From national recreation statistics and mobile data to local estimates of recreational activity in Finland
14 sie 2025
O artykule
Data publikacji: 14 sie 2025
Zakres stron: 50 - 63
Otrzymano: 15 mar 2024
Przyjęty: 05 lip 2024
DOI: https://doi.org/10.2478/ejthr-2025-0004
Słowa kluczowe
© 2025 Olli Lehtonen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Differences in local recreational activity by methods in urban-rural classes_ Negative percentage values indicate underestimation and positive values overestimation of the local recreation activity_
Total annual activity (n, million visits) | 242.2 | 155.0 | 84.4 | 31.8 | 54.3 | 73.4 | 41.3 | |
Average monthly activity (n, million visits) | 20.2 | 12.9 | 7.0 | 2.6 | 4.5 | 6.1 | 3.4 | |
Total annual activity (n, million visits) | 219.4 | 141.7 | 82.2 | 29.1 | 66.1 | 79.1 | 64.9 | |
Difference in activity during the whole year compared with permanent population statistics (%) | 9.4 | 8.6 | 2.6 | 8.3 | −21.8 | −7.7 | −57.1 | |
Activity in January (n, million visits) | 16.1 | 10.3 | 5.7 | 2.1 | 3.9 | 5.1 | 3.2 | |
Activity in July (n, million visits) | 18.3 | 12.0 | 7.7 | 2.5 | 7.9 | 8.4 | 9.4 | |
Difference in activity between January and July (%) | −13.7 | −16.3 | −34.7 | −17.0 | −105.4 | −65.7 | −196.0 | |
Total annual activity (n, million visits) | 200.7 | 140.2 | 79.6 | 30.7 | 61.6 | 78.6 | 62.2 | |
Difference in activity during the whole year compared with permanent population statistics (%) | 17.1 | 9.6 | 5.7 | 3.4 | −13.6 | −7.1 | −50.5 | |
Difference in activity during the whole year compared with the average monthly populations of grid data (%) | 8.5 | 1.1 | 3.1 | −5.4 | 6.7 | 0.6 | 4.2 | |
Activity in January (n, million visits) | 13.1 | 9.4 | 5.2 | 2.1 | 4.0 | 5.2 | 4.0 | |
Activity in July (n, million visits) | 17.6 | 12.7 | 7.6 | 2.8 | 6.6 | 8.3 | 7.9 | |
Difference in activity between January and July (%) | −34.0 | −34.6 | −44.2 | −35.0 | −65.8 | −57.8 | −97.7 |
Results from the regression analyses explain differences in local recreation activity between monthly average populations and average population in 2020 in mobile phone data (%)_
Population density (100 inhabitants/km2) | 0.011 | −0.030 |
0.036 |
Urban area (dummy) | −1.835 |
1.021 | −8.077 |
Sparsely populated rural area (dummy) | −2.175 |
−1.904 | 7.756 |
Rural area close to urban area (dummy) | 0.358 | −0.919 | −0.100 |
Local centre of rural areas (dummy) | 0.371 | 1.230 | −0.602 |
Water cover (%) | −0.067 |
−0.104 |
0.203 |
Forest cover (%) | −0.042 |
−0.008 | 0.037 |
Second homes from land cover (%) | 0.222 |
0.028 | 0.804 |
Second homes (%) | −0.009 |
−0.012 |
0.022 |
Average value for zonation index | 4.826 |
−4.781 |
1.238 |
Proportion of nature reserve from the total area (%) | 0.057 | 0.064 | −0.111 |
Distance to the city with over 50,000 inhabitants (km) | 34.499 |
47.828 |
0.377 |
Distance to the city with over 200,000 inhabitants (km) | 8.540 |
2.753 | 35.106 |
Distance to the primary school (km) | −0.280 |
−0.612 |
1.140 |
Availability of broadband (%) | 0.032 |
0.026 |
−0.059 |
Constant | −24.007 |
3,334 |
12.513 |
Lambda | 0.074 | 0.081 | 0.103 |
Observations | 13358 | 13358 | 13358 |
R2 (based on lm-model) | 0.062 | 0.104 | 0.476 |
AIC | 112690 | 118580 | 116580 |
Description of the variables used in regression modelling_
Category | Urban area (dummy) | Area belongs to urban area in urban-rural typology (coded as 1 if area belongs to category and 0 if not). | SYKE, 2018 |
Category | Sparsely populated rural area (dummy) | Area belongs to sparsely populated rural area in urban-rural typology (coded as 1 if area belongs to category and 0 if not). | SYKE, 2018 |
Category | Rural area close to urban area (dummy) | Area belongs to rural area close to urban area in urban-rural typology (coded as 1 if area belongs to category and 0 if not). | SYKE, 2018 |
Category | Local centre of rural areas (dummy) | Area belongs to local centre of rural areas in urban-rural typology (coded as 1 if area belongs to category and 0 if not). | SYKE, 2018 |
Land use | Water cover (%) | Proportion of water areas from the total surface of the grid. | CORINE, 2018 |
Land use | Forest cover (%) | Proportion of forest areas from the total surface of the grid. | CORINE, 2018 |
Land use | Second homes from land cover (%) | Proportion of leisure areas from the total surface of the grid. | CORINE, 2018 |
Land use | Second homes (%) | Proportion of second homes from the total number of residential buildings in the grid. | YKR, 2020 |
Land use | Average value for zonation index | Average value for zonation index in grid which indicates biodiversity value of the forests. The higher the numeric value is, the higher the biodiversity value is in the grid. | Zonation, 2018 |
Land use | Proportion of nature reserve from the total area (%) | Proportion of nature reserves from the total surface of the grid. | CORINE, 2018 |
Location | Distance to the city over 50,000 inhabitants (km) | Distance from the grid centroid to the nearest city over 50,000 inhabitants. Distance is calculated based on Digiroad (2018) network. | Own calculation, 2020 |
Location | Distance to the city over 200,000 inhabitants (km) | Distance from the grid centroid to the nearest city over 200,000 inhabitants. Distance is calculated based on Digiroad (2018) network. | Own calculation, 2020 |
Location | Distance to the primary school (km) | Distance from the grid centroid to the nearest primary school. Distance is calculated based on Digiroad (2018) network. | Own calculation, 2020 |
Infrastructure | Availability of broadband (%) | Proportion of the population with access to broadband. | Traficom, 2020 |
Population | Population density (100 inhabitants/km2) | Population density of area. | YKR, 2020 |