@article{ref1,
title="Understanding bike-sharing as a commute mode in Singapore: an agent-based simulation approach",
journal="Transportation research part D: transport and environment",
year="2023",
author="Cai, Yutong and Ong, Ghim Ping and Meng, Qiang",
volume="122",
number="",
pages="e103859-e103859",
abstract="Although bike-sharing has gained great popularity as a sustainable commuting mode around the world, it has been performed poorly regarding its low mode share in some countries, including Singapore. As a response, this study proposes a novel research framework that incorporates a mixed logit model and customized agent-based travel simulations to investigate the underlying reasons behind the unpopularity of bike-sharing. A mixed logit model is calibrated according to the responses from a travel survey to understand commuters' perceptions towards bike-sharing in Singapore. The commuters' perceptions obtained are then incorporated in tailored agent-based simulations to test the effects of promotion methods on the resulting mode share of bike-sharing as a commuting mode. The numerical experiment conducted in Singapore shows that, even with a large amount of subsidies on bike-sharing and timely relocation operations, commuters in Singapore are still very reluctant to take it as a daily commute mode.<p /> <p>Language: en</p>",
language="en",
issn="1361-9209",
doi="10.1016/j.trd.2023.103859",
url="http://dx.doi.org/10.1016/j.trd.2023.103859"
}