Exploring Potential Travel Demand of Customized Bus Using Smartcard Data

Rongge Guo; Wei Guan; Ailing Huang; Wenyi Zhang

doi:10.1109/ITSC.2019.8916843

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 proceeding › Conference contribution › peer-review

13 Citations (Scopus)

Abstract

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 language	English
Title of host publication	2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2645-2650
Number of pages	6
ISBN (Electronic)	9781538670248, 9781538670231
ISBN (Print)	9781538670255
DOIs	https://doi.org/10.1109/ITSC.2019.8916843
Publication status	Published - 28 Nov 2019
Externally published	Yes
Event	2019 IEEE Intelligent Transportation Systems Conference - Auckland, New Zealand Duration: 27 Oct 2019 → 30 Oct 2019

Conference

Conference	2019 IEEE Intelligent Transportation Systems Conference
Abbreviated title	ITSC 2019
Country/Territory	New Zealand
City	Auckland
Period	27/10/19 → 30/10/19

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ITSC.2019.8916843Licence: Unspecified

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title = "Exploring Potential Travel Demand of Customized Bus Using Smartcard Data",

abstract = "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.",

keywords = "Intelligent systems, Intelligent vehicle highway systems, Smart cards, Traffic congestion, Transportation routes",

author = "Rongge Guo and Wei Guan and Ailing Huang and Wenyi Zhang",

note = "Funding Information: This paper is sponsored by NSFC Project (No. 71621001, 71601015, 71501013). Publisher Copyright: {\textcopyright} 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 ; Conference date: 27-10-2019 Through 30-10-2019",

year = "2019",

month = nov,

day = "28",

doi = "10.1109/ITSC.2019.8916843",

language = "English",

isbn = "9781538670255",

pages = "2645--2650",

booktitle = "2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Guo, R, Guan, W, Huang, A & Zhang, W 2019, Exploring Potential Travel Demand of Customized Bus Using Smartcard Data. in 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019., 8916843, Institute of Electrical and Electronics Engineers Inc., pp. 2645-2650, 2019 IEEE Intelligent Transportation Systems Conference, Auckland, New Zealand, 27/10/19. https://doi.org/10.1109/ITSC.2019.8916843

Exploring Potential Travel Demand of Customized Bus Using Smartcard Data. / Guo, Rongge; Guan, Wei; Huang, Ailing et al.

2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 2645-2650 8916843.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Exploring Potential Travel Demand of Customized Bus Using Smartcard Data

AU - Guo, Rongge

AU - Guan, Wei

AU - Huang, Ailing

AU - Zhang, Wenyi

PY - 2019/11/28

Y1 - 2019/11/28

N2 - 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.

AB - 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.

KW - Intelligent systems

KW - Intelligent vehicle highway systems

KW - Smart cards

KW - Traffic congestion

KW - Transportation routes

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M3 - Conference contribution

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Exploring Potential Travel Demand of Customized Bus Using Smartcard Data

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