104
FORESTRY
different kinds of recreational facilities can be northern rural community, people spent more
used to estimate probable future participation time (30 vacation days) and money (EUR 553) on
rates and frequencies and can also be used to outdoor recreation. Among the most popular
predict the future need for recreational areas. In activities are fishing and snowmobiling, and
an economic sense, demand models make it poss- people usually take part in these activities in areas
ible to evaluate the benefits of outdoor recreation. which are not designated for recreation. In the
Comparing the benefits of recreation with the southern city areas, less time (20 vacation days)
costs of providing recreation services is a useful and less money (EUR 392) are spent on recre-
tool for evaluating public sector recreation invest- ation activities. Swimming and sunbathing are
ments.
popular and people typically visit municipal
Some characteristics of outdoor recreation in recreation areas.
Finland challenge the study of recreation demand.
Firstly, because participation in activities and par-
ticipation frequencies vary seasonally, data have
to be collected all year round. Secondly, because
Recreation supply study
of ‘everyman’s rights’, some outdoor recreation In the supply study, a nation-wide inventory of
takes place in the normal living environment close different types of recreation areas, trails and other
to home on private land not in designated recre- recreation services is being carried out. The data
ation areas. This makes it difficult to specify the collected include the amount and location of
destination area.
available recreational areas as well as qualitative
The sample size in the main population survey descriptions of services and other information.
is about 12 000 people. A random sample is Data on the provision of recreation services are
drawn from the population between the ages of gathered using questionnaires from all 455
15 and 75 years, and is connected to the national municipalities and from two state agencies. Infor-
labour study. The sample needs to be large for mation about recreation areas is saved in a GIS-
two main reasons. Firstly, having a large sample database, which will later be merged with the
will ensure that there will be enough incidences of database holding information on sports areas and
some new types of recreation activities to monitor facilities. These two databases are accessible for
changes in participation rates in future. Secondly, public use.
there is a need to get a sufficient number of
Analyses of supply data will produce quality
responses to provide information about the criteria and indicators for the designated recre-
demand for recreational services at a regional ation areas. The supply assessment will also give
level. The survey is being done during the 22 valuable information about the state of
months between August 1998 and May 2000. implementation of land-use plans within the
About 800–1000 telephone interviews are con- different regions.
ducted every second month. Printed question-
naires are then mailed out to those respondents
who have participated in outdoor recreation
activities in the 12 months preceding the tele-
Comparison of demand and supply
phone interview. In this way, all seasons are rep- The issues examined in this comparison of
resented in the sample, and some of the bias demand and supply include, firstly, whether the
caused by memory failure will be minimized. The actual supply of recreation opportunities meets
topics covered by specific survey questions are the demand for outdoor recreation and, secondly,
presented in Table 1.
how demand and the supply are likely to change
A pilot study was conducted in 1997 (Sievänen, in the future. From the policy-making point of
1998). The objectives of the pilot study were to view, an interesting question is what kind of
test survey instruments, questionnaires and the action will be needed in order to achieve a balance
general data collection organization of the between demand and supply. Area-based indexes
project. The pilot study uncovered examples of in the GIS-database make it possible to compare
interesting differences between recreation behav- recreation areas and their use in different parts of
iour in northern and southern Finland. In the the country both on an owner group basis and on