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基于多源大数据的城市公园游憩使用和规划应对研究进展
引用本文:李方正,宗鹏歌. 基于多源大数据的城市公园游憩使用和规划应对研究进展[J]. 风景园林, 2021, 28(1): 10-16
作者姓名:李方正  宗鹏歌
作者单位:北京林业大学;中国林业科学研究院
基金项目:国家自然科学基金(编号 51908036,31670704);北京市自然科学基金 ( 编号 8194071);教育部人文社科基金项目 ( 编号 19YJC760042);中央高校基本科研业务费专项资金资助(编号 BLX201808);首都区域空间规划研究北京市重点实验室开放课题资助(编号 CLAB202006)
摘    要:大数据为风景园林规划方法的创新提供了技术支持,为城市公园游憩使用和规划应对带来了新的机遇.首先,对城市公园游憩使用研究中有关大数据的应用类型进行梳理和分类;其次,从公园游憩使用、可达性、服务范围和规划应对4个方面分析城市公园游憩使用的研究进展;最后对城市公园游憩使用研究方法进行分类总结.在游憩使用方面,大数据可通过游人...

关 键 词:大数据  游憩使用  可达性  服务范围  规划应对

Research Progress of Urban Park Recreation Use and Planning Strategies Based on Multi-source Big Data
LI Fangzheng,ZONG Pengge. Research Progress of Urban Park Recreation Use and Planning Strategies Based on Multi-source Big Data[J]. Landscape Architecture, 2021, 28(1): 10-16
Authors:LI Fangzheng  ZONG Pengge
Affiliation:Beijing Forestry University; Chinese Academy of Forestry
Abstract:Big data technology provides technical support for the innovation of landscape architecture planning methods, and brings new opportunities for urban park recreation use and planning response. This paper first sorts out and classifies the application types of big data in the study of urban park recreation use, and then analyzes the use of urban park recreation from four aspects: park recreation use, accessibility, service area, and planning response. Finally, the research methods of urban park recreation are classified and summarized. For example, in the use of recreation, big data can be used to determine the use of parks based on the distribution characteristics of visitors; in terms of accessibility, big data can be used to analyze the accessibility of urban parks at different scales to promote the rationality of park planning; in terms of area, big data can be used for research on the determination, flow and decline of urban park services to improve the fairness of park recreation planning; furthermore, it can be used to guide planning and response through research on factors affecting recreation use. On this basis, this paper also speculates on the development trend of big future data in the use of recreation, in order to provide reasonable ideas for the better application of big data in park recreation planning.
Keywords:big data   recreational use   accessibility   service area   planning response
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