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Int J Environ Res Public Health. 2018 Mar 7;15(3). pii: E470. doi: 10.3390/ijerph15030470.

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

Author information

1
Department of Architecture and Planning, Faculty of Architecture and Design, NTNU-Norwegian University of Science and Technology, 7491 Trondheim, Norway. raymond.pritchard@ntnu.no.

Abstract

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.

KEYWORDS:

bicycle; bicycle route choice; built environment; naturalistic; physical activity; revealed preference; route choice model

PMID:
29518991
PMCID:
PMC5877015
DOI:
10.3390/ijerph15030470
[Indexed for MEDLINE]
Free PMC Article

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