Bicycling and Nonmotorized Transportation

Greer, Donald L. (2000). Omaha Recreational Trails: Their effect on property values and public safety. University of Nebraska at Omaha, National Park Service, Omaha.  Study examining the impact of exisiting trail systems in Omaha in terms of property values and trail related theft and property damage.

League of Michigan Bicyclists (2002). Benefits of Bicycling for Adults, League of Michigan Bicyclists.  Short list of health and other benefits relating to bicycling.

Saelensminde, Kjartan (2004). Cost-benefit analyses of walking and cycling track networks taking into account insecurity, health effects and external costs of motorized traffic. Institute of Transport Economics.  Transportation Research Part A, Vol. 38, No. 8, pp. 593-606.

Siderelis, C. and R.L. Moore (1995). Outdoor recreation net benefits of rail-trails. Journal of Leisure Research, 27, 4: 344-359. Net economic values were estimated with the individual travel cost method for user samples from three rail-trails in geographically diverse regions of the U.S. Estimates of rail-trail demands were derived from count data and continuous data models. Model specifications included travel costs, activity variables, and other user group characteristics, In general, recreation users valued rail-trails located in rural areas more highly than in suburban areas. Consumer surplus trip values were relatively stable across recreation demand models.

U.S. Department of Transportation (1992). Case Study No. 7: Transportation Potential and Other Benefits of Off-Road Bicycle and Pedestrian Facilities. PD-92-040. U.S. Department of Transportation, Washington, DC.

U.S. Department of Transportation (1992). Case Study No. 14: Benefits of Bicycling and Walking to Health. PD-93-025. U.S. Department of Transportation, Washington, DC.

U.S. Department of Transportation (1993). Case Study No. 15: The Environmental Benefits of Bicycling and Walking. PD-93-015. U.S. Department of Transportation, Washington, DC. Case study attempting to quantify the pollution and fuel use avoided by walking and bicycling. Case study estimates the number of miles walked or bicycled, the number of miles driven in a car substituted by walking and bicycling, and the per-mile fuel consumption and emission of the avoided miles driven. Results suggest that actions to expand human-powered transportation could lower pollution at a lower per-unit cost than many other strategies.