摘要
随着城市化的快速发展和城市设施的不断完善,城市休闲功能设施作为城市可持续发展和公共健康的重要组成部分,愈发受到市民的广泛关注。本文基于浮动车轨迹数据分析城市居民的出行活动特征,结合城市休闲场所兴趣点(POI),利用空间聚类和隐含狄利克雷分布(LDA)文本分析算法深入挖掘城市休闲场所的时空变化动态规律。结果表明,休闲功能区的变化趋势总体呈现“先增后减再增”的特征,与广泛意义上的城市居民行为协调一致。通过分析城市休闲场所的空间分布结构及其时空动态变化规律的功能性,不仅有助于丰富城市人-地协调发展的现实理论,而且有助于从动态交通轨迹的视角探讨城市功能区的时空演变,对于优化城市功能布局具有重要的意义。
Urban leisure facilities,an important part of urban sustainable development and public health,get increasingly attentions by citizens with the rapid development of urbanization and the continuous improvement of urban facilities.The dynamic rules of spatial-temporal changes of urban leisuring places were furtherly explored in this paper by analyzing the tourism characteristics of urban residents,combing the Point of Interest(POI)of urban leisuring places,and using spatial clustering and Latent Dirichlet Allocation(LDA)text analyzing algorithms on the basis of floating vehicle tracking data.The results show that the leisuring places generally are“increasing first,then decrease,and then increasing again”,the changing is consistent with the behavior of urban residents.It is not only help to enrich the realistic theory of the coordinated development of urban people and land,but also help to explore the spatio-temporal evolution of urban leisuring places from the perspective of dynamic traffic trajectory,which is of great significance for optimizing the layout of urban functions by analyzing the spatial distribution of urban leisuring places and the functions of their spatio-temporal dynamic change rules.
作者
史汉斌
孙文婷
石彦斌
SHI Hanbin;SUN Wentin;SHI Yanbin(Guangdong Provincial Institute of Land Resources Surverying and Mapping,Guangzhou,Guangdong 510500,China;Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China,Ministry of Natural Resources,Guangzhou,Guangdong 510500,China;Guangdong Science and Technology Collaborative Innovation Center for Natural Resources,Guangzhou,Guangdong 510500,China)
出处
《测绘技术装备》
2024年第3期19-26,共8页
Geomatics Technology and Equipment
基金
广东省科技计划项目(2021B1212100003,2024A1111120008)。
关键词
浮动车轨迹
兴趣点
城市功能区
时空分析
floating vehicle tracking
POI
urban leisuring places
spatio-temporal analyzing