IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i21p9472-d1511204.html
   My bibliography  Save this article

Evaluating Urban Bikeability: A Comprehensive Assessment of Póvoa de Varzim’s Network

Author

Listed:
  • Ugo N. Castañon

    (CTAC—Centre for Territory Ambient and Construction, School of Engineering, University of Minho, 4800-058 Guimarães, Portugal)

  • Paulo J. G. Ribeiro

    (CTAC—Centre for Territory Ambient and Construction, School of Engineering, University of Minho, 4800-058 Guimarães, Portugal)

  • José F. G. Mendes

    (CTAC—Centre for Territory Ambient and Construction, School of Engineering, University of Minho, 4800-058 Guimarães, Portugal)

Abstract

In urban areas, bicycles promote sustainable, efficient, and healthy mobility while reducing carbon emissions. Bicycle trips, especially those replacing car journeys, help reduce traffic congestion and lower emissions, contributing to decarbonising the transport sector. This study introduces a method for evaluating the bikeability of urban road networks through a multi-criteria analysis using Geographic Information Systems (GIS). Five key criteria are considered: accessibility, infrastructure, road features, environmental surroundings, and safety factors. A case study in a Portuguese city revealed that over 95% of the urban network has a low to moderate bikeability index (0.3–0.5), with no segments exceeding 0.7, indicating a need for significant infrastructure improvements. The analysis revealed that safety strongly influences bikeability, while road features and the surrounding environment also show positive associations. In contrast, infrastructure and accessibility displayed weaker correlations due to limited infrastructure and integration with public transport. Despite the differences, all criteria can identify distinct bikeability levels. The findings underscore the urgent need for a comprehensive cycling infrastructure, including cycle paths and improved bicycle parking. Additionally, the study highlights the need for a more robust model with stakeholder participation in future evaluations. This adaptable methodology provides a robust tool for assessing and enhancing urban bikeability, contributing to more sustainable and cyclist-friendly cities.

