单 位：
上海城建职业学院;上海市园林科学规划研究院
关键词：
高密度城市;公园绿地;日夜游憩活跃度;大数据
摘 要：
公园城市背景下,公园绿地发展出现了新趋势,市民开展公园绿地夜间游憩活动,改变了传统游憩模式,激发了城市夜间活力.基于大数据方法,通过手机App信令数据和公园周边设施兴趣点(POI)数据进行空间统计分析,初步揭示了公园绿地的日间、夜间游憩活跃水平差异现象与主导影响因素类型及结构.以上海市12个典型公园绿地为例,开展游憩热力监测对比分析,提出游憩活跃水平的定量分析指标"日夜活跃度",基于该指标对公园绿地游憩活跃类型进行细分.结果显示,单纯的日间活跃型占公园绿地的比例仅为16.67%,公园绿地游憩模式已从传统的日间型向日夜兼顾型转变,进一步分析了影响公园绿地夜间活跃水平的主导影响因素,通过公园绿地夜间游憩热力点总数(R)与内部、外部影响因素的关联性分析,绘制显著相关因素的影响力排序.分析结果显示,公园夜间游憩活动较为普遍,周边设有如商务、宾馆、金融、购物、医院、交通设施等公共服务设施的公园,夜间游憩活动会进一步增强.研究成果对系统推进公园城市规划设计,优化高密度城区的公园绿地服务设施配套,提升公园绿地精细化管理水平具有积极的促进作用.
译 名：
Research on the Day and Night Recreation Activity Degree of Urban Park Green Space Based on Mobile Signaling and POI Big Data: Taking Typical Park Green Space in Shanghai as an Example
作 者：
YANG Bo;YIN Ming;ZHENG Sijun;GAO Ran;Shanghai Academy of Landscape Architecture Science and Planning, Key Laboratory of National Forestry and Grassland Administration on Ecological Landscaping of Challenging Urban Sites, National Innovation Alliance of National Forestry and Grassland Administration on Afforestation and Landscaping of Challenging Urban Sites, Shanghai Engineering Research Center of Landscaping on Challenging Urban Sites;Shanghai Urban Construction Vocational College;
关键词：
high density urban area;;park green space;;day and night recreation activity degree;;big data
摘 要：
Under the background of the park city, there is a new trend in the development of park green space. Citizens carry out night recreation activities in the park green space, which changes the traditional recreation mode and stimulates the city's vitality at night. Based on mobile phone APP and POI multi-source big data, this paper preliminarily reveals the differences in daytime and nighttime recreational activity levels and the structure of dominant influencing factors. Taking 12 typical park green spaces in Shanghai as examples, the monitoring and comparative analysis of recreation heat value was carried out, and the quantitative analysis index “day and night activity” of recreation activity level was proposed. The results show that the proportion of pure day active park green space is only 16.67%. Thus the park green space recreation mode has changed from the traditional day mode to day and night multi-mode. This paper further analyzes the leading influencing factors that affect the night activity level of the park green space. Through the correlation analysis of the night recreation heat value(H) of the park green space and the internal and external influencing factors, the influence ranking and correlation structure diagram of the significant related factors are drawn. The research results optimizing the supporting facilities of park green space services in high-density urban areas and improving the level of refined management of park green space, thus having a positive promoting effect on the planning and design of park cities.
