Describing and mapping where people experience tranquillity. An exploration based on interviews and Flickr photographs
Bibliographic Data
| ID | 8097421 |
|---|---|
| Authors | Flurina M Wartmann (0000-0003-4788-2963, University of Edinburgh, corresponding author), William Mackane (0000-0001-6581-5989, University of Edinburgh) |
| Year | 2020 |
| Volume | 45 |
| Issue | 5 |
| Pages | 662-681 |
| Publication date | 2020-05-13 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Landscape Research (JOURNAL) |
| Journal identifiers | ISSN: 0142-6397 • E-ISSN: 1469-9710 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/01426397.2020.1749250 |
| OpenAlex | W3024417132 |
| Language | EN |
| Citations received | 11 |
| References cited | 36 |
Protecting tranquil areas is becoming an important objective for landscape planning and management. In order to identify where people experience tranquillity, we developed a hybrid approach combining field-based interviews with an analysis of social media content in the form of photographs with associated tags and coordinates from the photo-sharing website Flickr. In a case study in the Loch Lomond and Trossachs National Park in Scotland, interviewed respondents reported high tranquillity ratings even when relatively close to roads and traffic noise. Mapping the distribution of Flickr photographs revealed that many people took photographs and tagged them with words related to tranquillity in easily accessible areas, often close to water bodies. Our results indicate that people find tranquillity in certain landscapes despite the presence of other people or traffic noise, which highlights the importance of taking into account tranquillity ‘as experienced’ for the purposes of planning and policy-making
Geography · Tranquillity · Geographies of human-animal interactions · Land Use and Ecosystem Services · Psychology · Wildlife-Road Interactions and Conservation
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| Unique citing works | 11 |
|---|---|
| Citations per year | 2,2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |