Trip Purpose Inference Based on the Relationship between Route Search Records and Regional Characteristics

Author:

Hosoe MioORCID,Kuwano Masashi,Moriyama Taku

Publisher

Springer Science and Business Media LLC

Subject

General Neuroscience,Computer Science Applications,Software,Automotive Engineering,Applied Mathematics,Control and Systems Engineering,Aerospace Engineering,Information Systems

Reference15 articles.

1. Kusakabe, T., Asakura, Y.: Bahavioural data mining of transit smart card data: a data fusion approach. Transp. Res. Part C: Emerg. Technol. 46, 179–191 (2014)

2. Alsger, A., Tavassoli, A., Mesbah, M., Ferreira, L., Hickman, M.: Public transport trip purpose inference using smart card fare data. Transp. Res. Part C: Emerg. Technol. 87, 123–137 (2018)

3. Meng, C., Cui, Y., He, Q., Su, L., Gao, J., “Travel Purpose Inference with GPS Trajectories, POIs and Geo-Tagged Social Media Data”, in Proceedings of 2017 IEEE International Conference on Big Data, 1319–1324 (Boston), (2017)

4. Ota, K., Nozu, N.: “Traffic and tourism behavior analysis based on route search request logs: things you can tell by the big data of traffic demand”, papers of research meeting on civil engineering. Planning. 52, 9 (2015) (in Japanese)

5. Kenjo, G., Ito, M., Kawamura, T., Sugahara, K., “User Behavior Analysis of the Web Service for Public Transit Assistant”, Papers and Proceedings of the Geographic Information Systems Association, 4 Pages (2012) (in Japanese)

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