Space–time classification of public transit smart card users’ activity locations from smart card data

2021 ◽  
Author(s):  
Li He ◽  
Martin Trépanier ◽  
Bruno Agard
Keyword(s):  
Smart Card ◽  
Public Transit ◽  
Space Time ◽  
Smart Card Data ◽  
Transit Smart Card

Modeling Relation Proximity of Passengers Using Public Transit Smart Card Data

2020 ◽  
pp. 0-0
Author(s):  
Xia Zhao ◽  
Yong Zhang ◽  
Yongli Hu ◽  
Zhen Sean Qian ◽  
Hao Liu ◽  
...  
Keyword(s):  
Smart Card ◽  
Public Transit ◽  
Smart Card Data ◽  
Modeling Relation ◽  
Transit Smart Card

Analyzing Transit User Behavior with 51 Weeks of Smart Card Data

2019 ◽  
Vol 2673 (6) ◽  
pp. 33-45 ◽  
Author(s):  
Elodie Deschaintres ◽  
Catherine Morency ◽  
Martin Trépanier
Keyword(s):  
Smart Card ◽  
Public Transportation ◽  
Travel Behavior ◽  
Travel Demand ◽  
Public Transit ◽  
User Behavior ◽  
Individual Level ◽  
Smart Card Data ◽  
Demand Models ◽  
The Individual

A better understanding of mobility behaviors is relevant to many applications in public transportation, from more accurate travel demand models to improved supply adjustment, customized services and integrated pricing. In line with this context, this study mined 51 weeks of smart card (SC) data from Montréal, Canada to analyze interpersonal and intrapersonal variability in the weekly use of public transit. Passengers who used only one type of product (AP − annual pass, MP − monthly pass, or TB − ticket book) over 12 months were selected, amounting to some 200,000 cards. Data was first preprocessed and summarized into card-week vectors to generate a typology of weeks. The most popular weekly patterns were identified for each type of product and further studied at the individual level. Sequences of week clusters were constructed to represent the weekly travel behavior of each user over 51 weeks. They were then segmented by type of product according to an original distance, therefore highlighting the heterogeneity between passengers. Two indicators were also proposed to quantify intrapersonal regularity as the repetition of weekly clusters throughout the weeks. The results revealed MP owners have a more regular and diversified use of public transit. AP users are mainly commuters whereas TB users tend to be more occasional transit users. However, some atypical groups were found for each type of product, for instance users with 4-day work weeks and loyal TB users.

Understanding commuting patterns using transit smart card data

2017 ◽  
Vol 58 ◽  
pp. 135-145 ◽  
Author(s):  
Xiaolei Ma ◽  
Congcong Liu ◽  
Huimin Wen ◽  
Yunpeng Wang ◽  
Yao-Jan Wu
Keyword(s):  
Smart Card ◽  
Smart Card Data ◽  
Commuting Patterns ◽  
Transit Smart Card

Public Transit Transfer Recognition Method Based on Vehicle GPS and Smart Card Data

CICTP 2017 ◽  
2018 ◽  
Author(s):  
Min Fu ◽  
Wei Wang ◽  
Hao Wang ◽  
Yun Xiang ◽  
Wanbo Yang
Keyword(s):  
Smart Card ◽  
Public Transit ◽  
Recognition Method ◽  
Smart Card Data
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