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Filtros : "Pitombo, Cira Souza" "Reino Unido" Limpar

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1 - 7 (7 records)

  • Artigo de periodico

    Local modeling as a solution to the lack of stop-level ridership data (2023)

    Marques, Samuel de França; Pitombo, Cira Souza

    Source: Journal of Transport Geography. Unidade: EESC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MODELAGEM DE DADOS, ÔNIBUS, TRANSPORTE DE PASSAGEIROS, TRANSPORTE PÚBLICO

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    • 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: 21 ago. 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.2023.103682

    • NLM

      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 ago. 21 ] Available from: https://doi.org/10.1016/j.jtrangeo.2023.103682

    • Vancouver

      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 ago. 21 ] Available from: https://doi.org/10.1016/j.jtrangeo.2023.103682

  • Artigo de periodico

    Assessment of container terminals competitiveness in the Brazilian market: a cluster analysis (2022)

    Souza, Felipe Lobo Umbelino de ; Dong, Yang ; Moreira, Aluisio; Barreto, Leandro; Pitombo, Cira Souza

    Source: Maritime Policy and Management. Unidade: EESC

    Subjects: TERMINAIS MARÍTIMOS, REDES DE COMPUTADORES, TRANSPORTES

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    • ABNT

      SOUZA, Felipe Lobo Umbelino de et al. Assessment of container terminals competitiveness in the Brazilian market: a cluster analysis. Maritime Policy and Management, p. 1-19, 2022Tradução . . Disponível em: https://doi.org/10.1080/03088839.2022.2093417. Acesso em: 21 ago. 2024.

    • APA

      Souza, F. L. U. de, Dong, Y., Moreira, A., Barreto, L., & Pitombo, C. S. (2022). Assessment of container terminals competitiveness in the Brazilian market: a cluster analysis. Maritime Policy and Management, 1-19. doi:10.1080/03088839.2022.2093417

    • NLM

      Souza FLU de, Dong Y, Moreira A, Barreto L, Pitombo CS. Assessment of container terminals competitiveness in the Brazilian market: a cluster analysis [Internet]. Maritime Policy and Management. 2022 ; 1-19.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1080/03088839.2022.2093417

    • Vancouver

      Souza FLU de, Dong Y, Moreira A, Barreto L, Pitombo CS. Assessment of container terminals competitiveness in the Brazilian market: a cluster analysis [Internet]. Maritime Policy and Management. 2022 ; 1-19.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1080/03088839.2022.2093417

  • Artigo de periodico

    Applying optimization algorithms for spatial estimation of travel demand variables (2021)

    Rocha, Samille Santos; Pitombo, Cira Souza ; Costa, Luis Henrique Magalhaes; Marques, Samuel de França

    Source: Transportation Research Interdisciplinary Perspectives. Unidade: EESC

    Subjects: GEOESTATÍSTICA, ALGORITMOS GENÉTICOS, KRIGAGEM, VIAGENS, TRANSPORTES

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    • ABNT

      ROCHA, Samille Santos et al. Applying optimization algorithms for spatial estimation of travel demand variables. Transportation Research Interdisciplinary Perspectives, v. 10, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.trip.2021.100369. Acesso em: 21 ago. 2024.

    • APA

      Rocha, S. S., Pitombo, C. S., Costa, L. H. M., & Marques, S. de F. (2021). Applying optimization algorithms for spatial estimation of travel demand variables. Transportation Research Interdisciplinary Perspectives, 10, 1-16. doi:10.1016/j.trip.2021.100369

    • NLM

      Rocha SS, Pitombo CS, Costa LHM, Marques S de F. Applying optimization algorithms for spatial estimation of travel demand variables [Internet]. Transportation Research Interdisciplinary Perspectives. 2021 ; 10 1-16.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.trip.2021.100369

    • Vancouver

      Rocha SS, Pitombo CS, Costa LHM, Marques S de F. Applying optimization algorithms for spatial estimation of travel demand variables [Internet]. Transportation Research Interdisciplinary Perspectives. 2021 ; 10 1-16.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.trip.2021.100369

  • Artigo de periodico

    Comparative analysis of data reduction techniques for questionnaire validation using self-reported driver behaviors (2020)

    Campos, Cintia Isabel de; Pitombo, Cira Souza ; Delhomme, Patricia; Quintanilha, José Alberto

    Source: Journal of Safety Research. Unidade: EESC

    Subjects: COMPORTAMENTO DE DIRIGIR, ENGENHARIA DE TRANSPORTES

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    • ABNT

      CAMPOS, Cintia Isabel de et al. Comparative analysis of data reduction techniques for questionnaire validation using self-reported driver behaviors. Journal of Safety Research, v. 73, n. Ju 2020, p. 133-142, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.jsr.2020.02.004. Acesso em: 21 ago. 2024.

