A Study On The Location And Layout Of Homestay In Wuling Mountain Area Of Western Hubei

In the development situation of tourism in full swing,the construction of residential accommodation in Wuling Mountain area of western Hubei ushered in blowout development,but the development of residential accommodation accompanied by spontaneity and blindness did not form a forward-looking systematic development and reasonable layout,which will not be conducive to the healthy development of the local residential industry.Therefore,how to establish a scientific and reasonable location model of lodging in Wuling Mountain area in western Hubei has become an urgent problem.Based on the analysis of the tourism problem and demand,the demonstration of the index factor and the spatial distribution law of the residential location in Wuling Mountain area of western Hubei Province,this paper takes the location layout of residential accommodation as the research object And the construction,verification and prediction of residential location prediction model to carry out in-depth research on residential location.Specific studies are as follows:First of all,explore the present situation and demands of residential tourism in Wuling Mountain area of western Hubei,through the analysis of the present situation and policy demands of tourism development in this area,the questionnaire of tourists’ demands,find that there are unbalanced problems in the development of residential accommodation in Wuling Mountain area of western Hubei,and make the mature development of residential accommodation in Lichuan City and the development of residential accommodation in the lag of the wild three customs become two typical representatives.Based on the characteristics of tourism behavior of residential tourists,ArcGIS network analysis tools are used to determine the scope of tourist activities in Lichuan and Ye Sanguan as the research area,and the present situation of residential tourism resources and residential development in these two areas is compared and analyzed.Residential status is too small,there is a huge future site planning needs.Lichuan’s mature residential development experience can provide reference for residential development in the wild San Guan area.variable factors and the parameter test were carried out to correct the regression prediction data.Finally,a reasonable regression prediction model of residential location was obtained.Secondly,using Delphi method to establish the index factor system of residential location.According to the relevant literature research,the questionnaire of residential location intention is designed,and the expert team is selected to consult and collect the contents of the index factors of residential location,and the results of the consultation are analyzed and processed,and the index factors of residential core location are obtained as independent variables in regression analysis.Furthermore,based on the multiple linear regression method,Lichuan residential as a sample,building residential location prediction model.The independent variables of residential location were quantified,the dependent variables were selected as tourist scores,and the index factors data of residential location in Lichuan were collected By using SPSS software to establish regression analysis of residential location variable factors,the linear regression relation of multiple factors is tested,the regression prediction data is corrected,and a reasonable residential location prediction model is obtained.Finally,the residential location prediction model is used to verify and predict the residential location in the wild Sanguan area.To construct the sample data set of the existing residential accommodation in the wild three pass,compare the predicted tourist score with the actual score,and control the error within 5%,prove that the prediction model is more accurate and feasible;then select the residential candidate point,and carry on the regression prediction analysis to the residential location in this area,and forecast the reasonable residential location points in the future,and put forward the corresponding site planning suggestions.