Identifying tourists from public transport commuters

Author:

Xue Mingqiang1,Wu Huayu1,Chen Wei1,Ng Wee Siong1,Goh Gin Howe2

Affiliation:

1. Institute for Infocomm Research, Singapore, Singapore

2. Land Transport Authority, Singapore, Singapore

Funder

Science and Engineering Research Council, Agency for Science, Technology and Research

Publisher

ACM

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial intelligence for improving public transport: a mapping study;Public Transport;2023-11-20

2. Methodological Approach for the Definition of Urban Tourist Patterns Through Data Mining;Advances in Tourism, Technology and Systems;2023

3. Discovery of tourists' movement patterns in venice from public transport data;Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing;2022-04-25

4. Exploring Passengers’ Dependency Variety on Stations’ Functions in Urban Subway;Journal of Advanced Transportation;2021-10-13

5. A Review of Big Data Applications in Urban Transit Systems;IEEE Transactions on Intelligent Transportation Systems;2021-05

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