Loading…
Assessment on the component pattern of mountain vacation potential suitability in Hunan Province, China
In China, mountain destinations offer more opportunities for vacation than beaches and springs, with a larger national coverage, richer landscapes and various diverse folk cultures. Hunan Province, for example, serves as a typical mountain tourism destination. Our research aims to assess the potenti...
Saved in:
Published in: | Journal of mountain science 2022-03, Vol.19 (3), p.892-908 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c316t-c689b16a59bea70b344515159fe3c588d838cf5bc542fab00b5c5d11d807dd9a3 |
---|---|
cites | cdi_FETCH-LOGICAL-c316t-c689b16a59bea70b344515159fe3c588d838cf5bc542fab00b5c5d11d807dd9a3 |
container_end_page | 908 |
container_issue | 3 |
container_start_page | 892 |
container_title | Journal of mountain science |
container_volume | 19 |
creator | Du, Ting-ting Li, Da-li Zhong, Yong-de |
description | In China, mountain destinations offer more opportunities for vacation than beaches and springs, with a larger national coverage, richer landscapes and various diverse folk cultures. Hunan Province, for example, serves as a typical mountain tourism destination. Our research aims to assess the potential suitability and component pattern of holidaymaking in Hunan Province to support for scientific endeavors and sustainable use of mountain resources in Hunan. An approach for mapping potential suitability was constructed based on Weighted Linear Combination (WLC) of six primary factors including terrain, climate suitability period, biology and environment, human activity culture, hydrological landscape, and road infrastructure, which is calculated on the base of eleven secondary factors used as suitability criteria. Analytic hierarchy process (AHP) and geographic information system (GIS) were also integrated into the evaluation models to prepare six single and complex factor suitability maps for mountain vacation. Multivariate clustering was used to clarify the component pattern of single factor combinations in each mountain vacation suitability index (MVSI) class. The results have shown that: 1) Regions with high suitability are distributed with characteristics of significant dispersion and limited aggregation; 2) 15.89% of the sample mountains are highly suitable, 30.78% are moderately suitable, 42.61% are marginally suitable and 10.72% are poorly suitable; 3) The complexity of index combination corresponding to each level is different; 4) Different combinations emphasize different destination needs. The study reveals the suitability class, characteristics, and limiting factors of mountain vacation in different geographical locations on the provincial scale. These elements play an instructive role in scientific decision-making and orderly exploitation of resources among Hunan’s Mountain destinations. Furthermore, the study can also be used as a basis for the suitability evaluation of mountain vacation in other areas. |
doi_str_mv | 10.1007/s11629-021-7017-7 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2640559545</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2640559545</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-c689b16a59bea70b344515159fe3c588d838cf5bc542fab00b5c5d11d807dd9a3</originalsourceid><addsrcrecordid>eNp1kEFLAzEQhYMoWKs_wFvAq9HM7mazOZaiVijoQc8hm822Kd1kTbIF_70pFTzJHGYYvvdmeAjdAn0ASvljBKgLQWgBhFPghJ-hGQhREloWcJ7nmhekLqG-RFcx7iituWhghjaLGE2Mg3EJe4fT1mDth9G742JUKZngsO_x4CeXlHX4oLRKNqOjT5mxao_jZJNq7d6mb5yJ1eSUw-_BH6zT5h4vt9apa3TRq300N799jj6fnz6WK7J-e3ldLtZE598S0XUjWqgVE61RnLZlVTHIJXpTatY0XVM2umetZlXRq5bSlmnWAXQN5V0nVDlHdyffMfivycQkd34KLp-URV1RxgSrWKbgROngYwyml2OwgwrfEqg85ilPecqcpzzmKXnWFCdNzKzbmPDn_L_oByfIeZ0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2640559545</pqid></control><display><type>article</type><title>Assessment on the component pattern of mountain vacation potential suitability in Hunan Province, China</title><source>Springer Nature</source><creator>Du, Ting-ting ; Li, Da-li ; Zhong, Yong-de</creator><creatorcontrib>Du, Ting-ting ; Li, Da-li ; Zhong, Yong-de</creatorcontrib><description>In China, mountain destinations offer more opportunities for vacation than beaches and springs, with a larger national coverage, richer landscapes and various diverse folk cultures. Hunan Province, for example, serves as a typical