The welfare costs of traffic congestion in São Paulo Metropolitan Area

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Vale, Ricardo Campante Cardoso
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://www.teses.usp.br/teses/disponiveis/96/96131/tde-01082018-091126/
Resumo: This thesis presents new evidences of negative impacts of traffic congestion in São Paulo Metropolitan Area, indicating that the omission or retardation of policy to alleviate that charges society with a high cost. Besides that, we shed light on Waze application\'s impacts, evidencing GPS-based participatory navigation is a key element of the traffic in the contemporary cities. Induced by the economic theory, one can see that traffic slowness derived from the general demand for automotive vehicles corresponds to a social cost. With the objective of translating this cost to monetary units, we developed an approach that matches the 2012 Origin-Destination survey to Google Maps data. An econometric travel mode choice model is estimated and through that we infer the Value of Time for trips. From counterfactual analysis for travel duration, we estimate the delays of the trips in relation to a hypothetic free flow situation. Joining the calculations, we estimate that 89% of the trips motivated by work in São Paulo are retarded by traffic frictions, generating an annual welfare cost that amounts to R$7.338 billions. Additionally, we analyze widespread Waze malfunctioning at 10/23/2017. Combining congestion data to the Value of Time, we estimate that the Waze bug approximatedely tripled the welfare costs in regards to a typical day, showing the magnitude of mass effects that a social navigation application is able to trigger.