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Predicting taxi demand hotspots using automated Internet Search Queries

  • Published:2019-05 Issue: Volume:102 Page:73-86
  • ISSN:0968-090X
  • Container-title:Transportation Research Part C: Emerging Technologies
  • language:en
  • Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Markou Ioulia,Kaiser Kevin,Pereira Francisco C.

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference46 articles.

1. Anon., 2018. TLC Trip Record Data. http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml [Online; accessed 21-March-2018].

2. Latent dirichlet allocation;Blei;J. Mach. Learn. Res.,2003

3. Using internet search queries to predict human mobility in social events;Borysov,2016

4. A multinomial logit model of mode and arrival time choices for planned special events;Chang;J. Eastern Asia Soc. Transport. Stud.,2013

5. Tweeting transit: An examination of social media strategies for transport information management during a large event;Cottrill;Transport. Res. Part C: Emerg. Technol.,2017

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