@Article{LamosaToQuLoSaMa:2021:VaBuDa,
               author = "Lamosa, J{\'e}ssica Domingues and Tom{\'a}s, L{\'{\i}}via R. 
                         and Quiles, Marcos Gon{\c{c}}alves and Londe, Luciana R. and 
                         Santos, Leonardo B. L. and Macau, Elbert Einstein Nehrer",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Centro 
                         Nacional de Monitoramento e Alertas de Desastres Naturais 
                         (CEMADEN)} and {Universidade Federal de S{\~a}o Paulo (UNIFESP)} 
                         and {Centro Nacional de Monitoramento e Alertas de Desastres 
                         Naturais (CEMADEN)} and {Centro Nacional de Monitoramento e 
                         Alertas de Desastres Naturais (CEMADEN)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)}",
                title = "Topological indexes and community structure for urban mobility 
                         networks: Variations in a business day",
              journal = "PLoS One",
                 year = "2021",
               volume = "16",
               number = "3",
                pages = "e0248126",
                month = "Mar.",
             abstract = "Topological analysis and community detection in mobility complex 
                         networks have an essential role in many contexts, from economics 
                         to the environmental agenda. However, in many cases, the dynamic 
                         component of mobility data is not considered directly. In this 
                         paper, we study how topological indexes and community structure 
                         changes in a business day. For the analyzes, we use a mobility 
                         database with a high temporal resolution. Our case study is the 
                         city of S{\~a}o Jos{\'e} dos Campos (Brazil)-The city is divided 
                         into 55 traffic zones. More than 20 thousand people were asked 
                         about their travels the day before the survey (Origin-Destination 
                         Survey). We generated a set of graphs, where each vertex 
                         represents a traffic zone, and the edges are weighted by the 
                         number of trips between them, restricted to a time window. We 
                         calculated topological properties, such as degree, clustering 
                         coefficient and diameter, and the network s community structure. 
                         The results show spatially concise community structures related to 
                         geographical factors such as highways and the persistence of some 
                         communities for different timestamps. These analyses may support 
                         the definition and adjustment of public policies to improve urban 
                         mobility. For instance, the community structure of the network 
                         might be useful for defining inter-zone public transportation.",
                  doi = "10.1371/journal.pone.0248126",
                  url = "http://dx.doi.org/10.1371/journal.pone.0248126",
                 issn = "1932-6203",
             language = "en",
           targetfile = "lamosa_topological.pdf",
        urlaccessdate = "21 maio 2024"
}