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作 者:刘重路 程晓菁 倪镇东 林宝民[1] LIU Chonglu;CHENG Xiaojing;NI Zhendong;LIN Baomin(School of Cultural Tourism and Public Administration,Fujian Normal University,Fuzhou 350117,China)
机构地区:[1]福建师范大学文化旅游与公共管理学院,福建福州350117
出 处:《福建师范大学学报(自然科学版)》2023年第3期141-148,共8页Journal of Fujian Normal University:Natural Science Edition
基 金:2020年数字福建旅游大数据研究所开放基金项目(DFJTBDRI2020101)。
摘 要:以中国夜间经济十佳城市——福州市为例,依托POI数据和夜间灯光数据以及GIS空间分析技术,分析了福州市夜间旅游空间布局、业态集聚特征,并且以夜间灯光数据和POI耦合结果为依据提出业态布局特征的优化对策.研究发现:(1)福州市的夜间旅游业态布局显现出由中心城区集中向远城区蔓延,多核引领模式的发展规律;(2)区域业态发展失衡,热点区域的夜间旅游业态均衡发展,次热点区域多由单一业态引领;(3)对灯光数据和POI数据耦合发现,两者耦合效果较好,可以看出夜间旅游业态分布格局大致是由中心城区向远城区发展,总体格局呈现为东聚西散的发展态势;(4)福州市夜间旅游业态总体分布格局是人地相互作用的结果,依据热点区域和耦合结果来看,总体分为三大板块——核心旅游板块、次级旅游板块、延伸旅游板块,并按照各自区域的实际情况提出相应优化对策.Based on POI data,night lighting data and GIS spatial analysis technology,this study takes Fuzhou,one of the top ten cities in China's night economy as an example,and studies the spatial layout and business agglomeration characteristics of night tourism in Fuzhou.We put forward the optimization countermeasures for the business layout characteristics based on the night light data and POI coupling results.The study found that:(1)The layout of night tourism in Fuzhou shows the development pattern of multi⁃core leading from the central urban area to the distant urban area;(2)The development of regional business forms is unbalanced,the development of night tourism forms in hotspot areas is balanced,and the sub⁃hot areas are mostly led by single business forms;(3)The coupling of lighting data and POI data shows a good effect,and it can be seen that the distribution pattern of night tourism industry develops from the central urban area to the remote urban area,and the overall pattern is gathering in the east and scattered in the west;(4)The overall distribution pattern of night tourism in Fuzhou is the result of the interaction between people and land.According to the hot spots and coupling results,it can be divided into three major sectors:core tourism,secondary tourism and extended tourism.According to the actual situation of each region,corresponding optimization countermeasures are put forward.
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