What Kind of Recreational Infrastructure Encourages Forest Visits the Most? A Case Study of Poland
Abstract
:1. Introduction
- -
- What assortment of recreational infrastructure is sought by forest users?
- -
- Does the frequency of visits to forests affect forest users’ preferences for recreational infrastructure?
- -
- Which socio-demographic characteristics determine the choice of certain types of recreational infrastructure in forests?
2. Materials and Methods
2.1. The Questionnaire
- -
- What recreational infrastructure facilities do you think are missing in the forests? (Camping and tenting sites; recreational walking paths; playgrounds; bicycle paths; horseback riding paths; car parks; educational paths; picnic areas; environmental education points; viewpoints; resting points along recreational routes).
- -
- What recreational facilities do you think are missing in the forests? (Social facilities (e.g., toilets, trash garbage cans); sports facilities (e.g., gym fitness facilities); recreational facilities (e.g., shelters, benches); educational facilities (e.g., interpretative signs, educational panels; information facilities (road signs, signposts); playground facilities; protective facilities (barriers, fences)).
2.2. Participants
2.3. Statistic Analysis
3. Results
3.1. Demand for Elements of Recreational Management of the Forest
3.2. Factors Determining Respondents’ Preferences for Elements of Recreational Forest Management
3.3. Demand for Recreational Land Facilities
3.4. Factors Determining Respondents’ Preferences for Forest Recreational Facilities
4. Discussion
4.1. Demand for Recreational Forest-Management Elements
4.2. Determinants of Respondents’ Preferences for Forest Recreational Elements
4.3. Demand for Recreational Land Equipment
4.4. Determinants of Respondents’ Preferences for Forest Recreational Facilities
5. Conclusions
- Comprehensive strategies and plans are needed to expand recreational infrastructure in forests to encourage and support physical activity in nature, promoting the use of forests so that the public health benefits of contact with nature are fully utilized.
- These days, forest ecosystem services that provide health benefits are gaining in importance. Supporting these services can be the infrastructure design enabling physical activity—it is also important to promote infrastructure solutions supporting forest landscapes’ therapeutic role. Visitors should be encouraged to enjoy both physical and mental recreation. Creating infrastructure solutions to restore involuntary attention (Attention Restoration Theory) supports the restorative, healing potential of the forest landscape. In this context, special attention should be paid to the forest’s coastal zone, where forest stands meet other natural ecosystems—such as reservoirs-water, meadows and other open forestless areas.
- Recreational development of the forest should take into account the needs and expectations of visitors. Facilities are needed for a wide range of visitors, hikers, cyclists, and casual recreational walkers. Especially in the planning and design of recreational infrastructure, it is important to take into account the anticipated demographic trends and to give preference to solutions that are friendly to people with disabilities, in line with the expectations of seniors. Removing barriers to seniors’ access to forest land and strategic infrastructure planning can increase the effectiveness of recreational facilities in meeting public demand for nature-based recreation.
- In the vicinity of small and medium-sized cities and in rural areas, forests should be retrofitted with a network of bicycle and educational trails. Bikeways in forested areas can help integrate and improve the functioning of existing local bikeway networks, supporting active transportation and significantly increasing physical activity in the population. In the vicinity of large cities, existing recreational routes, especially walking paths, should be equipped with rest and welfare facilities, thereby increasing access and encouraging seniors to enjoy nature-based recreation.
- A form of encouraging young people to engage in outdoor activities in the forest can be sports infrastructure. Equipping forests with sports or social and living facilities can be a stimulus for increasing outdoor physical activity of people, especially those living a little farther from the forest and those who do not use the forest very often. It can be a form of promoting an active lifestyle, counteracting the phenomenon of nature deficit, and encouraging contact with nature.
6. Limitation
- We studied the influence of the distance of the place of residence from the forest on people’s opinions regarding recreational infrastructure. However, it would be worthwhile to determine how the housing conditions in which respondents live influence their opinion regarding forest recreational development. However, it seems that the needs for recreational infrastructure in the forest reported by owners of houses or bungalows/second homes in the vicinity of the forest may be different from the needs expressed by residents of multi-family houses, sometimes also built close to forests.
- Based on our research, there is a clear trend of treating forests in the vicinity of cities as if they were extensive park spaces (paths, rest points, restrooms, recreational glades, etc.). In future research, it would be worthwhile to see which elements of recreational infrastructure are preferred in urban parks and which in forest areas. Do urban residents understand the need for the different saturation of recreational infrastructure in parks and forests?
- Not much is known about the nature of recreational roads in forests. Our research does not provide information on the recommended length of recreational routes, the preferred surface, the number of resting places per km of route, etc., as well as the capacity of the route. It seems that in future studies, with the help of photographic material or graphic diagrams, a set of practical implications in this regard could be completed
- We still do not know much about the possibility of the use and importance of recreational infrastructure for the rapidly developing forest areas, such as forest bathing, meditation, yoga, etc. Can recreational infrastructure support forest therapy? To what extent?
