Tourist Route Optimization in the Context of COVID-19 Pandemic

Abstract

The paper presents an innovative method for tourist route planning inside a destination. The necessity of reorganizing the tourist routes within a destination comes as an immediate response to the Covid-19 crisis. The implementation of the method inside tourist destinations can be an important advantage in transforming a destination into a safer destination in times of Covid-19 and post-Covid-19. The existing trend of shortening the tourist stay length has been accelerated while the epidemic became a pandemic. Moreover, the wariness for future pandemics has brought to the spotlight the issue of overcrowded attractions inside a destination at certain moments. The method proposed in this paper proposes a backtracking algorithm, more precisely an adaptation of the travelling salesman problem. The method presented aims to facilitate the navigation inside a destination and to revive certain less-visited sightseeing spots inside a destination while facilitating the social distancing measures imposed by Covid-19.

Propuesta de una ruta turística termal en el sudoeste bonaerense (Argentina)

“…Por otra parte, Păcurar et al (2021) sostienen que es fundamental que el turismo participe activamente en el desarrollo sostenible y coopere con las demás industrias para preservar la calidad de los recursos esenciales para la actividad turística, por lo que constituye una necesidad la gestión de los destinos turísticos basada en sus principios a fin de prevenir o reducir la sobrecarga turística y sus efectos negativos.…”

Particle Swarm Algorithm and Its Application in Tourism Route Design and Optimization

“…Although a small number of travel websites also provide similar route planning functions, after selecting this function, most travel agency travel route product recommendations rather than regional travel route planning appear. Therefore, the public urgently needs a tourism route planning method that considers attractions, hotels, and other factors to meet the personalized and practical needs of tourists [ 1 – 6 ].…”

Optimization of tourism routes in Lushunkou District based on ArcGIS

“…The development of tourism should be resumed to avoid greater losses in this sector. By resuming the development of the tourism industry through optimization of tourism routes, not only can we avoid greater losses, but also we can promote compliance with the social distancing measures imposed for Covid-19 control [3,4].…”

“…In recent years, scholars (both in China and abroad) have extensively researched the optimization of tourist routes, and have proposed many research methods. The research methods involved have made use of various algorithms such as the ant colony algorithm [8,9], genetic algorithm [9], degenerate algorithm [10], probability prediction algorithm [11], data mining [12], backtracking algorithm [3] and so on. Such as optimization of tourist routes based on tourists, Wei Sun used the ant colony algorithm and the cluster analysis to build a model with the shortest time, lowest cost, and best travel experience to study the national 5Alevel tourist routes [13].…”