Exploring critical attributes during air traffic congestion with a fuzzy DEMATEL–ANP technique: a case study in Ninoy Aquino International Airport

Abstract

The constant growth of air travel in the Philippines has brought about significant consequences to air traffic congestion. Given limited resources, major airports seek to address this issue while considering various attributes generally affecting air transportation. This paper adopts fuzzy decision-making trial and evaluation laboratory-analytic network process (DEMATEL-ANP) to identify the most critical attributes in the commercial aviation industry. A case study participated by key experts of Ninoy Aquino International Airport was conducted to illustrate the proposed approach. The fuzzy DEMATEL-ANP model performed satisfactorily as it was able to extract the global priority vectors of attributes under a fuzzy environment. The results showed that aviation safety is most prioritized, as can also be seen from the significant influence it brings on other attributes. Following next to safety in terms of priority are attributes that address the general air transportation system such as economic value, environmental value, social value, equitable treatment of competing airline, customer goodwill, and utilization of runway and terminal. Then, attributes relating to passenger cost, fuel cost, extra crew cost, landing/take-off fee, and cost of using flight routes are of last priority. Given the order of priorities and criticality of each attribute, shortterm and long-term policies can be framed accordingly to propose air traffic flow management actions that can best address the issue on congestion.

Application of fuzzy DEMATEL–ANP methods for siting refugee camps

“…The ANP method is applicable in a hierarchical structure and can solve problems dependent on several criteria. As mentioned by Bongo and Ocampo (2017), a more comprehensive representation of the decision-making problem is obtained when this hybrid fuzzy MCDM approach is used. Trivedi and Singh (2017) furthermore highlight that qualitative factors are included in a limited number of papers using MCDM techniques, while mathematical formulations have addressed this issue mostly through quantifiable factors.…”

“…There could also be a higher number of experts involved in the research, although the values would average themselves out from a certain number of respondents. Moreover, the same combination of methods has been used before and the similar number of respondents has been involved (Tzeng and Huong, 2011; Ju et al , 2015; Fazli et al , 2015; Bongo and Ocampo, 2017; Mediouni et al , 2018). All experts work for the same humanitarian organization.…”

Emergency preparedness during the COVID-19 pandemic: Modelling the roles of social media with fuzzy DEMATEL and analytic network process

“…To obtain a measure about the systematic impact of social media roles, alternatively viewed as their importance in emergency preparedness initiatives, the analytic network process (ANP) [ 17 ] is employed along with the FDEMATEL. This process of integrating FDEMATEL and ANP, popularly known as FDANP, has been demonstrated in various recent applications, e.g., air traffic congestion [ 18 ], sustainable food manufacturing [ 19 ], location selection [ 20 ], among others.…”

An Integer Linear Programming Formulation for Post-Departure Air Traffic Flow Management

“…With such a case, setting safety as a focal objective in the air traffic management can satisfactorily benefit not only the stakeholders but also the entire air transportation sector. Safety in air transportation has been widely tackled under various focus such as key performance indices (KPIs) of stakeholders [17] as well as assessing safety performance and risk [15,18,19,20,21,22], providing safety performance indicators [14,23], exploring critical attributes during air traffic congestion [24], and aviation safety metrics [25], among others. Despite the potentially outstanding research efforts of prior works in the literature, a common difficulty of quantifying safety seems to persist due to the very high safety level in the air transportation sector and a consequently low number of incidents and accidents used as a basic aspect for measuring safety [15].…”