Improving predictions of public transport usage during disturbances based on smart card data

Author:

Yap M.D.,Nijënstein S.,van Oort N.

Publisher

Elsevier BV

Subject

Transportation,Geography, Planning and Development

Reference26 articles.

1. Travelers' preferences in multimodal networks: Design and results of a comprehensive series of choice experiments;Arentze;Transp. Res. Part A,2013

2. The Demand for Public Transport: a Practical Guide;Balcombe,2004

3. Tram or bus: does the tram bonus exist?;Bunschoten,2013

4. Identification and classification of public transport activity centers in Stockholm using passenger flow data;Cats;J. Transp. Geogr.,2015

5. Predicting short-term subway ridership and prioritizing its influential factors using gradient boosting decision trees;Ding;Sustainability,2016

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