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What Factors Affect Bicycle Commuting? An Empirical Analysis in Tbilisi and Warsaw

Author

Listed:
  • Kikoria Giga

    (Business and Technology University)

  • Sanikidze Zezva

    (Tbilisi State University)

  • Sikora Marek

    (Bydgoszcz University of Science and Technology)

  • Gelashvili Simon

    (Tbilisi State University)

Abstract

Purpose The purpose of the article is to identify the factors that influence commuting by bicycle with a specific focus on Tbilisi and Warsaw. Based on the testing of hypotheses, the authors intended to determine how different factors affect commuting by cycling in these two cities. Design/methodology/approach The study uses a structured and self-administered online questionnaire of bicycle users in both cities. The survey collected data on cycling behaviour, motivations, and perceptions of cycling infrastructure. The population of the cycling community was 12,000 in Tbilisi and 14,000 in Warsaw. The Binary logit regression model was used to determine the influence of variables. The questionnaire is in line with The National Institute for Transportation and Communities of USA. Findings The study’s findings suggest that while commuting by cycling has significant environmental benefits, there are significant barriers to its adoption, including a lack of infrastructure, safety concerns, and cultural attitudes towards bicycle commuting in Tbilisi and Warsaw. The study also reveals different attitudes among bicycle users. Research limitations The study’s limitations include the relatively small sample size of the survey and the limited scope of the quantitative survey. Nevertheless, the study provides valuable insights into the opportunities and challenges of promoting cycling as a sustainable mode of transport in these two cities. Practical implications The practical implications of the study are twofold. First, it highlights the need for a coordinated effort by local authorities, civil society, and private actors to promote cycling as a sustainable mode of transport. Second, it provides specific recommendations for policymakers on how to overcome the barriers to cycling and promote this sustainable means of transport. Originality/value The study’s originality lies in its focus on two cities with different cultural and political contexts, providing a comparison of how cycling promotion strategies may vary across contexts.

Suggested Citation

  • Kikoria Giga & Sanikidze Zezva & Sikora Marek & Gelashvili Simon, 2024. "What Factors Affect Bicycle Commuting? An Empirical Analysis in Tbilisi and Warsaw," Folia Oeconomica Stetinensia, Sciendo, vol. 24(1), pages 87-104.
  • Handle: RePEc:vrs:foeste:v:24:y:2024:i:1:p:87-104:n:1006
    DOI: 10.2478/foli-2024-0006
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    References listed on IDEAS

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    1. Eva Heinen & Ralph Buehler, 2019. "Bicycle parking: a systematic review of scientific literature on parking behaviour, parking preferences, and their influence on cycling and travel behaviour," Transport Reviews, Taylor & Francis Journals, vol. 39(5), pages 630-656, September.
    2. Lusk, A.C. & Morency, P. & Miranda-Moreno, L.F. & Willett, W.C. & Dennerlein, J.T., 2013. "Bicycle guidelines and crash rates on cycle tracks in the United States," American Journal of Public Health, American Public Health Association, vol. 103(7), pages 1240-1248.
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    More about this item

    Keywords

    Hypothesis testing; Model Construction and Estimation; Social Choice; Air Pollution; Transportation; Safety;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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