@article{ref1,
title="Understanding the determinants of young commuters' metro-bikeshare usage frequency using big data",
journal="Travel behaviour and society",
year="2020",
author="Liu, Yang and Ji, Yanjie and Feng, Tao and Timmermans, Harry",
volume="21",
number="",
pages="121-130",
abstract="This paper examines the determinants of young commuters' frequency of using public bikes as a feeder mode to/from metro. Using three-week metro- and public bike- smart card data from Nanjing, 1,154 metro-bikeshare commuters aged 18-35 were extracted. As possible factors influencing the use of the combined mode, individual and household socio-demographics, travel-related attributes and built environment characteristics were extracted from multi-source data. A negative binomial regression model was used to examine the effects of these factors on usage frequency. We found that young commuters are the biggest group using metro-bikeshare system. They use public bikes frequently to transfer to/from metro when the cycling time is less than 10 min and the transfer happens during the morning peak. Built environment characteristics also influence usage frequencies, with high-density bike facilities being related to higher cycling rates in inner areas, and residential /employment locations related to lower rates of cycling in the core areas. This suggests that different measures and policies designed to encourage the integrated use of metro-bikeshare should be put forward for different regions.<p /> <p>Language: en</p>",
language="en",
issn="2214-367X",
doi="10.1016/j.tbs.2020.06.007",
url="http://dx.doi.org/10.1016/j.tbs.2020.06.007"
}