Suggested Citation

  • Ugo N. Castañon & Paulo J. G. Ribeiro & José F. G. Mendes, 2024. "Evaluating Urban Bikeability: A Comprehensive Assessment of Póvoa de Varzim’s Network," Sustainability, MDPI, vol. 16(21), pages 1-28, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9472-:d:1511204
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/21/9472/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/21/9472/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giulia Reggiani & Tim Oijen & Homayoun Hamedmoghadam & Winnie Daamen & Hai L. Vu & Serge Hoogendoorn, 2022. "Understanding bikeability: a methodology to assess urban networks," Transportation, Springer, vol. 49(3), pages 897-925, June.
    2. Hamilton, Timothy L. & Wichman, Casey J., 2018. "Bicycle infrastructure and traffic congestion: Evidence from DC's Capital Bikeshare," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 72-93.
    3. Paulo J. G. Ribeiro & Gabriel Dias & José F. G. Mendes, 2024. "Decarbonizing Urban Mobility: A Methodology for Shifting Modal Shares to Achieve CO 2 Reduction Targets," Sustainability, MDPI, vol. 16(16), pages 1-12, August.
    4. Wang, Mingshu & Zhou, Xiaolu, 2017. "Bike-sharing systems and congestion: Evidence from US cities," Journal of Transport Geography, Elsevier, vol. 65(C), pages 147-154.
    5. 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.
    6. John Parkin & Mark Wardman & Matthew Page, 2008. "Estimation of the determinants of bicycle mode share for the journey to work using census data," Transportation, Springer, vol. 35(1), pages 93-109, January.
    7. Fernando Fonseca & Paulo Ribeiro & Carolina Neiva, 2023. "A Planning Practice Method to Assess the Potential for Cycling and to Design a Bicycle Network in a Starter Cycling City in Portugal," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    8. Bu, Chujie & Cui, Xueqin & Li, Ruiyao & Li, Jin & Zhang, Yaxin & Wang, Can & Cai, Wenjia, 2021. "Achieving net-zero emissions in China’s passenger transport sector through regionally tailored mitigation strategies," Applied Energy, Elsevier, vol. 284(C).
    9. Tomáš Skrúcaný & Martin Kendra & Ondrej Stopka & Saša Milojević & Tomasz Figlus & Csaba Csiszár, 2019. "Impact of the Electric Mobility Implementation on the Greenhouse Gases Production in Central European Countries," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    10. Lina Wahlgren & Peter Schantz, 2014. "Exploring Bikeability in a Suburban Metropolitan Area Using the Active Commuting Route Environment Scale (ACRES)," IJERPH, MDPI, vol. 11(8), pages 1-25, August.
    11. Banister, David, 2008. "The sustainable mobility paradigm," Transport Policy, Elsevier, vol. 15(2), pages 73-80, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hyungkyoo Kim, 2020. "Seasonal Impacts of Particulate Matter Levels on Bike Sharing in Seoul, South Korea," IJERPH, MDPI, vol. 17(11), pages 1-17, June.
    2. Zhou, Xiaolu & Wang, Mingshu & Li, Dongying, 2019. "Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    3. Sebastian Rühmann & Stephan Leible & Tom Lewandowski, 2024. "Interpretable Bike-Sharing Activity Prediction with a Temporal Fusion Transformer to Unveil Influential Factors: A Case Study in Hamburg, Germany," Sustainability, MDPI, vol. 16(8), pages 1-32, April.
    4. Nigro, Marialisa & Castiglione, Marisdea & Maria Colasanti, Fabio & De Vincentis, Rosita & Valenti, Gaetano & Liberto, Carlo & Comi, Antonio, 2022. "Exploiting floating car data to derive the shifting potential to electric micromobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 78-93.
    5. Chen, Shuting & Cao, Zhejing & Zhang, Xiaohu, 2025. "Adaptive scootability index: Built environment, travel purpose and e-scooter preferred route," Journal of Transport Geography, Elsevier, vol. 123(C).
    6. Jafari, Afshin & Pemberton, Steve & Tiwari, Sapan & Saghapour, Tayebeh & Chand, Nikhil & Zapata-Diomedi, Belen & Giles-Corti, Billie, 2025. "Modelling the impact of lower speed limits on residential streets for cyclist level of traffic stress and car travel time in Greater Melbourne," OSF Preprints np64v_v1, Center for Open Science.
    7. 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.
    8. 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).
    9. Kwiatkowski Michał Adam, 2018. "Urban Cycling as an Indicator of Socio-Economic Innovation and Sustainable Transport," Quaestiones Geographicae, Sciendo, vol. 37(4), pages 23-32, December.
    10. Tufail Ahmed & Ali Pirdavani & Geert Wets & Davy Janssens, 2024. "Bicycle Infrastructure Design Principles in Urban Bikeability Indices: A Systematic Review," Sustainability, MDPI, vol. 16(6), pages 1-23, March.
    11. 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.
    12. Xie, Xiao-Feng & Wang, Zunjing Jenipher, 2018. "Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area," Journal of Transport Geography, Elsevier, vol. 71(C), pages 84-102.
    13. Ioannis Chatziioannou & Luis Alvarez-Icaza & Efthimios Bakogiannis & Charalampos Kyriakidis & Luis Chias-Becerril, 2020. "A Structural Analysis for the Categorization of the Negative Externalities of Transport and the Hierarchical Organization of Sustainable Mobility’s Strategies," Sustainability, MDPI, vol. 12(15), pages 1-27, July.
    14. Higuera-Mendieta, Diana & Uriza, Pablo Andrés & Cabrales, Sergio A. & Medaglia, Andrés L. & Guzman, Luis A. & Sarmiento, Olga L., 2021. "Is the built-environment at origin, on route, and at destination associated with bicycle commuting? A gender-informed approach," Journal of Transport Geography, Elsevier, vol. 94(C).
    15. Younes, Hannah & Zou, Zhenpeng & Wu, Jiahui & Baiocchi, Giovanni, 2020. "Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 308-320.
    16. Alexandros Nikitas, 2019. "How to Save Bike-Sharing: An Evidence-Based Survival Toolkit for Policy-Makers and Mobility Providers," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    17. Cunha, Isabel & Silva, Cecília & Büttner, Benjamin & Toivonen, Tuuli, 2024. "Pursuing cycling equity? A mixed-methods analysis of cycling plans in European cities," Transport Policy, Elsevier, vol. 145(C), pages 237-246.
    18. Lopes, Miguel & Mélice Dias, Ana & Silva, Cecília, 2021. "The impact of urban features in cycling potential – A tale of Portuguese cities," Journal of Transport Geography, Elsevier, vol. 95(C).
    19. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    20. Gerhard Hitge & Johan W. Joubert, 2025. "The survivability of cycling in a co-evolutionary agent-based model," Transportation, Springer, vol. 52(1), pages 325-348, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9472-:d:1511204. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.