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Dangerous Twin – Exploring Emerging Technologies for Safe and Sustainable Transport of Dangerous Goods

Research project
Active research
Project period
2025 - 2027
Project owner
Department of Applied Information Technology

Short description

This project explores how digital twins can enhance information management and safety in the transport of dangerous goods. By analysing both major accidents and minor incidents, the project aims to develop a conceptual framework to optimise learning and risk reduction in the transport sector. Conducted in collaboration between law, informatics, and communication studies, the project seeks to develop innovative solutions for safety and sustainability in the transport industry.

Background

The transportation sector is undergoing a digital transformation aimed at increasing efficiency and reducing environmental impact. The transport of dangerous goods entails significant risks to both society and the environment. Current systems for incident reporting are insufficient, resulting in missed opportunities to learn from smaller incidents. This project builds on research from the "Learning from Incidents" initiative, which identified shortcomings in existing reporting and analysis practices.

Purpose

The project aims to develop a conceptual model for a digital twin that optimises information management in the transportation of dangerous goods. The model will enable simple simulations and incident analysis, ultimately contributing to improved safety protocols and risk reduction.

Research Questions

  • How can the information environment be optimised to enhance learning from incidents involving the transportation of dangerous goods?
  • How can digital twins be used to improve knowledge sharing and safety processes?

Methods

The project employs an interdisciplinary approach with qualitative methods such as interviews, focus groups, and observations. Through collaboration with stakeholders in the transport sector and regulatory authorities, the project explores ways to improve systems for reporting, analysis, and knowledge sharing related to incidents and accidents.

Participants

Ann-Sophie Sallander, associate professor of public law, the University of Gothenburg
Urban Nuldén, associate professor of informatics, the University of Gothenburg
Ylva Hård af Segerstad, professor of communication, the University of Gothenburg