Cargando…
Spatiotemporal behavior pattern differentiation and preference identification of tourists from the perspective of ecotourism destination based on the tourism digital footprint data
Tourist impact management in ecotourism destinations requires an accurate description of tourists’ spatiotemporal behavior patterns and recreation preferences to minimize the ecological environmental impact and maximize the recreation experience. This study classified tourist behaviors into five typ...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146474/ https://www.ncbi.nlm.nih.gov/pubmed/37115762 http://dx.doi.org/10.1371/journal.pone.0285192 |
_version_ | 1785034589620666368 |
---|---|
author | Dong, Wei Kang, Qi Wang, Guangkui Zhang, Bin Liu, Ping |
author_facet | Dong, Wei Kang, Qi Wang, Guangkui Zhang, Bin Liu, Ping |
author_sort | Dong, Wei |
collection | PubMed |
description | Tourist impact management in ecotourism destinations requires an accurate description of tourists’ spatiotemporal behavior patterns and recreation preferences to minimize the ecological environmental impact and maximize the recreation experience. This study classified tourist behaviors into five typical behavior patterns based on the digital footprints of tourists visiting Ziwuyu of the Qinling Mountains, including 348 traveling tracks and 750 corresponding geotagged photographs: short-distance, traversing, reentrant, large loop, and small loop. Furthermore, each behavior pattern’s recreation preference was identified using photograph analysis. Tourists with large-loop and reentrant behavior patterns have 89.8% and 30% chances of visiting Jianshanding, respectively. Key protected areas are faced with the risk of ecological environmental damage. Based on the behavior pattern differentiation and preference of tourists, this paper provides a decision-making basis for the classified management and guidance of tourists in ecotourism destinations. It has reference value for the management of similar ecotourism destinations. |
format | Online Article Text |
id | pubmed-10146474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-101464742023-04-29 Spatiotemporal behavior pattern differentiation and preference identification of tourists from the perspective of ecotourism destination based on the tourism digital footprint data Dong, Wei Kang, Qi Wang, Guangkui Zhang, Bin Liu, Ping PLoS One Research Article Tourist impact management in ecotourism destinations requires an accurate description of tourists’ spatiotemporal behavior patterns and recreation preferences to minimize the ecological environmental impact and maximize the recreation experience. This study classified tourist behaviors into five typical behavior patterns based on the digital footprints of tourists visiting Ziwuyu of the Qinling Mountains, including 348 traveling tracks and 750 corresponding geotagged photographs: short-distance, traversing, reentrant, large loop, and small loop. Furthermore, each behavior pattern’s recreation preference was identified using photograph analysis. Tourists with large-loop and reentrant behavior patterns have 89.8% and 30% chances of visiting Jianshanding, respectively. Key protected areas are faced with the risk of ecological environmental damage. Based on the behavior pattern differentiation and preference of tourists, this paper provides a decision-making basis for the classified management and guidance of tourists in ecotourism destinations. It has reference value for the management of similar ecotourism destinations. Public Library of Science 2023-04-28 /pmc/articles/PMC10146474/ /pubmed/37115762 http://dx.doi.org/10.1371/journal.pone.0285192 Text en © 2023 Dong et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Dong, Wei Kang, Qi Wang, Guangkui Zhang, Bin Liu, Ping Spatiotemporal behavior pattern differentiation and preference identification of tourists from the perspective of ecotourism destination based on the tourism digital footprint data |
title | Spatiotemporal behavior pattern differentiation and preference identification of tourists from the perspective of ecotourism destination based on the tourism digital footprint data |
title_full | Spatiotemporal behavior pattern differentiation and preference identification of tourists from the perspective of ecotourism destination based on the tourism digital footprint data |
title_fullStr | Spatiotemporal behavior pattern differentiation and preference identification of tourists from the perspective of ecotourism destination based on the tourism digital footprint data |
title_full_unstemmed | Spatiotemporal behavior pattern differentiation and preference identification of tourists from the perspective of ecotourism destination based on the tourism digital footprint data |
title_short | Spatiotemporal behavior pattern differentiation and preference identification of tourists from the perspective of ecotourism destination based on the tourism digital footprint data |
title_sort | spatiotemporal behavior pattern differentiation and preference identification of tourists from the perspective of ecotourism destination based on the tourism digital footprint data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146474/ https://www.ncbi.nlm.nih.gov/pubmed/37115762 http://dx.doi.org/10.1371/journal.pone.0285192 |
work_keys_str_mv | AT dongwei spatiotemporalbehaviorpatterndifferentiationandpreferenceidentificationoftouristsfromtheperspectiveofecotourismdestinationbasedonthetourismdigitalfootprintdata AT kangqi spatiotemporalbehaviorpatterndifferentiationandpreferenceidentificationoftouristsfromtheperspectiveofecotourismdestinationbasedonthetourismdigitalfootprintdata AT wangguangkui spatiotemporalbehaviorpatterndifferentiationandpreferenceidentificationoftouristsfromtheperspectiveofecotourismdestinationbasedonthetourismdigitalfootprintdata AT zhangbin spatiotemporalbehaviorpatterndifferentiationandpreferenceidentificationoftouristsfromtheperspectiveofecotourismdestinationbasedonthetourismdigitalfootprintdata AT liuping spatiotemporalbehaviorpatterndifferentiationandpreferenceidentificationoftouristsfromtheperspectiveofecotourismdestinationbasedonthetourismdigitalfootprintdata |