郑州市居民自驾车旅游制约因素研究
发布时间：2019-02-15 03:14
【摘要】：进入21世纪，随着我国国民经济的飞速发展，居民可支配收入的不断增多，人们已经不满足于传统的跟团旅游的出游方式，自驾车旅游因其自由，自助，个性化等特点，逐步成为一种新的出游方式，越来越受到旅游者的青睐。自驾车旅游市场因此成为新兴的旅游市场，焕发出勃勃生机，市场潜力巨大。但目前我国的自驾车旅游市场尚处于发展的起步阶段，有许多问题有待认识、研究和解决。国内外研究以分析自驾车旅游市场、旅游者行为、旅游产品居多，很少清楚、深入地分析制约自驾车旅游的各种因素，因此进行自驾车旅游制约因素方面的研究就显得十分必要。 本文在回顾国内外相关文献与理论研究的基础上，以郑州市自驾车旅游者为研究对象，采用定性和定量相结合的研究方法，通过问卷调查的形式，针对自驾车旅游的制约因素进行系统、全面的分析。利用SPSS19.0软件对数据进行描述性统计分析、交叉分析，着重对郑州市居民自驾车旅游者人口结构特征和行为特征分析进行数据分析，，得到结果郑州自驾车旅游者以中青年白领阶层为主要人群，男性居多。以两至三天，单程距离在300公里以内的省内游为主，出游目的以休闲放松和观光游览为主。然后对自驾车旅游的制约因素进行因子分析，萃取出三个制约因子，按其影响大小依次为结构制约因素、经济制约因素、自身和人际制约因素。在因子分析的基础上，为获得自驾车旅游者不同人口学特征与旅游制约因素之间的差异关系，对所得的数据进行单因素方差分析，然后得到结果：性别对这三个制约因素均没有显著影响；年龄、职业、月收入对经济制约有显著影响，对自身和人际制约因素、结构制约因素没有显著影响；家庭结构对结构制约有显著影响，对自身和人际制约因素、经济制约均没有显著影响。最后，总结了本研究得出的结论，对旅游相关管理部门、各种自驾车旅游组织经营者提出建议和对策，以及在研究中存在的不足。 希望所得的研究结果，能帮助政府相关旅游管理部门及旅游企业进一步开发、规划自驾车旅游市场，为自驾车旅游者提供更好的服务，给出参考信息。
[Abstract]:In the 21st century, with the rapid development of our national economy and the increasing disposable income of residents, people are not satisfied with the traditional way of traveling with groups. Self-driving tourism is characterized by its freedom, self-help, individuation and so on. Gradually become a new way to travel, more and more favored by tourists. As a result, the self-driving tourism market has become a new tourism market, glowing with vitality and great market potential. However, the market of self-driving tourism in China is still in the initial stage of development, there are many problems to be recognized, studied and solved. Domestic and foreign studies to analyze the self-driving tourism market, tourist behavior, tourism products are the majority, rarely clear, in-depth analysis of the constraints of self-driving tourism factors, Therefore, it is necessary to study the restrictive factors of self-driving tourism. On the basis of reviewing the relevant literature and theoretical research at home and abroad, this paper takes the self-driving tourists in Zhengzhou as the research object, adopts the research method of combining qualitative and quantitative, through the form of questionnaire, Aiming at the restriction factors of self-driving tourism, this paper makes a systematic and comprehensive analysis. With the help of SPSS19.0 software, the data are analyzed by descriptive statistics and cross-analysis, and the population structure and behavior characteristics of resident self-driving tourists in Zhengzhou are analyzed. Results Zhengzhou self-driving tourists mainly middle-aged white-collar class, male majority. Two to three days, one-way distance within 300 km of provincial tourism, the main purpose of travel to relax and sightseeing. Then the factors of self-driving tourism are analyzed and three factors are extracted. According to the size of the factors, they are structural constraints, economic constraints, self-constraints and interpersonal constraints. On the basis of factor analysis, in order to obtain the difference between the demographic characteristics of self-driving tourists and tourism constraints, the data were analyzed by single factor variance analysis. The results are as follows: gender has no significant influence on these three factors; Age, occupation and monthly income have a significant impact on economic constraints, but not on their own and interpersonal constraints, structural constraints; Family structure has a significant impact on structural constraints, but not on their own and interpersonal constraints, economic constraints. Finally, the paper summarizes the conclusions of this study, and puts forward some suggestions and countermeasures to tourism related management departments, various self-driving tourism organization operators, as well as the shortcomings in the study. It is hoped that the research results will help the relevant tourism management departments and tourism enterprises to further develop, plan the self-driving tourism market, provide better services for self-driving tourists, and provide reference information.
【学位授予单位】：河南大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F592.7
本文编号：2422903
[Abstract]:In the 21st century, with the rapid development of our national economy and the increasing disposable income of residents, people are not satisfied with the traditional way of traveling with groups. Self-driving tourism is characterized by its freedom, self-help, individuation and so on. Gradually become a new way to travel, more and more favored by tourists. As a result, the self-driving tourism market has become a new tourism market, glowing with vitality and great market potential. However, the market of self-driving tourism in China is still in the initial stage of development, there are many problems to be recognized, studied and solved. Domestic and foreign studies to analyze the self-driving tourism market, tourist behavior, tourism products are the majority, rarely clear, in-depth analysis of the constraints of self-driving tourism factors, Therefore, it is necessary to study the restrictive factors of self-driving tourism. On the basis of reviewing the relevant literature and theoretical research at home and abroad, this paper takes the self-driving tourists in Zhengzhou as the research object, adopts the research method of combining qualitative and quantitative, through the form of questionnaire, Aiming at the restriction factors of self-driving tourism, this paper makes a systematic and comprehensive analysis. With the help of SPSS19.0 software, the data are analyzed by descriptive statistics and cross-analysis, and the population structure and behavior characteristics of resident self-driving tourists in Zhengzhou are analyzed. Results Zhengzhou self-driving tourists mainly middle-aged white-collar class, male majority. Two to three days, one-way distance within 300 km of provincial tourism, the main purpose of travel to relax and sightseeing. Then the factors of self-driving tourism are analyzed and three factors are extracted. According to the size of the factors, they are structural constraints, economic constraints, self-constraints and interpersonal constraints. On the basis of factor analysis, in order to obtain the difference between the demographic characteristics of self-driving tourists and tourism constraints, the data were analyzed by single factor variance analysis. The results are as follows: gender has no significant influence on these three factors; Age, occupation and monthly income have a significant impact on economic constraints, but not on their own and interpersonal constraints, structural constraints; Family structure has a significant impact on structural constraints, but not on their own and interpersonal constraints, economic constraints. Finally, the paper summarizes the conclusions of this study, and puts forward some suggestions and countermeasures to tourism related management departments, various self-driving tourism organization operators, as well as the shortcomings in the study. It is hoped that the research results will help the relevant tourism management departments and tourism enterprises to further develop, plan the self-driving tourism market, provide better services for self-driving tourists, and provide reference information.
【学位授予单位】：河南大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F592.7
【参考文献】
相关期刊论文 前1条
1 关宏志,邵洁,李亚茹,白洪岭;自驾车旅游交通行为分析模型[J];城市交通;2005年04期
本文编号：2422903
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