Spatial Analysis and Risk Evaluation for Port Crisis Management Using Integrated Soft Computing and GIS-Based Models: A Case Study of Jazan Port, Saudi Arabia

Mohammed H. Alshareef (), Bassam M. Aljahdali, Ayman F. Alghanmi and Hussain T. Sulaimani
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Mohammed H. Alshareef: Faculty of Maritime Studies, Department of Supply Chain Management and Maritime Business, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Bassam M. Aljahdali: Faculty of Maritime Studies, Department of Supply Chain Management and Maritime Business, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Ayman F. Alghanmi: Faculty of Maritime Studies, Department of Supply Chain Management and Maritime Business, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Hussain T. Sulaimani: Faculty of Maritime Studies, Department of Supply Chain Management and Maritime Business, King Abdulaziz University, Jeddah 21589, Saudi Arabia

Sustainability, 2024, vol. 16, issue 12, 1-24

Abstract: A hazard zoning map is the most essential tool during the crisis management cycle’s prevention and risk reduction phase. In this study, a geographic information system (GIS) is applied to the crisis management of ports through the preparation of a risk zoning map in Jazan Port, Saudi Arabia, using a novel integrated model of the fuzzy hierarchical analysis process and emotional artificial neural network (FAHP-EANN). The objective is to more accurately identify the highly potential risk zones in the port through hybrid techniques, which mitigates the associated life and financial damages through proper management during a probable hazard. Prior to creating the risk zoning map, every potential port accident is identified, categorized into six criteria, and assigned a weight through the utilization of a machine learning algorithm. The findings indicate that the three most effective criteria for the risks of Jazan Port are land fires, pollution and dangerous substances, and human behavior, respectively. A zoning map of all risks in Jazan Port was generated by using the weights obtained for each of the major accidents. This map may be utilized in the development of crisis prevention measures for the port and in the formation of crisis management units.

Keywords: risk assessment; soft computing; geographic information system; fuzzy hierarchical analysis process; emotional artificial neural network; port management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (2)

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