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Title:Rewarding policies in an asymmetric game for sustainable tourism
Authors:ID Chica, Manuel (Author)
ID Hernández, Juan M. (Author)
ID Perc, Matjaž (Author)
Files:.pdf RAZ_Chica_Manuel_2023.pdf (1,95 MB)
MD5: 8FCAE307DF83EFD8C464F3E5EE4E2095
 
URL https://doi.org/10.1016/j.amc.2023.128183
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:Tourism is a growing sector worldwide, but many popular destinations are facing sustainability problems due to excessive tourist flows and inappropriate behavior. In these areas, there is an urgent need to apply mechanisms to stimulate sustainable practices. This paper studies the most efficient strategy to incentivize sustainable tourism by using an asymmetric evolutionary game. We analyze the application of rewarding policies to the asymmetric game where tourists and stakeholders interact in a spatial lattice, and where tourists can also migrate. The incentives of the rewarding policies have an economic budget which can be allocated to tourists, to stakeholders, or to both sub-populations. The results show that an adaptive rewarding strategy, where the incentive budget changes over time to one or the other sub-population, is more effective than simple rewarding strategies that are exclusively focused on one sub-population. However, when the population density in the game decreases, rewarding just tourists becomes the most effective strategy.
Keywords:rewarding, asymmetric game, migration, evolutionary game theory, sustainability, tourism
Publication status:Published
Publication version:Version of Record
Submitted for review:24.04.2023
Article acceptance date:05.06.2023
Publication date:07.06.2023
Publisher:Elsevier
Year of publishing:2023
Number of pages:12 str.
Numbering:Vol. 457, [article no.] ǂ128183
PID:20.500.12556/DKUM-88191 New window
UDC:53
ISSN on article:0096-3003
COBISS.SI-ID:155888387 New window
DOI:10.1016/j.amc.2023.128183 New window
Publication date in DKUM:24.07.2024
Views:111
Downloads:4
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
CHICA, Manuel, HERNÁNDEZ, Juan M. and PERC, Matjaž, 2023, Rewarding policies in an asymmetric game for sustainable tourism. Applied mathematics and computation [online]. 2023. Vol. 457, no. 128183. [Accessed 23 April 2025]. DOI 10.1016/j.amc.2023.128183. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=88191
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Record is a part of a journal

Title:Applied mathematics and computation
Shortened title:Appl. math. comput.
Publisher:Elsevier
ISSN:0096-3003
COBISS.SI-ID:24983808 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0403-2019
Name:Računsko intenzivni kompleksni sistemi

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-2457-2020
Name:Fazni prehodi proti koordinaciji v večplastnih omrežjih

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:nagrajevanje, asimetrična igra, evolucijska teorija iger, trajnost, turizem


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