摘要
随着经济社会发展和交通通信技术提高,大城市居民游憩空间从城市拓展到区域,环城游憩成为居民日常游憩的刚性需求和新常态,而大数据的应用为精准识别环城游憩的空间分布特征提供了可能.以武汉市中心城区环城游憩行为与空间分布为对象,采用手机信令数据、POI数据、遥感影像数据和地理统计数据等,运用空间分析方法,识别了游憩人口分布、游憩停留时长、游憩强度、游憩功能、游憩空间总体结构等基本特征及环城游憩资源与游憩强度匹配特征,为优化大城市郊区环城游憩空间、进行环城游憩实证分析提供依据.
With the development of economy and the improvement of traffic and communication technologies,the recreational space of metropolitan residents expands from cities to regions,and the recreation around metropolis has become a rigid demand and a new normal for residents'daily recreation.The application of big data provides the possibility to accurately identify the spatial distribution characteristics of recreation around city.Taking the circum-metropolis recreational behavior and spatial distribution of the resident population in Wuhan central city as the object,this paper uses spatial analysis methods to do the research with mobile phone signaling data,POI data,remote sensing image data and geostatistical data.The basic characteristics such as the distribution of recreational population,length of recreational stay,recreational intensity,recreational function,and overall structure of recreational space,as well as the matching characteristics of recreational resources and recreational intensity around city are identified,which provide a basis for optimizing the recreational space around city,as well as the empirical analysis of recreational activities around city.
作者
王宝强
陈娴
施澄
WANG Baoqiang;CHEN Xian;SHI Cheng
出处
《中国园林》
CSCD
北大核心
2021年第6期49-54,共6页
Chinese Landscape Architecture
基金
国家自然科学基金项目“基于洪涝脆弱性评估的城市适灾弹性空间研究”(编号51608213)和“交通可达性对公平城市的影响与调控机制研究:基于上海和伦敦的实证比较”(编号51808392)共同资助
关键词
风景园林
环城游憩
手机信令数据
多源数据
时空规律
武汉市
landscape architecture
recreation around city
cellular signaling data
multi-source data
space-time rule
Wuhan City
