Exploring Potential Travel Demand of Customized Bus Using Smartcard Data

Rongge Guo, Wei Guan, Ailing Huang, Wenyi Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)


Customized bus (CB) is an innovation mode of public transportation (PT) system to alleviate the traffic congestion. As a demand-based transport, CB holds promise to provide personalized service by aggregating travel demand of individuals. However, the data collected through online surveys are limited and unreliable for the CB operation planning. This paper introduces a methodology to investigate the potential travel demands of CB based on smartcard data (SCD). The methodology proposed here consists of three processes: trip chain generation, origin-destination (OD) recognition and travel mode comparison. Drawing on Beijing as the case study, the smartcard dataset is processed for analyzing the spatial-temporal properties of passenger travel behavior and exploring potential travel demand of CB. The results indicate that the data have a workplace-oriented pattern and CB is suitable for passengers with long trip distances (beyond 8 km). These findings advance key points to future CB operation as it is associated with the route design and vehicle arrangement.

Original languageEnglish
Title of host publication2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538670248, 9781538670231
ISBN (Print)9781538670255
Publication statusPublished - 28 Nov 2019
Externally publishedYes
Event2019 IEEE Intelligent Transportation Systems Conference - Auckland, New Zealand
Duration: 27 Oct 201930 Oct 2019


Conference2019 IEEE Intelligent Transportation Systems Conference
Abbreviated titleITSC 2019
Country/TerritoryNew Zealand


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