| One of the main ways to implement the concept of green tourism is to encourage more tourists to choose public transport,and the public transport accessibility level of scenic spots is an important factor to determine whether tourists choose public transport.Therefore,the research on accessibility measurement methods and improvement strategies is of great value.However,most of the existing studies only focus on the macro space-time distance and ignore the micro travel process details,only consider the objective physical supply such as vehicle road and ignore the subjective psychological perception of passengers,and have the limitations of "measurable and difficult to improve".In view of these limitations,this paper makes an in-depth study by means of multi-source data acquisition,regression modeling,spatial analysis and IPA method.In order to make up for the lack of micro factors and the separation of subjective and objective factors in the public transport accessibility measurement method,this paper establishes a multiple logistic regression model based on the perception survey data,and analyzes the influence mechanism and influence weight of 10 indicators at the three levels of individual characteristics,public transport travel chain and attraction of scenic spots on the perceived convenience by using the regression coefficient and standardization coefficient respectively;On this basis,taking the "predicted perceived convenience level" as the accessibility evaluation standard,the public transport accessibility index model of urban scenic spots is established.Taking all public transport stations and their surrounding discrete points in the Third Ring Road of Wuhan as the starting point and 15 research scenic spots as the end point,the geographical coordinates of all locations and the public transport travel chain data between all starting and ending points are obtained through the map API;Based on the group perspective with the lowest perceived convenience,the accessibility index between all starting and ending points and the global average accessibility index of each scenic spot are calculated;The spatial distribution and agglomeration characteristics of accessibility index are visually analyzed by using the spatial analysis function of Arc GIS,and compared with the measurement effect of traditional methods.The results show that the accessibility index model has the advantages of refinement and conforming to travel psychology.In order to make up for the deficiency of "measurable and difficult to improve" in traditional accessibility research,a multi-destination travel chain theory based on Tourism origin is proposed.From the perspectives of "tourism origin scenic spot" and "scenic spot scenic spot",a micro quantitative public transport accessibility improvement strategy for urban scenic spots is formulated-using the travel chain index weight to determine the accessibility improvement measures and priorities;Combined with the travel demand and accessibility index between starting and ending points,IPA method is used to determine the travel chain to be improved;Analyze the feasibility of improvement measures for the travel chain to be improved and finally determine the improvement measures.The study found that: 1)the group characteristics with the lowest perceived convenience are "middle-aged and young people(26-59 years old),high income(more than 8000 yuan)and foreign tourists";2)The weight of each index of the travel chain to the accessibility index from large to small is: the positive impact is the subway sharing rate and riding sharing rate,and the negative impact is the non motorized travel distance,transfer times,total travel distance and non-linear coefficient;3)The scenic spot with the highest global average accessibility index is Jianghan Road / Zhongshan Avenue,and the lowest is East Lake greenway-Moshan;4)After taking improvement measures,the accessibility index of each travel chain has been improved to varying degrees.Taking the analysis of tourists’ perceived convenience as the starting point and improving the "predicted perceived convenience level" as the foothold,this paper establishes a fine public transport accessibility measurement method with macro and micro coordination and the combination of subjective and objective,and a micro quantitative public transport accessibility improvement strategy system.The research results are of great significance to reasonably set up public transport stations,optimize line connection,assist tourists in path planning and attract tourists to choose public transport. |