Work

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

Year: 2017

Type: article

Source: Transport Policy

DOI: 10.1016/j.tranpol.2017.10.010

Authors: M.D. Yap, S. Nijënstein, N. van Oort

Institutions: Delft University of Technology, Goudappel Coffeng

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: bronze

Funder: Technische Universiteit Delft

OpenAlex ID: W2766355296

FWCI: 5.742

Cites: 25

Cited by: 45

Related to: 10