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Investigating the Impact of Different Attributes on Bicycling Mode Share as a Multimodal Connectivity Strategy in Large Cities: A Case Study in Houston
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2019-09-01
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[PDF-1.83 MB]
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Edition:Final Report
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Abstract:The goal of this research is to investigate the joint effects of built environment and temporal variables on hourly bike share usage in Houston. For this purpose, hourly ridership is defined as the sum of hourly trips. For instance, ridership means the number of people using Houston BCycle in every hour. Station-level ridership means the number of people who check out and return the bicycles at each bike share station. Although a significant number of studies have studied various variables that have impact on bike share usage in different cities worldwide, none of the studies have focused on the bike share usage in Houston. To fill this gap, a large and comprehensive ridership data were obtained from Houston BCycle. Built environment characteristics were also collected from different sources to estimate the effect of these variables on bike share usage. Specific research objectives include: Review the literatures related to bike share systems, and the effects of built environment and temporal attributes on bike share demand. Analyze the bike share station activities. Employ a model to analyze and investigate the bike share station activities and the effect of built environment and temporal attributes on bike share demand. Identify important attributes that affect bike share demand and provide insights to enhance bike share station location decisions and improve the efficiency of the bike system by rebalancing. Recommend the equity considerations.
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