Browse by author
Lookup NU author(s): Professor Elisabetta Cherchi
This is the authors' accepted manuscript of an article that has been published in its final definitive form by Taylor & Francis, 2019.
For re-use rights please refer to the publisher's terms and conditions.
Cycling is one of the most sustainable and ecofriendly modes of travel and a good form of exercise. Many government and public health authorities recommend cycling to stay fit as well as to reduce air and noise pollution, CO2 emissions, traffic congestion, and other negative consequences of car use. In light of these benefits, a major challenge for researchers today is how to promote cycling. However, in countries where cycling is not common, apart from the need for proper cycling facilities, one major issue concerns people’s perception of cycling for sport or recreational activities rather than as a mode of transport. The aim of this paper is to explore the role of perception in the likelihood of the bike being used for utilitarian purposes. We focus on the perception of: the bicycle as a means of transport; bikeability (in terms of usefulness and safety) and of bike infrastructure. Hybrid Choice Models (HCMs) have been used to estimate the effect of people’s perception on the propensity to bike. The HCM also accounts for the serial correlation between error terms in the discrete and latent perceptions, to allow for agent-common unknown factors. Furthermore, we also validate the model results using a hold-out sample and discuss some policy measures aimed at changing travel behavior. The results suggest that, besides individual characteristics, latent aspects related to the perception of the context and of the bicycle as a means of transport strongly affect the propensity to cycle.
Author(s): Sottile E, Sanjust B, Meloni I, Cherchi E
Publication type: Article
Publication status: Published
Journal: International Journal of Sustainable Transportation
Year: 2019
Volume: 13
Issue: 8
Pages: 543-552
Online publication date: 05/09/2018
Acceptance date: 14/06/2018
Date deposited: 12/09/2018
ISSN (print): 1556-8318
ISSN (electronic): 1556-8334
Publisher: Taylor & Francis
URL: https://doi.org/10.1080/15568318.2018.1490465
DOI: 10.1080/15568318.2018.1490465
Altmetrics provided by Altmetric