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Research On The Influencing Factors Of Young People's Car Purchase Intention Under The Condition Of Car-hailing

Posted on:2020-08-16Degree:MasterType:Thesis
Country:ChinaCandidate:Z N DingFull Text:PDF
GTID:2392330599975085Subject:Transportation engineering
Abstract/Summary:PDF Full Text Request
Car purchase intention is the core starting point of vehicle ownership decision-making,and the ownership of private car is an important intermediary factor affecting individual travel choice behavior.As the main group of people who buy cars in the future,the youth population's change in car purchase intention is related to the change of urban motor vehicle ownership,which further affects the city's mobility,livability and sustainable development.At present,under the unprecedented prosperity of shared travel in China,the online Car-hailing provides people with an effective alternative to private cars.That discussing its impact on the intention of youth population to buy cars and the impact mechanism of related factors for the analysis of future urban traffic demand and the adjustment of planning management strategies is very important.This paper takes youth population aged 18-35 years as the research object,based on the existing framework of the theory of planned behavior in social psychology,combined with the theory of consumer behavior and the theory of perceived risk to rationally expand it,considering the influence of the external traffic environment under the conditions of the online Car-hailing on the car purchase intention of the youth population,adding three subliminal variables: perceived service quality,public transportation perceived service quality and perceived risk.Based on the correlation of theoretical variables,the basic hypothesis is proposed and the Likert 5 for investigating the factors which are affecting the car purchase intention of the young people is designed.457 valid samples were obtained after formal investigation.Further,the structural equation model is used to construct the intention model of the youth population car purchase.After the fit degree test and the model correction,the path influence effect between the variables and the importance of the load are obtained.Because the sub-groups in different life cycle stages have different perceptions of the external traffic environment,through typical correlation analysis and multi-group analysis,the relationship between socioeconomic variables and target latent variables is further explored,as well as the adjustment effect of demographic characteristics and online Car-hailing usage characteristics on the influence of theoretical model paths.Based on the above research work,this paper draws the following main conclusions:(1)In terms of the suppression effect of the purchase intention of the youth population,the unit value of improving the online Car-hailing service is not as significant as the promotion of public transportation or the implementation of relevant traffic demand management measures.The attitude to the vehicle is a key intermediary variable that links these external environments and car purchase intentions;(2)Youth population pay more attention to convenience when using online car and public transportation services.When they are aware of the risks brought by car purchase,they are greatly affected by the parking environment and the limit number policy.Strengthening these aspects will help to indirectly restrain their purchase intention;(3)The personal and family income levels of the youth population and the number of family members are significantly positively correlated with the psychology of buying a car(attitude,intention,etc.),while the age,family annual income and the characteristics of the online Carhailing use have significant adjustments on the influence of car purchase intention factors,which helps us to provide targeted transportation services or demand management measures based on the group's life cycle,income level and other aspects.
Keywords/Search Tags:Car-hailing, young people, car purchase intention, Theory of Planned Behavior, Multiple-Group analysis
PDF Full Text Request
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