Agent-Based Modeling and Simulation of Tourism Market Recovery Strategy after COVID-19 in Yunnan, China

The tourism industry hit severely by COVID-19 faces the challenge of developing effective market recovery strategies. Nonetheless, the existing literature is still limited regarding the dynamic evolution process and management practice. Hence, this study chose several famous spots in the Yunnan Prov...

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Autores principales:	Yumei Luo, Yuwei Li, Guiping Wang, Qiongwei Ye
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	market recovery agent-based modeling and simulation destination decision process recovery strategy Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/006367f145d240759b9bbb0d994757c2
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id	oai:doaj.org-article:006367f145d240759b9bbb0d994757c2
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spelling	oai:doaj.org-article:006367f145d240759b9bbb0d994757c22021-11-11T19:28:05ZAgent-Based Modeling and Simulation of Tourism Market Recovery Strategy after COVID-19 in Yunnan, China10.3390/su1321117502071-1050https://doaj.org/article/006367f145d240759b9bbb0d994757c22021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11750https://doaj.org/toc/2071-1050The tourism industry hit severely by COVID-19 faces the challenge of developing effective market recovery strategies. Nonetheless, the existing literature is still limited regarding the dynamic evolution process and management practice. Hence, this study chose several famous spots in the Yunnan Province of China as the focus for a case study and utilized an agent-based simulation method for the decision-making process of tourists’ destination selection and the dynamic recovery process of the destinations under different price and information strategies. The study found that the recovery effects of information strategies are positive, negative, or have no effect in different destinations. In contrast, price strategies can significantly stimulate an increase in the market share of destinations. When price strategy and information strategy are applied simultaneously, the interaction effects are inconsistent in different destinations. The findings contribute to the prediction of the recovery effect of strategies, can reduce trial and error costs, and can improve the scientific understanding of tourism market recovery.Yumei LuoYuwei LiGuiping WangQiongwei YeMDPI AGarticlemarket recoveryagent-based modeling and simulationdestination decision processrecovery strategyEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11750, p 11750 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	market recovery agent-based modeling and simulation destination decision process recovery strategy Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	market recovery agent-based modeling and simulation destination decision process recovery strategy Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Yumei Luo Yuwei Li Guiping Wang Qiongwei Ye Agent-Based Modeling and Simulation of Tourism Market Recovery Strategy after COVID-19 in Yunnan, China
description	The tourism industry hit severely by COVID-19 faces the challenge of developing effective market recovery strategies. Nonetheless, the existing literature is still limited regarding the dynamic evolution process and management practice. Hence, this study chose several famous spots in the Yunnan Province of China as the focus for a case study and utilized an agent-based simulation method for the decision-making process of tourists’ destination selection and the dynamic recovery process of the destinations under different price and information strategies. The study found that the recovery effects of information strategies are positive, negative, or have no effect in different destinations. In contrast, price strategies can significantly stimulate an increase in the market share of destinations. When price strategy and information strategy are applied simultaneously, the interaction effects are inconsistent in different destinations. The findings contribute to the prediction of the recovery effect of strategies, can reduce trial and error costs, and can improve the scientific understanding of tourism market recovery.
format	article
author	Yumei Luo Yuwei Li Guiping Wang Qiongwei Ye
author_facet	Yumei Luo Yuwei Li Guiping Wang Qiongwei Ye
author_sort	Yumei Luo
title	Agent-Based Modeling and Simulation of Tourism Market Recovery Strategy after COVID-19 in Yunnan, China
title_short	Agent-Based Modeling and Simulation of Tourism Market Recovery Strategy after COVID-19 in Yunnan, China
title_full	Agent-Based Modeling and Simulation of Tourism Market Recovery Strategy after COVID-19 in Yunnan, China
title_fullStr	Agent-Based Modeling and Simulation of Tourism Market Recovery Strategy after COVID-19 in Yunnan, China
title_full_unstemmed	Agent-Based Modeling and Simulation of Tourism Market Recovery Strategy after COVID-19 in Yunnan, China
title_sort	agent-based modeling and simulation of tourism market recovery strategy after covid-19 in yunnan, china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/006367f145d240759b9bbb0d994757c2
work_keys_str_mv	AT yumeiluo agentbasedmodelingandsimulationoftourismmarketrecoverystrategyaftercovid19inyunnanchina AT yuweili agentbasedmodelingandsimulationoftourismmarketrecoverystrategyaftercovid19inyunnanchina AT guipingwang agentbasedmodelingandsimulationoftourismmarketrecoverystrategyaftercovid19inyunnanchina AT qiongweiye agentbasedmodelingandsimulationoftourismmarketrecoverystrategyaftercovid19inyunnanchina
_version_	1718431506579324928

Agent-Based Modeling and Simulation of Tourism Market Recovery Strategy after COVID-19 in Yunnan, China

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