Pirates? Maritime piracy and societal security in Southeast Asia

Abbot, Jason; Renwick, Neil

doi:10.1080/14781159908412867

Cited by 10 publications

(7 citation statements)

References 7 publications

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“…Hollnagel and Goteman (2004) evaluated a number of accident investigation methods based on their commonalities and basic principles, classifying the methods under three main groups: consecutive (sequential) models, epidemiological models, and systemic models. This classification has been recognized by many researchers, such as, Abbot and Renwick (1999), Hollnagel and Goteman (2004), Tvaryanas and Thompson (2008), Arnold (2009), Salmon et al (2012) and Underwood and Waterson (2013).…”

Section: Introductionmentioning

confidence: 90%

“…An accident can be defined as pecuniary and non-pecuniary damage to a person, an object, or the environment resulting from an unintended or unexpected incident (Harrald et al, 1998;Abbot and Renwick, 1999;Etman and Halawa, 2007;Grabowski et al, 2010;Kristiansen, 2013). Maritime accidents -accidents that occur at sea -are defined as undesired incidents resulting in death, injury, loss of vessel, damage to vessel or cargo, damage to equipment, or environmental damage (IMO, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Modified human factor analysis and classification system for passenger vessel accidents (HFACS-PV)

et al. 2018

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Section: Introductionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Modified human factor analysis and classification system for passenger vessel accidents (HFACS-PV)

et al. 2018

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“…However, there is currently a dearth of empirical research on this topic. Instead, much of the research is qualitative (e.g., O’Meara 2007 ) or descriptive (e.g., Abbot and Renwick 1999 ; Vagg 1995 ) in nature, or has focused on how international law applies to this type of crime (e.g., Hong and Ng 2010 ; Ploch 2010 ; Treves, 2009 ).…”

Section: Introductionmentioning

confidence: 99%

Spatial, Temporal and Spatio-Temporal Patterns of Maritime Piracy

Marchione

Johnson

2013

Journal of Research in Crime and Delinquency

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Objectives:To examine patterns in the timing and location of incidents of maritime piracy to see whether, like many urban crimes, attacks cluster in space and time.Methods:Data for all incidents of maritime piracy worldwide recorded by the National Geospatial Intelligence Agency are analyzed using time-series models and methods originally developed to detect disease contagion.Results:At the macro level, analyses suggest that incidents of pirate attacks are concentrated in five subregions of the earth’s oceans and that the time series for these different subregions differ. At the micro level, analyses suggest that for the last 16 years (or more), pirate attacks appear to cluster in space and time suggesting that patterns are not static but are also not random.Conclusions:Much like other types of crime, pirate attacks cluster in space, and following an attack at one location the risk of others at the same location or nearby is temporarily elevated. The identification of such regularities has implications for the understanding of maritime piracy and for predicting the future locations of attacks.

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“…In addition, earlier forms of piracy possessed at least conditional legitimacy. Privateering (the procurement of private vessels by states) was given a degree of official government sanction (Abbot and Renwick ). In comparison, contemporary piracy is seen as illegitimate and is considered criminal activity under international law .…”

Section: A History Of Piracymentioning

confidence: 99%

The New Barbary Wars: Forecasting Maritime Piracy

Daxecker

Prins

2013

Foreign Policy Anal

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This paper extends systematic analyses of maritime piracy by verifying the robustness of empirical results and examining the forecasting ability of empirical models. Recent research by Ward, Greenhill and Bakke () finds that statistically significant relationships frequently offer poor guidance when it comes to anticipating the inception of civil war. We assess the predictive ability of purported causal factors of piracy using evaluative statistical tools such as receiver‐operating characteristic plots, out‐of‐sample predictions, and outlier analysis. Statistical results for in‐sample and out‐of‐sample tests show that while factors such as military capacity, population size, coastline length, and trade volumes are statistically related to piracy, state fragility has by far the strongest predictive effect despite only being moderately statistically significant in the models. Outlier analysis demonstrates that while several countries experience higher numbers of piracy incidents than predicted, empirical models are generally robust to the presence of outliers. For policymakers, the findings suggest that counter‐piracy efforts focused on capacity‐building measures have the greatest potential for reducing the piracy threat.

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Pirates? Maritime piracy and societal security in Southeast Asia

Cited by 10 publications

References 7 publications

Modified human factor analysis and classification system for passenger vessel accidents (HFACS-PV)

Modified human factor analysis and classification system for passenger vessel accidents (HFACS-PV)

Spatial, Temporal and Spatio-Temporal Patterns of Maritime Piracy

The New Barbary Wars: Forecasting Maritime Piracy

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