• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于土耳其地中海沿岸假日气候指数的综合方法。

A synthetic approach to the Holiday Climate Index for the Mediterranean Coast of Türkiye.

机构信息

Department of Tourism Administration, Boğaziçi University, 34342, Istanbul, Türkiye.

Center for Climate Change and Policy Studies, Boğaziçi University, 34342, Istanbul, Türkiye.

出版信息

Int J Biometeorol. 2024 Sep;68(9):1773-1787. doi: 10.1007/s00484-024-02704-7. Epub 2024 Jun 5.

DOI:10.1007/s00484-024-02704-7
PMID:38834880
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11461600/
Abstract

Climate change affects the comfort level of tourists visiting coastal areas. Researching these impacts is important for a more comprehensive understanding of climate change and for developing effective adaptation solutions. Considering this fact, the study derived the Holiday Climate Index (HCI: Coast, HCI: Urban, and HCI: Combined) in the Mediterranean coastal provinces of Türkiye from 1976 to 2020. Utilizing the derived indices, the effects of climate-related holiday comfort on the number of tourist arrivals as well as on overnight stays between 1976 and 2020 were examined by panel data analysis. The study examined how comfort patterns could change during the period 2026-2050 under the pessimistic RCP8.5 scenario. It was detected that the comfort level significantly and positively affects the number of arrivals and overnight stays of tourists. Besides, comfort levels were found to deteriorate in the period 2026-2050 compared to the reference period, 1976-2020. As the comfort conditions get worse, the number of tourist arrivals and overnight stays is expected to decline in the future. It is envisaged that the results of the study can be useful for tourists, tourism professionals, operators, other stakeholders, and policymakers.

摘要

气候变化影响着前往沿海地区旅游的游客的舒适度。研究这些影响对于更全面地了解气候变化以及制定有效的适应解决方案非常重要。有鉴于此,本研究利用 1976 年至 2020 年期间土耳其地中海沿海省份的数据,推导出了假日气候指数(HCI:沿海、HCI:城市和 HCI:综合)。利用推导出的指数,本研究通过面板数据分析,考察了气候相关假日舒适度对 1976 年至 2020 年期间游客人数和过夜住宿的影响。本研究还考察了在悲观的 RCP8.5 情景下,2026 年至 2050 年期间舒适模式可能发生的变化。研究结果表明,舒适度显著且积极地影响着游客的到达人数和过夜住宿。此外,与参考期 1976 年至 2020 年相比,在 2026 年至 2050 年期间,舒适度水平有所下降。随着舒适条件的恶化,未来游客的到达人数和过夜住宿预计将减少。预计该研究的结果对游客、旅游专业人士、运营商、其他利益相关者和政策制定者都将具有参考价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/cb60ab35a298/484_2024_2704_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/19d14c2891bc/484_2024_2704_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/8075c3139e7c/484_2024_2704_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/eb22b173e9bc/484_2024_2704_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/e1216a4ce7cc/484_2024_2704_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/e1df2e61c28f/484_2024_2704_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/cb60ab35a298/484_2024_2704_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/19d14c2891bc/484_2024_2704_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/8075c3139e7c/484_2024_2704_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/eb22b173e9bc/484_2024_2704_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/e1216a4ce7cc/484_2024_2704_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/e1df2e61c28f/484_2024_2704_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e32/11461600/cb60ab35a298/484_2024_2704_Fig6_HTML.jpg