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Appendix A.1. Logit Models of Recreational Infrastructure’s Importance in Forest
Infrastructure | Variable | Coefficient | p Value | Statistics t | Wald’s χ2 | Odds Ratio |
Camping and tent fields | intercept | −2.026 | 0.000 | −7.00 | 48.95 | 0.13 |
men | 0.332 | 0.017 | 2.39 | 5.73 | 1.39 | |
daily | 0.179 | 0.440 | 0.77 | 0.60 | 1.20 | |
several times a week | 0.127 | 0.414 | 0.82 | 0.67 | 1.14 | |
<30 years | 0.613 | 0.001 | 3.49 | 12.17 | 1.85 | |
village | 0.088 | 0.577 | 0.56 | 0.31 | 1.09 | |
big-city residents | 0.348 | 0.093 | 1.68 | 2.83 | 1.42 | |
primary | −0.164 | 0.671 | −0.43 | 0.18 | 0.85 | |
higher education | −0.147 | 0.323 | −0.99 | 0.98 | 0.86 | |
families without children | 0.344 | 0.042 | 2.04 | 4.16 | 1.41 | |
satisfied | 0.124 | 0.438 | 0.78 | 0.60 | 1.13 | |
up to 3 km | 0.036 | 0.877 | 0.16 | 0.02 | 1.04 | |
3–6 km | −0.029 | 0.907 | −0.12 | 0.01 | 0.97 | |
6–10 km | −0.516 | 0.089 | −1.70 | 2.89 | 0.60 | |
Recreational walking paths | intercept | 0.493 | 0.040 | 2.06 | 4.24 | 1.64 |
men | 0.121 | 0.297 | 1.04 | 1.09 | 1.13 | |
daily | 0.278 | 0.173 | 1.36 | 1.86 | 1.32 | |
several times a week | 0.063 | 0.621 | 0.49 | 0.24 | 1.07 | |
<30 years | 0.225 | 0.158 | 1.41 | 2.00 | 1.25 | |
village | 0.198 | 0.134 | 1.50 | 2.25 | 1.22 | |
big-city residents | 0.224 | 0.214 | 1.24 | 1.55 | 1.25 | |
primary | 0.261 | 0.458 | 0.74 | 0.55 | 1.30 | |
higher education | −0.070 | 0.586 | −0.54 | 0.30 | 0.93 | |
families without children | −0.084 | 0.561 | −0.58 | 0.34 | 0.92 | |
satisfied | 0.049 | 0.719 | 0.36 | 0.13 | 1.05 | |
up to 3 km | −0.012 | 0.954 | −0.06 | 0.00 | 0.99 | |
3–6 km | −0.158 | 0.452 | −0.75 | 0.57 | 0.85 | |
6–10 km | −0.109 | 0.645 | −0.46 | 0.21 | 0.90 | |
Playgrounds | intercept | −2.797 | 0.000 | −5.46 | 29.79 | 0.06 |
men z | −0.148 | 0.535 | −0.62 | 0.39 | 0.86 | |
daily | −0.182 | 0.659 | −0.44 | 0.19 | 0.83 | |
several times a week | −0.473 | 0.074 | −1.79 | 3.19 | 0.62 | |
village | −0.200 | 0.475 | −0.71 | 0.51 | 0.82 | |
big-city residents | 0.461 | 0.172 | 1.37 | 1.87 | 1.59 | |
primary | 0.325 | 0.623 | 0.49 | 0.24 | 1.38 | |
higher education | −0.558 | 0.029 | −2.18 | 4.77 | 0.57 | |
satisfied | −0.130 | 0.635 | −0.48 | 0.23 | 0.88 | |
up to 3 km | 0.181 | 0.661 | 0.44 | 0.19 | 1.20 | |
3–6 km | 0.529 | 0.183 | 1.33 | 1.77 | 1.70 | |
6–10 km | −0.173 | 0.738 | −0.34 | 0.11 | 0.84 | |
>50 years | −3.201 | 0.002 | −3.15 | 9.95 | 0.04 | |
families with children | 1.028 | 0.000 | 3.66 | 13.39 | 2.80 | |
Bicycle paths | intercept | −0.889 | 0.000 | −4.91 | 24.14 | 0.41 |
men | 0.124 | 0.268 | 1.11 | 1.23 | 1.13 | |
higher education | 0.212 | 0.082 | 1.74 | 3.02 | 1.24 | |
>10 km | 0.248 | 0.137 | 1.49 | 2.21 | 1.28 | |
families without children | 0.019 | 0.872 | 0.16 | 0.03 | 1.02 | |
village | 0.346 | 0.003 | 2.96 | 8.75 | 1.41 | |
several times a week | 0.088 | 0.476 | 0.71 | 0.51 | 1.09 | |
satisfied | 0.071 | 0.587 | 0.54 | 0.30 | 1.07 | |
>50 years | −0.273 | 0.084 | −1.73 | 3.00 | 0.76 | |
daily | −0.181 | 0.338 | −0.96 | 0.92 | 0.83 | |
Paths for horse back riding | intercept | −2.133 | 0.000 | −7.14 | 50.94 | 0.12 |
men | 0.044 | 0.825 | 0.22 | 0.05 | 1.05 | |
higher education | −0.267 | 0.203 | −1.27 | 1.62 | 0.77 | |
>10 km | 0.003 | 0.986 | 0.02 | 0.00 | 1.00 | |
families without children | −0.209 | 0.324 | −0.99 | 0.97 | 0.81 | |
village | 0.174 | 0.392 | 0.86 | 0.73 | 1.19 | |
several times a week | 0.222 | 0.321 | 0.99 | 0.98 | 1.25 | |
satisfied | −0.377 | 0.081 | −1.74 | 3.04 | 0.69 | |
>50 years | −0.433 | 0.142 | −1.47 | 2.16 | 0.65 | |
daily | 0.393 | 0.208 | 1.26 | 1.59 | 1.48 | |
Parking lots and parking spaces | intercept | −1.450 | 0.000 | −6.53 | 42.66 | 0.23 |
men | 0.355 | 0.010 | 2.57 | 6.62 | 1.43 | |
higher education | 0.115 | 0.440 | 0.77 | 0.60 | 1.12 | |
>10 km | 0.067 | 0.737 | 0.34 | 0.11 | 1.07 | |
families without children | −0.008 | 0.963 | −0.05 | 0.00 | 0.99 | |
village | 0.096 | 0.505 | 0.67 | 0.45 | 1.10 | |
several times a week | −0.217 | 0.145 | −1.46 | 2.13 | 0.80 | |
satisfied | −0.129 | 0.413 | −0.82 | 0.67 | 0.88 | |
>50 years | 0.441 | 0.012 | 2.51 | 6.28 | 1.55 | |
daily | −0.399 | 0.089 | −1.70 | 2.90 | 0.67 | |
<30 years | −0.345 | 0.083 | −1.74 | 3.01 | 0.71 | |
Educational paths | intercept | −1.467 | 0.000 | −6.83 | 46.68 | 0.23 |
higher education | 0.035 | 0.813 | 0.24 | 0.06 | 1.04 | |
>10 km | −0.050 | 0.822 | −0.22 | 0.05 | 0.95 | |
families without children | 0.190 | 0.266 | 1.11 | 1.24 | 1.21 | |
several times a week | 0.021 | 0.892 | 0.14 | 0.02 | 1.02 | |
satisfied | −0.123 | 0.431 | −0.79 | 0.62 | 0.88 | |
>50 years | −0.163 | 0.409 | −0.83 | 0.68 | 0.85 | |
