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Bikeability – Urban structures supporting cycling. Effects of local, urban and regional scale urban form factors on cycling from home and workplace locations in Denmark

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  • Nielsen, Thomas Alexander Sick
  • Skov-Petersen, Hans

Abstract

This study applies micro-level transport survey data to assess the significance of Bikeability variables on the probability of cycling in trips to or from residential and workplace locations. The data and analysis were prepared to include measures at different spatial scales, including measures of density/accessibility and infrastructure provision for network distances from up to 1 km to up to 5 km from the origin of a trip, as well as the regional position of the city. The probability of cycling is affected by urban structure variables at the local, urban and regional scale. The local scale, which includes the positive effects from population density and cycling infrastructures, is the most important in influencing cycling, but there are substantial additional contributions from access to retail and train stations within a range of 3–4 km, as well as from the relative size of the city within the region. The effect of the regional scale most likely reflects the reliance upon motorized modes to connect to distant important nodes. Factors at the local, urban and regional scales may pull cycling in opposite directions and thus all need to be considered to adequately assess the possibilities for promoting cycling in an urban area or neighbourhood.

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  • Nielsen, Thomas Alexander Sick & Skov-Petersen, Hans, 2018. "Bikeability – Urban structures supporting cycling. Effects of local, urban and regional scale urban form factors on cycling from home and workplace locations in Denmark," Journal of Transport Geography, Elsevier, vol. 69(C), pages 36-44.
    • Handle: RePEc:eee:jotrge:v:69:y:2018:i:c:p:36-44
    DOI: 10.1016/j.jtrangeo.2018.04.015
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    1. Kevin J Krizek & Susan L Handy & Ann Forsyth, 2009. "Explaining Changes in Walking and Bicycling Behavior: Challenges for Transportation Research," Environment and Planning B, , vol. 36(4), pages 725-740, August.
    2. Hansen, Karsten Bruun & Nielsen, Thomas Alexander Sick, 2014. "Exploring characteristics and motives of long distance commuter cyclists," Transport Policy, Elsevier, vol. 35(C), pages 57-63.
    3. Meghan Winters & Michael Brauer & Eleanor M Setton & Kay Teschke, 2013. "Mapping Bikeability: A Spatial Tool to Support Sustainable Travel," Environment and Planning B, , vol. 40(5), pages 865-883, October.
    4. Pikora, Terri & Giles-Corti, Billie & Bull, Fiona & Jamrozik, Konrad & Donovan, Rob, 2003. "Developing a framework for assessment of the environmental determinants of walking and cycling," Social Science & Medicine, Elsevier, vol. 56(8), pages 1693-1703, April.
    5. Ralph Buehler & Jennifer Dill, 2016. "Bikeway Networks: A Review of Effects on Cycling," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 9-27, January.
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    1. Martin, Adam & Morciano, Marcello & Suhrcke, Marc, 2021. "Determinants of bicycle commuting and the effect of bicycle infrastructure investment in London: Evidence from UK census microdata," Economics & Human Biology, Elsevier, vol. 41(C).
    2. Maria Nogal & Pilar Jiménez, 2020. "Attractiveness of Bike-Sharing Stations from a Multi-Modal Perspective: The Role of Objective and Subjective Features," Sustainability, MDPI, vol. 12(21), pages 1-26, October.
    3. HaeLi Kang & Dong Ha Kim & Seunghyun Yoo, 2019. "Attributes of Perceived Bikeability in a Compact Urban Neighborhood Based on Qualitative Multi-Methods," IJERPH, MDPI, vol. 16(19), pages 1-16, October.
    4. Beecham, Roger & Tait, Caroline & Lovelace, Robin & Yang, Yuanxuan, 2022. "Connected bikeability in London: which localities are better connected by bike and does this matter?," OSF Preprints gbfz8, Center for Open Science.
    5. Mogens Fosgerau & Miroslawa Lukawska & Mads Paulsen & Thomas Kj{ae}r Rasmussen, 2022. "Bikeability and the induced demand for cycling," Papers 2210.02504, arXiv.org, revised Dec 2022.
    6. Gan, Zuoxian & Yang, Min & Zeng, Qingcheng & Timmermans, Harry J.P., 2021. "Associations between built environment, perceived walkability/bikeability and metro transfer patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 171-187.
    7. Rodriguez-Valencia, Alvaro & Rosas-Satizábal, Daniel & Gordo, Daniel & Ochoa, Andrés, 2019. "Impact of household proximity to the cycling network on bicycle ridership: The case of Bogotá," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    8. Samuel Nello-Deakin & Marco te Brömmelstroet, 2021. "Scaling up cycling or replacing driving? Triggers and trajectories of bike–train uptake in the Randstad area," Transportation, Springer, vol. 48(6), pages 3239-3267, December.
    9. Buregeya, Jean Marie & Loignon, Christine & Brousselle, Astrid, 2020. "Contribution analysis to analyze the effects of the health impact assessment at the local level: A case of urban revitalization," Evaluation and Program Planning, Elsevier, vol. 79(C).
    10. Jonas Schmid-Querg & Andreas Keler & Georgios Grigoropoulos, 2021. "The Munich Bikeability Index: A Practical Approach for Measuring Urban Bikeability," Sustainability, MDPI, vol. 13(1), pages 1-14, January.
    11. Hallberg, Martin & Rasmussen, Thomas Kjær & Rich, Jeppe, 2021. "Modelling the impact of cycle superhighways and electric bicycles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 397-418.
    12. Sonja Haustein & Maarten Kroesen & Ismir Mulalic, 2020. "Cycling culture and socialisation: modelling the effect of immigrant origin on cycling in Denmark and the Netherlands," Transportation, Springer, vol. 47(4), pages 1689-1709, August.
    13. Jacek Oskarbski & Krystian Birr & Karol Żarski, 2021. "Bicycle Traffic Model for Sustainable Urban Mobility Planning," Energies, MDPI, vol. 14(18), pages 1-36, September.
    14. Federica Biassoni & Chiara Lo Carmine & Paolo Perego & Martina Gnerre, 2023. "Choosing the Bicycle as a Mode of Transportation, the Influence of Infrastructure Perception, Travel Satisfaction and Pro-Environmental Attitude, the Case of Milan," Sustainability, MDPI, vol. 15(16), pages 1-14, August.
    15. Elise Desjardins & Christopher D. Higgins & Darren M. Scott & Emma Apatu & Antonio Páez, 2022. "Correlates of bicycling trip flows in Hamilton, Ontario: fastest, quietest, or balanced routes?," Transportation, Springer, vol. 49(3), pages 867-895, June.
    16. Xueying Wu & Yi Lu & Yaoyu Lin & Yiyang Yang, 2019. "Measuring the Destination Accessibility of Cycling Transfer Trips in Metro Station Areas: A Big Data Approach," IJERPH, MDPI, vol. 16(15), pages 1-16, July.
    17. Willberg, Elias S & Tenkanen, Henrikki & Poom, Age & Salonen, Maria & Toivonen, Tuuli, 2021. "Comparing spatial data sources for cycling studies – a review," SocArXiv ruy3j, Center for Open Science.

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