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The space race: A framework to evaluate the potential travel-time impacts of reallocating road space to bicycle facilities

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  • Burke, Charles M.
  • Scott, Darren M.

Abstract

When building a cycling network, planners have the option of constructing bicycle facilities at different design widths. However, increasing the width of bicycle facilities reduces lane space for motor vehicles, in turn impacting a road's level of service. Presently, no framework exists to systematically measure the potential travel time consequences of employing wider bicycle facilities on a road network. In this paper, we demonstrate how the Network Robustness Index (NRI) can be used to identify the bicycle facility design that limits traffic disruption for any road link in an urban network. To demonstrate the utility of the new approach, we use a theoretical, generalizable network and compare it against an approach used in current bike lane planning practice. The results show that if a planner is challenged to build a road network of wider bicycle facilities while at the same time minimizing potential impacts on motor vehicle traffic, their decision-making power improves when using the NRI to support this aim. If widely adopted, this new evaluation framework may lead to the development of better urban cycling networks that consist of wider bicycle facilities.

Suggested Citation

  • Burke, Charles M. & Scott, Darren M., 2016. "The space race: A framework to evaluate the potential travel-time impacts of reallocating road space to bicycle facilities," Journal of Transport Geography, Elsevier, vol. 56(C), pages 110-119.
  • Handle: RePEc:eee:jotrge:v:56:y:2016:i:c:p:110-119
    DOI: 10.1016/j.jtrangeo.2016.09.004
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    References listed on IDEAS

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    1. Anna Nagurney & David Boyce, 2005. "Preface to “On a Paradox of Traffic Planning”," Transportation Science, INFORMS, vol. 39(4), pages 443-445, November.
    2. Milakis, Dimitris & Athanasopoulos, Konstantinos, 2014. "What about people in cycle network planning? applying participative multicriteria GIS analysis in the case of the Athens metropolitan cycle network," Journal of Transport Geography, Elsevier, vol. 35(C), pages 120-129.
    3. Pucher, John & Buehler, Ralph & Seinen, Mark, 2011. "Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 451-475, July.
    4. Sullivan, J.L. & Novak, D.C. & Aultman-Hall, L. & Scott, D.M., 2010. "Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: A link-based capacity-reduction approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 323-336, June.
    5. Dietrich Braess & Anna Nagurney & Tina Wakolbinger, 2005. "On a Paradox of Traffic Planning," Transportation Science, INFORMS, vol. 39(4), pages 446-450, November.
    6. Broach, Joseph & Dill, Jennifer & Gliebe, John, 2012. "Where do cyclists ride? A route choice model developed with revealed preference GPS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1730-1740.
    7. Sanders, Rebecca L, 2013. "Examining the Cycle: How Perceived and Actual Bicycling Risk Influence Cylcing Frequency, Roadway Design Preferences, and Support for Cycling Among Bay Area Residents," University of California Transportation Center, Working Papers qt1tf5v738, University of California Transportation Center.
    8. Sanders, Rebecca Lauren, 2013. "Examining the Cycle: How Perceived and Actual Bicycling Risk Influence Cycling Frequency, Roadway Design Preferences, and Support for Cycling Among Bay Area Residents," University of California Transportation Center, Working Papers qt6ct7x8hp, University of California Transportation Center.
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    Cited by:

    1. 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.
    2. Jian-gang Shi & Hongyun Si & Guangdong Wu & Yangyue Su & Jing Lan, 2018. "Critical Factors to Achieve Dockless Bike-Sharing Sustainability in China: A Stakeholder-Oriented Network Perspective," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    3. Georgiana Madar & Hanna Maoh & William Anderson, 2020. "Examining the robustness of the Ontario truck road network," Journal of Geographical Systems, Springer, vol. 22(3), pages 309-333, July.

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