User preferences regarding forest trail infrastructure—implications for socially sensitive planning: A pilot study.

Opis bibliograficzny

User preferences regarding forest trail infrastructure—implications for socially sensitive planning: A pilot study. [AUT. KORESP.] AGATA KOBYŁKA, [AUT.] NATALIA KORCZ. Forests 2026 Vol. 17 Iss. 5 Articel number: 597, il., bibliogr., sum. DOI: 10.3390/f17050597
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Szczegóły publikacji

Źródło:
Forests 2026 Vol. 17 Iss. 5, Articel number: 597
Rok:2026
Język:Angielski
Charakter formalny:Artykuł w czasopismie
Typ MNiSW/MEiN:praca oryginalna

Streszczenia

Forests in Poland play a key recreational role, and the growing interest in sylvaturism requires optimized management. Despite the growing body of research on forest recreation, existing studies rarely address the role of small-scale infrastructure in shaping user preferences and its integration into spatial planning frameworks, which constitutes a research gap in this study. This study aimed to identify user preferences for small infrastructure and to develop an application-oriented, socially sensitive model for forest trail design that supports sustainable management. The research was conducted in 2021–2024 using the CAWI method on a group of 402 adult Poles. Data analysis included descriptive statistics, Pearson’s chi-square tests to assess demographic differences, and correspondence analysis to identify user preference profiles. The results not only confirmed a clear hierarchy of needs but also demonstrated that differences between user groups relate primarily to the intensity rather than the structure of preferences. A clear hierarchy of needs was confirmed, with route map boards (86.32%), educational boards (72.64%), and benches (71.14%) dominating. Based on the results, a modular design model was developed (modules: basic, comfort, accessibility, and activity), which constitutes a conceptual advancement over existing planning approaches by introducing a flexible, user-oriented framework that links social preferences with spatial decision-making. By integrating empirical social data into the planning process, the proposed framework extends current knowledge on recreation planning and provides a structured basis for adaptive forest trail design. This tool could help managers efficiently channel tourist traffic, protect ecosystems, and promote public health.

Open Access

Tryb dostępu:otwarte czasopismoWersja tekstu:ostateczna wersja opublikowanaLicencja: Creative Commons - Uznanie Autorstwa (CC-BY) Czas udostępnienia:w momencie opublikowania

Identyfikatory

BPP ID: (46, 53650) wydawnictwo ciągłe #53650

Metryki

100,00
Punkty MNiSW/MEiN
2,500
Impact Factor
Q2
WoS

Eksport cytowania

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Rekord utworzony:22 maja 2026 07:57
Ostatnia aktualizacja:22 maja 2026 07:57