首页|用地类型对共享单车空间分布特征的影响分析

用地类型对共享单车空间分布特征的影响分析

扫码查看
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.
Impact Analysis of Land Use Types on the Spatial Distribution Characteristics of Shared Bicycle Spaces
In order to explore the influence of site types on the spatial distribution characteristics of shared bicy-cles,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 character-istics 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 aggre-gation phenomenon in the spatial distribution of shared bicycles with significant spatial autocorrelation.Spatial ag-gregation characteristics can be categorized into four types;high-high,high-low,low-high,and low-low,ac-counting 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,com-mercial,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.

spatial distributionbike-sharingMoran's indexgrey relational degreeregression analysis

杨亚璪、宾涛、朱小刚

展开 >

重庆交通大学交通运输学院,重庆 400074

智能综合立体交通重庆市重点实验室,重庆 400074

浙江大学城乡规划设计研究院有限公司,浙江 杭州 310000

江西师范大学城市建设学院,江西南昌 330022

展开 >

空间分布 共享单车 Moran指数 灰色关联度 回归分析

国家自然科学基金项目教育部人文社科基金项目

5247233917YJCZH220

2024

昆明理工大学学报(自然科学版)
昆明理工大学

昆明理工大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.516
ISSN:1007-855X
年,卷(期):2024.49(5)