Usability of Open Data for Smart City Applications – Evaluation of Data, Development of Application and Creation of Visual Dashboards

Lehmler, Stephan and Murshed, Syed Monjur and Ansart, Louise and Shen, Yao (2019) Usability of Open Data for Smart City Applications – Evaluation of Data, Development of Application and Creation of Visual Dashboards. REAL CORP 2019 – IS THIS THE REAL WORLD? Perfect Smart Cities vs. Real Emotional Cities. Proceedings of 24th International Conference on Urban Planning, Regional Development and Information Society. pp. 825-834. ISSN 2521-3938

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Today different sources of information on urban areas are becoming openly available at various spatial and temporal resolutions and extents. They are crucial for driving towards “Smart Cities”. Many smart city relevant applications, to understand and predict certain phenomena such as mobility, air quality, etc., depend on large amounts of readily available good quality data. Many datasets related to such topics are already publicly available. However, the appropriate use of these datasets must be ensured by checking the quality of data in a systematic way. Under quality of data, one not only evaluate the number of missing or false data points but also determine data characteristics such as resolution, frequency and ease of use, etc. Therefore, the objectives of this paper are to evaluate the open data available in different portals (80 in total) with special consideration to these factors and to evaluate their usability in some of the smart city applications. In this regard, an extensive literature review is carried out. We observed that especially official government data portal often lack these qualities. This could have occurred due to the lack of concrete examples of how cities and citizens can profit from the applications created with the appropriate kind of data. Some civil servants might have experienced some levels of mistrust regarding the abstract ideas of ‘Smart City’ and ‘Open Data’. We therefore illustrate three possible applications, e.g. (a) use of high-resolution low- cost sensor data around Europe (b) GPS trajectories of a large number of taxis monitored inside the city and (c) land-use and accesability data from voluntered geographic information. In this regard, other open source spatial data portals (such as Open Street Map APIs) and open source software such as python and relevant libraries are also utilized. For each application, we elaborate the data characteristics and the detailed methodological steps (e.g., analytics methods) as well as communicate the results with an easy to operate dashboard having strong visualisation and analytical aids (maps, graphs, statistical summary, etc.). The dashboards help to understand the significance of open data and to support decision makers in creating services for the citizens with the context of “Smart City”. Finally, we conclude with the limitation and further recommendations to the city officials regarding their role of shaping the future of (smart) cities with the right open data policy.

Item Type: Article
Uncontrolled Keywords: Smart City, Open data, Data Analytics, Dashboard, Python
Subjects: B Philosophy. Psychology. Religion > BF Psychology
G Geography. Anthropology. Recreation > GE Environmental Sciences
G Geography. Anthropology. Recreation > GN Anthropology
H Social Sciences > HA Statistics
H Social Sciences > HT Communities. Classes. Races
H Social Sciences > HV Social pathology. Social and public welfare
Depositing User: The CORP Team
Date Deposited: 01 Apr 2019 13:32
Last Modified: 01 Apr 2019 13:32

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