Abstract
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.
Highlights
The exponential growth and availability of data has opened the possibility of visualizing a city and all its layers in a previously unavailable smart way
We identify three main requirements for a desirable dashboard: (a) a zoom in and out approach needs to be available to the user; (b) a clear temporal trend comparison is a must to understand the impact and the ways to administer the changes caused in the population’s mobility; and (c) measures to understand if the current state of mobility is expected and if not, where it is deviating from the norm
In light of the Covid-19 outbreak and to support a data-driven urban management strategy, the need for data analytics tools is in the forefront of policymaking
Summary
The exponential growth and availability of data has opened the possibility of visualizing a city and all its layers in a previously unavailable smart way. Data Visualization decisions in any of these layers one must always consider the amount of information available and its purpose In this context it is natural to introduce a dashboard as a visualization tailored to give support to smart city agents, from managers to policy makers, in order to both understand and act on these complex matters [4] in a readily available manner and arranged on a single screen [5]. In comparison with other implementations, our dashboard improves the understanding of the impact of the Covid-19 pandemic by synthesizing visualization concepts and techniques gathered in the literature This way, it is introduced a novel approach to better visualize mobility patterns in the context of Smart Cities
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