mountain tourism destination. Our research aims to assess the potential suitability and component pattern of holidaymaking in Hunan Province to support for scientific endeavors and sustainable use of mountain resources in Hunan. An approach for mapping potential suitability was constructed based on Weighted Linear Combination (WLC) of six primary factors including terrain, climate suitability period, biology and environment, human activity culture, hydrological landscape, and road infrastructure, which is calculated on the base of eleven secondary factors used as suitability criteria. Analytic hierarchy process (AHP) and geographic information system (GIS) were also integrated into the evaluation models to prepare six single and complex factor suitability maps for mountain vacation. Multivariate clustering was used to clarify the component pattern of single factor combinations in each mountain vacation suitability index (MVSI) class. The results have shown that: 1) Regions with high suitability are distributed with characteristics of significant dispersion and limited aggregation; 2) 15.89% of the sample mountains are highly suitable, 30.78% are moderately suitable, 42.61% are marginally suitable and 10.72% are poorly suitable; 3) The complexity of index combination corresponding to each level is different; 4) Different combinations emphasize different destination needs. The study reveals the suitability class, characteristics, and limiting factors of mountain vacation in different geographical locations on the provincial scale. These elements play an instructive role in scientific decision-making and orderly exploitation of resources among Hunan’s Mountain destinations. Furthermore, the study can also be used as a basis for the suitability evaluation of mountain vacation in other areas.</description><identifier>ISSN: 1672-6316</identifier><identifier>EISSN: 1993-0321</identifier><identifier>EISSN: 1008-2786</identifier><identifier>DOI: 10.1007/s11629-021-7017-7</identifier><language>eng</language><publisher>Heidelberg: Science Press</publisher><subject>Aggregation ; Analytic hierarchy process ; Biology ; Clustering ; Complexity ; Decision making ; Earth and Environmental Science ; Earth Sciences ; Ecology ; Environment ; Evaluation ; Exploitation ; Geographic information systems ; Geographical information systems ; Geographical locations ; Geography ; Hydrology ; Information processing ; Information systems ; Landscape ; Limiting factors ; Mountains ; Original Article ; Remote sensing ; Resource exploitation ; Resources ; Sustainable use ; Tourism ; Vacations</subject><ispartof>Journal of mountain science, 2022-03, Vol.19 (3), p.892-908</ispartof><rights>Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-c689b16a59bea70b344515159fe3c588d838cf5bc542fab00b5c5d11d807dd9a3</citedby><cites>FETCH-LOGICAL-c316t-c689b16a59bea70b344515159fe3c588d838cf5bc542fab00b5c5d11d807dd9a3</cites><orcidid>0000-0002-1955-6186 ; 0000-0001-7214-4386 ; 0000-0002-2823-8585</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Du, Ting-ting</creatorcontrib><creatorcontrib>Li, Da-li</creatorcontrib><creatorcontrib>Zhong, Yong-de</creatorcontrib><title>Assessment on the component pattern of mountain vacation potential suitability in Hunan Province, China</title><title>Journal of mountain science</title><addtitle>J. Mt. Sci</addtitle><description>In China, mountain destinations offer more opportunities for vacation than beaches and springs, with a larger national coverage, richer landscapes and various diverse folk cultures. Hunan Province, for example, serves as a typical mountain tourism destination. Our research aims to assess the potential suitability and component pattern of holidaymaking in Hunan Province to support for scientific endeavors and sustainable use of mountain resources in Hunan. An approach for mapping potential suitability was constructed based on Weighted Linear Combination (WLC) of six primary factors including terrain, climate suitability period, biology and environment, human activity culture, hydrological landscape, and road infrastructure, which is calculated on the base of eleven secondary factors used as suitability criteria. Analytic hierarchy process (AHP) and geographic information system (GIS) were also integrated into the evaluation models to prepare six single and complex factor suitability maps