Urban subway station is a key node related to urban social,political,economic and cultural activities.There are some differences in the location,function orientation,land use and flow characteristics of different type...Urban subway station is a key node related to urban social,political,economic and cultural activities.There are some differences in the location,function orientation,land use and flow characteristics of different types of stations in the city.This paper mainly used Tyson’s edge,kernel density analysis,chart analysis and other methods to classify the functional types of 412,393 POI data of 26 stations along Metro he results showed that the spatial distribution of Beijing Metro Line 6 was mainly divided into 3 categories,subway stations were divided into 4 categories.Among them,type A sites were divided into composite and single types,and the distribution characteristics of the 6 types of sites were quite different.Based on the qualitative and quantitative analysis of POI point data,this method can quickly classify and analyze the characteristics of stations along Line 6 in Beijing,which also has theoretical and practical value for the planning of urban subway lines.展开更多
In this paper,the relevance of spatial distribution between urban parks and transportation infrastructure in Beijing was studied grounded on POI data to guarantee the accuracy and scientificity.This paper focused on t...In this paper,the relevance of spatial distribution between urban parks and transportation infrastructure in Beijing was studied grounded on POI data to guarantee the accuracy and scientificity.This paper focused on three aspects.Firstly,based on vector data of Beijing and POI data,the distribution of bus stations,subway stations,and parking lots as well as the road network density in the radiating region of each main entrance in urban parks were analyzed to assess traffic service ability in surrounding area of urban parks.Secondly,coupling relationship of spatial distribution between urban parks and transportation network in Beijing was analyzed using Kernel Density tools.Thirdly,Arc GIS was used to explore space pattern characteristics of large parks and association models between large parks and main transportation network,including two types of intersected and non-intersected and seven models.Finally,according to the comprehensive analysis of POI data,there was a contradictory relationship of interdependency and interaction between space pattern of urban parks and transportation infrastructure construction in Beijing,contributing to the scientific judgment of spatial characteristics of urban parks and transportation infrastructure as well as traffic accessibility and convenience.Quantified conclusions were thus obtained to explore coordinated development strategies for two systems of park green space and transportation network,thereby providing new ideas for the construction of harmonious and livable environment in Beijing.展开更多
针对出租车随意停靠造成城市交通拥堵甚至交通事故的问题,利用成都实际区域的出租车GPS(Global Position System)数据和爬取的POI(Point of Interest)数据,使用DBSCAN(Density-Based Spatial Clustering of Application with Noise)聚...针对出租车随意停靠造成城市交通拥堵甚至交通事故的问题,利用成都实际区域的出租车GPS(Global Position System)数据和爬取的POI(Point of Interest)数据,使用DBSCAN(Density-Based Spatial Clustering of Application with Noise)聚类算法对上下客点进行聚类,得到出租车的载客热点,根据POI的类型划定载客热点区域的类型,对出租车不同时间的出行需求进行分析,进而划分出出租车的固定停车区域。研究结果表明,出租车固定停车区域的设定与出行者的出行需求有关,即将固定停车区域设置在出行者出行需求多的区域,可以满足出行者的不同出行需求。结合出租车载客热点和爬取POI数据划定固定停车区域的方法具有较高的实用性,可为城市交通安全方面提供理论和现实意义。展开更多
城市POI的分布情况客观反映了一个城市各行各业的发展情况,传统获取POI的测绘手段成本高、更新周期长、时效性差,而基于位置的社交网络(Location-Based Social Network,LBSN)平台的发展为实现城市POI的感知提供了一种新思路。本文提出...城市POI的分布情况客观反映了一个城市各行各业的发展情况,传统获取POI的测绘手段成本高、更新周期长、时效性差,而基于位置的社交网络(Location-Based Social Network,LBSN)平台的发展为实现城市POI的感知提供了一种新思路。本文提出一种基于LBSN数据聚类分析的城市POI感知方法,首先,对LBSN数据进行预处理,包括清洗重复数据、删除无效数据、数据预分类等,以提高数据的有效性;其次,提出一种改进的DBSCAN算法,对处理后的数据进行聚类分析,从而得到准确度较高的城市各类POI分布情况。实验结果表明,与传统的DBSCAN算法以及K-means算法相比,本文提出的算法有更好的聚类效果,且在聚类指标上有更大的CH指数值和更小的DBI指数值。展开更多
以太原市主城区作为研究区域,基于兴趣点(Point of Interest, POI)数据,采用核密度分析、局部Getis-OrdGI~*指数等方法,对城市商业空间格局进行了研究,在其现有商业空间格局的基础上借助等值线树法对商业中心进行了识别,并对各类行业的...以太原市主城区作为研究区域,基于兴趣点(Point of Interest, POI)数据,采用核密度分析、局部Getis-OrdGI~*指数等方法,对城市商业空间格局进行了研究,在其现有商业空间格局的基础上借助等值线树法对商业中心进行了识别,并对各类行业的空间分布及集聚特征进行了对比分析。结果表明:太原市主城区商业空间已经形成了以柳巷、朝阳以及亲贤北街商圈为中心向外围扩散的分布格局,体现出汾河以东集中连片、汾河以西零星分散的分布特征;识别出太原市主城区内46个基本商业中心,其中以柳巷、朝阳—双塔、体育路—亲贤北街为主城区三大核心商业中心;各类行业空间聚集表现不同,生活服务类、购物服务类以及餐饮服务类行业分布范围广、集聚程度小,医疗保健类、商务服务类、金融服务类行业分布范围小、集聚程度高。展开更多
基金Beijing Municipal Education Commission Social Science Project(KM202010009002)Beijing Municipal Social Science Foundation(22GLC062)“Young YuYou Talents Training Plan”of North China University of Technology.
