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A Study about Ridesourcing Traveling Choice Model for Beijing Central City

机译:北京市中心城市跨地区出行选择模型研究

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Pilot studies were carried out to explore ridesourcing service (RS) traveling choice characteristics from customer viewpoints. First, a questionnaire was implemented by considering spatial distribution characteristics of RS demands, expert experiences and customer experiences. Then, the characteristics, single influencing factor and multiple combinatory influencing factors for RS choice were analyzed. Also, a RS traveling choice model for Beijing Central City was established by using binary logistic regression analysis through two stages of all-factor and sensitive factor analysis. The results show that the primary influencing factors of RS choice are salary levels, RS patterns, traveling distance, and ease of subway transfer levels. The model and influencing factors would be helpful for traffic practitioners in similar regions.
机译:进行了试点研究,以从客户的角度探讨拼车服务(RS)的出行选择特征。首先,通过考虑RS需求的空间分布特征,专家经验和客户经验来实施问卷。然后,分析了RS选择的特点,单个影响因素和多个组合影响因素。此外,通过二元逻辑回归分析,通过全要素和敏感要素两个阶段的分析,建立了北京市中心城区的RS出行选择模型。结果表明,RS选择的主要影响因素是工资水平,RS模式,行进距离和地铁换乘水平的难易程度。该模型和影响因素将对类似地区的交通从业人员有所帮助。

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