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The Influence of Noise, Vibration, Cycle Paths, and Period of Day on Stress Experienced by Cyclists

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  • Javier Yesid Mahecha Nuñez

    (Department of Transportation Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos 13566-590, Brazil)

  • Inaian Pignatti Teixeira

    (Department of Transportation Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos 13566-590, Brazil)

  • Antônio Nélson Rodrigues da Silva

    (Department of Transportation Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos 13566-590, Brazil)

  • Peter Zeile

    (Karlsruhe Institute for Technology, Englerstraße 11, 76131 Karlsruhe, Germany)

  • Luc Dekoninck

    (Waves Research Group, Department of Information Technology, Ghent University, B-9000 Ghent, Belgium)

  • Dick Botteldooren

    (Waves Research Group, Department of Information Technology, Ghent University, B-9000 Ghent, Belgium)

Abstract

Urban and transport planners need to assess the stressful conditions experienced by cyclists, considering that highly stressful situations can discourage people from cycling as a transport mode. Therefore, this study has two objectives: (1) to present a method for monitoring stress and other environmental factors along cycling routes using smart sensors; and (2) to analyze the influence of noise, vibration, presence of cycle paths, and the period of the day on stress experienced by cyclists. Data were collected in the city of São Carlos, Brazil, using stress and noise sensors, accelerometers, and Global Positioning System (GPS). Primarily, heat maps generated from the data made it possible to identify critical points of stress along the routes. In addition, the results of a logistic regression model were analyzed to identify the influence of the studied variables on stress. Although high levels of noise increased the odds of experiencing stress by 4%, very uncomfortable vibrations increased the odds by 14%, and the presence of cycle paths reduced the odds by 8%, an analysis of p -values and odds ratio confidence intervals shows, with a 95% confidence level, that only the period of the day influenced stress, as confirmed by the data. In this case, the odds of having stress increased by 24% in the afternoon rush hour compared to the morning rush hour.

Suggested Citation

  • Javier Yesid Mahecha Nuñez & Inaian Pignatti Teixeira & Antônio Nélson Rodrigues da Silva & Peter Zeile & Luc Dekoninck & Dick Botteldooren, 2018. "The Influence of Noise, Vibration, Cycle Paths, and Period of Day on Stress Experienced by Cyclists," Sustainability, MDPI, vol. 10(7), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2379-:d:156909
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    References listed on IDEAS

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    Cited by:

    1. Rafael Hologa & Nils Riach, 2020. "Approaching Bike Hazards via Crowdsourcing of Volunteered Geographic Information," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    2. Gadsby, April & Hagenzieker, Marjan & Watkins, Kari, 2021. "An international comparison of the self-reported causes of cyclist stress using quasi-naturalistic cycling," Journal of Transport Geography, Elsevier, vol. 91(C).
    3. Teixeira, Inaian Pignatti & Rodrigues da Silva, Antônio Nélson & Schwanen, Tim & Manzato, Gustavo Garcia & Dörrzapf, Linda & Zeile, Peter & Dekoninck, Luc & Botteldooren, Dick, 2020. "Does cycling infrastructure reduce stress biomarkers in commuting cyclists? A comparison of five European cities," Journal of Transport Geography, Elsevier, vol. 88(C).
    4. Stefan Gössling & Andreas Humpe & Todd Litman & Daniel Metzler, 2019. "Effects of Perceived Traffic Risks, Noise, and Exhaust Smells on Bicyclist Behaviour: An Economic Evaluation," Sustainability, MDPI, vol. 11(2), pages 1-15, January.

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