浙江省旅游交通与线路优化研究

发布时间：2018-06-01 19:59

本文选题：旅游交通 + 旅游线路　；参考：《南京师范大学》2013年硕士论文

【摘要】：旅游交通和旅游线路都是旅游研究的重要内容。旅游交通的便利程度直接影响旅游流的规模和方向,是衡量旅游业发展水平的重要指标。旅游线路由交通线把旅游者和旅游对象合理联系在一起,其开发水平会极大地影响区域旅游运营成效。浙江省旅游资源丰富,旅游经济综合实力强,而区域旅游经济发展不平衡,需要进一步加强浙江省旅游合作,促进全省旅游经济的整体进步,而优化区域旅游交通,组织安排合理的旅游线路是强化区域旅游合作的重要手段。本文在计算浙江省各县市重要度基础上,筛选出37个旅游目的地城市节点,并以各城市行政单元中心为点状要素,以干线公路为线状要素,采用地理网络的图论描述方法,构建浙江省旅游线路抽象图。通过距离度量模型和空间句法模型,构建系列通达性数理模型,定量分析浙江省旅游交通的空间结构性规律：浙江省旅游交通网络计算所得时间通达性指数与空间通达性指数相一致；整体上呈现以绍兴,金华,杭州三地级市为中心,逐渐向外辐射,随着空间距离的增大,通达性指数逐渐增大,通达性水平逐渐降低；浙江省旅游交通网络的连接度整体水平不高,网络结构相对脆弱,路网伺服能力较弱,应对突发网络“拥堵”的能力较弱,不利于浙江省旅游一体化发展；高集成度轴线集中分布于“井”字状城际走廊沿线；浙江省旅游交通网络质量与各市旅游经济发展水平基本保持相关性和一致性。接着采用图论最小生成树Kruskal算法,分别对浙江省旅游交通线路赋予理想距离,实际距离,时间距离的权重并求解。结果表明,基于时间距离求解所得的旅游交通线路,不仅满足最短时间连接各旅游目的地城市,也基本满足最短路径连接各旅游目的地城市。说明Kruskal算法在多山地丘陵区域的旅游线路选取中具有一定的可行性。本文根据修正后所得的旅游交通格局,设计出5条特色旅游线路,为实际的旅游交通规划与线路设计工作提供一定价值的参考。最后,文章提出了旅游交通和旅游线路优化的相关对策。
[Abstract]:Tourism traffic and tourism routes are important contents of tourism research. The convenient degree of tourism traffic directly affects the scale and direction of tourism flow and is an important index to measure the level of tourism development. The development level of tourist route can greatly affect the effect of regional tourism operation because of the reasonable connection between tourist and tourist object by traffic line. Zhejiang Province is rich in tourism resources and strong in comprehensive strength of tourism economy, but the development of regional tourism economy is unbalanced. It is necessary to further strengthen the tourism cooperation of Zhejiang Province, promote the overall progress of tourism economy of the whole province, and optimize the regional tourism transportation. Organizing and arranging reasonable tourist routes is an important means to strengthen regional tourism cooperation. On the basis of calculating the importance of counties and cities in Zhejiang Province, 37 urban nodes of tourist destination are selected, and taking the center of each city administrative unit as the point element and the trunk road as the linear element, the graph theory description method of geographical network is adopted. Construct the abstract map of tourism route in Zhejiang province. Through distance measurement model and spatial syntax model, a series of accessible mathematical models are constructed. Quantitative analysis of spatial structural law of tourism traffic in Zhejiang Province: the time accessibility index calculated by Zhejiang tourism traffic network is consistent with the spatial accessibility index, with Shaoxing, Jinhua, Hangzhou as the center, Gradually outward radiation, with the increase of space distance, accessibility index gradually increased, accessibility level gradually decreased; Zhejiang Province tourism traffic network connectivity level is not high, network structure is relatively fragile, road network servo capacity is weak, The ability to deal with sudden network congestion is weak, which is not conducive to the development of tourism integration in Zhejiang Province, and the high integration axis is concentrated along the "well" zigzag intercity corridor. The quality of tourism transportation network in Zhejiang Province and the level of tourism economic development of each city basically maintain the relativity and consistency. Then the minimum spanning tree (Kruskal) algorithm based on graph theory is used to assign the weights of ideal distance, actual distance and time distance to the tourism traffic routes in Zhejiang Province. The results show that the time distance can not only meet the shortest time to connect the tourist destination cities, but also satisfy the shortest path to connect the tourist destination cities. It shows that Kruskal algorithm is feasible in the selection of tourist routes in mountainous and hilly areas. According to the revised tourism traffic pattern, this paper designs five special tourist routes, which can provide some valuable reference for the actual tourism traffic planning and route design. Finally, the paper puts forward the related countermeasures of tourism traffic and tourism route optimization.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：U116.2;TP301.6;F592.7

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