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Research On Strategies To Improve Tourist Satisfaction In Taierzhuang Ancient Town Scenic Area

Posted on:2021-03-25Degree:MasterType:Thesis
Country:ChinaCandidate:H YanFull Text:PDF
GTID:2439330629489159Subject:Tourism Management
Abstract/Summary:PDF Full Text Request
In recent years,protective development has been carried out in Taierzhuang ancient town scenic area,which has restored the internal layout of the ancient town and the more important historical and cultural attractions,and formed the tourism image of Taierzhuang in ancient times.However,for tourists,the scenic spot is still dominated by sightseeing tourism,while there is a relative lack of immersive and experiential tourism perception products,and the willingness to revisit is not high.This is mainly due to the ancient town of the Taierzhuang scenic spot without following the tourist demand change make appropriate adjustments,the Taierhzhuang ancient town culture still stay in audio-visual sensory visitors,is still not fully mobilize people of all the senses,it is difficult to cause resonance on the visitors thought,thus cause the Taierhzhuang ancient town scenic tourist attraction is not enough,the lack of their own unique travel experience value of the scenic spot.By improving the objective factors affecting the satisfaction of tourists,this study improves the tourists’ sense of tourism experience and satisfaction degree,thus improving the economic,cultural and social benefits of Taierzhuang ancient town scenic spot.The first part is the introduction,focusing on introducing the research background,research purpose and significance of this paper.It explores the ideas and methods of studying tourist satisfaction in the ancient town of Taierzhuang,providing a clear theoretical direction for the following research.The second part is a theoretical study.It expounds the expectation difference theory,tourism experience theory and market segmentation theory,analyzes in detail the research situation of foreign and domestic tourists’ satisfaction,and sorts out the literature related to tourist satisfaction.The third part is the research design,on the basis of pre-existing satisfaction model,constructing tourist satisfaction theory model,proposes the corresponding assumptions of the model,based on the principle of establishing evaluation index system at the same time,select the appropriate indicator variables,the selected indicators variables into the questionnaire design,through the issuance of questionnaires for data collection;The fourth part is the ancient town of the Taierzhuang scenic tourist satisfaction the empirical analysis,first of all,using the Excel software will collect the questionnairedata for statistical analysis,using SPSS20.0 software,to sample survey data reliability analysis,validity analysis,factor analysis,correlation analysis,the final use IPA scatter diagram depicting the tourist satisfaction and importance of relationship;The fifth part is the strategy to improve the tourist satisfaction of The old town scenic spot of Taierzhuang.The problems reflected from the tourist satisfaction questionnaire in the old town scenic spot of Taierzhuang are targeted and specific to put forward Suggestions and countermeasures that can really improve the tourist satisfaction of the old town scenic spot of Taierzhuang.The sixth part is the research summary and prospect,which summarizes and summarizes the content of the research in the article,and points out the shortcomings of the article,and makes the corresponding prospect for the future research.Through the analysis and study of factors affecting the Taierzhuang ancient town tourism,such as eating,accommodation,travel,attractions,consumption,entertainment,all aspects of the factors,according to the six aspects of problems puts forward effective suggestions and strategies to improve tourist scenic spot in the ancient city of the Taierzhuang satisfaction,thereby enhancing intrinsic appeal of the scenic spot.
Keywords/Search Tags:Taierzhuang ancient town, Tourist satisfaction, IPA analysis
PDF Full Text Request
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