| Title |
Methodological Framework for Digital Transition and Performance Assessment of Smart Cities |
| ID_Doc |
43681 |
| Authors |
Petrova-Antonova, D; Ilieva, S |
| Title |
Methodological Framework for Digital Transition and Performance Assessment of Smart Cities |
| Year |
2019 |
| Published |
|
| DOI |
10.23919/splitech.2019.8783170 |
| Abstract |
The ultimate goal of smart cities is to improve citizens' quality of life in a scenario where technological solutions challenge urban governance. However, the knowledge and framework for data use for smart cities remain relatively unknown. The actual translation of city problems into diverse actions requires specific methodologies to guide digital transitions of cities and to assess to what extent the smart cities' initiatives pursue sustainable development goals. This paper proposes a methodological framework for digital modelling of cities allowing assessment of their performance and supporting decision making. The city model adopts the concept of digital twin as a powerful tool for discussion between stakeholders, as well as citizens to find the smartest solutions and get valuable insight after their deployment. The methodological framework is presented as a set of digital twin concept, stages of digital twinning and implementation strategy. Furthermore, the most common city information models, suitable for implementation of digital twins are summarized. |
| Author Keywords |
digital twin; methodological framework; performance assessment; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000502810800012 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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