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Transition to a cyclable city: Latent variables affecting bicycle commuting
Institution:1. TRANSyT – Transport Research Centre, Universidad Politécnica de Madrid, c/Profesor Aranguren s/n, Ciudad Universitaria, 28040 Madrid, Spain;2. Civil Engineering-Transport Department, Escuela de Caminos, Universidad Politécnica de Madrid, c/Profesor Aranguren s/n, Ciudad Universitaria, 28040 Madrid, Spain;1. Department of Geography, Hebrew University of Jerusalem, Mount Scopus, 91905, Jerusalem, Israel;2. Department of Management Engineering, Technical University of Denmark, Bygningstorvet 116B, 2800, Kgs. Lyngby, Denmark;3. Institute for Multidisciplinary Research in Quantitative Modelling and Analysis, Catholic University of Louvain, Voie Du Roman Pays 34, 1348, Louvain-la-Neuve, Belgium;4. School of Civil Engineering, The University of Queenslandm, St. Lucia, 4072, Brisbane, Australia;3. Department of Civil and Environmental Engineering, Grainger College of Engineering, 1212 Newmark Civil Engineering Bldg, 205 N. Mathews, Urbana, Illinois, 61801, USA;1. Department of Developmental and Social Psychology, University of Rome “La Sapienza”, Italy;2. Department of Social Sciences, University of Rome “La Sapienza”, Italy;3. Salesian Pontifical University of Rome, Italy;1. Department of Civil, Environmental, and Geo-Engineering, University of Minnesota, Twin Cities, United States;2. Humphrey School of Public Affairs, University of Minnesota, Twin Cities, United States
Abstract: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.
Keywords:Bicycle commuting  In transition to a cyclable city  Latent variables  Psychometric indicators  Theory of planned behaviour  Factor analysis
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