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Influence of the built environment on E-scooter sharing ridership: A tale of five cities

机译:建筑环境对电子摩托车共享乘客的影响:五个城市的故事

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摘要

Electric scooter (e-scooter) sharing systems (ESSs) have been widely adopted by many cities around the world and have attracted a growing number of users. Although some studies have explored the usage characteristics and effects of the built environment on ESS ridership using one city as an example, few studies have considered multiple cities to obtain generalizable and robust results. To fill this research gap, we collect the ESS trip data of five cities in the U.S., namely Austin, Minneapolis, Kansas City, Louisville, and Portland, and explore the effects of the built environment on ESS ridership after controlling for socioeconomic factors. The temporal distributions of e-scooter ridership of different cities are similar, having a single peak period on weekdays and weekends between 11:30 and 17:30. In terms of spatial distribution, the ESS ridership is higher in universities and urban centers compared to other areas. Multilevel negative binomial model results show that ESS trips are positively correlated with population density, employment density, intersection density, land use mixed entropy, and bus stop density in the census block group. E-scooter ridership is negatively correlated with the median age of the population in the census block group and distance to the city center. The findings in this article can help operators understand the factors that affect the ridership of shared e-scooters, determine the changes in ridership when the built environment changes, and identify high-ridership areas when ESS is implemented in new cities.
机译:电动滑板车(E-Scooter)共享系统(ESS)已被世界各地许多城市广泛采用,并吸引了越来越多的用户。虽然一些研究探索了使用一个城市的ESS乘坐的建筑环境的使用特征和影响,但是很少有研究已经考虑了多个城市,以获得更广泛和强大的结果。为了填补这项研究差距,我们收集美国五个城市的ESS旅行数据,即奥斯汀,明尼阿波利斯,堪萨斯城,路易斯维尔和波特兰,并探讨了社会经济因素控制后建造环境对ESS骑乘的影响。不同城市的E-Scooter乘积的时间分布类似,在11:30和17:30之间有一个单一的峰值期间和周末。在空间分配方面,与其他领域相比,大学和城市中心的ESS乘客更高。多级负二项式模型结果表明,ESS途径与人口密度,就业密度,交叉线密度,土地利用混合熵和人口普查组中的总线停止密度正相关。 E-Scooter乘客与人口普查块组中的人口中位数和到市中心的距离负相关。本文中的调查结果可以帮助运营商了解影响共享电子踏板车乘积的因素,确定建筑环境发生变化时乘坐的变化,并在新城市实施ESS时识别高乘客区域。

著录项

  • 来源
    《Journal of Transport Geography》 |2021年第5期|103084.1-103084.9|共9页
  • 作者单位

    Southwest Jiaotong Univ Natl United Engn Lab Integrated & Intelligent Tra Sch Transportat & Logist Inst Syst Sci & Engn Natl Engn Lab Integrated Tra Chengdu Peoples R China;

    Southwest Jiaotong Univ Natl United Engn Lab Integrated & Intelligent Tra Sch Transportat & Logist Inst Syst Sci & Engn Natl Engn Lab Integrated Tra Chengdu Peoples R China;

    Southwest Jiaotong Univ Natl United Engn Lab Integrated & Intelligent Tra Sch Transportat & Logist Inst Syst Sci & Engn Natl Engn Lab Integrated Tra Chengdu Peoples R China;

    Southwest Jiaotong Univ Natl United Engn Lab Integrated & Intelligent Tra Sch Transportat & Logist Inst Syst Sci & Engn Natl Engn Lab Integrated Tra Chengdu Peoples R China;

    Southwest Jiaotong Univ Dept Urban & Rural Planning Chengdu Peoples R China;

    Univ Tennessee Dept Civil & Environm Engn 325 John D Tickle Bldg 851 Neyland Dr Knoxville TN 37996 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Travel demand; Land use; Multilevel model; Spatiotemporal data; Micro mobility; Shared mobility;

    机译:旅行需求;土地使用;多级模型;时空数据;微观流动性;共享移动性;

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