Local modeling as a solution to the lack of stop-level ridership data (2023)
Fonte: Journal of Transport Geography. Unidade: EESC
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MODELAGEM DE DADOS, ÔNIBUS, TRANSPORTE DE PASSAGEIROS, TRANSPORTE PÚBLICO
ABNT
MARQUES, Samuel de França e PITOMBO, Cira Souza. Local modeling as a solution to the lack of stop-level ridership data. Journal of Transport Geography, v. 112, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jtrangeo.2023.103682. Acesso em: 08 out. 2024.APA
Marques, S. de F., & Pitombo, C. S. (2023). Local modeling as a solution to the lack of stop-level ridership data. Journal of Transport Geography, 112, 1-18. doi:10.1016/j.jtrangeo.2023.103682NLM
Marques S de F, Pitombo CS. Local modeling as a solution to the lack of stop-level ridership data [Internet]. Journal of Transport Geography. 2023 ; 112 1-18.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.jtrangeo.2023.103682Vancouver
Marques S de F, Pitombo CS. Local modeling as a solution to the lack of stop-level ridership data [Internet]. Journal of Transport Geography. 2023 ; 112 1-18.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.jtrangeo.2023.103682