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基于网络文本的河北省滨海旅游地吸引力比较分析

Comparative Analysis of the Attractiveness of Coastal Destinations in Hebei Province Based on Web Text Mining
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摘要 在竞争的环境下旅游吸引力对目的地发展具有重要意义。文章从马蜂窝、同程旅游、携程网采集网络游记文本数据,采用文本挖掘和综合指数模型对河北省滨海旅游目的地形象感知和旅游吸引力进行分析。结果显示,(1)在目的地感知方面,秦皇岛以自然资源和滨海度假活动为核心形象,唐山以自然资源和历史文化为核心形象,沧州以武术和杂技文化为核心形象;游客对三市的情感态度均以正面情绪为主。(2)旅游吸引物以资源型为主,自然和人文旅游资源吸引力较强,而设施与服务、旅游活动体验性吸引力较弱。(3)旅游吸引力空间差异显著,秦皇岛目的地吸引力最高,唐山次之,沧州最低。 In a competitive environment,tourism attractiveness is of great significance to the development of destinations.This paper collected web travelogue text from tourism networkof Mafengwo,Tongcheng and Ctrip,and analyzed the image perception and attractiveness of coastal tourism destinations in Hebei Province by using text mining and comprehensive index model.The results show that,(1)in terms of destination perception,Qinhuangdao takes natural resources and coastal holiday activities as its core image,Tangshan takes natural resources and historical culture as its core image,and Cangzhou takes wushu and acrobatic culture as its core image.Visitors'emotional atitudes toward all three cities are dominated by positive emotions.(2)The tourist attractions are mainly resource-based,and the attraction of natural and cultural tourism resources is strong,while the attraction of facilities,services and tourism activities is weak.(3)The spatial difference of tourism attraction is significant.The attraction of Qinhuangdao is the highest,followed by Tangshan,and Cangzhou is the lowest.
作者 梁永国 洪昕 王立鑫 Liang Yongguo;Hong Xin;Wang Lixin(College of Ocean,Hebei Agricultural University,Qinhuangdao Hebei 066003,China;Culture,sports,radio,television and Tourism Bureau of Heshuo county(Cultural Relics Bureau),Bayingol Mongolian Autonomous Prefecture Xinjiang 841200,China;School of Intermational Economics and Management,Beijing Technology and Business University,Beijing 100048,China)
出处 《国土与自然资源研究》 2024年第2期85-90,共6页 Territory & Natural Resources Study
基金 河北省高等学校人文社会科学研究重点项目“双循环战略背景下河北省滨海旅游业高质量发展研究”(SD2021045)。
关键词 旅游吸引力 形象感知 文本挖掘 滨海目的地 tourism attractiveness image perception text mining coastal destinations
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