Uma nova proposta para análise do sistema de transporte público utilizando redes complexas ponderadas

• Ano de defesa: 2017
• Autor(a) principal: De Bona, Anderson Andrei
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Curitiba; Brasil; Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial; UTFPR
• Palavras-chave em Português: Política de transporte urbano; Trânsito - Fluxo; Transporte urbano - Curitiba (PR); Transporte urbano - São Paulo (Estado); Engenharia elétrica; Urban transportation policy; Traffic flow; Urban transportation - Curitiba (PR); Urban transportation - São Paulo (Estado); Electric engineering; CNPQ::ENGENHARIAS::ENGENHARIA DE TRANSPORTES::PLANEJAMENTO DE TRANSPORTES::PLANEJAMENTO E ORGANIZACAO DO SISTEMA DE TRANSPORTE; Engenharia Elétrica
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/2564

Abstract (parágrafo único): Based on the theory of complex networks, this work analyzes the characteristics of public transport networks (PTNs) of two large Brazilian cities (Curitiba and São Paulo). Using the L-space and P-space representation, through unweighted and weighted metrics (geographical distance between vehicle stops and vehicle frequency at stop points) a new way of classifying the complex network metrics (congestion and accessibility oriented) applied exclusively to PTNs is proposed. It is also proposed a new way of interpreting results based on geographic distance and frequency by inverse distance and inverse frequency. Through the classification of the metrics also two new metrics for congestion identification in PTN are proposed, as well as a new way of using the representation using geographic maps based on dispersion curves to identify congestion and accessibility regions of the PTN. For the city of Curitiba a study is carried out that analyzes a PTN throughout the week (weekday, Saturdays and Sundays) and throughout the business day through 14 time intervals in order to evaluate the network dynamically evaluate. With the results it was possible to identify behaviors and geographic regions of the PTNs of Curitiba and São Paulo that can help the PTN planners to understand and make changes in the PTN seeking improvements. For users it is possible to use the results to find alternatives in the use of PTN. Another contribution is the way of interpreting and visualizing the results of complex network metrics for PTN evaluation, which allows the evaluation of networks through a PTN.