Picture of model of urban architecture

Open Access research that is exploring the innovative potential of sustainable design solutions in architecture and urban planning...

Strathprints makes available scholarly Open Access content by researchers in the Department of Architecture based within the Faculty of Engineering.

Research activity at Architecture explores a wide variety of significant research areas within architecture and the built environment. Among these is the better exploitation of innovative construction technologies and ICT to optimise 'total building performance', as well as reduce waste and environmental impact. Sustainable architectural and urban design is an important component of this. To this end, the Cluster for Research in Design and Sustainability (CRiDS) focuses its research energies towards developing resilient responses to the social, environmental and economic challenges associated with urbanism and cities, in both the developed and developing world.

Explore all the Open Access research of the Department of Architecture. Or explore all of Strathclyde's Open Access research...

Application of fuzzy cognitive maps to investigate the contributors of maritime collision accidents

Navas de Maya, Beatriz and Kurt, Rafet Emek and Turan, Osman (2018) Application of fuzzy cognitive maps to investigate the contributors of maritime collision accidents. In: Transport Research Arena (TRA) 2018, 2018-04-16 - 2018-04-19, Reed Messe Wien.

Text (Navas-de-Maya-etal-TRA-2018-fuzzy-cognitive-maps-to-investigate-the-contributors-of-maritime-collision-accidents)
Accepted Author Manuscript

Download (463kB) | Preview


Maritime transport has been striving to reduce ship accidents since its origins, which results in loss of lives or properties and damage for the environment. Hence, a continuous effort to enhance safety is a crucial requirement for the maritime sector, for which several approaches have been tried for the past years. This paper presents the first results of a study which aim is to assess the factors affecting collision accidents in order to enhance safety and resilience. This aim is achieved by using Fuzzy Cognitive Maps (FCMs) method, which consider and evaluates importance of these factor by calculating and assigning individual weights to them. Moreover, FCM appears to be a suitable approach since it can take into account both, fuzzy data and past accidents experiences. Hence, in this paper with the help of FCM, past accidents from the Marine Accident Investigation Branch (MAIB) database regarding collision are analysed to identify the contributors of collision accidents and their FCM weightings.