Research On Node Location Selection Of Urban Shared Car Network Considering User Intention

With the continuous development of the sharing economy,shared travel modes are gradually appearing in the public eye.One of them is represented by shared car travel.As an alternative transportation mode,shared cars can reduce the overall number of private cars for urban residents,thus alleviating traffic congestion and the related air pollution and energy consumption,which currently far outnumber the number of drivers in China.This phenomenon will help expand the scope of car-sharing operations and improve the quality of car-sharing services,which shows that car-sharing has good prospects for development in China.Relying on the National Key R&D Program(NO.2018YFB1601001)and the Jiangsu Postgraduate Research and Practice Innovation Program(SJCX20＿0046),this study carries out the research on the location of shared car network considering users’ use intention.The purpose of the research is to fully understand the factors affecting users’ use intention,so as to increase users’ travel use intention and provide certain methods and ideas for reasonable network location.The research methods and conclusions used in this paper are as follows:(1)Based on questionnaire survey and statistical analysis,the travel characteristics of carsharing users are comprehensively summarized and analyzed.The questionnaire is designed and distributed according to the use intention of shared car users,and 14 latent variables and corresponding observation items are constructed as the scale part of the questionnaire.The obtained user travel characteristics include travel distance distribution,travel purpose distribution and activity area distribution.The reliability of the data is proved by reliability and validity analysis.It provides effective data support and analysis basis for the analysis of shared vehicle use intention model and network location analysis.(2)The structural equation model is extended by constructing the user intention model,combined with the planned behavior theory,technology acceptance model and deconstruction planned behavior theory.Then understand the factors affecting users’ use intention and the relationship between them from multiple dimensions.Finally,it is concluded that factors such as perceived safety,perceived charge level and perceived facility level have indirect effects on the use intention,while behavior attitude,subjective norms and perceived behavior control have direct effects on the use intention of shared vehicles.(3)By grasping the key factors affecting users’ use intention,and combining this factor to build a network location model,the k-means algorithm is improved to solve the model.The results show that the shared car network obtained by the improved algorithm has better driving accessibility and demand distribution rate,and the intra class distance and distribution between each network are more uniform,so it has certain advantages,so it has certain advantages.The significance of the research is that through the research on users’ travel intentions and the location of shared cars,it provides certain ideas,analysis methods and countermeasures for increasing the utilization rate of shared car users,improving service levels,and promoting the development of shared cars.