Modelagem da informação para cidades inteligentes: aplicação em acidentes de trânsito de Belo Horizonte

• Ano de defesa: 2019
• Autor(a) principal: Izabella Bauer de Assis Cunha
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; Brasil; ECI - ESCOLA DE CIENCIA DA INFORMAÇÃO; Programa de Pós-Graduação em Gestão e Organização do Conhecimento; UFMG
• Palavras-chave em Português: Cidades Inteligentes; Big Data; Modelagem da Informação; Administração Pública; Dados Abertos; Ciência da informação; Modelagem de informações; Planejamento urbano; Sistemas de recuperação da informação – Planejamento urbano
• Link de acesso: http://hdl.handle.net/1843/31524

The ability to monitor and analyze information in real time generated at any time by people or devices, is a plus to maximize effectiveness and productivity in various fields. It can bring benefits to society, through its use in the health system, safety, public administration and urban mobility sectors. Due the growth of urbanization, studies related to Smart Cities seek to develop innovative solutions to minimize urban problems, and consequently provide a better quality of life for citizens and society. Urban mobility is a thematic area of public administration, which has great relevance for the studies of Smart Cities, since it gathers several information of management and monitoring of activities and occurrences related to traffic accidents. This applied research had the objective of proposing an Information Modeling process, necessary to support indicative parameters for the design of Smart Cities scenarios. The theoretical foundation was based on Information Modeling, Smart Cities and public administration with the focus on urban mobility. The research approach is mixed in nature, combining quantitative and qualitative methods. The research strategy used was a case study and interview with an expert on urban mobility. The procedure used for data collection was the extraction of open data in traffic accidents, available on the website of the city of Belo Horizonte (PBH). The data was processed through a specific extraction, transformation and loading tool. From the descriptive analysis of the data, it was verified that the highest occurrence of traffic accidents occurs during the week, from Monday to Wednesday, afternoon, in the central area of the city, where there is possibly a greater volume of traffic. An analytical visualization of the data was made in panels to support decision making, with the purpose of offering a proposal to subsidize the construction of scenarios for Smart Cities. The research showed the relevance of information extracted, managed and analyzed for society, and how the proposed Information Modeling can be used as an instrument of change, mainly because of the population growth and intense urbanization, as well as opportunities for different specialties of the field of public administration.