| Title |
Risk Analysis with the Dempster-Shafer Theory for Smart City Planning: The Case of Qatar |
| ID_Doc |
45544 |
| Authors |
Al Sharif, R; Pokharel, S |
| Title |
Risk Analysis with the Dempster-Shafer Theory for Smart City Planning: The Case of Qatar |
| Year |
2021 |
| Published |
Electronics, 10, 24 |
| DOI |
10.3390/electronics10243080 |
| Abstract |
Smart cities support the enhancement of the quality of life of their residents, for which the use of a robust integrated platform of information and communication technology is required. However, not all cities have similar technology infrastructure and a similar understanding of the quality of life. Therefore, holistic planning, resource support, security, continuous updates, and dynamic operational enhancements should be considered while planning smart cities. However, a smart city could be vulnerable to security threats and a loss of personal or classified information due to the complexity of technology integration. Therefore, understanding and assessing different risks and embedding risk management mechanisms would be required to minimize vulnerability exposure in smart cities. This paper proposes a risk assessment method using the Dempster-Shafer theory for smart city planning. The Dempster-Shafer theory is used here to analyze the risks perceptions of experts. The principal component analysis method is used to analyze the data obtained from risk assessment. The application of this method is determined through a smart city test case in Qatar. |
| Author Keywords |
smart city; smart city planning; risk assessment; Dempster-Shafer theory; risk analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000737598800001 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Physics, Applied |
| Research Area |
Computer Science; Engineering; Physics |
| PDF |
https://www.mdpi.com/2079-9292/10/24/3080/pdf?version=1640241672
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