Research On The Influencing Factors Of Low Carbon Travel Choice Of Residents In The Main Urban Area Of Chengdu Under The "Dual Carbon Target"

With the continuous advancement of urbanization in China,there have been significant changes in the way and demand of urban residents’ transportation,with an increasing number of people relying on private cars for travel.The resulting urban air pollution and traffic congestion have become urgent problems that need to be addressed in more and more cities.In this context,reducing transportation energy consumption and air pollution has become a strategic goal for China to achieve carbon peak and carbon neutrality.As urban residents are the key actors in urban transportation carbon emissions,their choice of transportation modes is closely related to the low-carbon development of cities.In recent years,Chengdu has actively practiced the new development concept,actively carried out carbon reduction actions,and made the transportation sector a key area for carbon reduction to achieve carbon peak and carbon neutrality.This paper studies the influencing factors of low-carbon transportation mode choice among residents in Chengdu’s main urban area and attempts to dig deep into the key influencing factors of low-carbon transportation mode choice at the micro-individual level,analyze the influence paths and strengths among various factors,and provide a scientific theoretical basis for the government to formulate targeted guiding policies.First,based on the literature review,this paper defines the "dual carbon" targets and the concept of low-carbon travel,and summarizes the research results related to the theory of planned behavior(TPB).Combining the research needs of this paper,the TPB is extended by introducing two new variables: "low-carbon awareness" and "travel habits",forming the extended theory of planned behavior(Ex-TPB).Based on this,the structural equation model(SEM)of the influencing factors of residents’ choice of low-carbon transportation mode is constructed,and this paper puts forward research hypotheses.Secondly,based on the mature scales designed by previous scholars,this paper develops and compiles a survey questionnaire,conducts pre-survey research through the questionnaire star network platform,and conducts a series of correlation analyses on the pre-survey data.According to the analysis results,the scale is further improved and revised,and the formal questionnaire is finally formed.The formal data collection is conducted through a combination of online and offline methods.Thirdly,using SPSS.25 software,descriptive statistical analysis is performed on the sample data.Then,using Mplus8.3 software,the correlation and influence paths among travel attitude,subjective norm,perceived behavioral control,low-carbon awareness,travel habits,low-carbon travel intention,and low-carbon travel behavior are analyzed.The mediating effect of travel attitude between low-carbon awareness and low-carbon travel intention,the mediating effect of low-carbon travel intention between perceived behavioral control and low-carbon travel behavior,and the mediating effect of low-carbon travel intention between travel habits and low-carbon travel behavior are further analyzed.Through data analysis and model verification,the ranking of the influencing factors on low-carbon travel intention from strong to weak is travel habits(0.171),subjective norm(0.150),low-carbon awareness(0.137),perceived behavioral control(0.130),and travel attitude(0.113).The ranking of the influencing factors on low-carbon travel behavior from strong to weak is travel habits(0.256),low-carbon travel intention(0.178),and perceived behavioral control(0.163).Finally,based on the empirical analysis results and the current low-carbon travel situation in Chengdu,targeted policy suggestions are proposed to guide residents to choose low-carbon travel.