Chapter
Jul 2, 2019
Travel Pattern Analysis Based on Bus GPS and Card Record
Publication: CICTP 2019
Abstract
Based on the smart card and GPS records of No. 976 buses from April 13 to April 19, 2015 in Shanghai, this study conducted analyses on travel time and locations. It found that workday and weekends have a great influence on the travel time and location rules. On workdays, the commuting demand was more average at each station, with obvious peak hours in the morning and evening. During non-working hours, residents traveled into areas with more leisure and entertainment places. Furthermore, through clustering for card users, four types of trip characteristics were defined: random travelers, leisure travelers, commuters, and night actives. Different types have their own features on travel time, frequency, and station preferences. Using these situations, the significance of improving the operation of urban public transport system was explored.
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Published In
CICTP 2019
Pages: 1248 - 1258
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© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Dept. of Civil Engineering, Institute of Transportation Engineering, Tsinghua Univ., Haidian District, Beijing 10084, China. E-mail: [email protected]
Dept. of Civil Engineering, Institute of Transportation Engineering, Tsinghua Univ., Haidian District, Beijing 10084, China. E-mail: [email protected]
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