Performance evaluation of airport safety management systems in Taiwan

Chang, Ya Hui; Shao, Pei Chi; Chen, Hubert J.

doi:10.1016/j.ssci.2014.12.006

Cited by 44 publications

(28 citation statements)

References 21 publications

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“…Table 5 shows that, 30 of previous studies have integrated or combined various MCDM techniques and approaches to evaluate transportation systems in several application areas and transport infrastructure. Chang et al (2015) integrated ANP and fuzzy TOPSIS to evaluate of performance in for airport safety management system, results of this study showed that safety assurance, safety policy and objectives, safety promotion and safety risk management are importance criteria in evaluation of airport safety. mixed AHP, GRA and SAW for assessment and enhance the service quality of airlines industry, results indicated that safety and reliability emerge as the critical factors of service quality.…”

Section: Distribution Based On Hybrid Mcdm and Fmcdmmentioning

confidence: 98%

Multiple Criteria Decision-Making Techniques in Transportation Systems: A Systematic Review of the State of the Art Literature

et al. 2015

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The main goal of this review paper is to provide a systematic review of Multiple Criteria Decision-Making (MCDM) techniques in regard to transportation systems problems. This study reviewed a total of 89 papers, published from 1993 to 2015, from 39 high-ranking journals; most of which were related to transportation science and were extracted from the Web of Science and Scopus databases. Papers were classified into 10 main application areas and nine transport infrastructure. Furthermore, papers were categorized based on the author(s) and year, name of the journal in which they were published, technique and approach, author(s) nationality, application area and scope, study purpose, gap and research problem and results and outcome. The results of this study indicated that more papers on MCDM in 2013 than in any other year. AHP and Fuzzy-AHP methods in the individual methods and hybrid MCDM and fuzzy MCDM in the integrated methods were ranked as the first and second methods in use, respectively. The Transportation Research Part A: Policy and Practice was the most significant journal in this study, with 13 publications on the topic. Finally, service quality was ranked as the first application area and airline industry was ranked as the first transport infrastructure that applied MCDM techniques.

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Section: Distribution Based On Hybrid Mcdm and Fmcdmmentioning

confidence: 98%

Multiple Criteria Decision-Making Techniques in Transportation Systems: A Systematic Review of the State of the Art Literature

et al. 2015

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“…These phases cover similar issues as in evaluation frameworks presented for other industries, e.g. Basso et al (2004), Teo et al (2006) and Chang et al (2015). The evaluation framework presented here, however, differs in the approach adopted, as we do not focus on the SMS components directly, but rather on more generic aspects of an SMS that are known to be relevant based on the generic model by Li and Guldenmund (2018).…”

Section: Framework: Limitations and Future Workmentioning

confidence: 99%

“…This is primarily because this leads to more natural communication between the evaluator and the designers and users of the SMS. In SMS evaluation frameworks in other industries, such as Basso et al (2004), Teo and Ling (2006) and Chang et al (2015), this has also been the approach.…”

Section: Generic Framework: Foundationsmentioning

confidence: 99%

“…In other application domains, such as the chemical process industry (Basso et al 2004), construction (Teo et al 2006) and aviation (Chang et al 2015), several methods have been proposed for evaluating the performance of safety management systems. To the best of the authors' knowledge, no comparable methods have been proposed in the maritime domain.…”

Section: Introductionmentioning

confidence: 99%

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An initial evaluation framework for the design and operational use of maritime STAMP-based safety management systems

Banda

Goerlandt

Salokannel

et al. 2019

WMU J Marit Affairs

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A safety management system (SMS) is the common means used by organizations to assess organizational performance with respect to the safety and wellbeing of people, property and the natural ecosystem. A SMS provides confidence to diverse stakeholders that organizational safety is at an appropriate level and fulfils the applicable regulatory standards. As a multifaceted system for organizational safety assessment, ensurance and assurance, the evaluation of the design and operational use of SMS is a complex process. An evaluation needs to provide evidence about how well the design and operation of an SMS complies with applicable standards and how well the methods used in the SMS implementation support the organizational policies and practical work. In the maritime domain, SMS is broadly applied. However, there are few theoretically rooted SMS design approaches, and there is a lack of frameworks to evaluate how well the SMS is designed and how effectively it operates. This paper proposes an initial evaluation framework for the design and operational use of a maritime SMS design approach based on Systems-Theoretic Accident Model and Processes (STAMP), realist evaluation and Bayesian Networks. This framework is applied for a case study of vessel traffic services (VTS) Finland to test its relevance and ability to guide the SMS design. The experiences gained in the case study, and the related discussion on the framework, can guide further research in this area. Ultimately, the work can be used as a basis for developing maritime SMS auditing processes, based on specific theoretical and methodological approaches.

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“…• (Chang et al, 2015) used two stage processes to evaluate SMS operations at three Taiwan airports according to safety risk management, safety policy and objectives. They acquired weight and rankings for each of the SMS components and elements, and used TOPSIS method for rank ing the airports.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Aircraft Departure Control Systems – Hidden Safety Risks

2017

ijtte

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Abstract:The aviation industry subjects to be comparable with other human-technology industries where risks are always present within their system. Modern appliances, including regulation, training and technology act as superior defense system. This being the case, the paper provides an integrated theoretical and practical reflections and knowledge of planning of safety risks within the framework of safety culture that are based on typical sets of hazardous situations that may affect the aircraft operations, with the main focus on Departure Control Systems (DCS) usage. Departure Control System (DCS) provides various functions and automated key processes in pre-flight preparation. These functions can be integrated or separated between various DCS usages. From system errors, data entry to different day-today operations, these risks were evaluated and analyzed in over five hundred flights. The research unveiled several risks with both visible and hidden consequences related to DCS usage, distinctively affecting aircraft mass and balance. Accident probability was measured and analyzed scrupulously for each airline separately, as a combination of implicit hidden and visible risk occurrence. The risk and accident occurrence ranking was done by Fussell-Vesely importance measures (FV) and Risk Reduction Worth (RRW). The issues were defined and prioritized, thus representing the first step to risk mitigation.

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Performance evaluation of airport safety management systems in Taiwan

Cited by 44 publications

References 21 publications

Multiple Criteria Decision-Making Techniques in Transportation Systems: A Systematic Review of the State of the Art Literature

Multiple Criteria Decision-Making Techniques in Transportation Systems: A Systematic Review of the State of the Art Literature

An initial evaluation framework for the design and operational use of maritime STAMP-based safety management systems

Aircraft Departure Control Systems – Hidden Safety Risks

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