Facilitating insights with a user adaptable dashboard, illustrated by airport connectivity data

Abstract

Since the movement data exist, there have been approaches to collect and analyze them to get insights. This kind of data is often heterogeneous, multiscale and multi-temporal. Those interested in spatio-temporal patterns of movement data do not gain insights from textual descriptions. Therefore, visualization is required. As spatio-temporal movement data can be complex because size and characteristics, it is even challenging to create an overview of it. Plotting all the data on the screen will not be the solution as it likely will result into cluttered images where no data exploration is possible. To ensure that users will receive the information they are interested in, it is important to provide a graphical data representation environment where exploration to gain insights are possible not only in the overall level but at sub-levels as well. A dashboard would be a solution the representation of heterogeneous spatio-temporal data. It provides an overview and helps to unravel the complexity of data by splitting data in multiple data representation views. The adaptability of dashboard will help to reveal the information which cannot be seen in the overview.

Design of an adaptable dashboard for smart cities

“…One of the biggest challenges of dashboards for smart cities is to satisfy the different information visualization needs of users to ensure that they are useful in their decision making [9]. In the current development of dashboards for smart cities, the aim is to provide the user with visual representations of data that are part of several screens [23]. To learn how to integrate adaptability into dashboards, we will analyze the literature in the following subsections.…”

“…The number of components, the amount of information, and the way in which data are represented are elements that users unconsciously use to understand and use the dashboard visualizations [23].…”

“…Familiarity can be generated in the user, reducing information overload, and allowing them to interact in a precise and easy way. Among the adaptable components that will be considered are: 1) Customization, 2) Zoom, 3) Colors, sizes and positions of the components, 4) Emphasize relevant information and 5) Make components simultaneously comparable [23].…”

Geospatial Dashboards for Monitoring Smart City Performance

“…An adaptive dashboard that provides users with tools that change the GUI according to the required context of user [15,41]; a spatial dashboard for presenting the safety performance of vehicles in airport, one part of the AIRNET project [90].…”

“…Dashboards can be categorized into three types by their roles: operational, analytical, or strategical [11,14,15]. In this paper, we adopt and extend this categorization using geospatial data as follows: (1) Operational dashboards provide descriptive measurements of smart cities using indicators based on original geospatial data and other related data.…”