| Title |
Performance Analysis Of Smart City Landscape Design And Planning Based On The Internet Of Things |
| ID_Doc |
36466 |
| Authors |
Kang, C; He, YT; Xu, JJ |
| Title |
Performance Analysis Of Smart City Landscape Design And Planning Based On The Internet Of Things |
| Year |
2024 |
| Published |
Scalable Computing-Practice And Experience, 25, 5 |
| DOI |
10.12694/scpe.v25i5.3005 |
| Abstract |
With the continuous development of the IoT technology, the concept of smart city has gradually become one of the key elements of urban planning and design. The purpose of this study is to explore the smart urban landscape design and planning based on the IoT, and to provide new perspectives and methods for the future urban development through in-depth research and analysis of related issues. First, this study reviews the relevance of smart city and landscape design, highlighting the importance of IoT technology in urban planning. Secondly, through case analysis and field trips, the successful experiences and challenges of smart cities that have implemented the IoT technology are analysed. In terms of design and planning, this study proposes a landscape design framework integrating IoT technology, emphasizing the interaction between urban landscape and information technology to promote sustainable urban development. Finally, this study summarizes the relevant findings, and prospects the future development trend of smart urban landscape design planning, to provide useful guidance and inspiration for urban planners and designers. Through this study, theoretical support and practical experience can be provided for building a more intelligent and liveable urban environment. |
| Author Keywords |
IoT; Smart city; Landscape design and planning; Sustainable development |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001293357300084 |
| WoS Category |
Computer Science, Software Engineering |
| Research Area |
Computer Science |
| PDF |
https://www.scpe.org/index.php/scpe/article/download/3005/1223
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