| Title |
Optimization Method for Sustainable Development of Smart City Public Management Based on Big Data Analysis |
| ID_Doc |
36612 |
| Authors |
Wang, W; Li, L |
| Title |
Optimization Method for Sustainable Development of Smart City Public Management Based on Big Data Analysis |
| Year |
2023 |
| Published |
International Journal Of Data Warehousing And Mining, 19, 4 |
| DOI |
10.4018/TJDWM.322757 |
| Abstract |
With the acceleration of the urbanization process, the traditional urban management has become increasingly unable to meet the needs of urban management and development. At the same time, with the rapid development of artificial intelligence (AI) and big data (BD), the use of AI and BD to analyze cities has been gradually emerging. Therefore, this paper used AI and BD to study the optimization method of sustainable development of smart city public management. The research showed that the respondents in N, Z, and S cities were 60.67%, 60.07%, and 60.31% satisfied with the handling of events by urban public management subjects, respectively. The experts' evaluation scores on the feasibility and effectiveness of urban public management optimization strategies were 88.79 and 92.82, respectively. The public's satisfaction with the smart city public management subject's handling of events was still not high enough. The optimization strategy for sustainable development of smart city public management proposed in this paper with BD had certain practical value. |
| Author Keywords |
Big Data; Sustainable Development of Smart City Public Management; Urban Analysis; Urban Public Management Entities |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001055988600002 |
| WoS Category |
Computer Science, Software Engineering |
| Research Area |
Computer Science |
| PDF |
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