Sustainability in tourism determined by an asymmetric game with mobility
Metadatos
Afficher la notice complèteAuteur
Chica Serrano, ManuelEditorial
Elsevier
Materia
Asymmetric game Spatial structure Migration Evolutionary game theory Sustainable tourism Over-tourism
Date
2022-04-09Referencia bibliográfica
Manuel Chica, Juan M. Hernández, Matjaž Perc, Sustainability in tourism determined by an asymmetric game with mobility, Journal of Cleaner Production, Volume 355, 2022, 131662, ISSN 0959-6526, [https://doi.org/10.1016/j.jclepro.2022.131662]
Patrocinador
Spanish Ministry of Science, Andalusian Government, University of Granada; European Commission P18-TP-4475 RYC-2016-19800 PPJIA2020-09; University of Las Palmas de Gran Canaria COVID-19 04; Slovenian Research Agency - Slovenia P1-0403 J1-2457; Universidad de Granada/CBUARésumé
Many countries worldwide rely on tourism for their economic well-being and development. But with issues
such as over-tourism and environmental degradation looming large, there is a pressing need to determine
a way forward in a sustainable and mutually rewarding manner. With this motivation, we here propose an
asymmetric evolutionary game with mobility where local stakeholders and tourists can either cooperate or
defect in a spatially structured setting. Our study reflects that sustainable tourism is primarily determined by
an optimal trade-off between economic benefits of the stakeholders and their costs related to the application
of sustainability policies. In contrast, the specific benefits and costs of the tourists are comparatively less
relevant. The reader can also observe that allowing for greater tourist mobility decreases cooperation and
leads to faster polarization among local stakeholders. In agreement with observations worldwide, we identify
decreasing population densities in tourist areas in terms of both, stakeholders and tourists, to be a key aid to
greater cooperation and overall sustainability of tourism. These results are rooted in spatial formations and
complex alliances that manifest spontaneously through the evolutionary dynamics in a structured population.