Análise de mobilidade humana com base em dados de telefonia móvel considerando aspectos demográficos e socioeconômicos

• Autor(a) principal: Fancetele, Haron Calegari
• Data de Publicação: 2019
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações do LNCC
• Texto Completo: https://tede.lncc.br/handle/tede/312
• topic: Análise de sistemas; Mobilidade de pessoal; Mobilidade humana; Ciência de dados; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

Understanding the dynamics of human mobility is of great importance for the sustainable growth of urban areas. Thus, there are several studies in the literature about human mobility patterns based on different data sources, mainly from cellular devices. Mobility analyses have a direct application in urban planning, contributing to traffic planning and forecasting, control of disease spreading, public safety, and evaluation of city infrastructure performance, among others. Using both a call and a back dataset, as well as motivated by the relevance of the mobility study, this dissertation identifies daily mobility patterns the population, exploring statistical properties of the displacement routines and distance traveled in their daily mobility. Demographic and socioeconomic information are used to group users who share the same gender, age group, or social class. In this way, the original contribution of this dissertation, compared with what has been done in the literature, is precisely the consideration of these demographic and socioeconomic aspects, in order to understand the differences between the mobility patterns of these groups. It has been show, for example, that lower social classes reside farther from the workplace compared to the higher social classes and in terms of mobility patterns the higher social classes are less limited in their daily routines.