@article{ref1,
title="An approach to imputing destination activities for inclusion in measures of bicycle accessibility",
journal="Journal of transport geography",
year="2020",
author="Li, Aoyong and Huang, Yizhe and Axhausen, Kay W.",
volume="82",
number="",
pages="e102566-e102566",
abstract="This paper proposes a new method to estimate bicycle accessibility for various trip purposes based on a massive dockless bike-sharing dataset in Shanghai, China. Specifically, a Dirichlet multinomial regression topic model (DMR model) is applied to identify bicycle trajectories' trip purposes, simultaneously considering arrival time and drop-off location. Based on obtained trip purposes, we estimate impedance functions using a negative exponential function. Finally, based on estimated impedance functions, two cases of bicycle accessibility for two different purposes - restaurant and hospital - are presented in Shanghais central area. The results show that almost 90% of bicycle trips are less than 30 min or 5 km. Although the difference between the impedance functions between various trip purposes is not significant, we find that trip purposes of &quot;Work and School&quot; have the highest travel impedance for bicyclists. Cyclists in Shanghai accept longer bicycle travel times for leisure (e.g., shopping) than for commuting (e.g., work or school).<p /> <p>Language: en</p>",
language="en",
issn="0966-6923",
doi="10.1016/j.jtrangeo.2019.102566",
url="http://dx.doi.org/10.1016/j.jtrangeo.2019.102566"
}