Direct demand modelling approach to forecast cycling activity for a proposed bike facility

In the United States, planning and design efforts to generate bike-friendly environments through the greater provision of safe, low-stress bike infrastructure in our cities continue to advance. In Cambridge, Massachusetts, construction of the Grand Junction Pathway–an envisioned shared-use pathway–is at the heart of a citywide effort to enhance its active transportation system. However, a challenge–shared by many public agencies given that data on cycling activity are rarely frequently systematically gathered–is the creation of a baseline estimate of cycling demand for this planned network link. Using short-duration manual data supplemented with long-duration count data, this study employs a state-of-the-practice method for generating annual average daily bicycle trips for current bike network facilities. A statistical modelling strategy is then undertaken to forecast the volume of daily cyclists that the proposed off-street, shared-use path could expect to attract given its physical context and the socioeconomic attributes of nearby residents.