Westphal, Danny and Ünsal-Peter, Gamze and Rädle, Matthias and Kaufmann, Hans Rüdiger and Walch, Thomas (2022) A Mannheim Best Smart City Case: New Measuring System for the Complex Analysis of Spatially Distributed Environmental Data. Mobility, Knowledge and Innovation Hubs in Urban and Regional Development. Proceedings of REAL CORP 2022, 27th International Conference on Urban Development, Regional Planning and Information Society. pp. 25-35. ISSN 2521-3938
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Abstract
Serving Smart City (SC) and societal objectives (i.e. contributing to better air quality and combat the Corona virus), a novel measuring device is presented as the latest offspring of the SC Ecosystem Mannheim. In this paper – based on the description of the concerted activities of the various players of the Mannheim SC ecosystem – we aim to present the findings of our study of the distribution of gases and particles and their impact on the health of SC citizens of all ages and the ecological balance. Furthermore, the relationship between CO2 and liquid aerosols is discussed. In particular, the questions of how corona-relevant droplets spread and how quickly they evaporate are investigated. A broad portfolio of possible applications suggested by Nevoox rounds off the article. The practical case is interlinked with the results of the DevOps Competences for Smart Cities project with competences being the common denominator. The case reflects necessary transversal (such as creative, innovative, entrepreneurial, networking) and technical competences (i.e. related to coding, data architechture, big data, cloud computing or AI) to exist in an ecosystem aiming for sustainable innovation.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | health, ProxiCube, ecosystem, Smart City, DevOps |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics > QA76 Computer software |
| Depositing User: | The CORP Team |
| Date Deposited: | 05 Nov 2022 18:32 |
| Last Modified: | 18 Dec 2022 14:23 |
| URI: | http://repository.corp.at/id/eprint/857 |
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