Hazard Perception and Prediction Data for 187 Male BRT Drivers in Tehran

Amir Hossein Zarei's dataset contains results from hazard perception and prediction tests administered to 187 urban Bus Rapid Transit drivers in Tehran, Iran. The data includes demographic and cognitive questionnaire responses analyzed using structural equation modeling. The dataset was last updated on 2026-04 30 and is shared under a CC-BY-4.0 license.

Use Cases

• Modeling the influence of cognitive components like social cognition and planning on hazard perception scores.
• Predicting driver hazard prediction ability based on variables such as sustained attention and cognitive flexibility.
• Informing the design of training and evaluation programs for urban BRT drivers.
• Conducting comparative studies on driver safety in dedicated transit systems.

Strengths

• Dataset size is 473.4 KB, indicating a focused and manageable scope.
• Based on a study of 187 participants, providing a substantive sample.
• Includes results from both hazard perception and prediction tests, covering two key driver attributes.
• Analysis identifies specific influential cognitive factors for each attribute.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific geographic and demographic context (male BRT drivers in Tehran), which may limit generalizability.

Provenance

Source

Amir Hossein Zarei via figshare

Collection Method

Data gathered from hazard perception/prediction tests and cognitive/demographic questionnaires administered to 187 urban BRT drivers.

Time Range

null

Freshness

Last updated 2026-04-30 14:00:37; freshness should be verified.

Geography

Tehran, Iran