that specific infrastructural investments such as protected intersections could prove feasible alternatives to reduce the perception and safety concerns associated with large road barriers and enhance the attractiveness of non-motorized mobility

Attractiveness · Business · Computer security · Destinations · Exploit · Geography · Perception · Tourism · Transport engineering · TRIPS architecture · Computer Science · Engineering · Psychology · Traffic and Road Safety · Urban Transport and Accessibility · Wildlife-Road Interactions and Conservation

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Citations per year0.33
Citation span2023 - 2023 (1)
Highly citedNo

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