An examination of the factors that influence drivers’ willingness to use the parking guidance information

Abstract

Parking Guidance and Information (PGI) System becomes highly favorable for reducing circulating traffic and making efficient use of existing parking facilities. This paper is to examine the factors influence drivers' willingness to use PGI. Factor analysis and the Structure Equation Model (SEM) were used to identify the latent attitudinal factors and the sensitivity of the factors was judged by Bayesian network. The heterogeneity of the factors was explored based on driver's gender, age, driving years, education and travel frequency. The results show that drivers' willingness to use PGI is significantly correlated to five attitudinal factors: perception of existing PGIs, difficulty in parking, confidence in the accuracy of the information, easy acquisition of information and information attributes. Male drivers, younger drivers, novice drivers and drivers who travel less frequently have lower level of willingness to use PGI.

Computational Solutions Based on Bayesian Networks to Hierarchize and to Predict Factors Influencing Gender Fairness in the Transport System: Four Use Cases

“…They found that when there is no music while driving, women drive at a more appropriate speed than men, while in the presence of music women have a greater chance of committing either a minor or a major speed violation, with music acting as a factor of distraction. Ji et al [24] used different tools including factor analysis, structural equation modeling (SEM), and BNs to evaluate factors influencing the willingness to use parking guidance and information (PGI) systems and the different perceptions of men and women. They found that female drivers are more likely to use PGI to get help when they realized that it is hard to find a parking space, with a level of willingness of 63.6% compared with 10.9% for male drivers.…”