    • APA

      Campos, C. I. de, Pitombo, C. S., Delhomme, P., & Quintanilha, J. A. (2020). Comparative analysis of data reduction techniques for questionnaire validation using self-reported driver behaviors. Journal of Safety Research, 73( Ju 2020), 133-142. doi:10.1016/j.jsr.2020.02.004

    • NLM

      Campos CI de, Pitombo CS, Delhomme P, Quintanilha JA. Comparative analysis of data reduction techniques for questionnaire validation using self-reported driver behaviors [Internet]. Journal of Safety Research. 2020 ; 73( Ju 2020): 133-142.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.jsr.2020.02.004

    • Vancouver

      Campos CI de, Pitombo CS, Delhomme P, Quintanilha JA. Comparative analysis of data reduction techniques for questionnaire validation using self-reported driver behaviors [Internet]. Journal of Safety Research. 2020 ; 73( Ju 2020): 133-142.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.jsr.2020.02.004

  • Artigo de periodico

    Data-mining, GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design (2018)

    Guerreiro, Thais de Cássia Martinelli; Providelo, Janice Kirner; Pitombo, Cira Souza; Ramos, Rui António Rodrigues; Silva, Antônio Nélson Rodrigues da

    Source: International Journal of Sustainable Transportation. Unidade: EESC

    Assunto: ENGENHARIA DE TRANSPORTES

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    • ABNT

      GUERREIRO, Thais de Cássia Martinelli et al. Data-mining, GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design. International Journal of Sustainable Transportation, v. 12, n. 3, p. 179-191, 2018Tradução . . Disponível em: https://doi.org/10.1080/15568318.2017.1342156. Acesso em: 21 ago. 2024.

    • APA

      Guerreiro, T. de C. M., Providelo, J. K., Pitombo, C. S., Ramos, R. A. R., & Silva, A. N. R. da. (2018). Data-mining, GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design. International Journal of Sustainable Transportation, 12( 3), 179-191. doi:10.1080/15568318.2017.1342156

    • NLM

      Guerreiro T de CM, Providelo JK, Pitombo CS, Ramos RAR, Silva ANR da. Data-mining, GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design [Internet]. International Journal of Sustainable Transportation. 2018 ; 12( 3): 179-191.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1080/15568318.2017.1342156

    • Vancouver

      Guerreiro T de CM, Providelo JK, Pitombo CS, Ramos RAR, Silva ANR da. Data-mining, GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design [Internet]. International Journal of Sustainable Transportation. 2018 ; 12( 3): 179-191.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1080/15568318.2017.1342156

  • Artigo de periodico

    Comparing decision tree algorithms to estimate intercity trip distribution (2017)

    Pitombo, Cira Souza; Souza, Andreza Dornelas de; Lindner, Anabele

    Source: Transportation Research Part C : emerging technologies. Unidade: EESC

    Subjects: ALGORITMOS, VIAGENS

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    • ABNT

      PITOMBO, Cira Souza e SOUZA, Andreza Dornelas de e LINDNER, Anabele. Comparing decision tree algorithms to estimate intercity trip distribution. Transportation Research Part C : emerging technologies, v. 77, p. 16-32, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.trc.2017.01.009. Acesso em: 21 ago. 2024.

    • APA

      Pitombo, C. S., Souza, A. D. de, & Lindner, A. (2017). Comparing decision tree algorithms to estimate intercity trip distribution. Transportation Research Part C : emerging technologies, 77, 16-32. doi:10.1016/j.trc.2017.01.009

    • NLM

      Pitombo CS, Souza AD de, Lindner A. Comparing decision tree algorithms to estimate intercity trip distribution [Internet]. Transportation Research Part C : emerging technologies. 2017 ; 77 16-32.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.trc.2017.01.009

    • Vancouver

      Pitombo CS, Souza AD de, Lindner A. Comparing decision tree algorithms to estimate intercity trip distribution [Internet]. Transportation Research Part C : emerging technologies. 2017 ; 77 16-32.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.trc.2017.01.009

  • Artigo de periodico

    An exploratory analysis of relationships between socioeconomic, land use, activity participation variables and travel patterns (2011)

    Pitombo, Cira Souza; Kawamoto, Eiji; Sousa, A. J.

    Source: Transport Policy. Unidade: EESC

    Subjects: VIAGENS (PADRÕES), USO DO SOLO, ANÁLISE MULTIVARIADA

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    • ABNT

      PITOMBO, Cira Souza e KAWAMOTO, Eiji e SOUSA, A. J. An exploratory analysis of relationships between socioeconomic, land use, activity participation variables and travel patterns. Transport Policy, v. 18, n. 2, p. 347-357, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.tranpol.2010.10.010. Acesso em: 21 ago. 2024.

    • APA

      Pitombo, C. S., Kawamoto, E., & Sousa, A. J. (2011). An exploratory analysis of relationships between socioeconomic, land use, activity participation variables and travel patterns. Transport Policy, 18( 2), 347-357. doi:10.1016/j.tranpol.2010.10.010

    • NLM

      Pitombo CS, Kawamoto E, Sousa AJ. An exploratory analysis of relationships between socioeconomic, land use, activity participation variables and travel patterns [Internet]. Transport Policy. 2011 ; 18( 2): 347-357.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.tranpol.2010.10.010

    • Vancouver

      Pitombo CS, Kawamoto E, Sousa AJ. An exploratory analysis of relationships between socioeconomic, land use, activity participation variables and travel patterns [Internet]. Transport Policy. 2011 ; 18( 2): 347-357.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.tranpol.2010.10.010
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