Smart Card Data Mining of Public Transport Destination: A Literature Review

Smart card data is increasingly used to investigate passenger behavior and the demand characteristics of public transport. The destination estimation of public transport is one of the major concerns for the implementation of smart card data. In recent years, numerous studies concerning destination e...

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Bibliographic Details
Published inInformation (Basel) Vol. 9; no. 1; p. 18
Main Authors Li, Tian, Sun, Dazhi, Jing, Peng, Yang, Kaixi
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2018
Subjects
Automatic fare collection
Boarding
Data mining
destination estimation
destination estimation model
Land use
Literature reviews
Parameter sensitivity
Passengers
Public transportation
quality assessment
Security management
Sensitivity analysis
smart card
Smart cards
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Summary:Smart card data is increasingly used to investigate passenger behavior and the demand characteristics of public transport. The destination estimation of public transport is one of the major concerns for the implementation of smart card data. In recent years, numerous studies concerning destination estimation have been carried out—most automatic fare collection (AFC) systems only record boarding information but not passenger alighting information. This study provides a comprehensive review of the practice of using smart card data for destination estimation. The results show that the land use factor is not discussed in more than three quarters of papers and sensitivity analysis is not applied in two thirds of papers. In addition, the results are not validated in half the relevant studies. In the future, more research should be done to improve the current model, such as considering additional factors or making sensitivity analysis of parameters as well as validating the results with multi-source data and new methods.
ISSN:2078-2489
2078-2489
DOI:10.3390/info9010018