@article{ref1,
title="Direct demand modelling approach to forecast cycling activity for a proposed bike facility",
journal="Transportation planning and technology",
year="2021",
author="Reardon, Timothy G. and Gehrke, Steven R.",
volume="44",
number="1",
pages="1-15",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="0308-1060",
doi="10.1080/03081060.2020.1849959",
url="http://dx.doi.org/10.1080/03081060.2020.1849959"
}