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Prioritizing new bicycle facilities to improve low-stress network connectivity

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  • Lowry, Michael B.
  • Furth, Peter
  • Hadden-Loh, Tracy

Abstract

This paper introduces a new method to prioritize bicycle improvement projects based on accessibility to important destinations, such as grocery stores, banks, and restaurants. Central to the method is a new way to classify “bicycling stress” using marginal rates of substitution which are commonly developed through empirical behavioral research on bicyclist route choice. MRS values are input parameters representing bicycling stress associated with the number of lanes and speed limit of a street. The method was programmed as a geographic information system tool and requires commonly available data. The tool is demonstrated on three improvement scenarios that were recently proposed for Seattle, Washington. The full build-out scenario consists of 771 projects that include various new bike lanes, protected bike lanes, and multi-use trails. The tool produces priority rankings based on a project’s ability to improve low-stress connectivity between homes and important destinations. The analysis identifies specific areas and neighborhoods that can be expected to exhibit better bikeability. Transportation planners can use the tool to help communicate anticipated project impacts to decision-makers and the public.

Suggested Citation

  • Lowry, Michael B. & Furth, Peter & Hadden-Loh, Tracy, 2016. "Prioritizing new bicycle facilities to improve low-stress network connectivity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 124-140.
    • Handle: RePEc:eee:transa:v:86:y:2016:i:c:p:124-140
    DOI: 10.1016/j.tra.2016.02.003
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    Cited by:

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    5. Houde, Maxime & Apparicio, Philippe & Séguin, Anne-Marie, 2018. "A ride for whom: Has cycling network expansion reduced inequities in accessibility in Montreal, Canada?," Journal of Transport Geography, Elsevier, vol. 68(C), pages 9-21.
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    7. Fitch, Dillon T. & Carlen, Jane & Handy, Susan L., 2022. "What makes bicyclists comfortable? Insights from a visual preference survey of casual and prospective bicyclists," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 434-449.
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    9. Faghih Imani, Ahmadreza & Miller, Eric J. & Saxe, Shoshanna, 2019. "Cycle accessibility and level of traffic stress: A case study of Toronto," Journal of Transport Geography, Elsevier, vol. 80(C).
    10. Zuo, Ting & Wei, Heng, 2019. "Bikeway prioritization to increase bicycle network connectivity and bicycle-transit connection: A multi-criteria decision analysis approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 52-71.
    11. Murray, Alan T., 2021. "Contemporary optimization application through geographic information systems," Omega, Elsevier, vol. 99(C).
    12. Mingzhu Song & Kaiping Wang & Yi Zhang & Meng Li & He Qi & Yi Zhang, 2020. "Impact Evaluation of Bike-Sharing on Bicycling Accessibility," Sustainability, MDPI, vol. 12(15), pages 1-16, July.
    13. Khashayar Kazemzadeh & Aliaksei Laureshyn & Lena Winslott Hiselius & Enrico Ronchi, 2020. "Expanding the Scope of the Bicycle Level-of-Service Concept: A Review of the Literature," Sustainability, MDPI, vol. 12(7), pages 1-30, April.
    14. Siying Zhu & Feng Zhu, 2020. "Multi-objective bike-way network design problem with space–time accessibility constraint," Transportation, Springer, vol. 47(5), pages 2479-2503, October.
    15. Harvey, John T. & Kendall, Alissa & Saboori, Arash & Ostovar, Maryam & Butt, Ali A. & Hernandez, Jesus & Haynes, Bruce, 2018. "Framework for Life Cycle Assessment of Complete Streets Projects," Institute of Transportation Studies, Working Paper Series qt0vw335dp, Institute of Transportation Studies, UC Davis.
    16. Wang, Kailai & Akar, Gulsah & Lee, Kevin & Sanders, Meredyth, 2020. "Commuting patterns and bicycle level of traffic stress (LTS): Insights from spatially aggregated data in Franklin County, Ohio," Journal of Transport Geography, Elsevier, vol. 86(C).
    17. Kyriakos Ketikidis & Apostolos Papagiannakis & Socrates Basbas, 2023. "Identifying and Modeling the Factors That Affect Bicycle Users’ Satisfaction," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    18. 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.
    19. Chang, Kuo-Hao & Sheu, Jiuh-Biing & Chen, Yenming J. & Chang, Chieh-Hsin & Liu, Chih-Hao, 2023. "Practice-based post-disaster road network connectivity analysis using a data-driven percolation theory-based method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    20. Wang, Haizhong & Palm, Matthew & Chen, Chen & Vogt, Rachel & Wang, Yiyi, 2016. "Does bicycle network level of traffic stress (LTS) explain bicycle travel behavior? Mixed results from an Oregon case study," Journal of Transport Geography, Elsevier, vol. 57(C), pages 8-18.

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