Ports’ Service Attributes for Ship Navigation Safety

The purpose of this paper is to discuss the service attributes of ports for ship navigation safety. Based on the relevant literature and the features of ship navigation in ports, the service attributes of ports for ship navigation were first investigated. A fuzzy AHP model was then used to identify those attributes from shipmasters’ perspectives. Finally, a Dissatisfaction Attitude (DA) index was used to determine the attributes’ priorities, by which the port authorities may make policies for improving ship navigation safety. As an empirical study, the shipmasters berthing their ships in Kaohsiung Port were surveyed to validate the model. The result constructs 19 port service attributes (SAs) for ship navigation safety, in which, the shipmasters place more emphasis on the SAs of operators’ professional literacy, including the marine pilot’s professional and English communication abilities, the VTC (Vessel Traffic Center) regulator’s professional and English communication abilities, and the tugboat driver’s skills. While, for Kaohsiung Port, currently, the traffic control of fairway is the most important aspect to be improved. The theoretical and managerial implications of the findings for port authorities in improving ship navigation safety are discussed.

[1]  José María Moreno-Jiménez,et al.  The geometric consistency index: Approximated thresholds , 2003, Eur. J. Oper. Res..

[2]  Simon Folkard,et al.  Health, well-being and burnout of ICU nurses on 12- and 8-h shifts , 1996 .

[3]  Ernestos Tzannatos,et al.  Analysis of accidents in Greek shipping during the pre- and post-ISM period , 2009 .

[4]  Ji-Feng Ding Partner Selection of Strategic Alliance for a Liner Shipping Company Using Extent Analysis Method of Fuzzy AHP , 2009 .

[5]  Ronald R. Yager,et al.  A procedure for ordering fuzzy subsets of the unit interval , 1981, Inf. Sci..

[6]  Yiannis G. Smirlis,et al.  A Classification Tree Application to Predict Total Ship Loss , 2005 .

[7]  H. Thierry,et al.  The effects of extended workdays on fatigue, health, performance and satisfaction in nursing. , 2003, Journal of advanced nursing.

[8]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[9]  R. M. Darbra,et al.  Safety culture and hazard risk perception of Australian and New Zealand maritime pilots , 2007 .

[10]  Joaquim Casal,et al.  Historical analysis of accidents in seaports , 2004 .

[11]  Helle Asgjerd Oltedal,et al.  Reporting practices in merchant shipping, and the identification of influencing factors , 2011 .

[12]  Gin-Shuh Liang,et al.  Applying fuzzy quality function deployment to identify service management requirements for an ocean freight forwarder , 2006 .

[13]  Olav F. Knudsen,et al.  IMO legislation and its implementation: Accident risk, vessel deficiencies and national administrative practices , 2011 .

[14]  Kathryn Mearns,et al.  Safety in shipping: the human element. , 2006, Journal of safety research.

[15]  Muhittin Celik,et al.  A risk-based modelling approach to enhance shipping accident investigation , 2010 .

[16]  Chin-Shan Lu,et al.  The effects of safety climate on vessel accidents in the container shipping context. , 2008, Accident; analysis and prevention.

[17]  Dimitrios X. Kokotos,et al.  An application of data mining tools for the study of shipping safety in restricted waters , 2011 .

[18]  Rachel McNamara,et al.  A review of research into fatigue in offshore shipping , 2000 .

[19]  A. Kaufmann,et al.  Introduction to fuzzy arithmetic : theory and applications , 1986 .

[20]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .