西北五省区域旅游流与交通网络耦合协同关系研究

发布时间：2018-06-03 02:50

本文选题：西北五省 + 区域旅游流　；参考：《长安大学》2017年硕士论文

【摘要】：交通是旅游发展的前提,是旅游研究中的热点问题。旅游流是旅游需求的显化,而旅游需求需要靠旅游交通实现。目前国内对旅游交通的研究主要集中在交通的规划,碳足迹和影响等方面,对旅游流与交通关系的研究仍然较少。而旅游流与交通之间的具有明显的互动关系,作为连接目的地与旅游者的桥梁,旅游交通是旅游活动中至关重要的一个环节。西北五省地理位置偏远,可进入性较差,虽然拥有较高品质的旅游资源,但旅游资源的丰富度较低,且较为分散,交通是制约西北五省旅游发展的重要因素。本文以系统论,耦合理论和协同理论为理论根据,选取了陕西,甘肃,宁夏,青海,新疆西北五省为研究平台,以区域旅游流和交通网络之间的耦合协同关系作为研究对象,通过获取西北五省官方统计数据并运用SPSS和EXCEL等软件对数据进行处理,采取定量和定性相结合的研究方法,测算出2006-2015年西北五省区域旅游流与交通网络的综合发展水平和耦合协同发展程度,并对两者的综合发展水平和耦合协同发展程度进行了时序分析。根据灰色关联理论对影响区域旅游流与交通网络系统耦合协同发展的十五项指标进行了分析,并对影响系统耦合协同发展的指标进行了大小排序,最后对2006-2015年西北五省区域旅游流与交通网络系统耦合协同发展的差异进行了绝对差异和相对差异的对比分析。主要研究内容是:1.在借鉴前人研究成果的基础上,选取了区域旅游流与交通网络的评价指标并构建了指标评价体系;2.确定了系统耦合协同等级并构建了区域旅游流与交通网络综合发展水平模型和耦合协同关系模型并运用熵值法求出指标权重;3.对西北五省区域旅游流与交通网络的综合发展水平和耦合协同发展程度进行时序分析;4.运用灰色关联度模型,对西北五省区域旅游流与交通网络中影响系统耦合协同发展程度的指标进行了关联度测算;5.运用绝对差异和相对差异模型对西北五省区域旅游流与交通网络耦合协同发展的差异性进行了分析。
[Abstract]:Traffic is the premise of tourism development and a hot issue in tourism research. Tourism flow is the manifestation of tourism demand, which needs to be realized by tourism transportation. At present, the domestic research on tourism traffic is mainly focused on traffic planning, carbon footprint and impact, etc. The research on the relationship between tourism flow and traffic is still less. As a bridge between destination and tourists, tourism traffic is a crucial link in tourism activities. The five northwest provinces have remote geographical location and poor accessibility. Although they have high quality tourism resources, the richness of tourism resources is low and scattered. Traffic is an important factor restricting the development of tourism in the five northwest provinces. Based on system theory, coupling theory and synergetic theory, this paper selects Shaanxi, Gansu, Ningxia, Qinghai and Xinjiang Northwest provinces as the research platform, and takes the coupling and coordination relationship between regional tourism flow and traffic network as the research object. By obtaining the official statistics of the five provinces in Northwest China and using software such as SPSS and EXCEL to process the data, the research method of combining quantitative and qualitative methods is adopted. The comprehensive development level and the degree of coupling and coordination of regional tourism flow and transportation network in five provinces of Northwest China from 2006 to 2015 are calculated and the time series of their comprehensive development level and coupled cooperative development degree are analyzed. According to the grey relation theory, the paper analyzes the 15 indexes that affect the coupled and cooperative development of the regional tourism flow and the transportation network system, and sorts the indexes that affect the coupled and cooperative development of the regional tourism flow and the transportation network system. Finally, the paper makes a comparative analysis of the absolute and relative differences between the development of tourism flow and traffic network system in the five provinces of Northwest China from 2006 to 2015. The main research content is: 1. Based on the previous research results, the evaluation index of regional tourism flow and transportation network is selected and the evaluation system of regional tourism flow and transportation network is constructed. The level of system coupling cooperation is determined, and the integrated development level model and coupling cooperative relationship model of regional tourism flow and transportation network are constructed, and the index weight is calculated by entropy method. This paper analyzes the comprehensive development level and the degree of coupling and coordination of regional tourism flow and transportation network in five provinces of northwest China. Based on the grey correlation degree model, this paper calculates the correlation degree of regional tourism flow and traffic network in five provinces of Northwest China. By using absolute and relative difference models, the paper analyzes the difference of the coupled development of regional tourism flow and transportation network in five provinces of Northwest China.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F592.7;F512.7

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