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

Research output: Contribution to conferencePaper

Abstract

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.

Conference

ConferenceTransport Research Arena (TRA) 2018
Abbreviated titleTRA2018
CountryAustria
CityVienna
Period16/04/1819/04/18

Keywords

  • maritime accidents
  • maritime safety
  • collision
  • fuzzy cognitive maps
  • shipping

Cite this

@conference{a58966e6f3174937952e0b23b23a5fe5,
title = "Application of fuzzy cognitive maps to investigate the contributors of maritime collision accidents",
abstract = "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.",
keywords = "maritime accidents, maritime safety, collision, fuzzy cognitive maps, shipping",
author = "{Navas de Maya}, Beatriz and Kurt, {Rafet Emek} and Osman Turan",
year = "2018",
month = "4",
day = "16",
language = "English",
note = "Transport Research Arena (TRA) 2018, TRA2018 ; Conference date: 16-04-2018 Through 19-04-2018",

}

Navas de Maya, B, Kurt, RE & Turan, O 2018, 'Application of fuzzy cognitive maps to investigate the contributors of maritime collision accidents' Paper presented at Transport Research Arena (TRA) 2018, Vienna, Austria, 16/04/18 - 19/04/18, .

Application of fuzzy cognitive maps to investigate the contributors of maritime collision accidents. / Navas de Maya, Beatriz; Kurt, Rafet Emek; Turan, Osman.

2018. Paper presented at Transport Research Arena (TRA) 2018, Vienna, Austria.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Application of fuzzy cognitive maps to investigate the contributors of maritime collision accidents

AU - Navas de Maya,Beatriz

AU - Kurt,Rafet Emek

AU - Turan,Osman

PY - 2018/4/16

Y1 - 2018/4/16

N2 - 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.

AB - 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.

KW - maritime accidents

KW - maritime safety

KW - collision

KW - fuzzy cognitive maps

KW - shipping

UR - https://www.traconference.eu/

M3 - Paper

ER -