相似文献

1
A synthetic approach to the Holiday Climate Index for the Mediterranean Coast of Türkiye.一种用于土耳其地中海沿岸假日气候指数的综合方法。
Int J Biometeorol. 2024 Sep;68(9):1773-1787. doi: 10.1007/s00484-024-02704-7. Epub 2024 Jun 5.
2
A comparison of the holiday climate index:beach and the tourism climate index across coastal destinations in China.假日气候指数:海滩与中国沿海目的地旅游气候指数的比较。
Int J Biometeorol. 2021 May;65(5):741-748. doi: 10.1007/s00484-020-01979-w. Epub 2020 Aug 5.
3
The climate comfort assessment for tourism purposes in Borobudur Temple Indonesia.印度尼西亚婆罗浮屠寺庙旅游用途的气候舒适度评估
Heliyon. 2020 Dec 28;6(12):e05828. doi: 10.1016/j.heliyon.2020.e05828. eCollection 2020 Dec.
4
Quantifying climatic suitability for tourism in Southwest Indian Ocean Tropical Islands: Applying the Holiday Climate Index to Réunion Island.量化西南印度洋热带岛屿旅游的气候适宜性:应用假日气候指数对留尼汪岛进行分析。
Int J Biometeorol. 2024 Sep;68(9):1717-1728. doi: 10.1007/s00484-024-02700-x. Epub 2024 May 14.
5
Assessing the impact of dust events on the Holiday Climate Index in the Taklimakan Desert region.评估尘暴事件对塔克拉玛干沙漠地区假日气候指数的影响。
Int J Biometeorol. 2024 Jun;68(6):1073-1079. doi: 10.1007/s00484-024-02645-1. Epub 2024 Mar 4.
6
Digital-Free Tourism Holiday as a New Approach for Tourism Well-Being: Tourists' Attributional Approach.数字免打扰旅游度假作为一种旅游幸福感的新方法:游客的归因方法。
Int J Environ Res Public Health. 2022 May 14;19(10):5974. doi: 10.3390/ijerph19105974.
7
Analysing daytime summer thermal comfort conditions for Turkey's third largest tourism destination.分析土耳其第三大旅游目的地的夏季日间热舒适条件。
Environ Sci Pollut Res Int. 2023 Apr;30(17):50046-50056. doi: 10.1007/s11356-023-25719-w. Epub 2023 Feb 14.
8
Attitudes of people toward climate change regarding the bioclimatic comfort level in tourism cities; evidence from Antalya, Turkey.人们对气候变化的态度与旅游城市生物气候舒适度的关系;来自土耳其安塔利亚的证据。
Environ Monit Assess. 2021 Jun 13;193(7):420. doi: 10.1007/s10661-021-09205-9.
9
Intensification of thermal risk in a changing climate: findings from prominent tourism destinations along the eastern Adriatic coast.气候变化中热风险的加剧:亚得里亚海东岸著名旅游目的地的研究结果
Int J Biometeorol. 2025 Jan;69(1):157-175. doi: 10.1007/s00484-024-02800-8. Epub 2024 Oct 14.
10
Evaluating the climate capabilities of the coastal areas of southeastern Iran for tourism: a case study on port of Chabahar.评估伊朗东南部沿海地区的气候对旅游业的影响:以恰巴哈尔港为例。
Int J Biometeorol. 2018 Jul;62(7):1135-1145. doi: 10.1007/s00484-018-1516-4. Epub 2018 Mar 14.

引用本文的文献

1
Identifying the tourism sector's exposure to climate change utilizing two different climate datasets: the case of three climatically diverse locations in Slovenia.利用两个不同的气候数据集确定旅游业对气候变化的暴露程度:以斯洛文尼亚三个气候多样的地点为例。
Int J Biometeorol. 2025 Jul;69(7):1541-1556. doi: 10.1007/s00484-025-02910-x. Epub 2025 May 1.
2
Projected climate suitability for Hungarian tourism in the 21st century: application of the Holiday Climate Index and modified Tourism Climate Index.21世纪匈牙利旅游业的预计气候适宜性:假日气候指数和修正后的旅游气候指数的应用。
Int J Biometeorol. 2025 Jun;69(6):1429-1442. doi: 10.1007/s00484-025-02901-y. Epub 2025 Apr 16.

本文引用的文献

1
A comparison of the holiday climate index:beach and the tourism climate index across coastal destinations in China.假日气候指数:海滩与中国沿海目的地旅游气候指数的比较。
Int J Biometeorol. 2021 May;65(5):741-748. doi: 10.1007/s00484-020-01979-w. Epub 2020 Aug 5.
2
Spatiotemporal drought variability in the Mediterranean over the last 900 years.过去900年地中海地区的时空干旱变化
J Geophys Res Atmos. 2016 Mar 16;121(5):2060-2074. doi: 10.1002/2015JD023929. Epub 2016 Feb 4.
3
Stabilization of global temperature at 1.5°C and 2.0°C: implications for coastal areas.
将全球温度稳定在1.5°C和2.0°C:对沿海地区的影响
Philos Trans A Math Phys Eng Sci. 2018 May 13;376(2119). doi: 10.1098/rsta.2016.0448.
4
A second generation climate index for tourism (CIT): specification and verification.第二代旅游气候指数(CIT):规范与验证
Int J Biometeorol. 2008 May;52(5):399-407. doi: 10.1007/s00484-007-0134-3. Epub 2007 Dec 20.