daily | 0.025 | 0.910 | 0.11 | 0.01 | 1.03 | |
<30 years | −0.258 | 0.177 | −1.35 | 1.82 | 0.77 | |
women | 0.421 | 0.002 | 3.09 | 9.54 | 1.52 | |
big-city residents | −0.429 | 0.054 | −1.93 | 3.73 | 0.65 | |
Rest and picnic areas | intercept | −1.532 | 0.000 | −6.32 | 39.89 | 0.22 |
higher education | 0.102 | 0.469 | 0.72 | 0.52 | 1.11 | |
>10 km | −0.400 | 0.057 | −1.90 | 3.62 | 0.67 | |
several times a week | −0.199 | 0.153 | −1.43 | 2.05 | 0.82 | |
satisfied | −0.018 | 0.906 | −0.12 | 0.01 | 0.98 | |
>50 years | 0.011 | 0.955 | 0.06 | 0.00 | 1.01 | |
daily | −0.374 | 0.088 | −1.71 | 2.91 | 0.69 | |
<30 years | 0.463 | 0.009 | 2.60 | 6.75 | 1.59 | |
women | 0.187 | 0.144 | 1.46 | 2.14 | 1.21 | |
big-city residents | 0.293 | 0.112 | 1.59 | 2.52 | 1.34 | |
families with children | 0.346 | 0.037 | 2.09 | 4.36 | 1.41 | |
Centers/points for environmental education (16.9) | intercept | −2.909 | 0.000 | −8.12 | 65.92 | 0.05 |
higher education | 0.004 | 0.977 | 0.03 | 0.00 | 1.00 | |
>10 km | 0.086 | 0.766 | 0.30 | 0.09 | 1.09 | |
several times a week | 0.030 | 0.887 | 0.14 | 0.02 | 1.03 | |
satisfied | 0.253 | 0.277 | 1.09 | 1.18 | 1.29 | |
>50 years | −0.463 | 0.110 | −1.60 | 2.56 | 0.63 | |
daily | 0.082 | 0.795 | 0.26 | 0.07 | 1.09 | |
<30 years | −0.026 | 0.921 | −0.10 | 0.01 | 0.97 | |
women | 0.348 | 0.067 | 1.83 | 3.36 | 1.42 | |
big-city residents | 0.096 | 0.727 | 0.35 | 0.12 | 1.10 | |
families with children | 0.378 | 0.123 | 1.54 | 2.39 | 1.46 | |
Viewpoints | intercept | −1.389 | 0.000 | −6.72 | 45.13 | 0.25 |
higher education | 0.231 | 0.075 | 1.78 | 3.17 | 1.26 | |
several times a week | 0.105 | 0.432 | 0.79 | 0.62 | 1.11 | |
satisfied | 0.280 | 0.050 | 1.96 | 3.84 | 1.32 | |
>50 years | −0.001 | 0.978 | −0.03 | 0.00 | 1.00 | |
daily | 0.158 | 0.436 | 0.78 | 0.61 | 1.17 | |
<30 years | 0.145 | 0.360 | 0.91 | 0.84 | 1.16 | |
women | −0.195 | 0.103 | −1.63 | 2.66 | 0.82 | |
big-city residents | −0.116 | 0.503 | −0.67 | 0.45 | 0.89 | |
families without children | 0.465 | 0.002 | 3.16 | 10.00 | 1.59 | |
up to 3 km | −0.011 | 0.947 | −0.07 | 0.00 | 0.99 | |
3–6 km | −0.047 | 0.789 | −0.27 | 0.07 | 0.95 | |
Resting points along recreational routes | intercept | −1.600 | 0.000 | −7.57 | 57.37 | 0.20 |
higher education | 0.017 | 0.908 | 0.12 | 0.01 | 1.02 | |
several times a week | 0.184 | 0.202 | 1.28 | 1.63 | 1.20 | |
satisfied | 0.047 | 0.762 | 0.30 | 0.09 | 1.05 | |
>50 years | 0.379 | 0.029 | 2.18 | 4.75 | 1.46 | |
daily | 0.092 | 0.676 | 0.42 | 0.17 | 1.10 | |
women | 0.055 | 0.676 | 0.42 | 0.17 | 1.06 | |
big city residents | 0.373 | 0.035 | 2.11 | 4.45 | 1.45 | |
3–6 km | −0.032 | 0.837 | −0.21 | 0.04 | 0.97 | |
families with children | −0.014 | 0.926 | −0.09 | 0.01 | 0.99 | |
Significant variables in the model are marked in bold. |
Appendix A.2
Appendix A.3. Logit Models of Recreational Facilities’ Importance in Forest
Facilities | Variable | Coefficient | p Value | Statistics t | Wald’s χ2 | Odds Ratio |
Welfare | intercept | −0.028 | 0.886 | −0.14 | 0.02 | 0.97 |
men | −0.071 | 0.514 | −0.65 | 0.43 | 0.93 | |
several times a week | −0.098 | 0.366 | −0.90 | 0.82 | 0.91 | |
<30 years | 0.245 | 0.098 | 1.66 | 2.74 | 1.28 | |
big-city residents | 0.017 | 0.916 | 0.11 | 0.01 | 1.02 | |
higher education | 0.033 | 0.782 | 0.28 | 0.08 | 1.03 | |
satisfied | −0.115 | 0.361 | −0.91 | 0.83 | 0.89 | |
>10 km | 0.165 | 0.329 | 0.98 | 0.95 | 1.18 | |
with children | 0.278 | 0.042 | 2.03 | 4.13 | 1.32 | |
Sports | intercept | −1.933 | 0.000 | −9.35 | 87.35 | 0.14 |
men | 0.038 | 0.794 | 0.26 | 0.07 | 1.04 | |
several times a week | 0.299 | 0.045 | 2.01 | 4.03 | 1.35 | |
<30 years | 0.602 | 0.002 | 3.13 | 9.77 | 1.83 | |
big-city residents | −0.144 | 0.535 | −0.62 | 0.38 | 0.87 | |
higher education | −0.045 | 0.772 | −0.29 | 0.08 | 0.96 | |
without children | 0.071 | 0.705 | 0.38 | 0.14 | 1.07 | |
satisfied | 0.037 | 0.825 | 0.22 | 0.05 | 1.04 | |
>10 km | −0.715 | 0.012 | −2.50 | 6.27 | 0.49 | |
Recreational | intercept | 0.084 | 0.665 | 0.43 | 0.19 | 1.09 |
men | 0.055 | 0.614 | 0.50 | 0.25 | 1.06 | |
several times a week | 0.011 | 0.915 | 0.11 | 0.01 | 1.01 | |
<30 years | −0.096 | 0.517 | −0.65 | 0.42 | 0.91 | |
big-city residents | 0.274 | 0.088 | 1.71 | 2.91 | 1.32 | |
higher education | −0.113 | 0.333 | −0.97 | 0.94 | 0.89 | |
satisfied | −0.046 | 0.720 | −0.36 | 0.13 | 0.96 | |
>10 km | −0.344 | 0.044 | −2.02 | 4.06 | 0.71 | |
with children | −0.192 | 0.162 | −1.40 | 1.96 | 0.83 | |
Educational | intercept | −1.134 | 0.000 | −4.92 | 24.18 | 0.32 |
men | 0.066 | 0.611 | 0.51 | 0.26 | 1.07 | |
several times a week | 0.017 | 0.898 | 0.13 | 0.02 | 1.02 | |
<30 years | −0.010 | 0.954 | −0.06 | 0.00 | 0.99 | |
big-city residents | 0.082 | 0.651 | 0.45 | 0.21 | 1.09 | |
satisfied | −0.021 | 0.893 | −0.13 | 0.02 | 0.98 | |
with children i | −0.131 | 0.415 | −0.82 | 0.66 | 0.88 | |
primary | −1.152 | 0.030 | −2.17 | 4.70 | 0.32 | |
up to 3 km | 0.009 | 0.947 | 0.07 | 0.00 | 1.01 | |
>50 l | −0.201 | 0.288 | −1.06 | 1.13 | 0.82 | |
Playground equipment | intercept | −2.408 | 0.000 | −8.87 | 78.75 | 0.09 |
men | −0.258 | 0.176 | −1.35 | 1.83 | 0.77 | |
several times a week | 0.084 | 0.662 | 0.44 | 0.19 | 1.09 | |
big-city residents | −0.237 | 0.393 | −0.85 | 0.73 | 0.79 | |
satisfied | 0.019 | 0.928 | 0.09 | 0.01 | 1.02 | |
primary | 0.784 | 0.093 | 1.68 | 2.83 | 2.19 | |
up to 3 km | −0.652 | 0.001 | −3.26 | 10.60 | 0.52 | |
30–40 years | 0.600 | 0.002 | 3.06 | 9.38 | 1.82 | |
1–2 children | 0.443 | 0.024 | 2.26 | 5.09 | 1.56 | |
Information | intercept | −0.706 | 0.000 | −4.30 | 18.47 | 0.49 |
men | −0.170 | 0.121 | −1.55 | 2.40 | 0.84 | |
several times a week | 0.039 | 0.723 | 0.35 | 0.13 | 1.04 | |
big-city residents | 0.273 | 0.079 | 1.76 | 3.09 | 1.31 | |
satisfied | 0.201 | 0.117 | 1.57 | 2.46 | 1.22 | |
up to 3 km | 0.257 | 0.023 | 2.27 | 5.17 | 1.29 | |
30–40 years | −0.285 | 0.019 | −2.35 | 5.51 | 0.75 | |
higher education | 0.297 | 0.013 | 2.47 | 6.12 | 1.35 | |
without children | 0.240 | 0.035 | 2.11 | 4.44 | 1.27 | |
Security | intercept | −1.600 | 0.000 | −7.47 | 55.73 | 0.20 |
men | 0.359 | 0.016 | 2.41 | 5.80 | 1.43 | |
several times a week | 0.069 | 0.639 | 0.47 | 0.22 | 1.07 | |
big-city residents | −0.302 | 0.173 | −1.36 | 1.86 | 0.74 | |
satisfied | −0.119 | 0.480 | −0.71 | 0.50 | 0.89 | |
up to 3 km | −0.244 | 0.106 | −1.62 | 2.62 | 0.78 | |
30–40 years | 0.207 | 0.192 | 1.30 | 1.70 | 1.23 | |
higher education | −0.080 | 0.614 | −0.50 | 0.25 | 0.92 | |
without children | −0.124 | 0.425 | −0.80 | 0.64 | 0.88 | |
Significant variables in the model are marked in bold. |
Appendix A.4
References
- Konijnendijk, C.C. A decade of urban forestry in Europe. For. Policy Econ. 2003, 5, 173–186. [Google Scholar] [CrossRef]
- Eriksson, L. Exploring underpinnings of forest conflicts: A study of forest values and beliefs in the general public and among private forest owners in Sweden. Soc. Nat. Resour. 2012, 25, 1102–1117. [Google Scholar] [CrossRef]
- Bang, K.-S.; Kim, S.; Song, M.K.; Kang, K.I.; Jeong, Y. The Effects of a Health Promotion Program Using Urban Forests and Nursing Student Mentors on the Perceived and Psychological Health of Elementary School Children in Vulnerable Populations. Int. J. Environ. Res. Public Health 2018, 15, 1977. [Google Scholar] [CrossRef]
- Janeczko, E.; Banaś, J.; Woźnicka, M.; Zięba, S.; Banaś, K.U.; Janeczko, K.; Fialova, J. Sociocultural Profile as a Predictor of Perceived Importance of Forest Ecosystem Services: A Case Study from Poland. Sustainability 2023, 15, 14154. [Google Scholar] [CrossRef]
- Nastran, M.; Pintar, M.; Železnikar, Š.; Cvejić, R. Stakeholders’ Perceptions on the Role of Urban Green Infrastructure in Providing Ecosystem Services for Human Well-Being. Land 2022, 11, 299. [Google Scholar] [CrossRef]
- Janeczko, E.; Czyżyk, K.; Woźnicka, M.; Dudek, T.; Fialova, J.; Korcz, N. The Importance of Forest Management in Psychological Restoration: Exploring the Effects of Landscape Change in a Suburban Forest. Land 2024, 13, 1439. [Google Scholar] [CrossRef]
- Chen, Y.-C.; Tsai, F.C.; Tsai, M.-J.; Liu, W.-Y. Recreational Visit to Suburban Forests during the COVID-19 Pandemic: A Case Study of Taiwan. Forests 2022, 13, 1181. [Google Scholar] [CrossRef]
- Baranowska, M.; Koprowicz, A.; Korzeniewicz, R. Społeczne znaczenie lasu–raport z badań pilotażowych prowadzonych w okresie pandemii. Sylwan 2021, 165, 149–156. [Google Scholar] [CrossRef]
- Bulfone, T.C.; Malekinejad, M.; Rutherford, G.W.; Razani, N. Outdoor Transmission of SARS-CoV-2 and Other Respiratory Viruses: A Systematic Review. J. Infect. Dis. 2021, 223, 550–561. [Google Scholar] [CrossRef]
- Liang, H.; Wu, Z. The Role of Single Landscape Elements in Enhancing Landscape Aesthetics and the Sustainable Tourism Experience: A Case Study of Leisure Furniture. Sustainability 2024, 16, 10219. [Google Scholar] [CrossRef]
- Wielgus, K. Preservation and Formation of Engineering Works in the Landscape—The Scope of the Issues; Landscape Architecture and Urban Planning; Cracow University of Technology: Cracow, Poland, 2001. [Google Scholar]
- Communication from the Commission Agenda for a Sustainable and Competitive European Tourism. Document 52007DC0621. Available online: https://eur-lex.europa.eu/legal-content/PL/TXT/?uri=celex%3A52007DC0621 (accessed on 16 March 2025).
- Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions Europe, the World’s No 1 Tourist Destination—A New Political Framework for Tourism in Europe. Document 52010DC0352. Available online: https://eur-lex.europa.eu/legal-content/PL/ALL/?uri=CELEX%3A52010DC0352 (accessed on 16 March 2025).
- Communication from the Commission—A Renewed EU Tourism Policy-Towards a Stronger Partnership for European Tourism. Document 52006DC0134. Available online: https://eur-lex.europa.eu/legal-content/pl/HIS/?uri=CELEX:52006DC0134 (accessed on 16 March 2025).
- A New EU Forest Strategy for 2030–Sustainable Forest Management in Europe. Available online: https://oeil.secure.europarl.europa.eu/oeil/en/procedure-file?reference=2022/2016(INI) (accessed on 16 March 2025).
- Wilkes-Allemann, J.; Pütz, M.; Hirschi, C. Governance of Forest Recreation in Urban Areas: Analysing the role of stakeholders and institutions using the institutional analysis and development framework. Environ. Pol. Gov. 2015, 25, 139–156. [Google Scholar] [CrossRef]
- Arnberger, A. Recreation Use of Urban Forests: An Inter-Area Comparison. Urban For. Urban Green. 2006, 4, 135. [Google Scholar] [CrossRef]
- Janeczko, E.; Wójcik, R.; Kędziora, W.; Janeczko, K.; Woźnicka, M. Organised Physical Activity in the Forests of the Warsaw and Tricity Agglomerations, Poland. Int. J. Environ. Res. Public Health 2019, 16, 3961. [Google Scholar] [CrossRef]
- Weinbrenner, H.; Breithut, J.; Hebermehl, W.; Kaufmann, A.; Klinger, T.; Palm, T.; Wirth, K. “The Forest Has Become Our New Living Room”–The Critical Importance of Urban Forests During the COVID-19 Pandemic. Front. For. Glob. Change 2021, 4, 672909. [Google Scholar] [CrossRef]
- Mitchell, R. Is physical activity in natural environments better for mental health than physical activity in other environments? Soc. Sci. Med. 2013, 91, 130–134. [Google Scholar] [CrossRef]
- Bowler, D.E.; Buyung-Ali, L.M.; Knight, T.M.; Pullin, A.S. A systematic review of evidence for the added benefits to health of exposure to natural environments. BMC Public Health 2010, 10, 456. [Google Scholar] [CrossRef]
- Kaczynski, A.T.; Besenyi, G.M.; Stanis, S.A.; Koohsari, M.J.; Oestman, K.B.; Bergstrom, R.; Potwarka, L.R.; Reis, R.S. Are park proximity and park features related to park use and park-based physical activity among adults? Variations by multiple socio-demographic characteristics. Int. J. Behav. Nutr. Phys. Act. 2014, 11, 146. [Google Scholar] [CrossRef]
- Chastin, S.F.; Fitzpatrick, N.; Andrews, M.; DiCroce, N. Determinants of sedentary behavior, motivation, barriers and strategies to reduce sitting time in older women: A qualitative investigation. Int. J. Environ. Res. Public Health 2014, 11, 773–791. [Google Scholar] [CrossRef] [PubMed]
- Oreskovic, N.M.; Perrin, J.M.; Robinson, A.I.; Locascio, J.J.; Blossom, J.; Chen, M.L.; Winickoff, J.P.; Field, A.E.; Green, C.; Goodman, E. Adolescents’ use of the built environment for physical activity. BMC Public Health 2015, 15, 251. [Google Scholar] [CrossRef]
- Kaczynski, A.T.; Henderson, K.A. Parks and recreation settings and active living: A review of associations with physical activity function and intensity. J. Phys. Act. Health 2008, 5, 619–632. [Google Scholar] [CrossRef]
- Smith, B.; Mackenzie-Stewart, R.; Newton, F.; Haregu, T.; Bauman, A.; Donovan, R.; Mahal, A.; Ewing, M.; Newton, J. A longitudinal study examining uptake of new recreation infrastructure by inactive adults. Int. J. Behav. Nutr. Phys. Act. 2019, 16, 59. [Google Scholar] [CrossRef] [PubMed]
- Janeczko, E.; Tomusiak, R.; Woźnicka, M.; Janeczko, K. Preferencje społeczne dotyczące biegania jako formy aktywnego spędzania czasu wolnego w lasach. Sylwan 2018, 162, 305–313. [Google Scholar] [CrossRef]
- Yu, W.; Hu, H.; Sun, B. Elderly Suitability of Park Recreational Space Layout Based on Visual Landscape Evaluation. Sustainability 2021, 13, 6443. [Google Scholar] [CrossRef]
- Nahuelhual, L.; Carmona, A.; Lozada, P.; Jaramillo, A.; Aguayo, M. Mapping recreation and ecotourism as a cultural ecosystem service: An application at the local level in Southern Chile. Appl. Geogr. 2013, 40, 71–82. [Google Scholar] [CrossRef]
- Peña, L.; Casado-Arzuaga, I.; Onaindia, M. Mapping recreation supply and demand using an ecological and a social evaluation approach. Ecosyst. Serv. 2015, 13, 108–118. [Google Scholar] [CrossRef]
- Vigl, L.E.; Depellegrin, D.; Pereira, P.; de Groot, R.; Tappeiner, U. Mapping the ecosystem service delivery chain: Capacity, flow, and demand pertaining to aesthetic experiences in mountain landscapes. Sci. Total Environ. 2017, 574, 422–436. [Google Scholar] [CrossRef] [PubMed]
- Kulczyk, S.; Woźniak, E.; Derek, M. Landscape, facilities and visitors: An integrated model of recreational ecosystem services. Ecosyst. Serv. 2018, 31, 491–501. [Google Scholar] [CrossRef]
- De Meo, I.; Alfano, A.; Cantiani, M.G.; Paletto, A. The Impact of the COVID-19 Pandemic on Citizens’ Attitudes and Behaviors in the Use of Peri-Urban Forests: An Experience from Italy. Sustainability 2023, 15, 2852. [Google Scholar] [CrossRef]
- Polityka Leśna Państwa. Dokument Przyjęty Przez Radę Ministrów w Dniu 22 Kwietnia 1997 r. Ministerstwo Ochrony Środowiska Zasobów Naturalnych i Leśnictwa, Warszawa. 1997. Available online: https://www.katowice.lasy.gov.pl/c/document_library/get_file?uuid=506deebb-988d-4665-bcd9-148fcf66ee02&groupId=26676 (accessed on 15 March 2025).
