| Title |
Towards Smart and Resilient City: A Conceptual Model |
| ID_Doc |
42958 |
| Authors |
Arafah, Y; Winarso, H; Suroso, DSA |
| Title |
Towards Smart and Resilient City: A Conceptual Model |
| Year |
2018 |
| Published |
|
| DOI |
10.1088/1755-1315/158/1/012045 |
| Abstract |
This paper aims to compare five smart city models selected based on a number of specific criteria. Following the comparison and assessment performed, we draw conclusions and further linkages identifying the components and characters found in resilient cities. The purpose of this analysis is to produce a new approach and concept: the "smart and resilient city." Through in-depth literature study, this paper analyzes five conceptual smart city models deemed to have a background, point of view, and benchmark towards software group, as they focus on welfare, inclusion, social equality, and competitiveness. Analyzing the strategies, methods, and techniques of five smart city models, this paper concludes that there has been no inclusion of resilience concepts in the assessment, especially in the context of natural disasters. Basically, the models are also interrelated and there are some things that overlap. As a recommendation, there is a model that tries to combine the components and character of smart city and resilient city into one entity that is embedded as a whole in a conceptual picture towards the new concept, the "smart and resilient city". The concept of smart city and resilient city go hand in hand with each other and thus are interrelated. Therefore, it is imperative to study that concept deeper, in this case primarily in the context of disaster. |
| Author Keywords |
|
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000446888700045 |
| WoS Category |
Environmental Sciences; Environmental Studies; Regional & Urban Planning |
| Research Area |
Environmental Sciences & Ecology; Public Administration |
| PDF |
https://doi.org/10.1088/1755-1315/158/1/012045
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