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  1. Book ; Online: Governance of Arctic Shipping

    Chircop, Aldo / Goerlandt, Floris / Aporta, Claudio / Pelot, Ronald

    Rethinking Risk, Human Impacts and Regulation

    (Springer Polar Sciences)

    2020  

    Author's details edited by Aldo Chircop, Floris Goerlandt, Claudio Aporta, Ronald Pelot
    Series title Springer Polar Sciences
    Keywords Polar regions ; Climate change ; Environmental management ; Aquatic ecology
    Subject code 919.8
    Language English
    Size 1 Online-Ressource (XIV, 319 p. 40 illus., 31 illus. in color)
    Edition 1st ed. 2020
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online
    HBZ-ID HT020568044
    ISBN 978-3-030-44975-9 ; 9783030449742 ; 9783030449766 ; 9783030449773 ; 3-030-44975-0 ; 3030449742 ; 3030449769 ; 3030449777
    DOI 10.1007/978-3-030-44975-9
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Governance of Arctic Shipping

    Chircop, Aldo / Goerlandt, Floris / Aporta, Claudio / Pelot, Ronald

    2020  

    Abstract: This open access book is a result of the Dalhousie-led research project Safe Navigation and Environment Protection, supported by a grant from the Ocean Frontier Institute's the Canada First Research Excellent Fund (CFREF). The book focuses on Arctic ... ...

    Abstract This open access book is a result of the Dalhousie-led research project Safe Navigation and Environment Protection, supported by a grant from the Ocean Frontier Institute's the Canada First Research Excellent Fund (CFREF). The book focuses on Arctic shipping and investigates how ocean change and anthropogenic impacts affect our understanding of risk, policy, management and regulation for safe navigation, environment protection, conflict management between ocean uses, and protection of Indigenous peoples' interests. A rapidly changing Arctic as a result of climate change and ice loss is rendering the North more accessible, providing new opportunities while producing impacts on the Arctic. The book explores ideas for enhanced governance of Arctic shipping through risk-based planning, marine spatial planning and scaling up shipping standards for safety, environment protection and public health
    Keywords Geography (General) ; Environmental sciences ; Ecology
    Size 1 electronic resource (319 pages)
    Publisher Springer Nature
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT020676432
    ISBN 9783030449759 ; 3030449750
    DOI 10.1007/978-3-030-44975-9
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Bayesian inference modeling to rank response technologies in arctic marine oil spills.

    Das, Tanmoy / Goerlandt, Floris

    Marine pollution bulletin

    2022  Volume 185, Issue Pt A, Page(s) 114203

    Abstract: Marine oil spills have a detrimental effect on aquatic systems. Yet, it is challenging to select appropriate technologies in the Arctic because of limited logistics support, inclement weather conditions, and remoteness, and limited research has been ... ...

    Abstract Marine oil spills have a detrimental effect on aquatic systems. Yet, it is challenging to select appropriate technologies in the Arctic because of limited logistics support, inclement weather conditions, and remoteness, and limited research has been conducted in this direction. This article suggests a method to rank the oil response technologies, including mechanical recovery, chemical dispersant, and in-situ burning, for use in Arctic oil spill risk assessment and preparedness planning. The proposed Preference Learning based Bayesian Inference Modeling offers data-driven ranking of systems by learning a label function and considers factors such as ice covered sea areas, cold weather, and spill volume. A data generation system is developed to produce numerous oil spill scenarios, using a state-of-the-art engineering tool. Results demonstrate that the model, while simple, can efficiently and accurately select the best available technique, making it suitable primarily for marine pollution preparedness and response planning in strategic risk assessments.
    MeSH term(s) Petroleum Pollution ; Bayes Theorem ; Risk Assessment ; Arctic Regions
    Language English
    Publishing date 2022-10-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 2001296-2
    ISSN 1879-3363 ; 0025-326X
    ISSN (online) 1879-3363
    ISSN 0025-326X
    DOI 10.1016/j.marpolbul.2022.114203
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Forty Years of Risk Analysis: A Scientometric Overview.

    Goerlandt, Floris / Li, Jie

    Risk analysis : an official publication of the Society for Risk Analysis

    2021  Volume 42, Issue 10, Page(s) 2253–2274

    Abstract: Risk Analysis was first published in 1981, established with a vision to provide a platform for inquiry into fundamental risk-related concepts and theories, and to disseminate new knowledge about methods and approaches for identifying, analyzing, ... ...

