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The influence of campus characteristics, temporal factors, and weather events on campuses-related daily bike-share trips

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  • Kutela, Boniphace
  • Teng, Hualiang

Abstract

Recently, there has been an increase in bike-sharing programs on university campuses. However, there is scarce literature on the campus characteristics that are most favorable for these programs. This study evaluates the impacts of campus characteristics, temporal factors, and weather events on daily bike-sharing trips within U.S. university campuses. The study used data collected between 2014 and 2018 from 177 stations located within 25 campuses. With an average of 38 trips per day, a high variability in the number of daily trips was observed, with a maximum of 708 and a minimum of zero. Both traditional Negative Binomial (NB) and Mixed Effect Negative Binomial (MENB) models were applied, and their performances were compared based on a set of criteria. The MENB performed better than NB. The MENB model results revealed that among campus related factors, number of faculty/staffs, number of full-time students, private universities, campus size, and Latino and Asian student dominance are positively associated with an increase in trips per day, whereas number of part-time students, distance from campus to central business district, and students' ages are negatively associated. The temporal factors depicted that weekends, public holidays, time between semesters, and summer semester were associated with decreases in number of daily trips, while years in operation and fall semesters were positively associated with daily ridership. Severe weather events resulted in less bike-sharing, and average daily temperature was positively associated with number of trips. Campus bike-sharing planners can utilize these findings for estimating daily bike-sharing ridership on campuses.

Suggested Citation

  • Kutela, Boniphace & Teng, Hualiang, 2019. "The influence of campus characteristics, temporal factors, and weather events on campuses-related daily bike-share trips," Journal of Transport Geography, Elsevier, vol. 78(C), pages 160-169.
    • Handle: RePEc:eee:jotrge:v:78:y:2019:i:c:p:160-169
    DOI: 10.1016/j.jtrangeo.2019.06.002
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    1. Xiaolu Zhou, 2015. "Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-20, October.
    2. Roger Beecham & Jo Wood, 2014. "Exploring gendered cycling behaviours within a large-scale behavioural data-set," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(1), pages 83-97, February.
    3. Wafic El-Assi & Mohamed Salah Mahmoud & Khandker Nurul Habib, 2017. "Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto," Transportation, Springer, vol. 44(3), pages 589-613, May.
    4. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    5. Kyle Gebhart & Robert Noland, 2014. "The impact of weather conditions on bikeshare trips in Washington, DC," Transportation, Springer, vol. 41(6), pages 1205-1225, November.
    6. Tien Dung Tran & Nicolas Ovtracht & Bruno Faivre D’arcier, 2015. "Modeling Bike Sharing System using Built Environment Factors," Post-Print halshs-01474166, HAL.
    7. Noland, Robert B. & Smart, Michael J. & Guo, Ziye, 2016. "Bikeshare trip generation in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 164-181.
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    5. Jiageng, Niu & Lanlan, Zheng & Xianghong, Li, 2022. "A study on the trip behavior of shared bicycles and shared electric bikes in Chinese universities based on NL model—Henan Polytechnic University as an example," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
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