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作 者:王焱 柯文前[1,3] 林李月 肖宝玉[1,3] WANG Yan;KE Wenqian;LIN Liyue;XIAO Baoyu(School of Geographical Science,School of Carbon Neutrality Future Technology,Fujian Normal University,Fuzhou 350117,China;Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education,Fujian Normal University,Fuzhou 350117,China;Institute of Geography,Fujian Normal University,Fuzhou 350117,China)
机构地区:[1]福建师范大学地理科学学院、碳中和未来技术学院,福州350117 [2]福建师范大学湿润亚热带生态地理过程教育部重点实验室,福州350117 [3]福建师范大学地理研究所,福州350117
出 处:《亚热带资源与环境学报》2024年第1期143-150,共8页Journal of Subtropical Resources and Environment
基 金:福建省自然科学基金面上项目(2022J01620、2021J01145)。
摘 要:基于公路客流视角,采用社区发现算法和地理探测器对福建省县级单元间联系的空间组织模式及影响因素进行分析。结果表明:1)福建省公路客流呈现明显的距离衰减特征,在此规则支配下其宏观格局呈现沿海连绵成带的同时发育了地市内或地市间连接紧密的网络结构,而内陆则以地市为界的网络特征明显。2)基于walk trap的社区发现算法挖掘出福莆宁、厦泉、漳州、南平、三明和龙岩社区等6个网络社区,社区内县级单元的组合并不完全受拘于行政边界,客流联系强的县级单元往往会突破行政边界的限制,进入到吸引力更强的社区中,而客流联系较弱的仅在地市行政边界内部形成网络,在此基础上划分了单核心、双核心、两大一小双组团以及多核心4种空间组织模式。3)地理探测器的分析显示,城镇化水平、第三产业增加值、社会消费品零售总额是影响福建省县级单元间公路客流空间组织的重要驱动因素。This article is based on the perspective of highway passenger flow,using community discovery algorithms and geographic detectors to analyze the spatial organization patterns,and influencing factors among county-level units in Fujian Province.The results indicate that,1)the highway passenger flow in Fujian Province suggests a significant distance attenuation feature.Under this rule,its macro pattern shows a continuous coastal belt formation while developing a tightly connected network structure within or between cities,however the inland network features a clear boundary between cities.(2)The community discovery algorithm based on walk trap has excavated six network communities,including Fuzhou-Putian-Ningde community,Xiamen-Quanzhou community,Zhangzhou community,Nanping community,Sanming community,and Longyan community.The combination of county-level units within the community is not entirely constrained by administrative boundaries.County-level units with strong passenger flow connections often break through administrative boundaries and enter the more attractive communities,while those with weaker passenger flow connections only form a network within the administrative boundaries of the prefecture.Based on this,four spatial organization modes were divided:single core,dual cores,two large and one small dual clusters,and multi cores.(3)Through GeoDetector,it was found that urbanization level,added value of the tertiary industry,and total retail sales of consumer goods are important driving factors affecting the spatial organization of passenger flow on county-level units in Fujian province.
关 键 词:公路客流 空间组织模式 社区发现 地理探测器 福建省
分 类 号:K921[历史地理—人文地理学]
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