基于G1-熵值的河南省智慧旅游城市发展潜力评价研究
发布时间：2019-05-19 21:53
【摘要】：文章以河南省18个省辖市作为研究的基本单元,从智慧旅游基础设施建设、智慧旅游经济发展、智慧旅游科技创新、智慧旅游环境支撑和智慧旅游硬件支撑这五个维度构建了智慧旅游城市发展潜力评价指标体系,采用主观权重确定的G1法与客观权重确定的熵值法分别确定各指标的主客观权重,根据综合权重的确定方法计算各指标的综合权重,分别利用每一个城市标准化处理后的各指标数据值乘各指标的综合权重,通过求和得到每个城市的智慧旅游发展潜力综合得分。结果显示:河南省智慧旅游发展潜力的综合得分及五个维度得分存在显著差异。处于潜力强区的有郑州、洛阳,处于潜力较强区的有新乡、开封、安阳、南阳、焦作,处于潜力较弱区的有许昌、平顶山、周口、信阳、驻马店、商丘,处于潜力弱区的有三门峡、濮阳、漯河、济源、鹤壁。各省辖市智慧旅游发展的优劣势存在较大差异,使得各省辖市今后的工作重点差别较大。
[Abstract]:This paper takes 18 municipalities in Henan Province as the basic units of the study, from the construction of intelligent tourism infrastructure, the development of intelligent tourism economy, and the innovation of intelligent tourism science and technology. The five dimensions of intelligent tourism environment support and intelligent tourism hardware support construct the evaluation index system of the development potential of intelligent tourism city. The subjective and objective weights of each index are determined by the G _ 1 method determined by subjective weight and the entropy method determined by objective weight, and the comprehensive weight of each index is calculated according to the determination method of comprehensive weight. The comprehensive score of intelligent tourism development potential of each city is obtained by summation by using the data value of each index after standardization processing to multiply the comprehensive weight of each index. The results show that there are significant differences in the comprehensive score and the five dimensions of the development potential of intelligent tourism in Henan Province. In the areas with strong potential are Zhengzhou, Luoyang, Xinxiang, Kaifeng, Anyang, Nanyang and Jiaozuo, and Xuchang, Pingdingshan, Zhoukou, Xinyang, Zhumadian and Shangqiu in the areas with weak potential. In the weak potential area are Sanmenxia, Puyang, Luohe, Jiyuan, Hebi. There are great differences in the advantages and disadvantages of the development of intelligent tourism among provinces and municipalities, which makes the key points of work of each municipality vary greatly in the future.
【作者单位】： 河南大学环境与规划学院;中原经济区智慧旅游河南省协同创新中心;
【基金】：国家社科基金项目(2015BJY130) 河南省教育厅人文社会科学研究项目(2013-QN-230) 河南省高等学校哲学社会科学研究“三重”重大项目(2014-SZZD-16) 河南大学硕士优秀学位论文培育计划(Y1516023)
【分类号】：F592.7
[Abstract]:This paper takes 18 municipalities in Henan Province as the basic units of the study, from the construction of intelligent tourism infrastructure, the development of intelligent tourism economy, and the innovation of intelligent tourism science and technology. The five dimensions of intelligent tourism environment support and intelligent tourism hardware support construct the evaluation index system of the development potential of intelligent tourism city. The subjective and objective weights of each index are determined by the G _ 1 method determined by subjective weight and the entropy method determined by objective weight, and the comprehensive weight of each index is calculated according to the determination method of comprehensive weight. The comprehensive score of intelligent tourism development potential of each city is obtained by summation by using the data value of each index after standardization processing to multiply the comprehensive weight of each index. The results show that there are significant differences in the comprehensive score and the five dimensions of the development potential of intelligent tourism in Henan Province. In the areas with strong potential are Zhengzhou, Luoyang, Xinxiang, Kaifeng, Anyang, Nanyang and Jiaozuo, and Xuchang, Pingdingshan, Zhoukou, Xinyang, Zhumadian and Shangqiu in the areas with weak potential. In the weak potential area are Sanmenxia, Puyang, Luohe, Jiyuan, Hebi. There are great differences in the advantages and disadvantages of the development of intelligent tourism among provinces and municipalities, which makes the key points of work of each municipality vary greatly in the future.
【作者单位】： 河南大学环境与规划学院;中原经济区智慧旅游河南省协同创新中心;
【基金】：国家社科基金项目(2015BJY130) 河南省教育厅人文社会科学研究项目(2013-QN-230) 河南省高等学校哲学社会科学研究“三重”重大项目(2014-SZZD-16) 河南大学硕士优秀学位论文培育计划(Y1516023)
【分类号】：F592.7
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