Identification and Analysis of Vulnerability in Traffic-Intensive Areas of Water Transportation Systems

Abstract

Water transportation accidents have occurred frequently in recent years. In order to improve the emergency response capability of water transportation systems under traffic-intensive conditions, this paper identifies and analyzes the vulnerability in traffic-intensive areas of water transportation systems. Firstly, the vulnerability identification model was constructed based on the analysis of characteristics and the vulnerability-influencing factors of water transportation systems. The newly proposed model is composed of three parts including the DEMATEL (Decision Making Trial and Evaluation Laboratory) method, ISM (interpretative structural modeling) model, and AHP (Analytic Hierarchy Process)–entropy weight method. Finally, a case study of the Yangtze River was conducted to test the logicality and feasibility of the proposed model. The research results reveal that traffic flow density, ship traffic, tides, fog, and bad weather are the key factors affecting the vulnerability of water transportation in traffic-intensive areas of the Yangtze River estuary. However, the influence of navigation aid configuration, berth, anchorage, and obstruction on the system vulnerability is relatively lower. The findings of this study can provide helpful references for maritime administration authorities on the management of water transportation safety.

Vulnerability Assessment for Port Logistics System Based on DEMATEL-ISM-BWM

“…The port should focus on strengthening the detection of natural disasters and early warning, so as to minimize the vulnerability of the port logistics system. The port should focus on strengthening the detection of natural disasters and early warning [13,15,31], and maintain and manage the related handling facilities as much as possible, so as to minimize the vulnerability of the port logistics system.…”

“…Shieh integrated three systems analysis methods of DEMATEL, ISM, and ANP (Analytic Network Process) [17,19] to identify the vulnerability factors affecting the transport system, effectively integrating the characteristics of the vulnerability factors and the interaction between the vulnerability factors. Similarly, Chen et al [15] integrated DEMATEL, ISM, and AHP to overcome the challenges of vulnerability factor identification. Wang et al [16] used the DEA and complex network method to study the attractiveness of hub ports.…”

“…The mainstream methods for studying vulnerability include hierarchical analysis (AHP) [15], data envelopment analysis (DEA) [2,16], analytic network process (ANP) [17], (Technique for Order Preference by Similarity to an Ideal Solution) TOPSIS [18] model, ISM [15,19], DEMATEL [15,19], BWM [20] methods and so on. However, previous studies were unable to analyze in depth the relationship between various factors affecting vulnerability, and the process of determining the "vulnerability point" was too complicated.…”

Research on safety and efficiency warranted vessel scheduling in unidirectional multi-junction waterways of port waters

“…The actual performance of seaport water traffic depends on many factors, such as waterway distribution, traffic rules, scheduling approach, environment. Overall, it is a complex system composed of vessels and port infrastructure (Chen et al, 2019c). The seaport studied in this paper consists of multiple harbor basins and one main waterway with several branch waterways for multi-junction, as depicted in Fig.…”

Investigation of Oil Spills from Oil Tankers through Grey Theory: Events from 1974 to 2016

“…Therefore, maritime incidents remain a high risk for all ships at sea, without exception. Overall, 50% of shipping accidents have been caused by adverse weather [20][21][22][23].…”