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Orientador(es)
Resumo(s)
Being mobility one of the biggest challenge’s cities face today, the COVID-19 pandemic reinforced this challenge and caused a deep structural change in the mobility of the multilayered dynamic framework of Smart Cities. The need to supply decision support systems to city authorities is higher than ever. Planning and managing mobility in Smart Cities has become more challenging, as the amount of information available and the pressure to enforce sustainable and secure policies increases, stakeholders require faster and more targeted actions. Dashboards are powerful tools that can be used in this context to provide, in an understandable manner, multidimensional information otherwise unavailable in classically static visualizations, as these tools offer a reliable foundation for decision support systems. This chapter goes through the required visualization techniques used to produce meaningful dashboards, to both showcase spatial and temporal trends in the context of mobility in Smart Cities following the COVID-19 pandemic. A general framework for analyzing mobility patterns is suggested by gathering methods and techniques recently developed in the literature.
Descrição
Alpalhão, N., Neto, M. D. C., & Motta, M. (2022). Visualizing the Impact of COVID-19 in the Mobility Dynamics: A Dashboard Framework for Decision Support in Smart Cities. In S. Shirowzhan (Ed.), Data Science, Data Visualization, and Digital Twins (pp. 1-12). IntechOpen. https://doi.org/10.5772/intechopen.96295
Palavras-chave
Smart Cities Mobility COVID-19 Decision support Dashboard Spatial and temporal trends SDG 11 - Sustainable Cities and Communities
Contexto Educativo
Citação
Editora
IntechOpen
