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Application of the Decision-Making Trial and Evaluation Laboratory Method to Assess Factors Influencing the Development of Cycling Infrastructure in Cities

Author

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  • Anna Trembecka

    (Faculty of Geo-Data Science, Geodesy, and Environmental Engineering, AGH University of Krakow, 30-059 Krakow, Poland)

  • Grzegorz Ginda

    (Faculty of Management, AGH University of Krakow, 30-059 Krakow, Poland)

  • Anita Kwartnik-Pruc

    (Faculty of Geo-Data Science, Geodesy, and Environmental Engineering, AGH University of Krakow, 30-059 Krakow, Poland)

Abstract

Sustainable development and environmental considerations have resulted in many cities around the world recognising the importance of non-motorised modes of transport. Problems related to the proper development and maintenance of cycling infrastructure have already been the subject of various studies. However, they have mainly dealt with the identification of factors influencing the development of cycle paths and the optimisation of the design of safe and comfortable cycle routes. The influence of individual factors on each other and on the development of cycling infrastructure has not been studied. The research aims of this article are to identify which factors influence the development of bicycle infrastructure, their role and interdependence, and their prioritisation. It also looks at whether there are differences between the opinions of bicycle users and experts professionally involved in the development of bicycle paths in assessing the importance of the factors indicated. As a result of the study, eight factors influencing the development of bicycle infrastructure were identified. Based on the opinions of cyclists and experts, the nature of each factor was analysed. Taking into account the complex relationships between the factors, the key factors contributing to the development of bicycle infrastructure were shown: (1) the planning of bicycle paths, taking into account the separation of individual paths and their continuity, consistency, and length; (2) legal regulations promoting cycling in terms of transportation policy; (3) the elimination of obstacles; and (4) the design of bicycle paths, taking into account the safety, space management, terrain, and attractiveness of the surroundings. The results for both groups of respondents were compared. They indicate that both groups of respondents reported the same factors as the most important, with the only differences being in the order of the importance of the factors. The academic value of this work lies in showing the usability of the underrated original version of DEMATEL methodology in the considered area for key factors. The practical significance of this paper is the provision of a rather simple, yet reliable, tool for addressing the complexity of interrelated issues that make the development of urban infrastructure a cumbersome task.

Suggested Citation

  • Anna Trembecka & Grzegorz Ginda & Anita Kwartnik-Pruc, 2023. "Application of the Decision-Making Trial and Evaluation Laboratory Method to Assess Factors Influencing the Development of Cycling Infrastructure in Cities," Sustainability, MDPI, vol. 15(23), pages 1-27, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16421-:d:1290746
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    References listed on IDEAS

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    1. Margherita Pazzini & Leonardo Cameli & Claudio Lantieri & Valeria Vignali & Giulio Dondi & Thomas Jonsson, 2022. "New Micromobility Means of Transport: An Analysis of E-Scooter Users’ Behaviour in Trondheim," IJERPH, MDPI, vol. 19(12), pages 1-17, June.
    2. Dinara MAMRAYEVA & Larissa TASHENOVA, 2017. "Prospects Of Bicycle-Sharing In Urban Tourism In The Republic Of Kazakhstan: Myth Or Reality?," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 12(2), pages 65-76, June.
    3. Srđan Dimić & Dragan Pamučar & Srđan Ljubojević & Boban Đorović, 2016. "Strategic Transport Management Models—The Case Study of an Oil Industry," Sustainability, MDPI, vol. 8(9), pages 1-27, September.
    4. Ralph Buehler & John Pucher, 2012. "Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes," Transportation, Springer, vol. 39(2), pages 409-432, March.
    5. Sheng-Li Si & Xiao-Yue You & Hu-Chen Liu & Ping Zhang, 2018. "DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-33, January.
    6. Shaheen, Susan & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present, and Future," Institute of Transportation Studies, Working Paper Series qt79v822k5, Institute of Transportation Studies, UC Davis.
    7. Sarthak Sahu & Saket Shanker & Aditya Kamat & Akhilesh Barve, 2023. "India’s public transportation system: the repercussions of COVID-19," Public Transport, Springer, vol. 15(2), pages 435-478, June.
    8. Shaheen, Susan A & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present and Future," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6qg8q6ft, Institute of Transportation Studies, UC Berkeley.
    9. De Vos, Jonas, 2018. "Do people travel with their preferred travel mode? Analysing the extent of travel mode dissonance and its effect on travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 261-274.
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