Managing knowledge sharing of extreme weather induced impacts on land transport infrastructure: case study of the Swedish Transport Administration

Extreme weather events and effects of climate change are threats to the transport sector's functionality and safety. Risk management in this context implies a necessity to focus on the connection between near-term experiences and coping strategies on one hand, and long-term adaptation analyses on the other. How learning from past events and subsequent knowledge sharing can be adopted is a question that needs to be explored, discussed and tested. A systematic approach to lessons learned calls for measures of investigation, reporting, planning, implementation and evaluation. A qualitative case study approach was used in this thesis. In the first paper the practices of accident investigation in operation and maintenance were inventoried within the Swedish Transport Administration (STA). Three accident investigation methods were applied and tested on a cloudburst event, causing flooding in a railway tunnel in Sweden. In the second paper, semi-structured interviews, documents, and archival records were used as means for penetrating deeper into the attitudes and understanding of lessons learned concerning extreme weather events within a procured public-private partnership. The results of the two studies showed weak signals of feedback on lessons learned. Partly, these weak signals could be traced back to weak steering signals. Various obstacles impeded learning curves from lessons learned. The obstacles were of both hard and soft values, e.g. resources in time and equipment, systematic investigation methods, incentives for lessons learned, education and knowledge, values, norms and attitudes towards how and why identified problems should be solved. Successful knowledge sharing requires that close attention is paid to such obstacles and that an adaptive approach is adopted.

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  • Accession Number: 01631339
  • Record Type: Publication
  • Source Agency: Swedish National Road and Transport Research Institute (VTI)
  • ISBN: 9789170636967
  • Files: ITRD, VTI
  • Created Date: Mar 30 2017 12:19PM