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Urban and rural planning model innovation from the perspective of smart cities

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DOI: 10.23977/jceup.2024.060321 | Downloads: 31 | Views: 478

Author(s)

Boyang Yu 1, Jiajun Hu 2, Haiying Yu 2, Di Yuan 2

Affiliation(s)

1 South China University of Technology, Guangzhou, Guangdong, 510000, China
2 China Urban Development, Planning & Design Consulting Co., Ltd., Beijing, 100120, China

Corresponding Author

Boyang Yu

ABSTRACT

Urban and rural planning is the knowledge base for the development of smart cities, and it is also conducive to improving the quality and level of urban and rural planning in China. Helping demanders and builders provide rich technical support in the design, planning, construction and application of smart cities, which is very helpful to build smart cities. The future development and iteration of the city will create opportunities for the interconnection between cities. However, the expansion of urban area to suburbs leads to the low effective utilization rate of urban resources. The increasingly dense urban population also reduces the service quality and work efficiency of social institutions and increases the difficulty of information sharing. The traditional manual work based planning approval method is no longer sufficient to meet the current urban development needs. In the construction of modern urban and rural planning, the concept of smart cities has received more attention and importance, and the application of urban and rural planning technologies in smart cities and urban and rural planning. The analysis of urban and rural planning will completely change the traditional way of formulating urban and rural planning, and the construction of smart cities will comprehensively improve people's quality of life and the operational efficiency of cities.

KEYWORDS

Smart city; Urban and rural; Plan; Intelligentization

CITE THIS PAPER

Boyang Yu, Jiajun Hu, Haiying Yu, Di Yuan, Urban and rural planning model innovation from the perspective of smart cities. Journal of Civil Engineering and Urban Planning (2024) Vol. 6: 173-178. DOI: http://dx.doi.org/10.23977/jceup.2024.060321.

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