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Catalysts and magnets: Built environment and bicycle commuting
Institution: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;1. Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, B-9000 Ghent, Belgium;2. Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, De Pintelaan 185, 4k3, B-9000 Ghent, Belgium;3. Department of Human Biometry and Biomechanics, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium;4. Department of Epidemiology and Biostatistics, the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands;5. Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Épidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, France;6. Université Pierre et Marie Curie-Paris 6, Department of Nutrition Pitié-Salpêtrière Hospital (AP-HP), Centre for Research on Human Nutrition Ile-de-France (CRNH IdF), Institute of Cardiometabolism and Nutrition (ICAN), Paris, France;7. ECOHOST – The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK;8. Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Hungary;1. Centre for Research in Environmental Epidemiology, Barcelona, Spain;2. CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain;3. Universitat Pompeu Fabra, Departament de Ciències Experimentals i de la Salut, Barcelona, Spain;4. Physical Activity and Sports Sciences Department, Fundació Blanquerna, Barcelona, Spain;5. Center for Environmental Policy, Imperial College London, London, United Kingdom;6. Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina;7. Environmental Health Sciences, School of Public Health, University of California, Berkeley, California;1. School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control, Beihang University, Beijing 100191, China;2. Department of Civil Engineering, University of Memphis, Memphis 38152, United States;3. School of Urban Planning and Design, Peking University, Shenzhen 518055, China;4. National Center for Smart Growth Research, University of Maryland, MD 20742, United States
Abstract:What effects do bicycle infrastructure and the built environment have on people’s decisions to commute by bicycle? While many studies have considered this question, commonly employed methodologies fail to address the unique statistical challenge of modeling modes with small mode shares. Additionally, personal characteristics that are not adequately accounted for may lead to overestimation of built environment impacts.This study addresses these two key issues by using an ordered probit Heckman selection model to jointly estimate participation in and frequency of commuting by bicycle, controlling for demographics, residential preferences, and travel attitudes. The findings suggest a strong influence of attitudinal factors, with modest contributions of bicycle accessibility. Bicycle lanes act as “magnets” to attract bicyclists to a neighborhood, rather than being the “catalyst” that encourages non-bikers to shift modes. The results have implications for planners and policymakers attempting to increase bicycling mode share via the strategic infrastructure development.
Keywords:Bicycling  Bicycle commuting  Travel behavior  Mode choice  Self-selection
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