Paper aims: This study aimed to analyze how the satisfaction level of public transport (PT) users is influenced by their socioeconomic characteristics.
Originality:The analysis of how socioeconomic variables influence the satisfaction level through the association between MANOVA and exploratory analysis is still not explored, especially in Brazil and in medium-sized cities, which represent the majority of Brazilian cities.Research method: Data collection was carried out by questionnaire in a Brazilian city. The 330 users of PT evaluated their satisfaction level concerning 12 quality indicators. Statistical analyses were performed using Pearson's correlation and MANOVA.Main findings: Most socioeconomic variables influenced user satisfaction in at least one indicator, gender and schooling being the most prominent. The results showed that women's mean level of satisfaction is lower than men's concerning indicators affected by gender. Fare was the indicator with the worst score, being influenced by users' occupation.
Implications for theory and practice:The study presents practical and methodological contributions. The results provides technical and scientific subsidies for public policies and service improvement. It possible to improve each indicator according to the users' socioeconomic characteristics, encouraging the use of PT and contributing to the urban environment sustainability.
This study seeks to contextualize the literature related to the urban transport of people and health. The methodology consisted of a systematic literature review, considering papers published between 2016 and 2021. Some 438 articles were selected for the initial analysis. It was observed that the most recurrent themes were analyses on transportation accessibility and health, and the impacts of active transportation and the built environment on health. Some 173 articles on travel behavior impacts were thoroughly analyzed. The most commonly evaluated health determinants were level of physical activity and obesity. Some studies applied standard questionnaires for health self-assessments. The analyses showed that mental/psychological well-being can have multiple dimensions. Most studies evaluated health determinants using statistical tools, specifically regression models and structural equation models. Health impact assessment was also applied recurrently in the analyzed articles. This study presents theoretical and practical implications, contributing to the state-of-the-art by theoretically deepening understandings of the relationships between transport and health. We also highlighted health aspects, methods, and data collection instruments that could be used in future studies. A better understanding of these relationships can also aid in developing public transportation strategies and policies that help move people and promote social-economic development, while also positively affecting individual physical and mental well-being.
O presente trabalho possui como objetivo obter um diagnóstico do processo produtivo de um suporte de luminárias em uma empresa do setor metal-mecânico localizada no município de Santa Rita do Sapucaí, Sul de Minas Gerais, através do uso da técnica da simulação computacional. Para tal aplicação, foi utilizado o software Promodel e a técnica de modelagem adotada foi o IDEF-SIM. Tendo como base as informações obtidas pela simulação, procura-se determinar os pontos de ineficiências e gargalos do processo, analisar a utilização dos XXXVII ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO "A Engenharia de Produção e as novas tecnologias produtivas: indústria 4.0, manufatura aditiva e outras abordagens avançadas de produção"
O objetivo do trabalho foi desenvolver um modelo multicritério de apoio à decisão para escolha de projetos prioritários que concretizam políticas públicas de mobilidade urbana por meio do método Analytic Hierarchy Process. Os fatores influentes do processo decisório foram escolhidos junto aos gestores públicos da área de mobilidade de três cidades do Estado de São Paulo. A importância relativa dos fatores foi determinada através de julgamentos de gestores e especialistas da área acadêmica. O fator determinante “Origem da demanda” foi o de maior importância relativa e, neste grupo, destaca-se o fator influente “política urbanística”, que consiste em projetos previstos no Plano diretor ou de Mobilidade Urbana. O modelo foi validado por meio de sua aplicação para priorização de dois projetos em Lorena. O estudo contribui com o planejamento da mobilidade mediante proposição do modelo e fornece uma ferramenta de apoio à decisão para direcionar a execução de projetos de mobilidade.
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