Leisure Agricultural Park Selection for Traveler Groups Amid the COVID-19 Pandemic
Hsin-Chieh Wu,
Yu-Cheng Lin and
Tin-Chih Toly Chen
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Hsin-Chieh Wu: Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung City 413310, Taiwan
Yu-Cheng Lin: Department of Computer-Aided Industrial Design, Overseas Chinese University, Taichung City 40721, Taiwan
Tin-Chih Toly Chen: Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu City 30010, Taiwan
Agriculture, 2022, vol. 12, issue 1, 1-19
Abstract:
With the widespread vaccination against COVID-19, people began to resume regional tourism. Outdoor attractions, such as leisure agricultural parks, are particularly attractive because they are well ventilated and can prevent the spread of COVID-19. However, during the COVID-19 pandemic, the considerations around choosing a leisure agricultural park are different from usual, and will be affected by uncertainty. Therefore, this research proposes a fuzzy collaborative intelligence (FCI) approach to help select leisure agricultural parks suitable for traveler groups during the COVID-19 pandemic. The proposed FCI approach combines asymmetrically calibrated fuzzy geometric mean (acFGM), fuzzy weighted intersection (FWI), and fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (fuzzy VIKOR), which is a novel attempt in this field. The effectiveness of the proposed FCI approach has been verified by a case study in Taichung City, Taiwan. The results of the case study showed that during the COVID-19 pandemic, travelers (especially traveler groups) were very willing to go to leisure agricultural parks. In addition, the most important criterion for choosing a suitable leisure agricultural park was the ease of maintaining social distance, while the least important criterion was the distance from a leisure agricultural park. Further, the successful recommendation rate using the proposed methodology was as high as 90%.
Keywords: leisure agricultural park; traveler group; COVID-19 pandemic; fuzzy collaborative intelligence (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:12:y:2022:i:1:p:111-:d:724338
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