Jianling Li, June Chae-Un Sin



Desire for active transportation is on the rise.  However, the need for data and ways to incorporate public input in bicycle strategic planning are challenges faced by local governments with inadequate resources and time.   This paper presents a case study of bicycle strategic planning in the City of Grand Prairie, Texas. It illustrates how local governments can engage the public in bicycle planning through a public input process and use of GIS.  The approach is useful for local governments elsewhere to meet their immediate needs for data and to promote active transportation with limited resources and time.


Bicycle strategic planning; public input; intercept survey; small group; GIS

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Alliance for Biking and Walking (ABW). (2014). Bicycling and Walking in the U.S.: Benchmarking Reports. Washington, DC: Alliance for Biking & Walking. Retrieved May 18, 2014, from

Alliance for Biking and Walking (ABW). (2016). Bicycling and Walking in the U.S.: Benchmarking Reports. Washington, DC: Alliance for Biking & Walking. Retrieved March 26, 2017, from

Arampatzis, G., C.T. Kiranoudis, P. Scaloubacas, and D. Assimacopoulos. (2004). A GIS-Based Decision Support System for Planning Urban Transportation Policies. New Technologies in Transportation Systems 152 (2): 465–75. doi:10.1016/S0377-2217(03)00037-7.

Aultman- Hall, L., Dowds, J., & Lee, B. (2012). Innovative Data Collection for Pedestrians, Bicycles, and Other Non–Motor Vehicle Modes. TR News 280 (May - June 2012). Retrieved 5 16, 2014, from

City of Grand Prairie, (2015). Overview of Grand Prairie. Retrieved Oct. 8, 2015, from

Federal Highway Administration (FHWA). (2017). Federal-Aid Highway Program Funding for Pedestrian and Bicycle Facilities and Programs: FY 1992 to 2016 Obligations (Millions of Dollars). Retrieved 5 19, 2017, from

Forsyth, A., Krizek, K. J., & Agrawal, A. W. (2010). Measuring Walking and Cycling Using the PABS (Pedestrian and Bicycling Survey) Approach. San Jose State University. San Jose, CA: Mineta Transportation Institute ( Retrieved May 16, 2014, from

Guenzel, Brian. (2014). Grand Prairie Bike Trail Master Plan: Project Description. Institute of Urban Studies, UT Arlington.

Kuzmyak, J. Richard, Jerry Walters, Mark Bradley, and Kara M. Kockelman. (2014). Estimating Bicycling and Walking for Planning and Project Development: A Guidebook. NCHRP REPORT 770. Transportation Research Board of the National Academies, Washington, DC. Retrieved Oct. 8, 2015, from

Kuzmyak, J., & Dill, J. (2012, May-June). Walking and Bicycling in the United States: The Who, What, Where, and Why. TR News 280. Retrieved May 16, 2014, from

Larsen, Jacob, Zachary Patterson, and Ahmed El-Geneidy. (2013). Build It. But Where? The Use of Geographic Information Systems in Identifying Locations for New Cycling Infrastructure. International Journal of Sustainable Transportation, 7 (4): 299–317.

McGuckin, N. (2011). Biking in the U.S.: Trends from the National Household Travel Survey. National Bike Summit. Retrieved May 16, 2014, from

Milakis, D., & Athanasopoulos, K. (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, 35, 120–129.

Neutens, Tijs, Matthias Delafontaine, Darren M. Scott, and Philippe De Maeyer. (2012). A GIS-Based Method to Identify Spatiotemporal Gaps in Public Service Delivery. Applied Geography, 32 (2), 253–64. doi:10.1016/j.apgeog.2011.05.006.

Papinski, Dominik, and Darren M. Scott. (2011). A GIS-Based Toolkit for Route Choice Analysis. Special Issue: Geographic Information Systems for Transportation, 19 (3), 434–42. doi:10.1016/j.jtrangeo.2010.09.009.

Pucher, J., Buehler, R., Merom, D., & Bauman, A. (2011). Walking and Cycling in the United States, 2001-2009: Evidence from the National Household Travel Surveys. American Journal of Public Health, 101(S1), 310-317.

Rybarczyk, Greg (2014) Simulating bicycle wayfinding mechanisms in an urban environment. Urban, Planning and Transport Research, 2:1, 89-104, DOI:10.1080/21650020.2014.906909

Rybarczyk, G., & Wu, C. (2010). Bicycle facility planning using GIS and multi-criteria decision analysis. Applied Geography, 30(2), 282–293.

Ryus, Paul, Robert J. Schneider, Frank R. Proulx, Tony Hull, and Luis Miranda-Moreno. (2014). Methods and Technologies for Pedestrian and Bicycle Volume Data Collection. NCHRP Web-Only Document 205, National Cooperative Highway Research Program. Transportation Research Board of the National Academies, Washington, DC. Retrieved Oct. 8, 2015, from

Schroeder, P. & Wilbur, M. (2013, October). 2012 National survey of bicyclist and pedestrian attitudes and behavior, volume 1: Summary report. (Report No. DOT HS 811 841 A). Washington, DC: National Highway Traffic Safety Administration.

Snyder, Stephanie A., Jay H. Whitmore, Ingrid E. Schneider, and Dennis R. Becker. (2008). Ecological Criteria, Participant Preferences and Location Models: A GIS Approach toward ATV Trail Planning. Applied Geography, 28(4), 248–58. doi:10.1016/j.apgeog.2008.07.001.

Sperry, BR, S. Larson, D. Leucinger, S. Janowiak, and CA Morgan. (2012). Design and Implementation of Internet-Based Traveler Intercept Survey. TRANSPORTATION RESEARCH RECORD, 2285 (2285), 84–90.

The United States Census Bureau. (2015a). Population Estimates: Annual Estimates of the Resident Population for Incorporated Places: April 1, 2010 to July 1, 2014. Retrieved June 4, 2015 from

The United States Census Bureau. (2015b). Census of Population and Housing. Retrieved April 29, 2015 from

Troped, P., Whitcomb, H., Hutto, B., Reed, J., and Hooker, S. (2009). Reliability of a Brief Intercept Survey for Trail Use Behaviors. JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 6(6), 775–780.

Tilahun, N. Y., Levinson, D. M., & Krizek, K. J. (2007). Trails, lanes, or traffic: Valuing bicycle facilities with an adaptive stated preference survey. Transportation Research Part A: Policy and Practice, 41(4), 287–301.

Tsenkova, Sasha, and David Mahalek (2014) The impact of planning policies on bicycle-transit integration in Calgary. Urban, Planning and Transport Research, 2:1, 126-146, DOI:10.1080/21650020.2014.906910


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