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大数据视角下国土空间规划编制的弹性和效率理念 探索及其实践应用 被引量:45

Conceptual Exploration and Practical Application on Flexibility and Efficiency of Territory Spatial Planning Making from the Perspective of Big Data
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摘要 研究目的:基于大数据视角开展国土空间规划编制提升弹性、增强效率的理念探索与实践应用研究。研究方法:借助互联网LBS数据(人口迁徙和人口热力),分别在宏观和微观两个尺度进行区域人口流动格局分析和存量建设用地潜力评估。研究结果:(1)规划编制理念应推动双向驱动决策机制,从经验判断走向数据支持;(2)人口迁徙和热力数据在宏观和微观场景中的实践应用有助于空间规划编制实现提升弹性、增强效率的目标。研究结论:大数据技术方法在国土空间规划编制落实区域协调发展、乡村振兴、可持续发展等国家重大战略中具有重要作用,应得到进一步研究。 The paper aims to promote conceptual exploration and practical application on flexibility and strengthening efficiency of territory spatial planning making from the perspective of Big Data. The research method is to analyze the patterns of urban population flows in macro-scale and to evaluate the potential of the extant construction land in microscale, based on LBS data of population migration and heat map provided by Tencent. The results indicate that 1)the conception of planning making should facilitate the dual decision-making mechanism integrated with both goal and data driving, shifting from the experience judgment to the data support. 2)The practical application of big data constituted by population migration and heat map in scenarios of both macro and micro scales provides support to the improvement in flexibility and strengthens efficiency of spatial planning making. In conclusion, big data technology plays an important role in territory spatial planning making, which requires more study in the further implementation of national major strategies such as the balanced development between regions, rural vitalization and sustainable development.
作者 袁源 王亚华 周鑫鑫 张小林 YUAN Yuan;WANG Yahua;ZHOU Xinxin;ZHANG Xiaolin(College of Geographical Science, Nanjing Normal University, Nanjing 210023, China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)
出处 《中国土地科学》 CSSCI CSCD 北大核心 2019年第1期9-16,23,共9页 China Land Science
基金 国家自然科学基金项目(41501187 41571164 41871178) 江苏高校优势学科建设工程资助项目(164320H101)
关键词 国土空间规划 双向驱动 LBS数据 弹性 效率 territory spatial planning dual driving LBS data flexibility efficiency
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