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Spatial variation in shared ride-hail trip demand and factors contributing to sharing: Lessons from Chicago

机译:共享骑行冰雹行程需求的空间变化和有助于分享的因素:芝加哥的课程

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As ride-hailing becomes more common in cities, public agencies increasingly seek transportation network company (TNC) service data to understand (and potentially regulate) demand and service response. Despite the increase in ride-hailing or TNC demand and subsequent research into its determinants, there remains little research on shared TNC trips and the spatial distribution of trip demand across demographic and land use variables. Using Chicago as a case study, shared TNC trip data from 2019 was used to estimate the count and ratio of shared ride services, based on built environment, demographic, location, time of day, and trip details. Findings reveal that trip length, day of week designation, density of pedestrian and multi-modal infrastructure, and underlying socioeconomic characteristics of the origin zones influence the proportion and count of shared ride-hail trips. Of concern is that those using transit or active modes may be taking more ride-hailing trips, but these Chicago-region results indicate that the provision of pedestrian infrastructure and remoteness to transit stops result in fewer shared trips.
机译:随着骑行者在城市变得更加普遍,公共机构越来越多地寻求运输网络公司(TNC)服务数据,以了解(并潜在规范)需求和服务响应。尽管乘坐乘客或TNC需求和随后的决定因素进行了增加,但仍然没有对共享TNC旅行的研究以及人口统计和土地利用变量的行程需求的空间分布。使用芝加哥作为案例研究,2019年的共享TNC跳闸数据用于估计共享骑行服务的计数和比率,基于建造的环境,人口统计,日期和旅行细节。调查结果表明,旅行长度,周日的指定,行人密度和多模态基础设施,以及原产地区的潜在社会经济特征影响了共享乘客旅行的比例和计数。关注的是,使用过境或活动模式的人可能会采用更多的乘车程度,但这些芝加哥区域结果表明,向运输停止提供行人基础设施和远程性导致共享旅行更少。

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