Floris Goerlandt

ORCID: 0000-0002-9772-419X
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About
Contact & Profiles
Research Areas
  • Maritime Navigation and Safety
  • Risk and Safety Analysis
  • Structural Integrity and Reliability Analysis
  • Occupational Health and Safety Research
  • Oil Spill Detection and Mitigation
  • Ship Hydrodynamics and Maneuverability
  • Arctic and Antarctic ice dynamics
  • Arctic and Russian Policy Studies
  • Risk Perception and Management
  • Maritime Ports and Logistics
  • Maritime Transport Emissions and Efficiency
  • Facility Location and Emergency Management
  • Infrastructure Resilience and Vulnerability Analysis
  • Marine and Coastal Research
  • Chemical Safety and Risk Management
  • Maritime Security and History
  • Human-Automation Interaction and Safety
  • Disaster Management and Resilience
  • Marine and Offshore Engineering Studies
  • Icing and De-icing Technologies
  • Smart Materials for Construction
  • Supply Chain Resilience and Risk Management
  • Vehicle Routing Optimization Methods
  • Evacuation and Crowd Dynamics
  • Information and Cyber Security

Dalhousie University
2018-2025

Aalto University
2011-2020

Istanbul Technical University
2019

Wismar University of Applied Sciences
2019

World Maritime University
2019

Baltic Marine Environment Protection Commission
2019

Maritime Research Institute Netherlands
2019

KU Leuven
2015-2017

Marine Technology Unit
2017

Kotka Maritime Research Centre
2015-2016

Many methods and applications for maritime transportation risk analysis have been presented in the literature. In parallel, there is a recent focus on foundational issues analysis, with calls intensified research fundamental concepts principles underlying scientific field. This paper presents review of definitions, perspectives approaches to found application area, focusing addressing accidental shipping sea area. For this purpose, classification an overview elements science are applied....

10.1016/j.ress.2015.01.025 article EN cc-by-nc-nd Reliability Engineering & System Safety 2015-02-07

10.1016/j.ress.2010.09.003 article EN Reliability Engineering & System Safety 2010-09-23

Maritime accidents involving ships carrying passengers may pose a high risk with respect to human casualties. For effective mitigation, an insight into the process of escalation is needed. This requires proactive approach when it comes modelling for maritime transportation systems. Most existing models are based on historical data accidents, and thus they can be considered reactive instead proactive. paper introduces systematic, transferable framework estimating systems, meeting requirements...

10.1016/j.ress.2013.11.014 article EN cc-by-nc-nd Reliability Engineering & System Safety 2013-12-16

This paper proposes a framework for risk analysis of maritime transportation systems, where is understood as tool argumentative decision support. Uncertainty given more prominent role than in the current state art application area, and various tools are presented analyzing uncertainty. A two-stage description applied. In first stage, Bayesian Network (BN) modeling applied probabilistic quantification. The model functions communication argumentation tool, serving an aid to thinking...

10.1016/j.ssci.2015.02.009 article EN cc-by-nc-nd Safety Science 2015-03-12

Winter navigation is a complex but common operation in the Northern Baltic Sea areas. In Finnish waters, safety of wintertime maritime transportation system managed through Finnish–Swedish winter system. This results different operational modes ship navigation, with vessels either navigating independently or under icebreaker assistance. A recent risk analysis indicates that during assistance, convoys operations are among most hazardous, convoy collisions important events. While accident...

10.1016/j.ssci.2016.01.004 article EN cc-by-nc-nd Safety Science 2016-01-29

The safe navigation of ships is high societal concern. A promising approach for analyzing waterway risks using non-accident critical events as surrogate indicators collision accidents. These are typically detected in data from the Automatic Identification System (AIS). Recognizing significant interest this approach, article provides a review and analysis methods based on detection AIS data, which aim to provide insight into maritime risk. Considering also recent calls increased focus...

10.1016/j.ress.2020.106933 article EN cc-by Reliability Engineering & System Safety 2020-03-19

Maritime transport faces new safety-related challenges resulting from constantly increasing traffic density, along with dimensions of ships. Consequently, the number concepts related to Decision Support Systems (DSSs) supporting safe shipborne operations in presence reduced ship manning is rapidly growing, both academia and industry. However, there a lack systematic description state-of-the-art this field. Moreover, no comprehensive overview level technology readiness proposed concepts....

10.1016/j.ssci.2020.104717 article EN cc-by-nc-nd Safety Science 2020-05-01

Navigational accidents in wintertime conditions occur relatively frequently, yet there is little systematic knowledge available about the circumstances under which these occur. This paper presents an analysis of navigational shipping Northern Baltic Sea area occurred period 2007–2013. The based on integration various data sources, aiming to reconstruct accident best sources. Apart from basic information original databases, Automatic Identification System used obtain insight operation type...

10.1016/j.ssci.2016.09.011 article EN cc-by-nc-nd Safety Science 2016-10-05

For safe and efficient exploitation of ice-covered waters, knowledge about ship performance in ice is crucial. The literature describes numerical semi-empirical models that characterize speed ice. These however often fail to account for the joint effect conditions on ship's speed. Moreover, they omit compression. latter, when combined with presence ridges, can significantly limit capabilities an ice-strengthened ship, potentially bring her a halt, even if actual are within design range given...

10.1016/j.coldregions.2014.12.009 article EN cc-by-nc-nd Cold Regions Science and Technology 2014-12-26

Autonomous vessels have become a topic of high interest for the maritime transport industry. Recent progress in development technologies enabling autonomous systems has fostered idea that will soon be reality. However, before first vessel can released into her actual context operation, it is necessary to ensure safe. This major challenge as experience ships very limited. study highlights need elaborating systemic and systematic hazard analysis since earliest design phase an vessel. In...

10.1016/j.ress.2019.106584 article EN cc-by Reliability Engineering & System Safety 2019-07-15

The wintertime maritime traffic operations in the Gulf of Finland are managed through Finnish-Swedish Winter Navigation System. This establishes requirements and limitations for vessels navigating when ice covers this area. During winter navigation Finland, largest risk stems from accidental ship collisions which may also trigger oil spills. In article, a model managing is presented. analyses probability spills derived involving tanker other vessel types. structure based on steps provided...

10.1016/j.marpolbul.2016.03.071 article EN cc-by-nc-nd Marine Pollution Bulletin 2016-05-18

In the maritime domain, risk is evaluated within framework of Formal Safety Assessment (FSA), introduced by International Maritime Organization in 2002. Although FSA has become an internationally recognized and recommended method, definition, which adopted there, to describe risk, seems be too narrow reflect actual content FSA. Therefore this article discusses methodological requirements for perspective, appropriate management domain with special attention transportation systems. A...

10.1016/j.ress.2014.03.009 article EN cc-by-nc-sa Reliability Engineering & System Safety 2014-04-05
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