Work

Predicting hourly origin–destination demand in bike sharing systems using hurdle models: Lisbon case study

Year: 2021

Type: article

Source: Case Studies on Transport Policy

DOI: 10.1016/j.cstp.2021.10.003

Authors: Vera Lucas, António R. Andrade

Institutions: University of Lisbon, Instituto Superior Técnico, Instituto Superior Técnico Instituto de Engenharia Mecânica

Language: English

Topic: Urban Transport and Accessibility

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

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

Open Access status: closed

Funder: Fundação para a Ciência e a Tecnologia

Award: Laboratório Associado de Energia, Transportes e Aeronáutica

OpenAlex ID: W3206555775

FWCI: 1.107

Cites: 37

Cited by: 12

Related to: 10