检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:杨亚璪[1,2] 宾涛 朱小刚 YANG Yazao;BIN Tao;ZHUANG Xiaogang(School of Traffic and Transportation,Chongqing Jiaotong University,Chongqing 400074,China;Chongqing Key Laboratory of Intelligent Integrated and Multidimensional Transportation System,Chongqing 400074,China;Urban and Rural Planning and Design Institute Co.,Ltd.,Zhejiang University,Hangzhou 310000,China;College of City Construction,Jiangxi Normal University,Nanchang 330022,China)
机构地区:[1]重庆交通大学交通运输学院,重庆400074 [2]智能综合立体交通重庆市重点实验室,重庆400074 [3]浙江大学城乡规划设计研究院有限公司,浙江杭州310000 [4]江西师范大学城市建设学院,江西南昌330022
出 处:《昆明理工大学学报(自然科学版)》2024年第5期160-169,共10页Journal of Kunming University of Science and Technology(Natural Science)
基 金:国家自然科学基金项目(52472339);教育部人文社科基金项目(17YJCZH220).
摘 要:为了挖掘用地类型对共享单车空间分布特征的影响程度,基于厦门岛共享单车骑行起讫点数据,采用邻接关系建立空间权重矩阵,计算共享单车骑行起点与终点的全局与局部自相关指数,结合LISA图分析共享单车空间聚集特征.从点与面角度,通过考虑邻域效应的灰色关联度,分析用地类型与共享单车空间分布间关联程度,建立引入虚拟变量的回归模型评估用地类型对共享单车空间分布的影响程度.结果表明:共享单车空间分布存在聚集现象,具有显著自相关性.空间聚集特征可分为高-高、高-低、低-高、低-低四个类型,占比分别为8.68%、0.09%、34.69%、3.65%;共享单车空间分布与用地类型间存在显著关联性,其中,居民聚集地包括居住用地、商业金融用地、科研教育用地等,对共享单车空间分布影响最大,影响权重分别为13.410、7.730、7.644.研究结论体现出厦门岛共享单车分布与不同用地类型的空间关联差异性,可为城市规划和共享单车投放提供决策依据.In order to explore the influence of site types on the spatial distribution characteristics of shared bicycles,this study,based on the origin and destination data of shared bicycle rides on Xiamen Island,established a spatial weight matrix using adjacency relationships.Global and local autocorrelation indices were calculated for the starting and ending points of shared bicycle rides.Combined with LISA diagram,spatial aggregation characteristics of shared bicycles were analyzed.From both point and area perspectives,the correlation between land use types and the spatial distribution of shared bicycles was analyzed using a gray correlation analysis considering neighborhood effects.A regression model with introduced dummy variables was established to assess the degree of impact of land use types on the spatial distribution of shared bicycles.The results indicate that there is an aggregation phenomenon in the spatial distribution of shared bicycles with significant spatial autocorrelation.Spatial aggregation characteristics can be categorized into four types:high-high,high-low,low-high,and low-low,accounting for 8.68%,0.09%,34.69%,and 3.65%,respectively.There is a significant correlation between the spatial distribution of shared bicycles and land use types.Residential gathering places,including residential,commercial,financial,research,and educational areas,have the greatest impact on the spatial distribution of shared bicycles,with influence weights of 13.410,7.730,and 7.644,respectively.The study s conclusions demonstrate the spatial correlation differences between the distribution of shared bicycles on Xiamen Island and various land use types,providing decision-making support for urban planning and shared bicycle deployment.
关 键 词:空间分布 共享单车 MORAN指数 灰色关联度 回归分析
分 类 号:F572.88[经济管理—产业经济] F301.2[自动化与计算机技术—计算机软件与理论] TP311.13[自动化与计算机技术—计算机科学与技术] F724.6
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.117.115.50