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| Title | Data-Sharing Approaches For Achieving Resilient Smart Cities: A Case Of Smart City R&D Project In Daegu, South Korea |
|---|---|
| ID_Doc | 17501 |
| Authors | Kim Y.; Lee S.; Sharifi A.; Kim Y. |
| Year | 2022 |
| Published | Urban Book Series |
| DOI | http://dx.doi.org/10.1007/978-3-030-95037-8_14 |
| Abstract | This study explores recent nationwide projects, including those related to smart cities, climate change, urban regeneration, and the K-New Deal, and in particular analyzes how the national smart city R&D project instills resilience in a smart city. This study analyzes a government-funded smart city R&D project in Daegu, South Korea with a focus on three main topics: the effects of the system, the main items that should be considered by planners and decision makers, and ways to ensure participation from diverse groups of citizens. Advanced smart city technologies and services are being adopted as part of the smart city R&D project, such as deep learning-based civil motion recognition, advanced technology for intelligent disaster prediction, and warning technologies for heatwaves, heavy rain, slope collapses, etc. Our analysis of the smart city R&D project according to the analytics framework shows that the Daegu smart city R&D project has sought to consider 15 indexes of resilience and include the three main topics mentioned above. The list of resilience indicators presented in this study can be used as an assessment toolkit that comprehensively considers various parts of the city, such as technology/services, planners/decision makers, and citizens, all of which make up a smart city. This checklist provides a means of evaluating various stages of smart city projects that aim to increase resilience. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
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