Artikel

Modelos de pronósticos de la demanda turística: Una revisión de los estudios actuales

Tourism has gained vital importance in recent times as it is one of the economic activities that brings the greatest benefits to a country, both in the social, economic and environmental spheres. Consequently, demand forecasting models in the sector are adequate tools that support decision-making. In this sense, several authors have made important contributions in the field of science that help improve tourism management. This leads to the objective of analyzing current trends in tourism forecasting models using the R bibliometrix tool, covering 254 research articles published between 2017 and 2021. The main results show that the models for forecasting tourism demand they are constantly evolving and there is no single model that works well for all situations. It can also be seen that due to the COVID-19 pandemic, the forecast models for that year were unusable; however, it was the year with the most publications. Similarly, this research allowed to identify the main countries, scientific journals and authors who address the study of tourism demand.

Weitere Titel
Tourism demand forecasting models: A review of current studies
Sprache
Spanisch

Erschienen in
Journal: Revista de Métodos Cuantitativos para la Economía y la Empresa ; ISSN: 1886-516X ; Volume: 36 ; Year: 2023 ; Pages: 1-25

Klassifikation
Wirtschaft
Planning Models; Planning Policy
Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
Tourism: Industry Studies
Thema
Forecast
demand
tourism
review
bibliometrix

Ereignis
Geistige Schöpfung
(wer)
Fernàndez Lòpez, Reinier
Vilalta-Alonso, José Alberto
Porraspita, Deisy Alonso
Blanco Zamora, Yankiel
Núñez González, Saray
Ereignis
Veröffentlichung
(wer)
Universidad Pablo de Olavide
(wo)
Sevilla
(wann)
2023

DOI
doi:10.46661/rev.metodoscuant.econ.empresa.6191
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Fernàndez Lòpez, Reinier
  • Vilalta-Alonso, José Alberto
  • Porraspita, Deisy Alonso
  • Blanco Zamora, Yankiel
  • Núñez González, Saray
  • Universidad Pablo de Olavide

Entstanden

  • 2023

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