This research presents network analysis tools for estimating bicycle demand and bicycle volumes on a transportation network. There are three main procedures used in the development of the network analysis tools: an initial bicycle origin-destination (O-D) demand generation procedure, a bicycle traffic assignment procedure, and a bicycle O-D matrix adjustment procedure. The initial bicycle O-D generation procedure adopts a doubly constrained gravity model to estimate an initial bicycle O-D matrix. Then, a two-stage bicycle traffic assignment model allocates the initial bicycle O-D matrix to the bicycle network to obtain the bicycle traffic flow pattern. Lastly, the initial bicycle O-D matrix goes through a readjustment process with a path flow estimator so that the final bicycle O-D matrix can reproduce better matches with the observed bicycle counts when performing the bicycle traffic assignment procedure. The paper concludes with a case study using the Utah State University (USU) campus to demonstrate the applicability and feasibility of the network analysis tools developed in this research. (Author/publisher)
Abstract