    Abstract Risk Analysis was first published in 1981, established with a vision to provide a platform for inquiry into fundamental risk-related concepts and theories, and to disseminate new knowledge about methods and approaches for identifying, analyzing, evaluating, managing, and communicating risk. The journal has also contributed significantly to a scientific understanding of specific risks related to human health and safety, engineering, ecological, and social systems. Published on behalf of the Society for Risk Analysis, the journal has become a leading platform over its 40-year history. Complementing recent celebratory overviews and perspectives on the evolution, achievements, and future challenges for Risk Analysis, this article presents a scientometric overview of the journal between 1981 and 2020. The study presents high-level insights in the journal publication trends and structure and trends in the leading countries/regions, institutions, and authors, in relation to their respective collaboration networks. Furthermore, the structure and evolution of research focus issues is analyzed, and highly cited publications are identified. The findings are primarily intended to provide high-level insights, which may be useful for early career academics and risk practitioners to understand the structure and development of the research domain, and its main contributors and topics, and for experienced researchers to reflect on the achievements and future developments.
    MeSH term(s) Humans ; Bibliometrics ; Risk Assessment
    Language English
    Publishing date 2021-11-16
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 778660-8
    ISSN 1539-6924 ; 0272-4332
    ISSN (online) 1539-6924
    ISSN 0272-4332
    DOI 10.1111/risa.13853
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1900: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Benchmark instances for road network repair and restoration problems in the context of disaster response operations.

    Souza Almeida, Luana / Kodali, Revanth / Goerlandt, Floris

    Data in brief

    2022  Volume 45, Page(s) 108674

    Abstract: This article presents a database which contains a comprehensive and systematically varied set of network instances. These can be applied as benchmarks for multiple road repair and restoration problems in the context of natural disasters. The ... ...

    Abstract This article presents a database which contains a comprehensive and systematically varied set of network instances. These can be applied as benchmarks for multiple road repair and restoration problems in the context of natural disasters. The characteristics of the instances vary in terms of network size, intensity and type of disaster affecting the road network, the epicenter's location, and the number of sub-networks in which the initial network is divided after the disaster occurs. The instances were developed primarily for the Multi-vehicle Prize Collecting Arc Routing for Connectivity Problem (KPC-ARCP). These are however easily adaptable to other well-known connectivity, vehicle routing, and facility location problems in the Operations Research literature. The instances are available on a public repository, as is the Python code to generate the instances.
    Language English
    Publishing date 2022-10-14
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2022.108674
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Benchmark instances for road network repair and restoration problems in the context of disaster response operations

    Luana Souza Almeida / Revanth Kodali / Floris Goerlandt

    Data in Brief, Vol 45, Iss , Pp 108674- (2022)

    2022  

    Abstract: This article presents a database which contains a comprehensive and systematically varied set of network instances. These can be applied as benchmarks for multiple road repair and restoration problems in the context of natural disasters. The ... ...

    Abstract This article presents a database which contains a comprehensive and systematically varied set of network instances. These can be applied as benchmarks for multiple road repair and restoration problems in the context of natural disasters. The characteristics of the instances vary in terms of network size, intensity and type of disaster affecting the road network, the epicenter's location, and the number of sub-networks in which the initial network is divided after the disaster occurs. The instances were developed primarily for the Multi-vehicle Prize Collecting Arc Routing for Connectivity Problem (KPC-ARCP). These are however easily adaptable to other well-known connectivity, vehicle routing, and facility location problems in the Operations Research literature. The instances are available on a public repository, as is the Python code to generate the instances.
    Keywords Natural disaster ; Roads network ; Road clearing ; Prize collecting ; Arc routing ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390
    Subject code 000
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Autonomous ships are on the horizon: here's what we need to know.

    Negenborn, Rudy R / Goerlandt, Floris / Johansen, Tor A / Slaets, Peter / Valdez Banda, Osiris A / Vanelslander, Thierry / Ventikos, Nikolaos P

    Nature

    2023  Volume 615, Issue 7950, Page(s) 30–33

    Language English
    Publishing date 2023-02-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/d41586-023-00557-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 26: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MG 9: Show issues
    Zs.MO 244: Show issues

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  8. Article ; Online: Benchmark instances for road network repair and restoration problems in the context of disaster response operations

    Almeida, Luana Souza / Kodali, Revanth / Goerlandt, Floris

    Data in Brief. 2022 Dec., v. 45, p. 108674

    2022  , Page(s) 108674

    Abstract: This article presents a database which contains a comprehensive and systematically varied set of network instances. These can be applied as benchmarks for multiple road repair and restoration problems in the context of natural disasters. The ... ...

