{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T17:06:33Z","timestamp":1774976793487,"version":"3.50.1"},"reference-count":49,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2018,1,13]],"date-time":"2018-01-13T00:00:00Z","timestamp":1515801600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>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\u2014most 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.<\/jats:p>","DOI":"10.3390\/info9010018","type":"journal-article","created":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T12:30:36Z","timestamp":1516019436000},"page":"18","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":67,"title":["Smart Card Data Mining of Public Transport Destination: A Literature Review"],"prefix":"10.3390","volume":"9","author":[{"given":"Tian","family":"Li","sequence":"first","affiliation":[{"name":"School of Automobile and Traffic Engineering, Jiangsu University, Jiangsu 212013, China"},{"name":"School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan 264209, China"}]},{"given":"Dazhi","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Automobile and Traffic Engineering, Jiangsu University, Jiangsu 212013, China"},{"name":"School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan 264209, China"},{"name":"College of Engineering, Texas A&amp;M University, Kingsville, TX 77843-0100, USA"}]},{"given":"Peng","family":"Jing","sequence":"additional","affiliation":[{"name":"School of Automobile and Traffic Engineering, Jiangsu University, Jiangsu 212013, China"}]},{"given":"Kaixi","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Vehicle Engineering, Xi\u2019an Aeronautical University, Xi\u2019an 710077, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,1,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1109\/TITS.2015.2464335","article-title":"Passenger Journey Destination Estimation from Automated Fare Collection System Data Using Spatial Validation","volume":"17","author":"Nunes","year":"2015","journal-title":"IEEE Trans. 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