Multiple-factor perceived features of traffic quality influencing trip decision

HU Pan; YANG Xiao-guang

Volume 17 Issue 2

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HU Pan, YANG Xiao-guang. Multiple-factor perceived features of traffic quality influencing trip decision[J]. Journal of Traffic and Transportation Engineering, 2017, 17(2): 117-125.

Citation:

HU Pan, YANG Xiao-guang. Multiple-factor perceived features of traffic quality influencing trip decision[J]. Journal of Traffic and Transportation Engineering, 2017, 17(2): 117-125.

HU Pan, YANG Xiao-guang. Multiple-factor perceived features of traffic quality influencing trip decision[J]. Journal of Traffic and Transportation Engineering, 2017, 17(2): 117-125.

Citation:

HU Pan, YANG Xiao-guang. Multiple-factor perceived features of traffic quality influencing trip decision[J]. Journal of Traffic and Transportation Engineering, 2017, 17(2): 117-125.

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Multiple-factor perceived features of traffic quality influencing trip decision

Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China

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Author Bio:
HU Pan(1983-), male, doctoral student, +86-21-69589878, hupan213@163.com

YANG Xiao-guang(1959-), male, professor, PhD, +86-21-69589878, yangxg@tongji.edu.cn
Received Date: 2016-11-11
Publish Date: 2017-04-25

Abstract

Abstract

The traffic quality factors influencing trip decision and their importance were analyzed, ten primary factors were selected, and a basic system of traffic quality factors was constructed according to the need hierarchy model.A model analyzing the structural system of traffic quality factors was established by using the exploratory factor analysis method.The influencing relationships among personal features, cost constrains, trip decision and traffic quality factors were simulated and quantified according to the structural equation model.Using the travel intention survey data in an experimental analysis, a second-order hierarchical structure of traffic quality factors and a path coefficient diagram of structural equation model were established.The comprehensive route coefficient was analyzed to show the impact degrees of traffic quality factors on trip decision, and the numerical features of the importances of traffic quality factors indifferent urban levels were studied.Analysis result shows that the first two factors in the structural system of traffic quality factors explain 84.9% of the total variance, and the factor load coefficients of the two factors all exceed 0.6, which indicates that the structure system of traffic quality factors is rational.The Cronbach'sαand the validity check coefficient of test data are 0.86 and 0.84, respectively, which shows that the test data have good reliability and validity.The total average value of composite validities in structural equation model is 86.9%, and the composite validities of path coefficients all exceed 80%, which shows that the model can adapt to random sample well.According to the importance degrees, the first four factors of traffic quality are successively reliability, velocity, economy and comfort, and the comprehensive path coefficients are 0.78, 0.73, 0.67, 0.60, respectively.Furthermore, the importance degrees of traffic quality factors are different in different urban levels.The most important factor in superlarge city is reliability with a path coefficient 1.44, while the most important factor in small city is comfort with a path coefficient 1.72.Therefore, it will achieve higher efficiency and effectiveness for improving traffic quality when making improving policies according to urban citizens' perceived features of traffic quality factors.
- traffic management,
- traffic quality factor,
- factor analysis,
- structural equation model,
- trip decision,
- integrated path coefficient

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References

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