Science, technology and innovation driving urban land use and urban planning development: policy and practice

被引:0
作者
Min J. [1 ]
Liu Z. [1 ]
机构
[1] Green Development Research Institute, Xiongan, Hebei
关键词
Fuzzy regression methods; Multi-objective planning; Science and technology innovation; Urban planning;
D O I
10.2478/amns-2024-0703
中图分类号
学科分类号
摘要
In an era where science, technology, and innovation are key drivers of urban transformation, this research addresses the critical influences of policy and practice on urban planning and land utilization, proposing efficacious planning strategies to navigate emerging challenges. The study offers a comprehensive examination of urban development trends by integrating methods such as fuzzy set urban planning models, multi-objective planning, fuzzy regression, and GIS-based land use analysis. Specifically, our analysis of Shenzhen’s expansion and agricultural land growth from 1998 to 2023 demonstrates the significant impacts of technological innovation on urban landscapes, notably in expanding built-up regions by 90.21 square kilometers and augmenting greenfield farmland by 17.83%, thereby markedly enhancing land designated for ecological purposes. These findings affirm the vital role of innovation in advancing environmental sustainability and sustainable urban planning practices. © 2023 Jianan Min and Zicong Liu, published by Sciendo.
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