期刊
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
卷 84, 期 -, 页码 4-17出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tra.2015.10.006
关键词
Bicycle commuting; In transition to a cyclable city; Latent variables; Psychometric indicators; Theory of planned behaviour; Factor analysis
资金
- Spanish Science and Innovation Ministry [BES-2011-049533]
- National Research Project: TRANSBICI-Travel behaviour analysis for modelling the potential use of bicycle: transition to a cycling city
An understanding of the key factors influencing bicycle commuting is essential for developing effective policies towards a cyclable city. This paper contributes to this line of research by proposing a methodology for including cycling-related indicators in mobility surveys based on the Theory of Planned Behaviour (TPB), and applying an exploratory factor analysis (EFA) to evaluate the structure of latent variables associated with bicycle commuting. The EFA identified six cycling latent variables: Lifestyle, Safety and comfort, Awareness, Direct disadvantages, Subjective norm, and Individual capabilities. These were complemented with a latent variable related to habit: Non-commuting cycling habit. Statistical differences and regression analysis were applied with the cycling latent variables. The study also includes the relationship between objective factors and bicycle commuting, which reveals minor associations. This methodology was applied to the starter cycling city of Vitoria-Gasteiz (Spain). The results confirm that in this context - in transition to a cyclable city- safety and comfort issues are not the main barriers for all commuters, although more progress needs to be made to normalise cycling. A set of customised policy initiatives is recommended in the light of the research findings, including marketing campaigns to encourage non-commuting cycling trips, bicycle measures to target social groups as opposed to individuals, bicycle-specific programs such as Bike-to-work Days, and cycling courses. (C) 2015 Elsevier Ltd. All rights reserved.
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