Research On The Factors Of Influcing The Travel Mode Choice Of Residents In Chengdu

In recent years,with the rapid development of the economic in Chengdu,the expanding city size,as well as the unceasingly increasing residents demand,traffic supply shows a significant lag.From the perspective of the long-term development of Chengdu, it is very difficult to adapt to the modern urban traffic demand management because of the lack of the carrying capacity of the urban resources and the environment.Now, therefore, in consideration of sustainable development of Chengdu, it is necessary to study the influencing factors of residents travel mode choice, which is significant for making scientific and effective implementation of travel demand management strategies, guiding residents from the source to reasonable travel, and optimizing the travel structure.Firstly the paper reviews the related literature at home and abroad, describes the trip mode characteristics of Chengdu from the public means of transportation, individual motorized traffic and slow traffic,carries on the SWOT analysis of the new taxi phone software and describe the structure of residents in Chengdu showing a new trend.In this paper, based on the decision-making process of the choice of travel mode of residents, relying on the 2014 sustainable mobile survey project in Chengdu,the thesis adjusts the variables of the relevant content of the project with public transport, private cars, taxis, electric bicycles and walking as an example of the analysis.And introducing the concept of perceived value, combined with structural equation model (SEM), it establishes the model of residents choosing public transport in Chengdu,the model of residents making private car choice in Chengdu,the model of residents choosing to travel by taxi in Chengdu,the model the model of residents traveling by electric bicycles in Chengdu and the model of walking in Chengdu. According to the project data, the paper uses the SPSS software on the descriptive statistical analysis, reliability analysis and validity analysis, then proceeds the structural equation analysis by AMOS,tests and modifies the path relationship between the study variables, fits the model adaptation index and completes the significance test,which shows the actual data fitting good and explains the the ultimate model.Finally, based on the model test results and the path coefficient between study variables, the thesis analyses the results and proposes relevant recommendations contrapuntally.