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From national recreation statistics and mobile data to local estimates of recreational activity in Finland

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14 sie 2025

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Figure 1:

Flowchart of the research process.
Flowchart of the research process.

Figure 2:

Urban-rural categories, regions, and mobile phone data grids in Finland. In the Figure, urban classes have been combined into a single class to make urban areas stand out more clearly.
Urban-rural categories, regions, and mobile phone data grids in Finland. In the Figure, urban classes have been combined into a single class to make urban areas stand out more clearly.

Figure 3:

Differences in the local recreational activities by grid data and mobile phone data approaches.
Differences in the local recreational activities by grid data and mobile phone data approaches.

Figure 4:

Monthly variation of recreational activity by region. Calculation is based on mobile phone data.
Monthly variation of recreational activity by region. Calculation is based on mobile phone data.

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_

Data source Estimates for local recreational activity Inner urban area Outer urban area Urban fringe Rural area close to urban area Local centre of rural area Core rural area Sparsely populated rural area
Permanent population statistics 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
Average monthly populations based on grid data 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
Average monthly populations based on mobile phone data 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 (%)_

Variable Difference in January, SAR Difference in March, SAR Difference in July, SAR
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_

Row vector Variable Description Data source, year
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