Seeing through their eyes: Revealing recreationists ' landscape preferences through viewshed analysis and machine learning

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Lehto, CarlSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för ekologi,Department of Ecology (author)

Seeing through their eyes: Revealing recreationists ' landscape preferences through viewshed analysis and machine learning

Article/chapterEnglish2024

Publisher, publication year, extent ...

2024
Elsevier,2024

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LIBRIS-ID:oai:slubar.slu.se:130401
https://res.slu.se/id/publ/130401URI
https://doi.org/10.1016/j.landurbplan.2024.105097DOI

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Language:English
Summary in:English

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SwePubSwePub

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Subject category:ref swepub-contenttype
Subject category:art swepub-publicationtype

Notes

Planning for outdoor recreation requires knowledge about the needs and preferences of recreationists. While previous research has mainly relied on stated preferences, recent advances in spatial data collection and analysis have enabled the assessments of actual usage patterns. In this study, we explored how landscape characteristics interact with the attributes of recreationists to determine their area choice for recreation. Using a public participation GIS (PPGIS) approach we asked residents of a Swedish city in the boreal region to draw typical recreational routes and identify favourite places for recreation on a digital online map (1389 routes, 385 individuals). We employed a novel methodology, where LiDAR data was used to calculate what was visible along all routes and at favourite places (viewsheds) in order to more realistically capture the landscape that each recreationist had experienced. Using machine learning modelling, we compared landscape characteristics of experienced areas with areas available to each recreationist. Our novel approach yielded accurate models that revealed that water environments, recreational infrastructure and deciduous forests increased the probability of choosing an area for recreation, while urban environments, noise, forest clearcuts and young forests had the opposite effect. Characteristics of the recreationists such as age, gender, level of education, or of the activity, such as type of activity performed, did not meaningfully influence area choice. Our findings suggest that it is possible to improve the conditions for recreation by developing recreational infrastructure, maintaining recreation opportunities close to waters, and adapting forest management in areas important for recreation.

Subject headings and genre

NATURVETENSKAP Biologi Ekologi hsv//swe
NATURAL SCIENCES Biological Sciences Ecology hsv//eng
LANTBRUKSVETENSKAPER Lantbruksvetenskap, skogsbruk och fiske Landskapsarkitektur hsv//swe
AGRICULTURAL SCIENCES Agriculture, Forestry and Fisheries Landscape Architecture hsv//eng

Added entries (persons, corporate bodies, meetings, titles ...)

Hedblom, MarcusSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för stad och land,Department of Urban and Rural Development(Swepub:slu)49232 (author)
Filyushkina, AnnaSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för ekologi,Department of Ecology (author)
Ranius, ThomasSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för ekologi,Department of Ecology(Swepub:slu)50670 (author)
Sveriges lantbruksuniversitetInstitutionen för ekologi (creator_code:org_t)
Sveriges lantbruksuniversitet

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In:Landscape and Urban Planning2480169-20461872-6062

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By the author/editor: Lehto, Carl; Hedblom, Marcus; Filyushkina, Ann ...; Ranius, Thomas

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NATURAL SCIENCES: NATURAL SCIENCES; and Biological Scien ...; and Ecology

AGRICULTURAL SCIENCES: AGRICULTURAL SCI ...; and Agriculture Fore ...; and Landscape Archit ...

Articles in the publication: Landscape and Ur ...

By the university: Swedish University of Agricultural Sciences

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