Landscape Evaluation Of Changchun Jingyuetan National Forest Park Based On The Perspective Of Tourism Experience

Urban landscape areas are important tourism resources and cultural icons of the city,and have a positive effect on people’s relaxation,recreation and stress relief,as well as driving the economic development and popularity of the city;the tourism experience can,to a certain extent,measure the development of landscape areas.This study uses AHP hierarchical analysis and SD semantic difference method,combined with literature research method,field research method and questionnaire survey method,to select Changchun Jingyuetan National Forest Park as the evaluation object,through questionnaire survey of landscape gardening professional experts,tourism industry related staff and some tourists,based on the tourism experience perspective of the park landscape evaluation,and based on the evaluation results to put forward relevant optimization suggestions.The results of the study are as follows.(1)Through the analysis and research of tourism experience and landscape evaluation methods,the application of landscape evaluation from the perspective of tourism experience at home and abroad is summarised,and it is concluded that the hierarchical analysis method and the semantic difference method are applicable to landscape evaluation and suitable for use in tourism experience evaluation,but they are less applied at present.(2)By reviewing and analyzing the relevant literature on hierarchical analysis and semantic difference method,the landscape evaluation system of Changchun Jingyuetan National Forest Park based on the perspective of tourism experience was constructed,and the target layer,criterion layer and indicator layer were established respectively.The target layer A is the landscape evaluation of Changchun Jingyuetan National Forest Park based on the perspective of tourism experience;the criterion layer B is environmental experience,service experience,landscape experience,project experience and emotional experience respectively;the indicator layer C includes natural environment,social and cultural environment,guide service,catering service,transportation service,public facilities,consumption price,opening hours,guidance signs,plant landscape,architectural landscape,water landscape,richness,local characteristics,participation,escape,and empathy.(3)By constructing a judgment matrix,the weights of each indicator of the evaluation model are obtained.By analyzing the results of the weights,it is obtained that the importance of the indicator layer is landscape experience,environmental experience,emotional experience,service experience and project experience in descending order,indicating that in the guideline layer,experts consider landscape experience to be the most important;in the indicator layer,the natural environment has the highest weight and catering service has the lowest weight,which shows that the natural environment is a more important factor affecting tourism experience,and catering service has less influence in tourism experience.(4)By using the semantic difference method to obtain the corresponding adjective pairs in the index layer,the public rating was obtained through questionnaire distribution,and combined with the weighting value of the experts’ scores,the final score of Changchun Jingyuetan National Forest Park landscape evaluation based on the perspective of tourism experience was75.999,indicating that the landscape content of Changchun Jingyuetan National Forest Park can basically meet most tourists’ experience,but in terms of service experience and project However,the score on service experience and project experience is low and needs to be optimized and improved.(5)Through the analysis of the landscape evaluation results of Changchun Jingyuetan National Forest Park based on the perspective of tourism experience,the existing problems such as the poor viewability of some landscape nodes,guide services need to be strengthened,individual public facilities and guidance signs need to be improved,and corresponding suggestions for optimisation are put forward.