| Title |
A data-driven Smart City Transformation Model utilizing the Green Knowledge Management Cube |
| ID_Doc |
36053 |
| Authors |
Dornhöfer, M; Weber, C; Zenkert, J; Fathi, M |
| Title |
A data-driven Smart City Transformation Model utilizing the Green Knowledge Management Cube |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/isc246665.2019.9071703 |
| Abstract |
The transformation of cities into smart cities is one of the demanded topics in city planning, following the long-term trend of digitization. While installing a smart device seems relatively easy from a technical point of view, the question of transformation needs a knowledge-based perspective. Which parameters should be measured, how could a data infrastructure be introduced, how is it possible to apply gathered data of different devices for the deduction of knowledge and how can overarching smart city concepts and projects be implemented? The paper addresses these questions for a scenario in the field of smart environment. A smart city transformation model is introduced and the Green KM Cube, as part of green knowledge management, is applied as a method for detailing the phases through knowledge management dimensions to facilitate planning and decision support. The result is the basis of the requirements analysis of the transformation model. |
| Author Keywords |
Smart City Transformation; Green Knowledge Management; Sustainability; Smart Environment; Knowledge based decision support |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000848525400114 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Green & Sustainable Science & Technology; Engineering, Multidisciplinary |
| Research Area |
Computer Science; Science & Technology - Other Topics; Engineering |
| PDF |
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