JOURNAL OF NATURAL RESOURCES ›› 2019, Vol. 34 ›› Issue (10): 2134-2149.doi: 10.31497/zrzyxb.20191010

• Methodology and Technology • Previous Articles     Next Articles

Discussion on the application framework of big data in territorial spatial planning

QIN Xiao1,2(), ZHEN Feng1, LI Ya-qi3, CHEN Hao4   

  1. 1. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
    2. Key Laboratory of Geospatial Big Data Mining and Application, Hunan Province, Changsha 410006, China
    3. Institute of New Era Territorial Planning, Nanjing Co., Ltd., Nanjing 210000, China
    4. Zhenjiang Development & Reform Commission, Zhenjiang 212050, Jiangsu, China;
  • Received:2019-05-05 Revised:2019-08-02 Online:2019-10-28 Published:2019-10-28


In the new era, the core goal of territorial spatial planning is to meet the people's needs for a better life and also to protect natural resources. As a new type of planning, the method of territorial spatial planning is generally lacking. Based on the endowment of natural resources, scholars use data based on statistics and surveys, as well as methods of statistical analysis, spatial analysis and deduction to evaluate the carrying capacity and suitability of land space at the national and provincial levels, and make a static delimitation of the ecological red line, prime farmland protection line and urban development boundary. However, the existing studies rarely consider the dynamic impact of human activities on the use of land space, and lack the scientific arrangement of ecological space, agricultural space and urban space under the new development trend. This paper introduces the big data which can directly reflect the temporal and spatial changes of human activities. It mainly discusses the direction and specific methodological framework of the application of big data from the four parts of territorial spatial suitability evaluation, ecological spatial planning, agricultural spatial planning and urban spatial planning. Meanwhile, it emphasizes the scientific path of territorial spatial planning compilation under the interaction of "natural space" and "social and economic activities".

Key words: territorial spatial planning, big data, methodology framework