Chapter
Aug 12, 2020

The Effects of the Abnormal Tube Service Status on the Public Bike Usage

Publication: CICTP 2020

ABSTRACT

Bike sharing has become popular in London, as it has the advantages of easing traffic pressure and connecting to the public transit. However, the relationship between the bike sharing and public transit systems has not yet been fully studied. This paper aims to measure the impacts of abnormal tube service status on the London Cycle Hire (LCH) usage via 1 million bicycle travel records data from April 20 to May 22, 2019. Over the same period time, London tube service status data were also continuously collected from Transport for London (TFL). Covariates such as tube station volume, socio-economic information and road network characteristics are also included in the data set. In order to eliminate the error caused by randomness, LCH stations within a certain distance of subway stations were aggregated. A buffer-area based regression was conducted to find the effect distance of the abnormal tube status. Our results suggest that the effect area of severe delay and part closure is within 400 m from tube station. Regarding the effects of the abnormal tube service status on the public bike usage, the results shows that the part closure of tube stations decreases the number of LCH bike departures and arrivals, while the severe delay has the opposite impacts. Furthermore, the reduced bicycle travels are mainly concentrated on travels which travel time is less than 1,200 s when part closure occurs. In terms of the effects of abnormal tube status on duration, a significant increase is observed in evening peak time when tube station is in part closure status, while the effects of the other situations are not significant. In addition, the effects of abnormal tube service status also vary across different periods of the day.

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Go to CICTP 2020
CICTP 2020
Pages: 3587 - 3599

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Published online: Aug 12, 2020

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Pei Wang
1Jiangsu Key Laboratory of Urban ITS, Southeast Univ., China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., China; School of Transportation, Southeast Univ., China.
Haojie Li, Ph.D. [email protected]
2Jiangsu Key Laboratory of Urban ITS, Southeast Univ., China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., China; School of Transportation, Southeast Univ., China. Email: [email protected]

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