Analysis Of Influencing Factors On Non-Motorized Vehicle Travel Behavior In Urban Areas Based On Structural Equation Model

Non-motorized vehicle travel can alleviate traffic congestion and air pollution,and with its advantages of low travel costs,strong traffic capacity,and environmental conservation,it has gradually become an important component of the urban transportation system.As a form of transportation,non-motorized vehicle travel choices are influenced by many factors.Under the influence of various subjective and objective environmental factors,the decision-making of non-motorized vehicle travel behavior will change.Therefore,the research on the influencing factors of non-motorized vehicle travel choice behavior is of great significance.This article focuses on three types of non-motorized vehicles: private electric bicycles,private bicycles,and shared bicycles,and conducts a detailed study on the characteristics of nonmotorized vehicle travel choice behavior from the following aspects.(1)Conduct a questionnaire survey on permanent residents in the central urban area of Zhengzhou to obtain information on their individual attributes,residential location,and nonmotorized travel behavior.To test the quality of questionnaire data through reliability testing and exploratory factor analysis.The basic road network data and POI data of Zhengzhou were obtained by using tools such as Bige MAP and UAV,and the data were processed spatially and analyzed by kernel density.(2)Analyze the impact of individual attribute factors on non-motorized vehicle travel choice behavior.Based on the principle of multiple linear regression and the theory of planned behavior,the MRLR-TPB model was constructed to analyze the impact of age,education,income,and gender on non-motor vehicle travel intention.The results show that the influence coefficient of gender on bicycle sharing travel intention is 0.056,and men’s willingness to choose bicycle sharing is higher than women’s.There is a negative correlation between income level and educational background and the willingness of private electric bicycles to travel.(3)Based on the theory of planned behavior and technology acceptance model,two variables,environmental awareness and emergency,were added to construct the TPB-TAM model to analyze the seven variables of attitude,subjective norm,perceived behavioral control,perceived usefulness,perceived ease of use,environmental awareness and contingency to explore the influence of psychological factors on non-motorized travel choice behavior.The results showed that the feasibility of expanding the variables was verified through the model estimation,and all seven variables had a significant impact on non-motorized vehicle willingness to travel.However,there were differences in the model results for private electric bicycles,private bicycles,and shared bicycles.Among them,attitude has the most significant impact on the behavioral willingness of private electric bicycles,with a coefficient of the effect of 0.46.Subjective norms only had a significant positive impact on behavioral intention in the models of private bicycles and shared bicycles,with standardized path coefficients of 0.98 and0.75,respectively.Private electric bicycle users are not sensitive to environmental awareness,but in the models of private bicycles and shared bicycles,environmental awareness has a significant positive impact on behavioral willingness,with coefficients of 0.44 and 0.21.Emergency variables have a significant positive impact on travel behavior,and the willingness of private electric bicycles to travel has been improved.(4)Analyze the impact of objective environmental factors on non-motorized vehicle travel choice behavior.Calculate the basic walking index of bus stops and medical facility points using the OD cost matrix method,calculate the distance from the community to nearby subway stations using neighborhood search tools,and calculate the community infrastructure evaluation index.Construct a CIE-SEM model to analyze the impact of this indicator on nonmotorized vehicle travel willingness.The results showed that the experiment confirmed the impact of community infrastructure evaluation variables on the willingness of non-motorized vehicle travel behavior,and objective environmental factors(density of bus stops,density of medical facility points,distance from the community to subway stations)had a significant positive impact on the travel behavior of shared bicycles.