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.
引用
收藏
相关论文
共 50 条
[21]   Public Policy Literacy Development in Basic Course Teaching of Urban Planning [J].
Xu Lan ;
Duan Degang ;
Li Min .
ChinaCityPlanningReview, 2015, 24 (03) :36-40
[22]   MODERN URBAN PLANNING: CONCEPTS TO PRACTICE [J].
Vasilev, Stanislav Aleksandrovich ;
Zenin, Sergei Sergeevich ;
Dedkov, Artem Gennadievich .
REVISTA INCLUSIONES, 2020, 7 :376-389
[23]   Urban planning and ecology: Lithuanian practice [J].
Staniunas, Mindaugas ;
Staniunas, Eugenijus-Kestutis .
ECOLOGICAL ARCHITECTURE 2011, 2011, :18-23
[24]   The complex web of land use planning, legislation and urban mobility in Maseru, Lesotho [J].
Kalaoane, Rets'epile C. ;
Matamanda, Abraham R. ;
Bhanye, Johannes I. .
DISCOVER SUSTAINABILITY, 2024, 5 (01)
[25]   Smarter Urban Planning: Match Land Use with Citizen Needs and Financial Constraints [J].
Marsal-Llacuna, Maria-Lluisa ;
Leung, Ying Tat ;
Ren, Guang-Jie .
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2011, PT II, 2011, 6783 :93-108
[26]   Urban planning and land use using spatiotemporal evolution information graph model [J].
Li, Man ;
Xu, You ;
Gao, Juan .
International Journal of Sustainable Development, 2025, 28 (01) :90-105
[27]   Notes on the obsolescence of general land use plans: strategic planning and urban model [J].
Antonio Lobato-Becerra, Juan .
CIUDAD Y TERRITORIO-ESTUDIOS TERRITORIALES-CYTET, 2020, 52 (204) :197-210
[28]   The complex web of land use planning, legislation and urban mobility in Maseru, Lesotho [J].
Rets’epile C. Kalaoane ;
Abraham R. Matamanda ;
Johannes I. Bhanye .
Discover Sustainability, 5
[29]   Methodology to calculate the carbon footprint of household land use in the urban planning stage [J].
Zubelzu, Sergio ;
Alvarez, Roberto ;
Hernandez, Adolfo .
LAND USE POLICY, 2015, 48 :223-235
[30]   Urban simulation using neural networks and Cellular Automata for land use planning [J].
Yeh, AGO ;
Li, X .
ADVANCES IN SPATIAL DATA HANDLING, 2002, :451-464