- Crisp, B.R.; Swerissen, H.; Duckett, S.J. Four approaches to capacity building in health: Consequences for measurement and accountability. Health Promot. Int. 2000, 15, 99–107. [Google Scholar] [CrossRef]
- Bricker, K.S.; Winter, P.L.; Schultz, J.R. Health, economy, and community: USDA Forest Service managers’ perspectives on sustainable outdoor recreation. Rural Connect. 2010, 5, 38–42. [Google Scholar]
- Selin, S. Operationalizing sustainable recreation across the National Forest System: A qualitative content analysis of six regional strategies. J. Park Recreat. Adm. 2017, 35, 35–47. [Google Scholar] [CrossRef]
- Wilkes-Allemann, J.; Hanewinkel, M.; Pütz, M. Forest recreation as a governance problem: Four case studies from Switzerland. Eur. J. Forest Res. 2017, 136, 511–526. [Google Scholar] [CrossRef]
- Bell, S.; Tyrväinen, L.; Sievänen, T.; Pröbstl, U.; Simpson, M. Outdoor Recreation and Nature Tourism: A European Perspective. Living Rev. Landscape Res. 2007, 1, 2. [Google Scholar] [CrossRef]
- Hegetschweiler, K.T.; Wartmann, F.M.; Dubernet, I.; Fischer, C.; Hunziker, M. Urban forest usage and perception of ecosystem services—A comparison between teenagers and adults. Urban For. Urban Green 2022, 74, 127624. [Google Scholar] [CrossRef]
- Jaligot, R.; Hasler, S.; Chenal, J. National assessment of cultural ecosystem services: Participatory mapping in Switzerland. Ambio 2019, 48, 1219–1233. [Google Scholar] [CrossRef]
- Martín-López, B.; Iniesta-Arandia, I.; García-Llorente, M.; Palomo, I.; Casado-Arzuaga, I.; Del Amo, D.G.; Gómez-Baggethun, E.; Oteros-Rozas, E.; Palacios-Agundez, I.; Willaarts, B.; et al. Uncovering Ecosystem Service Bundles through Social Preferences. PLoS ONE 2012, 7, e38970. [Google Scholar] [CrossRef] [PubMed]
- Plieninger, T.; Bieling, C.; Ohnesorge, B.; Schaich, H.; Schleyer, C.; Wolff, F. Exploring Futures of Ecosystem Services in Cultural Landscapes through Participatory Scenario Development in the Swabian Alb, Germany. Ecol. Soc. 2013, 18, 39. [Google Scholar] [CrossRef]
- Riechers, M.; Barkmann, J.; Tscharntke, T. Diverging perceptions by social groups on cultural ecosystem services provided by urban green. Landsc Urban Plan 2018, 175, 161–168. [Google Scholar] [CrossRef]
- Frick, J.; Bauer, N.; Lindern, E.; Hunziker, M. What forest is in the light of people’s perceptions and values: Socio-cultural forest monitoring in Switzerland. Geogr. Helv. 2018, 73, 335–345. [Google Scholar] [CrossRef]
- Hilbe, J.M. Logistic Regression Models; CRC Press: Boca Raton, FL, USA, 2009; ISBN 1420075772. [Google Scholar]
- Hosmer, D.; Lemeshow, S. Applied Logistic Regression; John Wiley & Sons: Hoboken, NJ, USA, 2000. [Google Scholar]
- Mandziuk, A.; Fornal-Pieniak, B.; Stangierska, D.; Widera, K.; Bihunova, M.; Arsenio, P.M.R.; Janeczko, E.; Żarska, B.; Parzych, S. Attitudes toward paying for recreation in urban forests: A comparison between Warsaw and Lisbon’s young populations. Forests 2025, 16, 188. [Google Scholar] [CrossRef]
- Verlič, A.; Arnberger, A.; Japelj, A.; Simončič, P.; Pirnat, J. Perceptions of recreational trail impacts on an urban forest walk: A controlled field experiment. Urban For. Urban Green. 2015, 14, 89–98. [Google Scholar] [CrossRef]
- Janeczko, E.; Woźnicka, M.; Tomusiak, R.; Dawidziuk, A.; Kargul-Plewa, D.; Janeczko, K. Preferencje społeczne dotyczące rekreacji w lasach Mazowieckiego Parku Krajobrazowego w roku 2000 i 2012. Sylwan 2017, 161, 422–429. [Google Scholar] [CrossRef]
- Fialová, J.; Březina, D.; Žižlavská, N.; Michal, J.; Machar, I. Assessment of Visitor Preferences and Attendance to Singletrails in the Moravian Karst for the Sustainable Development Proposals. Sustainability 2019, 11, 3560. [Google Scholar] [CrossRef]
- Neuvonen, M.; Sievänen, T. Outdoor Recreation Statistics 2010. 2011. Available online: https://jukuri.luke.fi/handle/10024/536119 (accessed on 25 March 2025).
