Inferring Travel Purposes for Transit Smart Card Data Using

2018 ◽  
pp. 11-18
Author(s):  
Zhenzhen Liu ◽  
Qing-Quan Li ◽  
Yan Zhuang ◽  
Jiacheng Xiong ◽  
Shuiquan Li
Keyword(s):  
Smart Card ◽  
Smart Card Data ◽  
Transit Smart Card

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

Analysis of Passenger Transfer Patterns Based on Transit Smart Card Data in Seoul

2013 ◽  
Author(s):  
Ji-Young Song ◽  
Jin-Ki Eom
Keyword(s):  
Smart Card ◽  
Regional Level ◽  
Long Distance ◽  
Transit Service ◽  
Smart Card Data ◽  
Average Travel Time ◽  
Time Distance ◽  
Transit Connectivity ◽  
The Relationship ◽  
Transit Smart Card

This study analyzes the transfer patterns of passengers in Seoul based on transit smart card data that was observed in 2010. The smart card recorded maximum four times of transfer and reported that approximately 90% of trips were less than one transfer and the remains were more than 2 transfers. We focus on trips with more than 3 transfers to figure out the relationship between transit service and regional connectivity. The results show that the average travel time, distance, fare are 45 minutes, 18.3km, and 1,119(KW) respectively. We develop a map for investigating transfer patterns at a regional level (dong and gu). By doing this, three types of transfers are observed as: 1) trips of which origin and destination is either same or near, 2) trips with middle distance (shorter then 6km), and 3) long distance (from 6km to 12km) trip with low transit connectivity.

Transit smart card data mining for passenger origin information extraction

2012 ◽  
Vol 13 (10) ◽  
pp. 750-760 ◽  
Author(s):  
Xiao-lei Ma ◽  
Yin-hai Wang ◽  
Feng Chen ◽  
Jian-feng Liu
Keyword(s):  
Data Mining ◽  
Information Extraction ◽  
Smart Card ◽  
Smart Card Data ◽  
Transit Smart Card
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