Riding to Wall Street: determinants of commute time using Citi Bike
Publication in refereed journal

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其它資訊
摘要Commuting to work by shared bicycle is an increasingly popular transportation option. We examine the trip data from Citi Bike, the shared bicycle program of New York City, restricting the analysis to morning rides into the Wall Street area, a destination for which workers are likely to be sensitive to their arrival time. Among the frequent commute origins, commuting later in the morning lengthens the time on the road, while demographic variables such as gender, age and subscription also significantly predict commute time. Congestion appears to increase for bicycle commuters directly before financial markets open. Weather-related factors have a small impact on biking commute time compared to other factors. When considering the model specifications as potential user models of commute time, the bicycle commuters outperformed the models for shorter commutes and for commutes occurring later in the morning, which is consistent with the ability and incentive to increase efforts to reduce their riding time under these conditions.
出版社接受日期12.02.2019
著者Weixing Ford, Jaimie W. Lien, Vladimir V. Mazalov, Jie Zheng
期刊名稱International Journal of Logistics Research and Applications
出版年份2019
卷號22
期次5
出版社Taylor & Francis (Routledge): STM, Behavioural Science and Public Health Titles
出版地UK
頁次473 - 490
國際標準期刊號1367-5567
電子國際標準期刊號1469-848X
語言美式英語
關鍵詞Bicycle commuting, shared bicycle, New York City, trip duration prediction

上次更新時間 2021-19-10 於 00:33