智慧旅游城市旅游竞争力评价

发布时间：2018-03-14 04:54

本文选题：智慧旅游城市　切入点：旅游竞争力评价　出处：《地理学报》2017年02期 　论文类型：期刊论文

【摘要】：提升旅游竞争力是智慧旅游城市建设的核心目标。在借鉴前人研究的基础上,建立包括5个一级指标、14个二级指标和33个三级指标的智慧旅游城市旅游竞争力评价指标体系,选取北京、南京、武汉、成都、大连、厦门等12个首批国家智慧旅游试点城市,通过模拟仿真运算构建智慧旅游城市旅游竞争力评价BP神经网络模型,并运用该模型对上述智慧旅游城市旅游竞争力进行评价和分析。结果表明:1旅游科技创新竞争力是影响智慧旅游城市旅游竞争力最关键的一级指标,其他一级指标按重要性排序依次为旅游经济发展竞争力、旅游发展保障竞争力、旅游发展潜力竞争力和旅游环境支撑竞争力;2中国智慧旅游城市旅游竞争力整体水平不高且极不均衡,根据评价等级和竞争态势分为5类。第一类北京市是中国智慧旅游城市旅游竞争力的标杆,5项一级指标评价值均领先于其他城市,总评价值高达0.887,评价等级AA、竞争态势"优势";第二类南京市旅游环境支撑竞争力评价值与北京市并列第1,旅游经济发展竞争力、旅游科技创新竞争力和旅游发展保障竞争力评价值均位列第2,总评价值0.536,明显高于除北京市外的其他智慧旅游城市,评价等级BB、竞争态势"较强";第三类武汉、大连、成都、厦门、镇江、温州、烟台7市代表目前中国智慧旅游城市旅游竞争力的普遍水平,5项一级指标评价值偏低且差距不明显,总评价值在0.3~0.4之间,评价等级B、竞争态势"一般";第四类福州、洛阳2市绝大多数一级指标评价值较低,总评价值在0.2~0.3之间,评价等级CC、竞争态势"较弱";第五类黄山市总评价值仅0.176,评价等级C、竞争态势"弱势";3构建的智慧旅游城市旅游竞争力评价BP神经网络模型具有较好的科学性、普适性和可操作性,根据评价值的大小判断智慧旅游城市旅游竞争力的优劣,比照指标体系寻找差距并加以完善,同时对评价指标进行动态监测,将是智慧旅游城市旅游竞争力研究的重要发展方向。
[Abstract]:Promoting tourism competitiveness is the core goal of intelligent tourism city construction. On the basis of previous studies, this paper establishes an evaluation index system of tourism competitiveness of intelligent tourism city, which includes 5 primary indexes, 14 second class indexes and 33 third class indexes. Beijing, Nanjing, Wuhan, Chengdu, Dalian and Xiamen are selected as the first batch of pilot cities for intelligent tourism, and the BP neural network model for evaluating the tourism competitiveness of intelligent tourism cities is constructed by simulating and simulating the cities, such as Beijing, Nanjing, Wuhan, Chengdu, Dalian, Xiamen and so on. The model is used to evaluate and analyze the tourism competitiveness of the intelligent tourist cities. The results show that the competitiveness of tourism science and technology innovation is the most critical index to affect the tourism competitiveness of intelligent tourism cities. The other first-level indicators in order of importance are the competitiveness of tourism economic development, the competitiveness of tourism development, and the competitiveness of tourism development. Tourism development potential competitiveness and tourism environment support competitiveness. 2 the overall level of tourism competitiveness of China's intelligent tourism cities is not high and extremely uneven. According to the evaluation level and competition situation, Beijing is divided into 5 categories. The first type of Beijing is the benchmark of tourism competitiveness of intelligent tourist cities in China. The evaluation values of the five first-class indexes are ahead of those of other cities. The total evaluation value is as high as 0.887, the evaluation grade AAand the competitive situation "advantage"; the second type Nanjing tourism environment support competitiveness evaluation value is tied with the Beijing Municipality in the first place, the tourism economy development competition ability, The evaluation value of the competitiveness of tourism science and technology innovation and the competitiveness of tourism development security are both ranked 2nd, with a total evaluation value of 0.536, which is obviously higher than that of other intelligent tourist cities except Beijing, and the evaluation grade BBB, competition situation is "stronger"; the third category Wuhan, Dalian, Chengdu, Xiamen, Zhenjiang, Wenzhou and Yantai represent the general level of tourism competitiveness of intelligent tourist cities in China at present. The evaluation values of the five first-class indexes are on the low side and the difference is not obvious. The total evaluation value is between 0.3 and 0.4. The evaluation grade B, the competition situation is "general", 4th kinds of Fuzhou, Luoyang two cities most first class index appraisal value is relatively low, the total appraisal value is 0.2n0.3. The total evaluation value of 5th kinds of Huangshan City is only 0.176, and the BP neural network model of the intelligent tourism competitiveness evaluation of tourism city is scientific, which is constructed by the evaluation grade C and the competitive situation "weak". According to the size of evaluation value, we judge the advantages and disadvantages of tourism competitiveness of intelligent tourist cities, look for the gap and perfect it by comparing with the index system, and carry on dynamic monitoring to the evaluation index at the same time. It will be an important developing direction for the study of tourism competitiveness of intelligent tourist cities.
【作者单位】：广西师范大学历史文化与旅游学院;广西师范大学职业技术师范学院;
【基金】：国家自然科学基金项目(41361019) 国家社会科学基金项目(08BMZ041) 教育部“新世纪优秀人才支持计划”(NCET-12-0652)~~
【分类号】：F592.7

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