Revealed Preference Methods for Studying Bicycle Route Choice-A Systematic Review

One fundamental aspect of promoting utilitarian bicycle use involves making modifications to the built environment to improve the safety, efficiency and enjoyability of cycling. Revealed preference data on bicycle route choice can assist greatly in understanding the actual behaviour of a highly hete...

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Bibliographic Details
Published in:International journal of environmental research and public health 2018-03, Vol.15 (3), p.470
Main Author: Pritchard, Ray
Format: Article
Language:English
Subjects:
Air pollution
Bicycles
Bicycling
Cameras
Choice Behavior
Computer applications
Computer simulation
Computer vision
Data collection
Exercise
Geographic Information Systems
Grey literature
Humans
Identification methods
Infrastructure
Methods
Outdoor air quality
Preferences
Review
Route choice
Route selection
Smartphone
Smartphones
Studies
Travel
Urban areas
Urban environments
Virtual reality
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Summary:One fundamental aspect of promoting utilitarian bicycle use involves making modifications to the built environment to improve the safety, efficiency and enjoyability of cycling. Revealed preference data on bicycle route choice can assist greatly in understanding the actual behaviour of a highly heterogeneous group of users, which in turn assists the prioritisation of infrastructure or other built environment initiatives. This systematic review seeks to compare the relative strengths and weaknesses of the empirical approaches for evaluating whole journey route choices of bicyclists. Two electronic databases were systematically searched for a selection of keywords pertaining to bicycle and route choice. In total seven families of methods are identified: GPS devices, smartphone applications, crowdsourcing, participant-recalled routes, accompanied journeys, egocentric cameras and virtual reality. The study illustrates a trade-off in the quality of data obtainable and the average number of participants. Future additional methods could include dockless bikeshare, multiple camera solutions using computer vision and immersive bicycle simulator environments.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph15030470