Pedestrian and Transit Crash-Severity Modeling

Pedestrian and Transit Crash-Severity Modeling

Statistical research identifying the roadway, road-user, environmental, and operational factors associated with pedestrian and urban-transit crash severity.

University of Tehran · RMIT University collaboration · Research program

Project story

From question to working system.

This research program investigates why some crashes result in more severe outcomes, with one study focused on pedestrian injury severity in Victoria, Australia and another on crashes involving urban transit buses.

Ordered and unordered logistic regression, binomial and multinomial logit models, classification methods, and careful data preparation were used to compare risk factors and translate statistical results into practical safety insights.

2 studies

Pedestrian and urban-transit crash-severity investigations

Multiple models

Ordered, unordered, binomial, and multinomial approaches

Human factors

Road-user and contextual influences interpreted together

Published

Peer-reviewed findings available through linked articles

My contributions

Roles and technical work.

  • Crash-data preparation and management
  • Logistic-regression modeling
  • Risk-factor interpretation
  • Literature synthesis
  • Journal and thesis development

Project gallery

Systems, fieldwork, and results.