文摘Urban subway station is a key node related to urban social,political,economic and cultural activities.There are some differences in the location,function orientation,land use and flow characteristics of different types of stations in the city.This paper mainly used Tyson’s edge,kernel density analysis,chart analysis and other methods to classify the functional types of 412,393 POI data of 26 stations along Metro he results showed that the spatial distribution of Beijing Metro Line 6 was mainly divided into 3 categories,subway stations were divided into 4 categories.Among them,type A sites were divided into composite and single types,and the distribution characteristics of the 6 types of sites were quite different.Based on the qualitative and quantitative analysis of POI point data,this method can quickly classify and analyze the characteristics of stations along Line 6 in Beijing,which also has theoretical and practical value for the planning of urban subway lines.
基金Sponsored by National Natural Science Fund of China(51508004)Science and Technology Plans of Ministry of Housing and Urban-Rural Development of the People’s Republic of China,and Opening Projects of Beijing Advanced Innovation Center for Future Urban Design,Beijing University of Civil Engineering and Architecture(UDC2017030712)2018 Beijing Municipal University Academic Human Resources Development-Youth Talent Support Program(PXM2018-014212-000043)
文摘In this paper,the relevance of spatial distribution between urban parks and transportation infrastructure in Beijing was studied grounded on POI data to guarantee the accuracy and scientificity.This paper focused on three aspects.Firstly,based on vector data of Beijing and POI data,the distribution of bus stations,subway stations,and parking lots as well as the road network density in the radiating region of each main entrance in urban parks were analyzed to assess traffic service ability in surrounding area of urban parks.Secondly,coupling relationship of spatial distribution between urban parks and transportation network in Beijing was analyzed using Kernel Density tools.Thirdly,Arc GIS was used to explore space pattern characteristics of large parks and association models between large parks and main transportation network,including two types of intersected and non-intersected and seven models.Finally,according to the comprehensive analysis of POI data,there was a contradictory relationship of interdependency and interaction between space pattern of urban parks and transportation infrastructure construction in Beijing,contributing to the scientific judgment of spatial characteristics of urban parks and transportation infrastructure as well as traffic accessibility and convenience.Quantified conclusions were thus obtained to explore coordinated development strategies for two systems of park green space and transportation network,thereby providing new ideas for the construction of harmonious and livable environment in Beijing.
文摘针对出租车随意停靠造成城市交通拥堵甚至交通事故的问题,利用成都实际区域的出租车GPS(Global Position System)数据和爬取的POI(Point of Interest)数据,使用DBSCAN(Density-Based Spatial Clustering of Application with Noise)聚类算法对上下客点进行聚类,得到出租车的载客热点,根据POI的类型划定载客热点区域的类型,对出租车不同时间的出行需求进行分析,进而划分出出租车的固定停车区域。研究结果表明,出租车固定停车区域的设定与出行者的出行需求有关,即将固定停车区域设置在出行者出行需求多的区域,可以满足出行者的不同出行需求。结合出租车载客热点和爬取POI数据划定固定停车区域的方法具有较高的实用性,可为城市交通安全方面提供理论和现实意义。
文摘城市POI的分布情况客观反映了一个城市各行各业的发展情况,传统获取POI的测绘手段成本高、更新周期长、时效性差,而基于位置的社交网络(Location-Based Social Network,LBSN)平台的发展为实现城市POI的感知提供了一种新思路。本文提出一种基于LBSN数据聚类分析的城市POI感知方法,首先,对LBSN数据进行预处理,包括清洗重复数据、删除无效数据、数据预分类等,以提高数据的有效性;其次,提出一种改进的DBSCAN算法,对处理后的数据进行聚类分析,从而得到准确度较高的城市各类POI分布情况。实验结果表明,与传统的DBSCAN算法以及K-means算法相比,本文提出的算法有更好的聚类效果,且在聚类指标上有更大的CH指数值和更小的DBI指数值。
文摘以太原市主城区作为研究区域,基于兴趣点(Point of Interest, POI)数据,采用核密度分析、局部Getis-OrdGI~*指数等方法,对城市商业空间格局进行了研究,在其现有商业空间格局的基础上借助等值线树法对商业中心进行了识别,并对各类行业的空间分布及集聚特征进行了对比分析。结果表明:太原市主城区商业空间已经形成了以柳巷、朝阳以及亲贤北街商圈为中心向外围扩散的分布格局,体现出汾河以东集中连片、汾河以西零星分散的分布特征;识别出太原市主城区内46个基本商业中心,其中以柳巷、朝阳—双塔、体育路—亲贤北街为主城区三大核心商业中心;各类行业空间聚集表现不同,生活服务类、购物服务类以及餐饮服务类行业分布范围广、集聚程度小,医疗保健类、商务服务类、金融服务类行业分布范围小、集聚程度高。
