Understanding Spatiotemporal Station and Trip Activity Patterns in the Lisbon Bike-Sharing System

Albuquerque, V., Andrade, F., Ferreira, J. C., & Dias, M. S. (2021). Understanding Spatiotemporal Station and Trip Activity Patterns in the Lisbon Bike-Sharing System. In A. L. Martins, J. C. Ferreira, A. Kocian, & V. Costa (Eds.), Intelligent Transport Systems, From Research and Development...

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Detalhes bibliográficos
Autor principal: Albuquerque, Vitória (author)
Outros Autores: Andrade, Francisco (author), Ferreira, João Carlos (author), Dias, Miguel Sales (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2022
Assuntos:
Bike-sharing system
Cluster analysis
K-means
Mobility patterns
Statistical analysis
Urban mobility
Computer Networks and Communications
SDG 11 - Sustainable Cities and Communities
Texto completo:http://hdl.handle.net/10362/117053
País:Portugal
Oai:oai:run.unl.pt:10362/117053
Descrição
Resumo:Albuquerque, V., Andrade, F., Ferreira, J. C., & Dias, M. S. (2021). Understanding Spatiotemporal Station and Trip Activity Patterns in the Lisbon Bike-Sharing System. In A. L. Martins, J. C. Ferreira, A. Kocian, & V. Costa (Eds.), Intelligent Transport Systems, From Research and Development to the Market Uptake: 4th EAI International Conference, INTSYS 2020, Proceedings (pp. 16-34). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 364 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-71454-3_2

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