A bibliometric analysis and systematic review of shipboard Decision Support Systems for accident prevention. (August 2020)

• Record Type: Journal Article
• Authors: Gil, Mateusz; Wróbel, Krzysztof; Montewka, Jakub; Goerlandt, Floris
• Is Part Of: Safety science. Volume 128(2020)
• Publication Date: 2020-08
• Subjects: AHP Analytic Hierarchy Process -- AIS Automatic Identification System -- ARPA Automatic Radar Plotting Aid -- BSR Baltic Sea Region -- COLREG International Regulations for Preventing Collisions at Sea -- DSS Decision Support System -- FSA Formal Safety Assessment -- GDP Gross Domestic Product -- H2020 Horizon 2020 -- HDI Human Development Index -- HELCOM The Baltic Marine Environment Protection Commission -- IMO International Maritime Organization -- JoN Journal of Navigation -- MASS Maritime Autonomous Surface Ships -- MCP multiple-country publication -- MTS Maritime Transportation System -- NUC Not Under Command -- OE Ocean Engineering -- OOW Officer of the Watch -- RQ Research question -- SOLAS International Convention for the Safety of Life at Sea -- STS Ship-to-Ship -- TRL Technology Readiness Level -- VTS Vessel Traffic Service -- WoS Web of Science; Decision Support System (DSS) -- Maritime risk and safety -- Maritime Transportation System (MTS) -- Bibliometrics -- Systematic literature review; Industrial accidents -- Periodicals; Accident Prevention -- Periodicals; Safety -- Periodicals; Travail -- Accidents -- Périodiques; 363.11
• DOI: 10.1016/j.ssci.2020.104717
• Languages: English
• ISSNs: 0925-7535

Abstract

Highlights: More than 100 papers are reviewed concerning onboard Decision Support Systems. Collaboration networks of authors and countries are elaborated. Most of Decision Support Systems remain on relatively low Technology Readiness Level. The cooperation between academia and industry in the field of Decision Support Systems is unsatisfactory. Abstract: Maritime transport faces new safety-related challenges resulting from constantly increasing traffic density, along with increasing dimensions of ships. Consequently, the number of new concepts related to Decision Support Systems (DSSs) supporting safe shipborne operations in the presence of reduced ship manning is rapidly growing, both in academia and industry. However, there is a lack of a systematic description of the state-of-the-art in this field. Moreover, there is no comprehensive overview of the level of technology readiness of proposed concepts. Therefore, this paper presents an analysis aiming at (1) increasing the understanding of the structure and contents of the academic field concerned with this topic; (2) determining and mapping scientific networks in this domain; (3) analyzing and visualizing Technology Readiness Level (TRL) of analyzed systems. Bibliometric methods are utilized to depict the domain of onboard DSSs for operations focused on safety ensurance and accident prevention. The scientific literature is reviewed in a systematic way using a comparative analysis of existing tools. The results indicate that there are relatively many developments in selected DSS categories, such as collision avoidance and ship routing. However, even in these categories some issues and gaps still remain, so further improvements are needed. The analysis indicates a relatively low level of technology readiness of tools and concepts presented in academic literature. This signifies a need to move beyond the conceptual stages toward demonstration and validation in realistic, operating environments.