Analysis On User Intention Of Urban Shared Vehicle And Research On Network Layout Design

Car sharing is following the net cars,a new form of transportation have the potential for development.It is not only convenient for people to travel in the lower threshold,ease of ordinary household car city motor vehicle ownership has advantages,there are many benefits in the development of new energy vehicles,parking resources and other aspects of the city of idle inventory.Our car sharing business development for nearly ten years of experience,made some achievements.But the overall development is still facing a series of problems.How to ensure the sharing of automobile industry better development,also need to support a large number of scientific research.In order to improve the utilization rate of city car sharing,studied car sharing user intention to influence and sharing two aspects optimization of automotive network layout design.Firstly,this paper introduces the concept and current situation of car sharing,and compares it with car rental service,Analysis of the reasons for sharing,city car business outbreak of three kinds of development mode,the typical user characteristics,usage scenarios,and limits users sharing factors of car travel and car sharing the future direction of development etc..Then,taking Chongqing city as an example,this paper introduces the development status of network construction and automobile sharing in Chongqing city,and take Chongqing city taxi,car sharing and car travel price comparison about network,so that car sharing travel price advantage.Then,based on the technology acceptance theory and structural equation model to construct the user using a shared research model of car travel intentions.Through the sharing of car users to collect research data,completing the questionnaire reliability and validity,the data into the SEM model fitting.By adjusting the model assumptions,the model fits best level.The effect of the latent variable model of car sharing travel intentions: usage attitude(0.779),perceived price level(0.685),perceived ease of use(0.616),perceived usefulness(0.583),perceived service level(0.498)and perceived safety level(0.334).Then explain the fitting result of the model.Collect the POI data of Baidu trip,and use the offline user survey to expand the Baidu POI data.Using K-means clustering analysis method,data of the POI extension,from the angle of trip generation and trip attraction occurs repeatedly clustering center and center of attraction.Finally,the design of car sharing network layout in the center and the center of attraction occurs bidirectional constraint under.Then,the layout design is optimized by elbow method.Through the example of layout design and optimization of Chongqing city car sharing outlets,to make the distance of more than 1km the number of outlets center to reduce the proportion of less than 1km,significantly increased the proportion of;proved that the method is feasible.