Bicycle/Pedestrian Trip Generation Workshop. Summary. Held in Washington, DC. in November 1996.
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1998-03-01
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Abstract:In November 1996, the Federal Highway Administration (FHWA) sponsored a Trip Generation Workshop in Washington, DC. Many leading non-motorized modelers came to exchange insights on the state-of-the-practice for non-motorized transportation modeling. For example, Bruce Landis of Sprinkle Consulting Engineers discussed their latent demand score model. It estimates the probability of bicycle travel on individual road segments based on their proximity to and extent of adjacent trip generators and attractors. Henk Tromp from DHV in the Netherlands demonstrated their cycle network model. William Schwartz and Earl Ruiter of Cambridge Systematics discussed their experiences with: 1) incorporating bicycling and walking into regional travel demand modes; 2) treating bicycling and walking as part of transportation programs in downtowns and other activity centers; and 3) estimating benefits and costs of bicycle and pedestrian measures. Jim Ercolano of the New York State Department of Transportation introduced a "sketch-plan" method to estimate peak-hour pedestrian trips at intersection and midblock locations. Shawn Turner of the Texas Transportation Institute described a methodology that will provide personnel with the information and decision-making framework to assess existing and proposed travel demand by bicyclists and pedestrians. Michael Culp and Sam Zimmerman of FHWA discussed TRANSIMS, which makes microsimulations of trips on a regional basis. Michael Replogle of the Environmental Defense Fund covered the development of discrete choice models that are sensitive to bicycle and pedestrian factors. The workshop participants identified needs such as data collection; enhancing and updating existing data; and planning at the system-wide, corridor, and project levels. It was unanimously agreed that a follow-up meeting should be held in two years to evaluate progress in the United States and abroad in the area of trip generation modeling and application.
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