    Abstract This article presents a database which contains a comprehensive and systematically varied set of network instances. These can be applied as benchmarks for multiple road repair and restoration problems in the context of natural disasters. The characteristics of the instances vary in terms of network size, intensity and type of disaster affecting the road network, the epicenter's location, and the number of sub-networks in which the initial network is divided after the disaster occurs. The instances were developed primarily for the Multi-vehicle Prize Collecting Arc Routing for Connectivity Problem (KPC-ARCP). These are however easily adaptable to other well-known connectivity, vehicle routing, and facility location problems in the Operations Research literature. The instances are available on a public repository, as is the Python code to generate the instances.
    Keywords computer software ; databases ; roads ; Natural disaster ; Roads network ; Road clearing ; Prize collecting ; Arc routing
    Language English
    Dates of publication 2022-1010
    Size p. 108674
    Publishing place Elsevier Inc.
    Document type Article ; Online
    Note Pre-press version ; Use and reproduction
    ZDB-ID 2786545-9
    ISSN 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2022.108674
    Database NAL-Catalogue (AGRICOLA)

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  9. Article ; Online: The Landscape of Risk Perception Research

    Floris Goerlandt / Jie Li / Genserik Reniers

    Sustainability, Vol 13, Iss 13188, p

    A Scientometric Analysis

    2021  Volume 13188

    Abstract: Risk perception is important in organizational and societal governance contexts. This article presents a high-level analysis of risk perception research using Web of Science core collection databases, scientometrics methods and visualization tools. The ... ...

    Abstract Risk perception is important in organizational and societal governance contexts. This article presents a high-level analysis of risk perception research using Web of Science core collection databases, scientometrics methods and visualization tools. The focus is on trends in outputs, geographical and temporal trends, and patterns in the associated scientific categories. Thematic clusters and temporal dynamics of focus topics are identified using keyword analysis. A co-citation analysis is performed to identify the evolution of research fronts and key documents. The results indicate that research output is growing fast, with most contributions originating from western countries. The domain is highly interdisciplinary, rooted in psychology and social sciences, but branching into domains related to environmental sciences, medicine, and engineering. Significant research themes focus on perceptions related to health, with a focus on cancer, human immunodeficiency virus, and epidemiology, natural hazards and major disasters, traffic accidents, technological and industrial risks, and customer trust. Risk perception research originated from consumer choice decisions, with subsequent research fronts focusing on understanding the risk perception concept, and on developing taxonomies and measurement methods. Applied research fronts focus on environmental hazards, traffic accidents, breast cancer and, more recently, e-commerce transactions and flood risk. Based on the results, various avenues for future research are described.
    Keywords risk perception ; perception of risk ; perceived risk ; scientometrics ; bibliometrics ; VOSviewer ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 001
    Language English
    Publishing date 2021-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: The Landscape of Risk Communication Research: A Scientometric Analysis.

    Goerlandt, Floris / Li, Jie / Reniers, Genserik

    International journal of environmental research and public health

    2020  Volume 17, Issue 9

    Abstract: Risk communication is a significant research domain with practical importance in supporting societal risk governance and informed private decision making. In this article, a high-level analysis of the risk communication research domain is performed using ...

    Abstract Risk communication is a significant research domain with practical importance in supporting societal risk governance and informed private decision making. In this article, a high-level analysis of the risk communication research domain is performed using scientometrics methods and visualization tools. Output trends and geographical patterns are identified, and patterns in scientific categories determined. A journal distribution analysis provides insights into dominant journals and the domain's intellectual base. Thematic clusters and temporal evolution of focus topics are obtained using a terms analysis, and a co-citation analysis provides insights into the evolution of research fronts and key documents. The results indicate that the research volume grows exponentially, with by far most contributions originating from Western countries. The domain is highly interdisciplinary, rooted in psychology and social sciences, and branching mainly into medicine and environmental sciences. Narrative themes focus on risk communication in medical and societal risk governance contexts. The domain originated from public health and environmental concerns, with subsequent research fronts addressing risk communication concepts and models. Applied research fronts are associated with environmental hazards, public health, medical risks, nuclear power, and emergency response to various natural hazards. Based on the results, various avenues for future research are described.
    MeSH term(s) Bibliometrics ; Environmental Medicine ; Interdisciplinary Communication ; Public Health
    Keywords covid19
    Language English
    Publishing date 2020-05-07
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1660-4601
    ISSN (online) 1660-4601
    DOI 10.3390/ijerph17093255
    Database MEDical Literature Analysis and Retrieval System OnLINE

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