- Kikulski, J. Preferencje rekreacyjne i potrzeby zagospodarowania rekreacyjnego lasów nadleśnictw Iławą i Dąbrowa (wyniki pierwszej części badań). Sylwan 2008, 5, 60–71. [Google Scholar]
- Jensen, F.S. Landscape managers’ and politicians’ perception of the forest and landscape preferences of the population. For. Landsc. Res. 1993, 1, 79–93. [Google Scholar]
- Reichhart, T.; Arnberger, A. Exploring the influence of speed, social, managerial and physical factors on shared trail preferences using a 3D computer animated choice experiment. Landsc. Urban Plan. 2010, 96, 1–11. [Google Scholar] [CrossRef]
- Heagney, E.C.; Rose, J.M.; Ardeshiri, A.; Kovač, M. Optimising recreation services from protected areas–Understanding the role of natural values, built infrastructure and contextual factors. Ecosyst. Serv. 2018, 31, 358–370. [Google Scholar] [CrossRef]
- Dorwart, C.; Moore, R.; Leung, Y. Visitors’ Perceptions of a Trail Environment and Effects on Experiences: A Model for Nature-Based Recreation Experiences. Leis. Sci. 2010, 32, 33–54. [Google Scholar] [CrossRef]
- Gundersen, V.; Vistad, O.I. Public Opinions and Use of Various Types of Recreational Infrastructure in Boreal Forest Settings. Forests 2016, 7, 113. [Google Scholar] [CrossRef]
- Stefanowska, A.; Bołdak, A. Relacja człowiek–koń, czyli o znaczeniu koni w życiu człowieka pod względem cywilizacyjnym i indywidualnym. Semin. Poszuk. Nauk. 2022, 43, 107–120. [Google Scholar] [CrossRef]
- Janeczko, E.; Woźnicka, M. Zagospodarowanie rekreacyjne lasów Warszawy w kontekście potrzeb i oczekiwań mieszkańców stolicy. Stud. I Mater. Cent. Edukac. Przyr.-Leśnej Rogowie 2009, 11, 131–139. [Google Scholar]
- McCormack, G.R.; Shiell, A. In search of causality: A systematic review of the relationship between the built environment and physical activity among adults. Int. J. Behav. Nutr. Phys. Act. 2011, 8, 125. [Google Scholar] [CrossRef] [PubMed]
- Kaplan, R.; Kaplan, S. The Experience of Nature: A Psychological Perspective; Cambridge University Press: Cambridge, UK, 1989. [Google Scholar]
- Hartig, T.; Evans, G.W.; Jamner, L.D.; Davis, D.S.; Gärling, T. Tracking restoration in natural and urban field settings. J. Environ. Psychol. 2003, 23, 109–123. [Google Scholar] [CrossRef]
- Takayama, N.; Saito, K.; Fujiwara, A.; Tsutsui, S. Influence of Five-day Suburban Forest Stay on Stress Coping, Resilience, and Mood States. J. Environ. Inf. Sci. 2017, 2, 49–57. [Google Scholar]
- Park, B.J.; Furuya, K.; Kasetani, T.; Takayama, N.; Kagawa, T.; Miyazaki, Y. Relationship between Psychological Responses and Physical Environments in Forest Settings. Landsc. Urban Plan. 2011, 102, 24–32. [Google Scholar] [CrossRef]
- Laumann, K.; Gärling, T.; Stormark, K.M. Rating scale measures of restorative components of environments. J. Environ. Psychol. 2001, 21, 31–44. [Google Scholar] [CrossRef]
- Reynolds, K.D.; Wolch, J.; Byrne, J.; Chou, C.P.; Feng, G.; Weaver, S.; Jerrett, M. Trail characteristics as correlates of urban trail use. Am. J. Health Promot. 2007, 21, 335–345. [Google Scholar] [CrossRef]
- Ravenscroft, N. Tales from the tracks: Discourses of constraint in the use of mixed cycle and walking routes. Int. Rev. Sociol. Sport. 2004, 39, 27–44. [Google Scholar] [CrossRef]
- Zeidenitz, C.; Mosler, H.J.; Hunziker, M. Outdoor recreation: From analysing motivations to furthering ecologically responsible behaviour. For. Snow Landsc. Res. 2007, 81, 175–190. [Google Scholar]
- Camping & Outdoor Hospitality Report 2024. Available online: https://outdoorrecreation.wi.gov/Documents/Research%20Library%20Page%20files/US%20-%20Demographics%20%26%20Participation/2024-KOA-North-American-Camping-Report-top-level-overview.pdf (accessed on 2 February 2025).
- Brooker, E.; Joppe, M.M. Trends in Camping and Outdoor Hospitality—An International Review. J. Outdoor Recreat. Tour. 2013, 3, 1–6. [Google Scholar] [CrossRef]
- Fertility Indicators. Available online: https://ec.europa.eu/eurostat/databrowser/view/demo_find__custom_12795007/default/table?lang=en (accessed on 2 February 2025). [CrossRef]
- Fjørtoft, I.; Sageie, J. The natural environment as a playground for children: Landscape description and analyses of a natural playscape. Landsc. Urban Plan. 2000, 48, 83–97. [Google Scholar] [CrossRef]
- Florkowski, W.; Us, A. Common Forms of Recreation Among Residents of Rural Areas: The Case of Residents in Lubelskie Voivodship. Roczniki (Annals) 2016, 4. [Google Scholar] [CrossRef]
- Janeczko, E. Infrastruktura rekreacyjno-edukacyjna jako element krajobrazu leśnego. Stud. I Mater. Cent. Edukac. Przyr.-Leśnej 2011, 13, 14–19. [Google Scholar]
- Chymkowski, R.; Zasacka, Z. Stan Czytelnictwa w Polsce 2022. Available online: https://www.bn.org.pl/download/document/1682012775.pdf (accessed on 16 March 2025).
