Avaliação da acessibilidade aos serviços de saúde pública de regiões urbanas de Curitiba considerando o transporte público com análise de grafos e georreferenciamento

• Ano de defesa: 2019
• Autor(a) principal: Lima, Clauciane Dias de
• Tipo de documento: Dissertação
• 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: Habitação e saúde - Curitiba (PR); Transporte urbano - Curitiba (PR); Sistemas de informação geográfica; Teoria dos grafos; Serviços de saúde comunitária - Curitiba (PR); Transporte urbano - Simulação por computador; Sensoriamento remoto; Engenharia elétrica; Housing and health - Curitiba (Brazil); Urban transportation - Curitiba (Brazil); Geographic information systems; Graph theory; Community health services - Curitiba (Brazil); Urban transportation - Computer simulation; Remote sensing; Electric engineering; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO; Engenharia Elétrica
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/4601

Hospital services are essential for the population of a region. The basic healthcare units (HU) considered in this work are part of public healthcare services. They aim to assist the lower income population which usually reaches these units by walking or by means of public transport. This work aims to evaluate the accessibility of Curitiba healthcare units considering neighborhoods as origins and HU as destinations. The proposed method is based on indicators to assess the accessibility of population considering: (i) offers of points close to HU, (ii) Frequency of buses and (iii) time of displacement to HU. With the distance indicator is evaluated if the health facilities are located within 500m of a bus stop. The frequency indicator measures the waiting time for a bus at stops near the US. Results show that 97% of the HU have good accessibility. The average bus waiting time at the stops is regular, but 8% of lines were rated as good (with time interval lower than 15 minutes). Finally, from the relationship between population income and neighborhood travel time to a HU within the regional area, an outlier detection model was proposed to identify the most vulnerable neighborhoods, that should be prioritized for public investment or adjustment in the transport network.