IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2022i1p698-d1020771.html
   My bibliography  Save this article

Skid Resistance Analysis of Urban Bike Lane Pavements for Safe Micromobility

Author

Listed:
  • Martín López-Molina

    (Highway Engineering Research Group (HERG), Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain)

  • David Llopis-Castelló

    (Highway Engineering Research Group (HERG), Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain)

  • Ana María Pérez-Zuriaga

    (Highway Engineering Research Group (HERG), Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain)

  • Carlos Alonso-Troyano

    (Highway Engineering Research Group (HERG), Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain)

  • Alfredo García

    (Highway Engineering Research Group (HERG), Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain)

Abstract

The use of micromobility vehicles is considerably growing in cities worldwide. As a result, crashes involving these vehicles are also increasing, with single-bicycle crashes accounting for a significant percentage. In most infrastructure-related crashes, the road surface was slippery. In this context, the study of pavement skid resistance is crucial to improve micromobility safety. In this research, the British pendulum tester was used to test the skid resistance of 5 different types of pavements on 17 bike lane locations in Valencia (Spain). Additionally, micromobility users’ speed was collected to analyse users’ behaviour. The results showed that asphalt, concrete, and rough painted tile pavements had the greatest skid resistance, whereas painted cobble and smooth painted tile pavements presented poor skid resistance. These values were compared with the limits set by the few guidelines that includes skid resistance thresholds. Moreover, skid resistance variability was also studied, with asphalt pavement being the most homogeneous. Based on the results of the research, several recommendations are proposed for the pavement to be used in the micromobility facility according to its typology. To this end, the investigatory level of skid resistance and the minimum braking distance required were also defined for each type of pavement and bike lane. The findings of this study contribute to the consideration of micromobility safety from the construction stage to the pavement management.

Suggested Citation

  • Martín López-Molina & David Llopis-Castelló & Ana María Pérez-Zuriaga & Carlos Alonso-Troyano & Alfredo García, 2022. "Skid Resistance Analysis of Urban Bike Lane Pavements for Safe Micromobility," Sustainability, MDPI, vol. 15(1), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:698-:d:1020771
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/698/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/1/698/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gabriel Dias & Elisabete Arsenio & Paulo Ribeiro, 2021. "The Role of Shared E-Scooter Systems in Urban Sustainability and Resilience during the Covid-19 Mobility Restrictions," Sustainability, MDPI, vol. 13(13), pages 1-19, June.
    2. Nuñez, Javier Yesid Mahecha & Bisconsini, Danilo Rinaldi & Rodrigues da Silva, Antônio Nélson, 2020. "Combining environmental quality assessment of bicycle infrastructures with vertical acceleration measurements," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 447-458.
    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. Alexandra König & Laura Gebhardt & Kerstin Stark & Julia Schuppan, 2022. "A Multi-Perspective Assessment of the Introduction of E-Scooter Sharing in Germany," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    2. Rémy Le Boennec & Frédéric Salladarré, 2023. "Investigating the use of privately-owned micromobility modes for commuting in four European countries," Post-Print hal-04296400, HAL.
    3. Sobrino, Natalia & Gonzalez, Juan Nicolas & Vassallo, Jose Manuel & Baeza, Maria de los Angeles, 2023. "Regulation of shared electric kick scooters in urban areas: Key drivers from expert stakeholders," Transport Policy, Elsevier, vol. 134(C), pages 1-18.
    4. Kim, Minju & Puczkowskyj, Nicholas & MacArthur, John & Dill, Jennifer, 2023. "Perspectives on e-scooters use: A multi-year cross-sectional approach to understanding e-scooter travel behavior in Portland, Oregon," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    5. Andrzej Kubik, 2022. "The Energy Consumption of Electric Scooters Used in the Polish Shared Mobility Market," Energies, MDPI, vol. 15(21), pages 1-15, November.
    6. Sujae Kim & Sangho Choo & Gyeongjae Lee & Sanghun Kim, 2022. "Predicting Demand for Shared E-Scooter Using Community Structure and Deep Learning Method," Sustainability, MDPI, vol. 14(5), pages 1-15, February.
    7. Medina-Molina, Cayetano & Pérez-Macías, Noemí & Fernández-Fernádez, José Luis, 2023. "The use of micromobility in different contexts. An explanation through the multilevel perspective and QCA," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    8. Andrzej Kubik, 2022. "Selection of an Electric Scooter for Shared Mobility Services Using Multicriteria Decision Support Methods," Energies, MDPI, vol. 15(23), pages 1-12, November.
    9. Jiang, Shixiong & Cai, Canhuang, 2022. "Unraveling the dynamic impacts of COVID-19 on metro ridership: An empirical analysis of Beijing and Shanghai, China," Transport Policy, Elsevier, vol. 127(C), pages 158-170.
    10. Jacek Oskarbski & Krystian Birr & Karol Żarski, 2021. "Bicycle Traffic Model for Sustainable Urban Mobility Planning," Energies, MDPI, vol. 14(18), pages 1-36, September.
    11. Butler, Luke & Yigitcanlar, Tan & Paz, Alexander & Areed, Wala, 2022. "How can smart mobility bridge the first/last mile gap? Empirical evidence on public attitudes from Australia," Journal of Transport Geography, Elsevier, vol. 104(C).
    12. Nikiforiadis, Andreas & Paschalidis, Evangelos & Stamatiadis, Nikiforos & Paloka, Ntonata & Tsekoura, Eleni & Basbas, Socrates, 2023. "E-scooters and other mode trip chaining: Preferences and attitudes of university students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    13. Georgia Ayfantopoulou & Josep Maria Salanova Grau & Zisis Maleas & Alexandros Siomos, 2022. "Micro-Mobility User Pattern Analysis and Station Location in Thessaloniki," Sustainability, MDPI, vol. 14(11), pages 1-14, May.
    14. Yunus Emre Ayözen, 2023. "Statistical Optimization of E-Scooter Micro-Mobility Utilization in Postal Service," Energies, MDPI, vol. 16(3), pages 1-25, January.
    15. Tufail Ahmed & Ali Pirdavani & Davy Janssens & Geert Wets, 2023. "Utilizing Intelligent Portable Bicycle Lights to Assess Urban Bicycle Infrastructure Surfaces," Sustainability, MDPI, vol. 15(5), pages 1-22, March.
    16. Ecer, Fatih & Küçükönder, Hande & Kayapınar Kaya, Sema & Faruk Görçün, Ömer, 2023. "Sustainability performance analysis of micro-mobility solutions in urban transportation with a novel IVFNN-Delphi-LOPCOW-CoCoSo framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    17. Bretones, Alexandra & Marquet, Oriol, 2022. "Sociopsychological factors associated with the adoption and usage of electric micromobility. A literature review," Transport Policy, Elsevier, vol. 127(C), pages 230-249.
    18. Belma Turan & Tina Wakolbinger, 2023. "The Electric Scooter Collection Problem: A Case Study in the City of Vienna," Sustainability, MDPI, vol. 15(13), pages 1-20, June.

    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:15:y:2022:i:1:p:698-:d:1020771. 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.