- Stan Bezpieczeństwa Ruchu Drogowego Oraz Działania Realizowane w Tym Zakresie w 2014 r. Krajowa Rada Bezpieczeństwa Ruchu Drogowego, Warszawa. Available online: https://www.krbrd.gov.pl/wp-content/uploads/2020/11/Stan-bezpieczenstwa-ruchu-drogowego-oraz-dzialania-realizowane-w-tym-zakresie-w-2014-r-.pdf (accessed on 16 March 2025).
- Janeczko, E. Środowiskowe i Społeczne Uwarunkowania Rekreacyjnej Funkcji Lasów Mazowieckiego Parku Krajobrazowego (MPK). Ph.D. Thesis, Warsaw University of Life Sciences, Warsaw, Poland, 2002. [Google Scholar]
- Chastin, S.F.; Mandrichenko, O.; Helbostadt, J.L.; Skelton, D.A. Associations between objectively-measured sedentary behaviour and physical activity with bone mineral density in adults and older adults, the NHANES study. Bone 2014, 64, 254–262. [Google Scholar] [CrossRef]
- Aspinall, P.A.; Thompson, C.W.; Alves, S.; Sugiyama, T.; Brice, R.; Vickers, A. Preference and relative importance for environmental attributes of neighbourhood open space in older people. Environ. Plan. B Plan. Des. 2010, 37, 1022–1039. [Google Scholar] [CrossRef]
- Gołos, P. Selected aspects of the forest recreational function in view of its users. For. Res. Pap. 2013, 74, 257–272. [Google Scholar] [CrossRef]
- Oliveira, F.; Pintassilgo, P.; Pinto, P.; Mendes, I.; Silva, J.A. Segmenting visitors based on willingness to pay for recreational benefits: The case of Leiria National Forest. Tour. Econ. 2015, 23, 680–691. [Google Scholar] [CrossRef]
- Komunikat z Badań Nr 70/2024. Korzystanie z Internetu w 2024 Roku. COBOS. Available online: https://www.cbos.pl/PL/publikacje/raporty_tekst.php?id=6847 (accessed on 17 March 2025).
- Tahvanainen, L.; Tyrväinen, L.; Ihalainen, M.; Vuorela, N.; Kolehmainen, O. Forest management and public perceptions-Visual versus verbal information. Landsc. Urban Plan. 2001, 53, 53–70. [Google Scholar] [CrossRef]
Infrastructure | Variable | Coefficient | Wald’s χ2 | Odds Ratio |
---|---|---|---|---|
camping and tent fields | men | 0.335 * | 6.00 | 1.40 |
<30 years | 0.597 *** | 12.13 | 1.82 | |
families without children | 0.337 * | 5.18 | 1.46 | |
playgrounds | higher education | −0.598 * | 6.18 | 0.55 |
45 years | −0589 * | 4.42 | 0.55 | |
>50 years | −3.462 *** | 11.57 | 0.03 | |
families with children | 1.213 *** | 17.73 | 3.34 | |
bicycle paths | >residents of small towns | −0.410 *** | 11.77 | 0.66 |
>10 km | 0.342 * | 4.30 | 1.41 | |
>50 years | −0.338 * | 5,01 | 0.71 | |
parking lots and parking spaces | men | 0.322 ** | 5.59 | 1.38 |
>50 year | 0.417 ** | 6.01 | 1.52 | |
<30 years | −0.344 * | 4.20 | 0.71 | |
educational paths | women | 0.416 ** | 9.45 | 1.52 |
big city residents | −0.421 * | 4.22 | 0.66 | |
rest and picnic areas | <30 years | 0.466 ** | 7.42 | 1.59 |
families with children | 0.333 * | 4.16 | 1.409 | |
viewpoints | higher education | 0.246 * | 4.02 | 1.27 |
families without children | 0.526 *** | 19.57 | 1.69 | |
resting points along recreational routes | >50 years | 0.366 * | 5.00 | 1.44 |
big city residents | 0.355 * | 4.42 | 1.43 |
Facilities | Variable | Coefficient | Wald’s χ2 | Odds Ratio |
---|---|---|---|---|
sports | <weekdays | −0.413 * | 6.44 | 0.66 |
<30 years | 0.652 *** | 18.53 | 1.92 | |
>10 km | −0.69 * | 6.12 | 0.50 | |
social and living | <once a week | 0.371 *** | 11.15 | 1.45 |
educational | primary education | −1.20 * | 5.17 | 0.30 |
playground equipment | 35 years | 0.572 * | 8.79 | 1.77 |
1–2 children | 0.438 * | 5.12 | 1.55 | |
to 3 km | −0.58 ** | 8.79 | 0.56 | |
information | higher education | 0.322 ** | 7.89 | 1.38 |
without children | 0.278 * | 6.22 | 1.32 | |
to 3 km | 0.221 * | 4.12 | 1.25 | |
security | men | 0.318 * | 4.58 | 1.37 |
daily | 0.694 *** | 11.77 | 2.00 | |
to 3 km | −0.325 * | 4.50 | 0.72 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Janeczko, E.; Banaś, J.; Woźnicka, M.; Janeczko, K.; Zięba, S.; Utnik-Banaś, K.; Banaś, A. What Kind of Recreational Infrastructure Encourages Forest Visits the Most? A Case Study of Poland. Sustainability 2025, 17, 3598. https://doi.org/10.3390/su17083598
Janeczko E, Banaś J, Woźnicka M, Janeczko K, Zięba S, Utnik-Banaś K, Banaś A. What Kind of Recreational Infrastructure Encourages Forest Visits the Most? A Case Study of Poland. Sustainability. 2025; 17(8):3598. https://doi.org/10.3390/su17083598
Chicago/Turabian StyleJaneczko, Emilia, Jan Banaś, Małgorzata Woźnicka, Krzysztof Janeczko, Stanisław Zięba, Katarzyna Utnik-Banaś, and Aleksandra Banaś. 2025. "What Kind of Recreational Infrastructure Encourages Forest Visits the Most? A Case Study of Poland" Sustainability 17, no. 8: 3598. https://doi.org/10.3390/su17083598
APA StyleJaneczko, E., Banaś, J., Woźnicka, M., Janeczko, K., Zięba, S., Utnik-Banaś, K., & Banaś, A. (2025). What Kind of Recreational Infrastructure Encourages Forest Visits the Most? A Case Study of Poland. Sustainability, 17(8), 3598. https://doi.org/10.3390/su17083598