An empirical study of recreational route choices



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An empirical study of recreational route choices IUFRO, division 6 conference Saariselkä in Finnish Lapland August 15-17, 2007 Hans Skov-Petersen (hsp@file.ku.dk) Frank Søndergaard Jensen (fsj@life.ku.dk) Department of urban and landscape studies Danish centre for Forest, Landscape and Planning University of Copenhagen, Denmark

Recreational route choices Introduction to the presentation Scope bounding conditions What is meant by way-finding behavior? Application of fixed routes vs. browsing behaviors On- vs. off-piste behaviors What is the environmental setting? The study is performed at three locations in Denmark, which on a global scale must be seen as highly populated, almost periurban

Recreational route choices Introduction to the presentation Program Introduction: Why is investigation of way finding behavior interesting? Background and hypothesis: What can be the motivation behind people s application of different way finding behaviors? Methods: Introduction to the fieldwork and questionnaire. Results: Who applies which behaviors and why? Perspectives

Introduction Why is investigation of way finding behavior interesting? From a management point of view: Facility setting Wildlife disturbance Information strategy: Signs, maps etc. From a (agent-based) simulation point of view: Towards a behavior typology Looking for generic knowledge: How do people find their way through known and unknown environments How do people learn and store spatial information about the environment How is local knowledge put together into entire mental maps How is spatial knowledge stored as mental maps applied when pursuing recreational requirements

Background and hypothesis What can be the motivation behind people s application of different way finding behaviors? Different activities pursued Level of knowledge/familiarity of the location which again can be influenced by the required travel distance.

Methods and field work Introduction to questionnaire Locations and schedule Three locations (Hestehaven, Mols Bjerge and Rude Skov) 5-8 weekends in 2005-2006 (2007 is in process) Responses (682, 483 geo-codable)

Methods and field work Two focal questions of the questionnaire: How did you mainly choose you route today? I knew the area, followed a fixed route I was heading for a specified target I followed a marked trail I browsed my way through Did you go outside the trail network. If so.. To what extent Why did you leave the trail How did you choose the point where you left the trail

Results: - Differences between localities in way finding strategy 60% 50% 40% 30% 20% Know area, follow fixed track Heading for attraction point Follow marked trail Browsing Other 10% 0% Heste haven (n=339) Mols Bjerge (n=57) Rude Skov (n=286)

Results: - Transportation time

Results: - Way finding behavior and type activities Rude Skov n = 286 Experinced nature % of responses (more than one choice possible) 35 30 25 20 15 10 5 0 Knew the area, fixed route Headded for attraction point Followed marked trail Browsed Studied nature Observed animals Observed birds Ran Walked the dog Walked Mountain biked Biked Played Picked berries and flowers Photographed

Results: - Off-piste behavior and activities Proportional time spend away from the trail 70 60 % of responses 50 40 30 20 0% 10% 25% 50% 100% 10 0 Heste Havne n = 335 Mols Bjerge n = 56 Rude Skov n = 286

Results: Relation between way-finding and off-piste behavior Rude Skov n = 283 % way finding class 100 80 60 40 20 0 Fixed route n = 122 Attraction point n = 77 Marked trail n = 13 Browsed n = 56 0% 10-25% 50-100%

Perspectives. Where do visitors actually go? Application of revealing techniques involving data from e.g. GPS and sketch maps. How are spatial choices made during browsing behaviors: Application of e.g. Conjoint Stated Preference investigations.

Brief conclusions. Way finding behaviors differ between locations The intuitively expected relation between activity classes and way finding behavior have the be further analyzed Investigation of way finding behavior can contribute to knowledge visitors preferences in relation to the facility and path network setting In relation to (agent-based) simulations establishment of typologies of way finding is needed

An empirical and simulation study of recreational route choices That was it. Thank you for your attention Hans Skov-Petersen (hsp@file.ku.dk) Frank Søndergaard Jensen (fsj@life.ku.dk) Department of urban and landscape studies Danish centre for Forest, Landscape and Planning University of Copenhagen, Denmark