for mountain vacation. Multivariate clustering was used to clarify the component pattern of single factor combinations in each mountain vacation suitability index (MVSI) class. The results have shown that: 1) Regions with high suitability are distributed with characteristics of significant dispersion and limited aggregation; 2) 15.89% of the sample mountains are highly suitable, 30.78% are moderately suitable, 42.61% are marginally suitable and 10.72% are poorly suitable; 3) The complexity of index combination corresponding to each level is different; 4) Different combinations emphasize different destination needs. The study reveals the suitability class, characteristics, and limiting factors of mountain vacation in different geographical locations on the provincial scale. These elements play an instructive role in scientific decision-making and orderly exploitation of resources among Hunan’s Mountain destinations. Furthermore, the study can also be used as a basis for the suitability evaluation of mountain vacation in other areas.</description><subject>Aggregation</subject><subject>Analytic hierarchy process</subject><subject>Biology</subject><subject>Clustering</subject><subject>Complexity</subject><subject>Decision making</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Ecology</subject><subject>Environment</subject><subject>Evaluation</subject><subject>Exploitation</subject><subject>Geographic information systems</subject><subject>Geographical information systems</subject><subject>Geographical locations</subject><subject>Geography</subject><subject>Hydrology</subject><subject>Information processing</subject><subject>Information systems</subject><subject>Landscape</subject><subject>Limiting factors</subject><subject>Mountains</subject><subject>Original Article</subject><subject>Remote sensing</subject><subject>Resource exploitation</subject><subject>Resources</subject><subject>Sustainable use</subject><subject>Tourism</subject><subject>Vacations</subject><issn>1672-6316</issn><issn>1993-0321</issn><issn>1008-2786</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kEFLAzEQhYMoWKs_wFvAq9HM7mazOZaiVijoQc8hm822Kd1kTbIF_70pFTzJHGYYvvdmeAjdAn0ASvljBKgLQWgBhFPghJ-hGQhREloWcJ7nmhekLqG-RFcx7iituWhghjaLGE2Mg3EJe4fT1mDth9G742JUKZngsO_x4CeXlHX4oLRKNqOjT5mxao_jZJNq7d6mb5yJ1eSUw-_BH6zT5h4vt9apa3TRq300N799jj6fnz6WK7J-e3ldLtZE598S0XUjWqgVE61RnLZlVTHIJXpTatY0XVM2umetZlXRq5bSlmnWAXQN5V0nVDlHdyffMfivycQkd34KLp-URV1RxgSrWKbgROngYwyml2OwgwrfEqg85ilPecqcpzzmKXnWFCdNzKzbmPDn_L_oByfIeZ0</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Du, Ting-ting</creator><creator>Li, Da-li</creator><creator>Zhong, Yong-de</creator><general>Science Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-1955-6186</orcidid><orcidid>https://orcid.org/0000-0001-7214-4386</orcidid><orcidid>https://orcid.org/0000-0002-2823-8585</orcidid></search><sort><creationdate>20220301</creationdate><title>Assessment on the component pattern of mountain vacation potential suitability in Hunan Province, China</title><author>Du, Ting-ting ; Li, Da-li ; Zhong, Yong-de</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-c689b16a59bea70b344515159fe3c588d838cf5bc542fab00b5c5d11d807dd9a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aggregation</topic><topic>Analytic hierarchy process</topic><topic>Biology</topic><topic>Clustering</topic><topic>Complexity</topic><topic>Decision making</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Ecology</topic><topic>Environment</topic><topic>Evaluation</topic><topic>Exploitation</topic><topic>Geographic information systems</topic><topic>Geographical information systems</topic><topic>Geographical locations</topic><topic>Geography</topic><topic>Hydrology</topic><topic>Information processing</topic><topic>Information systems</topic><topic>Landscape</topic><topic>Limiting factors</topic><topic>Mountains</topic><topic>Original Article</topic><topic>Remote sensing</topic><topic>Resource exploitation</topic><topic>Resources</topic><topic>Sustainable use</topic><topic>Tourism</topic><topic>Vacations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Du, Ting-ting</creatorcontrib><creatorcontrib>Li, Da-li</creatorcontrib><creatorcontrib>Zhong, Yong-de</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Journal of mountain