Research On Tourism Resource Integration In Central Region Of Liaoning

With integrative trend of economic globalization and region integration, tourism co-operation is the common goal for all districts to develop tourism. The current way of using tourism resource has already broken down the administrative zone, co-operation cross districts, and joint development is becoming development trend for the tourism industry. Recently, there are various forms of regional tourism co-operation introduced at home and abroad and tourism resource integration has attracted more attention, in order to realize sustainable development of tourism; improve Optimizing tourism resources, and enhance tourism overall competitiveness, other countries and regions are pressing on tourism resource integration and optimization.This paper focused on seven cities located in central region of Liaoning Province, in terms of Shenyang, Fushun, Benxi, Anshan, Liaoyang, Yingkou and Tieling which is the unit area for this research. The goal for this research is going to integrate and optimize the tourism resource is central region of Liaoning. First of all, this paper analyses the background of tourism economics in Liaoning and rest of China, then defined the application status and development direction of regional tourism. Secondly, the paper researched on progress of studies on the theory of regional tourism integration, and then defined the existing issues. Thirdly, it is going to delimitate the definitions of regional tourism resource integration, discuss the related theories and analyses the survey and characters of tourism resource in central region of Liaoning. Moreover, combination the feasibility analysis and SWOT analysis, find of current face of the deep-seated problems. Ultimately, from the perspective of the overall planning tourism, propose the specific countermeasures. In the integration measures of tourist routes, application of operations research theory, establish a mathematical model of the shortest path problem to solve the optimal programs. And separately propose the linear, ring, and fixed tourism route optimization problems. Then through the model dynamic adjustment, make it fit for more extensive range of applications, and more flexible. To apply quantitative research method to tour routes optimization.