Available online at www.CivileJournal.org Civil Engineering Journal (E-ISSN: 2476-3055; ISSN: 2676-6957) Vol. 8, No. 10, October, 2022 2084 Evaluation of Factors Influencing Maritime Dangerous Cargo Transport Accidents-Induced Crew Fatalities and Serious Injuries Özge Eski 1* , Leyla Tavacioglu 1 1 Faculty of Maritime, Istanbul Technical University, Istanbul, Turkey. Received 10 July 2022; Revised 12 September 2022; Accepted 19 September 2022; Published 01 October 2022 Abstract Maritime dangerous cargo transport accidents can lead to crew fatalities and serious injuries. This paper focuses on these accidents to evaluate the factors involved in these losses. To that end, the relevant reports of 2000–2020 maritime dangerous cargo transport accidents recorded in the Marine Casualties and Incidents (MCI) module of the International Maritime Organization’s Integrated Shipping Information System (IMO-GISIS) database were analyzed. Six initial events in six basic ship operations were determined. This paper combined the entropy weight and Grey relational analysis methods to analyze the involved factors and evaluate the extent of influences of each initial event in various ship operations. The entropy weight (EW) method was applied to determine the weights of basic ship operations. The grey relational analysis method was applied to calculate the correlational degrees of the initial events. Most crew fatalities and severe injuries occur during bunkering, berthing, and mooring operations. Occupational accidents and fires/explosions are the most influential factors; more specifically, occupational accidents during sailing, cargo loading/unloading, anchoring, berthing, and mooring operations and fires/explosions during bunkering operations are most likely to lead to crew fatalities and serious injuries. The results of this paper can aid stakeholders in improving the required strategies to ensure the safety of seafarers during maritime dangerous cargo transport. Keywords: Maritime Accident; Maritime Transport; Dangerous Goods; Entropy Weight; Grey Relation. 1. Introduction Maritime transport enables the economical and safe transport of cargo over long distances and is the preferred method worldwide to carry nearly 2000 dangerous cargoes [1]. Dangerous cargoes are substances with physical and chemical properties that may be hazardous to human health and the marine environment [2]. Accidents may occur during maritime dangerous cargo transport. Previous accidents have had substantial consequences not limited to marine environment pollution and financial losses but also fatalities and serious injuries [3-5]. Moreover, with releases, leakage, fire, and explosions, maritime dangerous cargo transport accidents can be even more devastating [6, 7]. From the starting point to the final destination, maritime dangerous cargo transport needs great care [8]. Identifying contributing factors plays a huge role in preventing and reducing maritime dangerous cargo transport accidents. The human factor is behind 90% of maritime dangerous cargo transport accidents [9]. Some scholars have focused on the human factor in dangerous maritime cargo transport. Khan et al. [8] used Bayesian networks to investigate the human factors in port-related dangerous cargo accidents. They revealed that errors and violations were the most dominant accident causation factors in these accidents. Khan et al. [10] then developed the Human Factors Analysis and * Corresponding author: eski16@itu.edu.tr http://dx.doi.org/10.28991/CEJ-2022-08-10-05 © 2022 by the authors. Licensee C.E.J, Tehran, Iran. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).