science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Du, Ting-ting</au><au>Li, Da-li</au><au>Zhong, Yong-de</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment on the component pattern of mountain vacation potential suitability in Hunan Province, China</atitle><jtitle>Journal of mountain science</jtitle><stitle>J. Mt. Sci</stitle><date>2022-03-01</date><risdate>2022</risdate><volume>19</volume><issue>3</issue><spage>892</spage><epage>908</epage><pages>892-908</pages><issn>1672-6316</issn><eissn>1993-0321</eissn><eissn>1008-2786</eissn><abstract>In China, mountain destinations offer more opportunities for vacation than beaches and springs, with a larger national coverage, richer landscapes and various diverse folk cultures. Hunan Province, for example, serves as a typical mountain tourism destination. Our research aims to assess the potential suitability and component pattern of holidaymaking in Hunan Province to support for scientific endeavors and sustainable use of mountain resources in Hunan. An approach for mapping potential suitability was constructed based on Weighted Linear Combination (WLC) of six primary factors including terrain, climate suitability period, biology and environment, human activity culture, hydrological landscape, and road infrastructure, which is calculated on the base of eleven secondary factors used as suitability criteria. Analytic hierarchy process (AHP) and geographic information system (GIS) were also integrated into the evaluation models to prepare six single and complex factor suitability maps for mountain vacation. Multivariate clustering was used to clarify the component pattern of single factor combinations in each mountain vacation suitability index (MVSI) class. The results have shown that: 1) Regions with high suitability are distributed with characteristics of significant dispersion and limited aggregation; 2) 15.89% of the sample mountains are highly suitable, 30.78% are moderately suitable, 42.61% are marginally suitable and 10.72% are poorly suitable; 3) The complexity of index combination corresponding to each level is different; 4) Different combinations emphasize different destination needs. The study reveals the suitability class, characteristics, and limiting factors of mountain vacation in different geographical locations on the provincial scale. These elements play an instructive role in scientific decision-making and orderly exploitation of resources among Hunan’s Mountain destinations. Furthermore, the study can also be used as a basis for the suitability evaluation of mountain vacation in other areas.</abstract><cop>Heidelberg</cop><pub>Science Press</pub><doi>10.1007/s11629-021-7017-7</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-1955-6186</orcidid><orcidid>https://orcid.org/0000-0001-7214-4386</orcidid><orcidid>https://orcid.org/0000-0002-2823-8585</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1672-6316 |
ispartof | Journal of mountain science, 2022-03, Vol.19 (3), p.892-908 |
issn | 1672-6316 1993-0321 1008-2786 |
language | eng |
recordid | cdi_proquest_journals_2640559545 |
source | Springer Nature |
subjects | Aggregation Analytic hierarchy process Biology Clustering Complexity Decision making Earth and Environmental Science Earth Sciences Ecology Environment Evaluation Exploitation Geographic information systems Geographical information systems Geographical locations Geography Hydrology Information processing Information systems Landscape Limiting factors Mountains Original Article Remote sensing Resource exploitation Resources Sustainable use Tourism Vacations |
title | Assessment on the component pattern of mountain vacation potential suitability in Hunan Province, China |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T04%3A13%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20on%20the%20component%20pattern%20of%20mountain%20vacation%20potential%20suitability%20in%20Hunan%20Province,%20China&rft.jtitle=Journal%20of%20mountain%20science&rft.au=Du,%20Ting-ting&rft.date=2022-03-01&rft.volume=19&rft.issue=3&rft.spage=892&rft.epage=908&rft.pages=892-908&rft.issn=1672-6316&rft.eissn=1993-0321&rft_id=info:doi/10.1007/s11629-021-7017-7&rft_dat=%3Cproquest_cross%3E2640559545%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c316t-c689b16a59bea70b344515159fe3c588d838cf5bc542fab00b5c5d11d807dd9a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2640559545&rft_id=info:pmid/&rfr_iscdi=true |