Ship Inspection Strategies: Effects on Maritime Safety and Environmental Protection

Transportation Research Part D Transport and Environment (Impact Factor: 1.29). 01/2010; 16(EI 2010-33). DOI: 10.1016/j.trd.2010.07.006
Source: RePEc

ABSTRACT Global trade depends for a large part on maritime transport, and safe ships are needed not only to protect precious cargo but also to prevent environmental damage. Flag state and port state authorities spend much effort in ship safety inspections to ensure a minimum safety level and to prevent casualties. This paper investigates the safety gains of current inspection rules as well as options for further improvement. The analysis is based on a dataset of over four hundred thousand ship arrivals originating from some important trading nations between 2002 and 2007, complemented with data on port state control and industry inspections and casualties. The results indicate considerable potential safety gains of incorporating estimated future casualty risks more explicitly in port state control strategies to select ships for safety inspection.

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    Maritime Policy & Management 01/2013; 40(3):261–277. · 1.45 Impact Factor
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    ABSTRACT: Maritime safety has undergone considerable change in the past decades, particularly inits improved approach to risk quantification analysis. This article reviews the challenges of maritime safety analysis and the different approaches used to quantify the risks in maritime transportation. Formal safety assessment (FSA) is examined with a focus on its deficiencies, and its recent developments are described at the International Maritime Organization (IMO) level. The possible applications of FSA in maritime security and piracy analysis are discussed given its growing impacts on safety at sea. Some new uncertainty and risk modelling techniques are also presented to demonstrate how risk quantification analysis facilitates the transformation of maritime safety culture from a reactive prescriptive scheme towards a proactive goal-setting regime.
    Maritime Policy & Management 05/2013; 40(3). DOI:10.1080/03088839.2013.782952 · 1.45 Impact Factor
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    ABSTRACT: Purpose – The purpose of this paper is to measure a port's green performance. The literature is reviewed and a survey is carried out to identify major green port performance indicators and to evaluate three major ports' overall green performance in Asia. Indicators located in the critical quadrants with a high degree of importance and low degree of performance are identified and resources are suggested that can be employed to improve the ports' overall sustainability performance effectively. Design/methodology/approach – Port performance indicators are reviewed to select the green-related ones by a session of brain storming with academicians from China, Hong Kong, and Taiwan in the shipping discipline. Selected indicators are used to design an analytic hierarchy process (AHP) questionnaire. The weight and degree of performance of each of the 17 green indicators among three major container ports are calculated by the data obtained from the AHP round survey respondents. Findings – Avoiding pollutants during cargo handling and port maintenance, noise control, and sewage treatment were perceived to be the three critical indicators by respondents in two of the three ports investigated. Among the three investigated ports, Shanghai port had the highest number of critical indicators to be improved. Air pollutants avoidance, encouraging the use of low-sulphur fuel, and using electrically powered equipment were three of the five critical indicators found in Shanghai port, but not in the other two investigated ports in this study. Originality/value – The theoretical implications of this research are the development of a conceptual framework to measure the degree of importance of a set of green port performance indicators, and to provide a decision support system to help port authorities to evaluate their performance regarding the 17 green port performance indicators compared with that of other ports.
    International Journal of Physical Distribution & Logistics Management 06/2013; 43(5-6-5):427-451. DOI:10.1108/IJPDLM-04-2012-0134 · 1.04 Impact Factor

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