Abstract

Orientador: Maria Lucia Galves Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Civil, Arquitetura e Urbanismo Made available in DSpace on 2018-09-02T09:54:45Z (GMT). No. of bitstreams: 1 Alves_LuizMarceloTeixeira_M.pdf: 3480266 bytes, checksum: 0222637f425896327d1b1fb209bd6893 (MD5) Previous issue date: 2017 Resumo: A utilização da bicicleta como meio de transporte é algo amplamente discutido. Todo o ano esse modo de transporte ganha mais adeptos e as viagens de bicicleta voltam a ser relevantes em comparação com os demais modos. Diante disso, a inserção de infraestruturas cicloviárias passa a ter grande importância nas gestões públicas municipais que, em muitos casos sabem da necessidade de criação de infraestrutura e do estímulo ao uso deste modo, porém têm dificuldades na implantação de ciclovias, ciclofaixas e ciclorrotas por se tratar de algo que influencia a vida de todos os cidadãos, direta ou indiretamente, positiva ou negativamente. O objetivo deste trabalho é auxiliar a avaliação e escolha de alternativas de ligações cicloviárias entre a Av. Paulista e a Av. Brigadeiro Faria Lima, onde atualmente estão localizadas duas das ciclovias mais movimentadas da cidade de São Paulo. Para isso, foi utilizado o método de Auxílio Multicritério à Decisão (AMCD) para ajudar no entendimento do problema como um todo, e embasar a criação e avaliação das alternativas. Os resultados possibilitaram conhecer melhor os diversos pontos de vista dos atores envolvidos no processo decisório e avaliar o desempenho local e global de cada atributo, pilares para recomendação da melhor alternativa Abstract: The use of the bicycle as urban transport is a topic largely discussed around the world. Every year bicycle becomes more popular and cycling trips become more relevant compared to other types of transportation. Therefore, the insertion of bicycle infrastructure requires great effort by public administrations, that even knowing how important it is to stimulate the use of this transportation mode, have, in most cases, to face obstructions within implantation of cycling routes because of the great change that this represents in the life of every citizens, directly or indirectly, positively or negatively. The objective of this study is to support the choice and evaluation of alternatives for cycling routes between Paulista Avenue and Brigadeiro Faria Lima Avenue, two of the busiest cycleways in Sao Paulo City. In order to do this, it was adopted the Multi-criteria Decision Aid (MCDA), that should help understanding the problem, giving bases to the creation and evaluation of the different alternatives. The results allow to knowledge the different points of view of all actors involved in the decision process, and evaluate the local and global performance of each attribute, giving basic premise to identify the best alternative Mestrado Transportes Mestre em Engenharia Civil

Abstract

In this article, we present a methodology to simultaneously modelize car, bus, and bicycle transport modes, considering the interactions among the three modes through the modelling of the modal split and the network assignment of the different travels of each mode. Later, this model was utilized to optimize the design of cycling paths network to achieve an efficient and sustainable transport system. The proposed methodology has two levels. In the lower level there is a transport network, over which cars users, bus passengers and bicycles users could be simulated at the same time Applied to this is a combined model (modal split-assignment model) with its inputs come from a global matrix (car, bus and bicycle trips). The Multinomial Logit model for modal split and network assignment models will follow an iterative process, to provide the final matrices and service variables for each mode of transport. Finally, in the upper level, an optimization model has been developed, based on bilevel mathematical programming. The objective is to optimize the design of cycling paths, determining which typology of bike lane will be the optimal for each street. For this specific model, we considered only three typologies (segregated, non-segregated, and no bike lane). The optimization criteria utilized aims to maximize the number of cycling users. These have been applied to the real scenario of the city of Santander (Spain). The authors would like to acknowledge the financial support provided by the Spanish Ministry of Economía y Competitividad in project TRA2012-39466-C02-02