Leisure Agricultural Park Selection for Traveler Groups Amid the COVID-19 Pandemic
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 consider...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-01-01
|
| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/12/1/111 |
| _version_ | 1797496779651940352 |
|---|---|
| author | Hsin-Chieh Wu Yu-Cheng Lin Tin-Chih Toly Chen |
| author_facet | Hsin-Chieh Wu Yu-Cheng Lin Tin-Chih Toly Chen |
| author_sort | Hsin-Chieh Wu |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-03-10T03:08:30Z |
| format | Article |
| id | doaj.art-626f09afaed74a09a2cd334f9dacc171 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-10T03:08:30Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-626f09afaed74a09a2cd334f9dacc1712023-11-23T12:36:24ZengMDPI AGAgriculture2077-04722022-01-0112111110.3390/agriculture12010111Leisure Agricultural Park Selection for Traveler Groups Amid the COVID-19 PandemicHsin-Chieh Wu0Yu-Cheng Lin1Tin-Chih Toly Chen2Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung City 413310, TaiwanDepartment of Computer-Aided Industrial Design, Overseas Chinese University, Taichung City 40721, TaiwanDepartment of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu City 30010, TaiwanWith 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%.https://www.mdpi.com/2077-0472/12/1/111leisure agricultural parktraveler groupCOVID-19 pandemicfuzzy collaborative intelligence |
| spellingShingle | Hsin-Chieh Wu Yu-Cheng Lin Tin-Chih Toly Chen Leisure Agricultural Park Selection for Traveler Groups Amid the COVID-19 Pandemic Agriculture leisure agricultural park traveler group COVID-19 pandemic fuzzy collaborative intelligence |
| title | Leisure Agricultural Park Selection for Traveler Groups Amid the COVID-19 Pandemic |
| title_full | Leisure Agricultural Park Selection for Traveler Groups Amid the COVID-19 Pandemic |
| title_fullStr | Leisure Agricultural Park Selection for Traveler Groups Amid the COVID-19 Pandemic |
| title_full_unstemmed | Leisure Agricultural Park Selection for Traveler Groups Amid the COVID-19 Pandemic |
| title_short | Leisure Agricultural Park Selection for Traveler Groups Amid the COVID-19 Pandemic |
| title_sort | leisure agricultural park selection for traveler groups amid the covid 19 pandemic |
| topic | leisure agricultural park traveler group COVID-19 pandemic fuzzy collaborative intelligence |
| url | https://www.mdpi.com/2077-0472/12/1/111 |
| work_keys_str_mv | AT hsinchiehwu leisureagriculturalparkselectionfortravelergroupsamidthecovid19pandemic AT yuchenglin leisureagriculturalparkselectionfortravelergroupsamidthecovid19pandemic AT tinchihtolychen leisureagriculturalparkselectionfortravelergroupsamidthecovid19pandemic |