Analyzing drivers' perceived service quality of variable message signs (VMS)

Area of Science:

• Traffic Management
• Human Factors in Transportation

Background:

• Variable Message Sign (VMS) technology offers potential for traffic congestion relief and efficiency improvement.
• Low driver compliance with VMS information can hinder traffic safety and congestion mitigation.
• Understanding driver attitudes towards VMS is crucial for optimizing system effectiveness.

Purpose of the Study:

• To investigate drivers' attitudes toward the service quality of Variable Message Sign (VMS) systems.
• To identify key factors influencing driver perceptions of VMS.
• To analyze how different driver categories perceive VMS effectiveness.

Main Methods:

• A survey of 9,600 drivers in Beijing, China, using a developed questionnaire.
• Analysis of collected data using a multiple indicators and multiple causes (MIMIC) model.
• Stratification of analysis by driver categories: private car, office car, and taxi drivers.

Main Results:

• Socio-demographic characteristics significantly influence latent variables related to VMS perception.
• Driving frequency, attitude towards VMS content, decision-making, and message effectiveness directly and indirectly impact perceived service quality.
• Attitude towards VMS formats indirectly affects perceived service quality through message effectiveness, with no indirect impact observed for taxi drivers.
• Driver decision-making directly influences perceived service quality for private and office car drivers, but not for taxi drivers.

Conclusions:

• Driver attitudes and specific factors like driving frequency and message effectiveness are critical for VMS success.
• Tailoring VMS strategies to different driver groups, particularly taxi drivers, may be necessary.
• Findings provide actionable insights for urban authorities to enhance VMS user acceptance and effectiveness.