Travel Pattern Analysis Based on Bus GPS and Card Record
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 activities. 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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Availability:
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Lu, Huapu
- Chen, Mingyu
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Conference:
- 19th COTA International Conference of Transportation Professionals
- Location: Nanjing , China
- Date: 2019-7-6 to 2019-7-8
- Publication Date: 2019-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Monograph Title: CICTP 2019: Transportation in China—Connecting the World
Subject/Index Terms
- TRT Terms: Bus transit; Commuting; Global Positioning System; Peak periods; Travel behavior; Travel time; Trip purpose; Urban areas
- Geographic Terms: Shanghai (China)
- Subject Areas: Data and Information Technology; Public Transportation; Safety and Human Factors;
Filing Info
- Accession Number: 01736000
- Record Type: Publication
- ISBN: 9780784482292
- Files: TRIS, ASCE
- Created Date: Apr 9 2020 9:00AM