{rfName}
A

Indexed in

APC

2 290,00 Euros
Wiley
Transformative agreement with library

License and Use

Icono OpenAccess

Citations

4

Altmetrics

Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Pena, Gabriel AAuthorMateos, AlfonsoCorresponding AuthorJimenez-Martin, AntonioAuthorSanchis, Raul GAuthor

Share

November 26, 2024
Publications
>
Article
Hybrid Gold

A decision support system for risk reduction in pandemic spread based on the management of passenger air traffic

Publicated to: International Transactions in Operational Research. 32 (4): 1893-1917 - 2025-07-01 32(4), DOI: 10.1111/itor.13576

Authors:

Pena, Gabriel A; Mateos, Alfonso; Jimenez-Martin, Antonio; Sanchis, Raul G
[+]

Affiliations

Univ Politecn Madrid, Dept Inteligencia Artificial, Campus Montegancedo S-N, Boadilla Del Monte 28660, Madrid, Spain - Author

Abstract

A significant factor in the early spread of pandemics at an international level is passenger air traffic. Decisions regarding passenger air traffic could assist different countries in managing the risk of pandemic importation. However, flight cancelations would have economic and social impacts, leading to a multiobjective optimization problem. A decision support system (DSS) for reducing the risk of pandemic spread by managing passenger air traffic is introduced. This DSS enables decision makers (DMs) to parameterize the problem to be solved (time period, country of analysis, the percentage of targeted risk reduction, etc.), quantify DM preferences using ordinal information on the objectives, solve the resulting binary single-objective optimization problem using a binary particle swarm optimization metaheuristic, and visualize the optimal solution. The methodology is illustrated using the example of Spain with 38 national airports and 5000 international connections, involving 9678 flights within the time period from September 24 to October 7, 2020.
[+]

Keywords

Air traffic managementBinary psBinary psoCriteriDecision support systemDominanceElicitationGood health and well-beingImportation of pandemicsOrdinal informationPotential optimalityPreferencesRisk managementWeights

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal International Transactions in Operational Research due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science Applications.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • Google Scholar: 1
  • WoS: 1
  • Scopus: 1
[+]

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 8.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 8 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 7.
  • The number of mentions in news outlets: 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/92508/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 50
  • Downloads: 17
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 3 - Ensure healthy lives and promote well-being for all at all ages, with a probability of 80% according to the mBERT algorithm developed by Aurora University.
[+]

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (PEÑA DELFIN, GABRIEL ALEJANDRO) and Last Author (GUTIERREZ SANCHIS, RAUL).

the author responsible for correspondence tasks has been MATEOS CABALLERO, ALFONSO.

[+]

Project objectives

Los objetivos perseguidos en esta aportación se centran en desarrollar y aplicar un sistema de soporte a la decisión para la gestión del tráfico aéreo de pasajeros con el fin de reducir el riesgo de propagación pandémica. Se pretende analizar el impacto del tráfico aéreo en la diseminación temprana de pandemias a nivel internacional, evaluar las preferencias de los responsables de la toma de decisiones mediante información ordinal sobre múltiples objetivos, determinar soluciones óptimas a través de un problema de optimización binaria resuelto con una metaheurística de enjambre de partículas, caracterizar el problema en función de parámetros como el periodo temporal, país y porcentaje de reducción de riesgo, y visualizar las soluciones óptimas, ilustrando la metodología con el caso de España entre el 24 de septiembre y el 7 de octubre de 2020.
[+]

Most relevant results

El estudio presenta un sistema de apoyo a la decisión (DSS) para reducir el riesgo de propagación pandémica mediante la gestión del tráfico aéreo de pasajeros. Los resultados más relevantes son: el DSS permite parametrizar el problema según periodo temporal, país y porcentaje de reducción de riesgo; incorpora las preferencias de los decisores mediante información ordinal sobre los objetivos; resuelve el problema de optimización binaria utilizando una metaheurística de enjambre de partículas; y visualiza la solución óptima para facilitar la toma de decisiones. La metodología se aplicó al caso de España, considerando 38 aeropuertos nacionales, 5000 conexiones internacionales y 9678 vuelos entre el 24 de septiembre y el 7 de octubre de 2020.
[+]

Awards linked to the item

This paper was supported by the Grants PID2021-122209OB-C31 and RED2022-134540-T funded by MICIU/AEI/10.13039/501100011033.
[+]