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Estimation and validation of hybrid choice models to identify the role of perception in the choice to cycle

Lookup NU author(s): Professor Elisabetta Cherchi

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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.


Abstract

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.


Publication metadata

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


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