Next Article in Journal
The NLS-Based Nonlinear Grey Multivariate Model for Forecasting Pollutant Emissions in China
Previous Article in Journal
Water Bacterial and Fungal Community Compositions Associated with Urban Lakes, Xi’an, China
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessReview
Int. J. Environ. Res. Public Health 2018, 15(3), 470; https://doi.org/10.3390/ijerph15030470

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

Department of Architecture and Planning, Faculty of Architecture and Design, NTNU—Norwegian University of Science and Technology, 7491 Trondheim, Norway
Received: 24 January 2018 / Revised: 16 February 2018 / Accepted: 5 March 2018 / Published: 7 March 2018
(This article belongs to the Section Global Health)
Full-Text   |   PDF [5206 KB, uploaded 7 March 2018]   |  

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. View Full-Text
Keywords: bicycle; bicycle route choice; revealed preference; naturalistic; built environment; physical activity; route choice model bicycle; bicycle route choice; revealed preference; naturalistic; built environment; physical activity; route choice model
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Pritchard, R. Revealed Preference Methods for Studying Bicycle Route Choice—A Systematic Review. Int. J. Environ. Res. Public Health 2018, 15, 470.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top