Tools and Strategies for Wide-Scale Bicycle Level-of-Service Analysis
Publication: Journal of Urban Planning and Development
Volume 139, Issue 4
Abstract
This paper introduces new tools and strategies to assess the perceived comfort and safety of bicycle travel across a large geographic area. The tools are based on the equation for bicycle level-of-service in a U.S. government manual. The equation requires substantial data that can be time-intensive and expensive to collect for a wide-scale area. For this reason, the paper begins by discussing data-availability issues with a survey that was sent to every city and county in Idaho. Of the 115 responses, no community had all the necessary data and many had very little data. Next, the paper describes a sensitivity analysis that engineers and planners can follow to identify the critical data that should be collected for their community. The sensitivity analysis is described using two case study communities and reveals, among other things, that input-output sensitivity for bicycle level-of-service depends on roadway functional class. The tools and strategies in this paper will save communities time and money when developing plans or prioritizing projects.
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Acknowledgments
This project was funded in part by a grant from the Idaho Transportation Department.
References
Allen-Munley, C., and Daniel, J. (2006). “Urban bicycle route safety rating model application in Jersey City, New Jersey.” J. Transport. Eng., 132(6), 499–507.
ArcGIS 10 [Computer software]. Esri, Redlands, CA.
Aultman-Hall, L., Roorda, M., and Baetz, B. (1997). “Using GIS for evaluation of neighborhood pedestrian accessibility.” J. Urban Plann. Dev., 123(1), 10–17.
Bowman, B., Vecellio, R., and Haynes, D. (1994). “Strategies for increasing bicycle and pedestrian safety and use.” J. Urban Plann. Dev., 120(3), 105–114.
Davis, J. (1987). Bicycle safety evaluation, Chattanooga-Hamilton County Regional Planning Commission, Chattanooga, TN.
Dowling, R. G., et al. (2008). Multimodal level of service analysis for urban streets, Rep. 616, National Cooperative Highway Research Program, Washington, DC.
Elias, A. (2011). “Key factors affecting multimodal level of service.” Proc. Transportation Research Board Annual Meeting, Washington, DC, 1–18.
Emery, J., and Crump, C. (2003). “The WABSA project: Assessing and improving your community’s walkability and bikeability.” Rep. Prepared for the North Carolina Dept. of Health Behavior and Health Education, Univ. of North Carolina, Chapel Hill, NC.
Gattis, J., and Watts, A. (1999). “Urban street speed related to width and functional class.” J. Transport. Eng., 125(3), 193–200.
Harkey, D. L., Reinfurt, D. W., and Knuiman, M. (1998a). “Development of the bicycle compatibility index.”, Transportation Research Board, Washington, DC, 13–20.
Harkey, D. L., Reinfurt, D. W., and Sorton, A. (1998b). “The bicycle compatibility index: A level of service concept, implementation manual.”, Washington, DC.
Iacono, M., Krizek, K. J., and El-Geneidy, A. (2010). “Measuring non-motorized accessibility: Issues, alternatives, and execution.” J. Transport. Geogr., 18(1), 133–140.
Kingsbury, K., Lowry, M., and Dixon, M. (2011). “What makes a “complete street” complete? A robust definition based on context and public input.”, Transportation Research Board, Washington, DC, 103–110.
Krykewycz, G., Pollard, C., Canzoneri, N., and He, E. (2011). “Web-based crowdsourcing approach to improve areawide bikeability scoring.”, Transportation Research Board, Washington, DC, 1–7.
Lowry, M., and Callister, D. (2012) “Analytical tools for identifying bicycle route suitability, coverage, and continuity.”, National Institute for Advanced Transportation Technology, Washington, DC.
Lowry, M., Callister, D., Gresham, M., and Moore, B. (2012). “Assessment of communitywide bikeability with bicycle level of service.”, Transportation Research Board, Washington, DC, 41–48.
Pedestrian, and Bicycle Information Center (PBIC). (2002). Bikeability checklist: How bikeable is your community, U.S. Dept. of Transportation, Washington, DC.
Schlossberg, M., Agrawal, A. W., and Irvin, K. (2007). “An assessment of GIS-enabled walkability audits.” Urban Reg. Inform. Syst. Assoc. J., 19(2), 5–11.
Sorton, A., and Walsh, T. (1994). “Bicycle stress level as a tool to evaluate urban and suburban bicycle compatibility.”, Transportation Research Board, Washington, DC, 17–24.
Transportation Research Board (TRB). (2011a). “Highway capacity manual, 2010 discussion forum.” 〈http://hcm2010.org〉 (Oct. 19, 2012).
Transportation Research Board (TRB). (2011b). 2010 highway capacity manual, Transportation Research Board, Washington, DC.
Turner, S., Shafer, S., and Stewart, W. (1997). “Bicycle suitability criteria for state roadways in Texas.”, Texas Transportation Institute, College Station, TX.
Uslu, C., Altunkasa, F. M., Boyacigil, O., Konakl, N., and Salic, A. (2012). “Bicycle master plan for Adana, Turkey.” J. Urban Plann. Dev., 138(1), 62–69.
Information & Authors
Information
Published In
Journal of Urban Planning and Development
Volume 139 • Issue 4 • December 2013
Pages: 250 - 257
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Oct 19, 2012
Accepted: May 14, 2013
Published online: May 16, 2013
Discussion open until: Oct 16, 2013
Published in print: Dec 1, 2013
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