Impact of climate change on hiking
Quantitative evidence through big data mining
Bibliographic Data
| ID | 21698692 |
|---|---|
| Authors | Jun Liu (0000-0001-5393-3187, Tourism School, Sichuan University, Chengdu, People’s Republic of China), Luyu Yang (0000-0002-5639-8121, Tourism School, Sichuan University, Chengdu, People’s Republic of China), Haiyue Zhou (0000-0003-1243-620X, Tourism School, Sichuan University, Chengdu, People’s Republic of China), Shenghong Wang (0000-0003-0540-9609, Tourism School, Sichuan University, Chengdu, People’s Republic of China, corresponding author) |
| Year | 2021 |
| Volume | 24 |
| Issue | 21 |
| Pages | 3040-3056 |
| Publication date | 2021-11-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Current Issues in Tourism (JOURNAL) |
| Journal identifiers | ISSN: 1368-3500 • E-ISSN: 1747-7603 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13683500.2020.1858037 |
| OpenAlex | W3113230830 |
| Language | EN |
| Citations received | 17 |
| References cited | 66 |
This study measures quantitatively the impact of climate change on hiking across 100 cities in China by analyzing tourist-generated big data with a hybrid method involving the generalized additive model and segmented regression model. The results indicate that temperature, relative humidity, and sunshine duration influence hiking participation nonlinearly, with threshold effects. Results from a simulation study show that hiking in over 90% of the cities studied will be affected negatively by climate change in the future. The hiking duration will drop by 7.17% to 7.39% in 2050 and 7.16% to 7.57% in 2080 under RCP 4.5. The situation is even worse under RCP 8.5. We encourage the use of this approach among nations or regions with such available data for further research
Big data · China · Climate change · Econometrics · Geography · Meteorology · Regression analysis · Relative humidity · Statistics · Sunshine duration · Tourism · Air Quality and Health Impacts · Computer Science · Environmental Science · Impact of Light on Environment and Health · Mathematics · Urban Transport and Accessibility
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Generalized Additive Models
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Estimating regression models with unknown break‐points
Climatic Change in Mountain Regions
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The impact of climate change on demand of ski tourism - a simulation study based on stated preferences
The seasonal and scale-dependent associations between vegetation quality and hiking activities as a recreation service
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The Weather-Proximity-Cognition (WPC) framework
Tourist responses to climate change
Ski tourism in a warmer world
Global tourism vulnerability to climate change
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Forecasting campground demand in US national parks
Particularism vs. Universalism in Hiking Tourism
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| Unique citing works | 17 |
|---|---|
| Citations per year | 4,25 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 17 |