The impact of climate change on the outdoor tourism with a focus on the outdoor tourism climate index (OTCI) in Hormozgan province, Iran.

Theor Appl Climatol

Department of Geographical Sciences, Faculty of Humanities, University of Hormozgan, Bandar Abbas, Iran.

Published: October 2022

The aim of this study was to investigate the effects of climate change on the climate condition of outdoor tourists in Hormozgan province, Iran, through Outdoor Tourism Climate Index (OTCI). For this purpose, the data pertaining to 7 weather stations as well as 2 global climate models (GCMs) under 2.6 and 8.5 Representative Concentration Pathways (RCP) were applied. GCMs were statistically downscaled by the change factor (CF) approach. The findings illuminated that, based on OTCI, December, January, February, and March were regarded as the optimal months for the outdoor tourism activities. Nevertheless, for the concerned months, the range of OTCI score in twenty-first century is changing from 2 to - 12 regarding the base period (1980-2010). Mostly, the changes in OTCI score is predicted to occur at March, April, May, October, and November, whereas June would record the least. Moreover, Hajiabad and Kish stations in the North and South of the under-study area would encounter the most and least changes, respectively, in the future.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596344PMC
http://dx.doi.org/10.1007/s00704-022-04248-5DOI Listing

Publication Analysis

Top Keywords

outdoor tourism
16
climate change
8
tourism climate
8
climate otci
8
hormozgan province
8
province iran
8
otci score
8
outdoor
5
climate
5
otci
5

Similar Publications

With the rapid development of tourism, the concentration of visitor flows poses significant challenges for public safety management, especially in low-light and highly occluded environments, where existing pedestrian detection technologies often struggle to achieve satisfactory accuracy. Although infrared images perform well under low-light conditions, they lack color and detail, making them susceptible to background noise interference, particularly in complex outdoor environments where the similarity between heat sources and pedestrian features further reduces detection accuracy. To address these issues, this paper proposes the FusionU10 model, which combines information from both infrared and visible light images.

View Article and Find Full Text PDF

The Satisfaction With Life Scale (SWLS) is a widely used self-report measure of subjective well-being, but studies of its measurement invariance across a large number of nations remain limited. Here, we utilised the Body Image in Nature (BINS) dataset-with data collected between 2020 and 2022 -to assess measurement invariance of the SWLS across 65 nations, 40 languages, gender identities, and age groups (N = 56,968). All participants completed the SWLS under largely uniform conditions.

View Article and Find Full Text PDF

Introduction: Sport and outdoor activities have benefits on people's health and well-being but may also increase the frequency of unsustainable behaviors. The present study explores drivers of travel mode choice and consumption of material (clothes and equipment) associated with physical activity to clarify the extent to which an active and sustainable lifestyle is compatible. The role of identity and varying levels of internalized motivation for pro-environmental behaviors (autonomous and controlled environmental motivation) and engagement in physical activity (autonomous and controlled activity motivation) was examined.

View Article and Find Full Text PDF

Background: Sexual violence (SV) while travelling internationally is underreported and pre-travel advice is often focussed on broader tourist safety concerns. International travellers who experience sexual violence face particular challenges. The aim of this paper was to analyse the attendances of people who disclosed having been subjected to SV during international travel to the Sexual Assault Treatment Unit (SATU) network in the Republic of Ireland.

View Article and Find Full Text PDF
Article Synopsis
  • * This study explores how to improve visitor estimation using statistical models and digital mobility data from various sources such as social media and mobile devices.
  • * Findings indicate that combining multiple data sources leads to better visitor estimates, highlighting the importance of refuge-specific characteristics for improving model accuracy and consistency.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!