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Unlock a Bike, Unlock New York: A Study of the New York Citi Bike System

  • Yinghao Chen
  • Zhiyuan Liu
  • Di HuangEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 98)

Abstract

As urban populations grow, there is a growing need for efficient and sustainable modes, such as bicycling. The shortage of bicycle demand data is a barrier to design, planning, and research efforts in bicycle transportation before. In July 2013, the New York City implements the bike-sharing system, Citi Bike, and makes their data available for analysis. Data used in this study includes the information about active stations, average bicycles available, total annual membership, maintenance issues, events of vandalism and calls and emails to system center. Through statistic description, partial correlation analysis and principle component analysis, final variables are obtained. Finally, a Poisson regression model was adopted for the analysis. The analysis results are useful for understanding the influential factors including temperatures and weathers, which reflected by seasons generally, and supplements associated with rules or policy of bike-sharing system. In addition, the inferential results of these models provide guidance on future planning of station and bike supplement.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of TransportationSoutheast UniversityNanjingChina

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