Development of multi-class, multi-criteria bicycle traffic assignment models and solution algorithms

016505922015Final Report, 4/1/2015 - 8/30/2017PDFTech ReportTRCLC 15-10TRCLC 15-10Traffic assignmentBicycle travelBicyclingDecision makingRoute choiceShortest path algorithmsTravel demandMulti-objective shortest pathmulticlasscyclist route choicebicycleUnited StatesWestern Michigan University. Transportation Research Center for Livable CommunitiesRuy, SeungkyuChen, AnthonySu, JacquelineChristensen, KeithChoi, KeechooUtah State University. Department of Landscape Architecture and Environmental PlanningWestern Michigan University. Transportation Research Center for Livable CommunitiesUniversity Transportation Centers Program (U.S.)Cycling is gaining popularity both as a mode of travel in urban communities and as an alternative mode to private motorized vehicles due to its wide range of benefits (health, environmental, and economical). However, this change in modal share is not reflected in current transportation planning and travel demand forecasting modeling processes. The existing practices to model bicycle trips in a network are not sophisticated enough to describe the full cyclist experience in route decision-making. The purpose of this paper is to develop a multi-class and multi-criteria bicycle traffic assignment model that not only accounts for multiple user classes by acknowledging that there are different types of cyclists with varying levels of biking experience, but also for relevant factors that may affect each user classes' behavior in route choice decisions. The multi-class, multi-criteria bicycle traffic assignment model is developed in a two-stage process. The first stage examines key criteria to generate a set of non-dominated paths for each user class, and the second stage determines the flow allocation to each user's set of efficient paths. Numerical experiments are then conducted to demonstrate the two-stage approach for the multi-class, multi-criteria bicycle traffic assignment model