文章摘要
陈金华,严尚霞.泉州市历史文化名镇名村名街空间特性及驱动力研究[J].国土资源科技管理,2020,37(3):74-85
泉州市历史文化名镇名村名街空间特性及驱动力研究
On the Spatial Distribution Characteristics and Their Driving Factors of Historical and Cultural Towns,Villages and Streets in Quanzhou City
  
DOI:
中文关键词: 历史文化  名镇名村名街  空间分布  影响因素  泉州市
英文关键词: historical cultures  famous towns,villages and streets  spatial distributions  influence factors  Quanzhou City
基金项目:
作者单位
陈金华 华侨大学旅游学院,福建泉州362021 
严尚霞 华侨大学旅游学院,福建泉州362021 
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中文摘要:
      分析泉州市历史文化名镇名村名街的空间分布特性及其背后驱动因素,以期为区域历史文化名镇名村名街的建设发展提供智力支持。采用地理信息技术等手段通过最近邻指数、地理集中指数、核密度分析法等揭示泉州市历史文化名镇名村名街的空间格局,并借助QAP分析法量化探究空间分布的驱动因素。研究发现:泉州市历史文化名镇名村名街空间分布:(1)呈凝聚型,集中程度高,均衡性较差;(2)在地理空间上形成三大集聚带,即永春县一带、鲤城区一带以及泉港区一带;(3)空间分布受社会经济发展、高新技术、交通便捷程度及高等教育人数的影响,其中经济发展水平高、高新技术增加快、交通便捷程度低和高等教育人数多的区域其历史文化名镇名村名街的数量越多。
英文摘要:
      This paper analyzed the distribution characteristics and driving factors of historical and cultural towns,villages and streets in Quanzhou city,in order to provide intellectual supports for the construction and development of regional ancient towns,villages and streets.This paper used geographic information technology to reveal the spatial pattern of historical and cultural towns,villages and streets in Quanzhou city with the help of the nearest neighbor distance index,geographic concentration index and kernel density analysis method.And the QAP analysis method was also used to quantitatively explore the driving factors of the spatial distribution.The results were shown as follows:(1)the spatial distribution of ancient towns,villages and streets in Quanzhou was agglomerated,with high concentration and poor balance;(2)three clusters were formed in the geographic space,including the Yongchun county,district of Licheng and Quangang in Quanzhou city;(3)the spatial distribution was affected by the level of the development of society and economy,cutting edge technology and transports,and the number of people with higher education backgrounds.The area with high level of economic development,fast increase of cutting edge technologies,poor conditions of the transport and large number of people with higher education backgrounds had more well known historical and cultural towns,villages and streets.
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