Unraveling Mobility Pattern of Dockless Bike-sharing Use in Shanghai

被引：0

作者：

Fu X.-M. ^{[1
]}

Juan Z.-C. ^{[2
]}

机构：

[1] School of Management, Shandong University, Jinan

[2] Antai College of Economics and Management, Shanghai Jiaotong University, Shanghai

来源：

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2020年 / 20卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Classification; Dockless bike-sharing; Herfindahl-Hirschman Index(HHI); Mobility pattern; Regularity; Urban traffic;

D O I：

10.16097/j.cnki.1009-6744.2020.03.033

中图分类号：

学科分类号：

摘要：

Through the analysis of one-week records from Mobike in Shanghai, this study investigates the underlying mobility pattern of bike-sharing use behavior from a temporal perspective. The statistical results show a significant difference between weekdays-and weekends-cycling behavior. Two peaks are found within weekdays, while the biking trips are almost evenly distributed on weekends. The cyclers are classified into two and three groups for every day across weekdays and weekends, respectively, where each group is characterized by a distinctive distribution of biking start time and duration. Herfindahl-Hirschman Index (HHI) for the two combination, i.e., day-of-week-start time and day-of-week-duration, reflects high temporal regularity associated with bike-sharing use. And the larger standard deviation of HHI for the combination of day-of-week - start time confirms the flexibility of bicycling travel. This study is expected to unravel the mobility pattern of dockless bike-sharing use, which could further contribute to its efficiency evaluation and system improvement. Copyright © 2020 by Science Press.

引用

页码：219 / 226

页数：7

共 5 条

[1] FISHMAN E, WASHINGTON S, HAWORTH N., Bike share's impact on car use: Evidence from the United States, Great Britain, and Australia, Transportation Research Part D: Transport and Environment, 31, pp. 13-20, (2014)
[2] MARTIN E W, SHAHEEN S A., Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two US cities, Journal of Transport Geography, 41, pp. 315-324, (2014)
[3] JI Y J, XIE X L, MA X W, Et al., Exploring psychology factors influencing the transfer willingness from car to dockless bike-sharing, Journal of Transportation Systems Engineering and Information Technology, 19, 3, pp. 188-194, (2019)
[4] YUAN P W, DONG X Q, ZHAI H Y, Et al., Choice behavior of bike-sharing based on Nested Logit model, Journal of Transportation Systems Engineering and Information Technology, 18, 5, pp. 191-196, (2018)
[5] SUSILO Y O, AXHAUSEN K W., Repetitions in individual daily activity-travel-location patterns: A study using the Herfindahl-Hirschman Index, Transportation, 41, 5, pp. 995-1011, (2014)

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