Research On The Analysis And Improvement Of Tourism Spatial Structure In Tangshan City

The purpose of this study is to optimize the tourism spatial structure in Tangshan City, for which is improved to the network-based model of tourism spatial structure, meanwile, to put forward specific the direction of tourism planning and tourism marketing strategy in the tourism resources (supply) and tourist market (demand) spatial structure point of view. According to this paper studied by the strong practial content, the study mainly uses the quantitative analysis, hardly uses the qualitative analysis, combined with a variety of the software aiding's analysis, meanwile, this paper strives to innovate the new methods to solve the question of tourism spatial structure.Firstly, the paper analyzes the domestic and international status of tourism spatial structure, summarizes the theories and the mothods of tourism spatial structure, so this paper puts forward the concept of tourism spatial structrure, defines the key elements of tourism spatial structrure, describes the related theory and the evolution model of tourism spatial structrure.Secondly, base on a systematic analysis of the key elements of tourism spatial structure in Tangshan City, this paper gets the current situation and existing problems of tourism resources, tourism flows and tourism supporting facilities, meanwile, according to tourism competitiveness analysis, this paper identified every counties'tourism conpetitiveness in Tangshan City, to establish the growth pole of tourism spatial structure, and then leads to tourism spatial structrure and tourism spatial structural model.Finally, according to the problems of tourism spatial structure in Tangshan City, and the status of tourism spatial structure and the model of tourism spatial structure, this paper try to put forward the network-based optimization strategy of tourism spatial structure, and then determine the tourism plate characteristics"maintains north, sea south, industry centrally", and on the foundation of which is put forward the optimization strategy of both tourism resources (supply) and tourist market (demand).