Title: An impact study on COVID-19 and tourism sustainability: intelligent solutions, issues and future challenges

Authors: Saumendra Das; Janmenjoy Nayak; Bighnaraj Naik

Addresses: Department of MBA, Aditya Institute of Technology and Management (AITAM), Tekkali-532201, India ' Department of Computer Science and Engineering, Aditya Institute of Technology and Management (AITAM), Tekkali-532201, Andhra Pradesh, India ' Department of Computer Application, Veer Surendra Sai University of Technology (VSSUT), Burla, Sambalpur – 768018, Odisha, India

Abstract: Tourism is the deed of every individual who loves to travel for leisure, entertainment, sports, or other purpose and usually stay in places outside their environment. It involves hospitality, health, sports, education, or entertainment. Tourism is often connected with the individual intentions to discover the facts and findings of the environment. But, the COVID-19 pandemic contamination has furiously affected the kind of tourism industry across the world and waiting for the biggest downfall ever in the history of tourism. It not only affected the common inter and intraregional travel but also badly hit the global tourism sectors. In this article, an impact study of COVID-19 on tourism sustainability is performed with an in-depth discussion on various issues and challenges. Further, an effective analytical perspective is presented on the applications of intelligent computing techniques to meet the challenges of tourism concerning COVID-19. This study will be helpful for effective analysis on different tourism sectors in a post-pandemic scenario along with a special focus towards the enhancement of domain knowledge of different stakeholders, industries, and government organisations.

Keywords: tourism; sustainability; COVID-19; pandemic; machine learning.

DOI: 10.1504/WRSTSD.2023.127268

World Review of Science, Technology and Sustainable Development, 2023 Vol.19 No.1/2, pp.92 - 119

Received: 15 Dec 2020
Accepted: 19 Feb 2021
Published online: 30 Nov 2022 *