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A Mobile Phone Application for the Collection of Opinion Data for Forest Planning Purposes

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Abstract

The last 30 years has seen an increase in environmental, socio-economic, and recreational objectives being considered throughout the forest planning process. In the Finnish context these are considered mainly at the regional level potentially missing out on more local issues and problems. Such local information would be most efficiently collected with a participatory GIS approach. A mobile participatory GIS application called Tienoo was developed as a tool for collecting location-specific opinions of recreational and aesthetical characteristics of forests and forest management. The application also contains information the user can access regarding the practical details of the area, for instance about the recreational infrastructure. The application was tested in Ruunaa National Hiking Area, North Karelia, Eastern Finland. Through this application it is possible to continuously collect geolocated preference information. As a result, the collected opinions have details which can be located in both time and space. This allows for the possibility to monitor the changes in opinions when the stands are treated, and it also allows for easily analyzing the effect of time of year on the opinions. It is also possible to analyze the effect of the spatial location and the forest characteristics on the opinions using GIS analysis.

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References

  • Berry PLJ, Bell S (2014) Pointing accuracy: does individual pointing accuracy differ for indoor vs. outdoor locations? J Environ Psychol 38:175–185

    Article  Google Scholar 

  • Brown G (2006) Mapping landscape values and development preferences: a method for tourism and residential development planning. Int J Tour Res 8:101–113

    Article  Google Scholar 

  • Brown G (2012) An empirical evaluation of the spatial accuracy of public participation GIS (PPGIS) data. Appl Geogr 34:289e294

    Google Scholar 

  • Brown G, Brabyn L (2012) An analysis of the relationships between multiple values and physical landscapes at a regional scale using public participation GIS and landscape character classification. Landsc Urban Plann 107:317–331

    Article  Google Scholar 

  • Brown G, Raymond CM (2014) Methods for identifying land use conflict potential using participatory mapping. Landsc Urban Plan 122:196–208

    Article  Google Scholar 

  • Brown G, Reed P (2000) Typology for Use in National Forest Planning. For Sci 46:240–247

    Google Scholar 

  • Brown G, Reed P (2009) Public participation GIS: a new method for use in national forest planning. For Sci 55:166–182

    Google Scholar 

  • Brown G, Weber D (2011) Public participation GIS: a new method for national park planning. Landsc Urban Plan 102:1–15

    Article  Google Scholar 

  • Brown G, Weber D (2012) Measuring change in place values using public participation GIS (PPGIS). Appl Geogr 34:316–324

    Article  Google Scholar 

  • Brown G, Schebella MF, Weber D (2014) Using participatory GIS to measure physical activity and urban park benefits. Landsc Urban Plan 121:34–44

    Article  Google Scholar 

  • Eyvindson K, Kangas A (2014) Using a Compromise Programming framework to integrate place-specific preference information for forest management problems. J Multicriteria Decis Anal. doi:10.1002/mcda.1529

  • Gartenberg D, Thornton R, Masood M, Pfannenstiel D, Taylor D, Parasuraman R (2013) Collecting health-related data on the smart phone: mental models, cost of collection, and perceived benefit of feedback. Pers Ubiquit Comput 17:561–570. doi:10.1007/s00779-012-0508-3

    Article  Google Scholar 

  • Goodchild MF (2007) Citizens as sensors: the world of volunteered geography. GeoJournal 69:211–221

    Article  Google Scholar 

  • Green DR (2010) The role of public participatory geographical information systems (PPGIS) in coastal decision-making process: an example from Scotland, UK. Ocean Coast Manag 53:816–821

    Article  Google Scholar 

  • Harrison R, Flood D, Duce D (2013) Usability of mobile applications: literature review and rationale for a new usability model. J Interact Sci. doi:10.1186/2194-0827-1-1

    Google Scholar 

  • Hashemian M, Knowles D, Calver J, Qian W, Bullock MC, Bell S, Mandryk RL, Osgood DN, Stanley K (2012) iEpi: an end to end solution for collecting, conditioning and utilizing epidemiologically relevant data. MobileHealth’ 12:3–8

    Article  Google Scholar 

  • Hiltunen V, Kangas J, Pykäläinen J (2008) Voting methods in strategic forest planning – Experiences from Metsähallitus. For Policy Econ 10:117

    Article  Google Scholar 

  • Hytönen LA, Leskinen P, Store R (2002) A spatial approach to participatory planning in forestry decision making. Scand J For Res 17:62–71

    Article  Google Scholar 

  • Jumppanen H (2014) Erottuuko metsä maisemasta? (Can the forest be distinguished from the scenery?, In Finnish). Master Thesis, University of Helsinki, p 63

  • Kangas A, Haapakoski R, Tyrväinen L (2008) Integrating place-specific social values into forest planning–Case of UPM-Kymmene forests in Hyrynsalmi, Finland. Silva Fennica 42:773–790

    Article  Google Scholar 

  • Karjalainen E (2010) Forestscapes—a forest landscape typology as an integrated planning process tool. Dissertationes Forestales 98. 196 s

  • Kyttä M, Kahila M, Broberg A (2011) Perceived environmental quality as an input to urban infill policy-making. Urban Design Int 16:19–35

    Article  Google Scholar 

  • Lowery DL, Morse WC (2013) A qualitative method for collecting spatial data on important places for recreation, livelihoods and ecological meanings: integrating focus groups with public participation geographic information systems. Soc Nat Res 26:1422–1437

    Article  Google Scholar 

  • MacKerron G, Mourato S (2013) Happiness is greater in natural environments. Glob Environ Change 23:992–1000

    Article  Google Scholar 

  • Maisonneuve N, Stevens M, Niessen ME, Hanappe P, Steels L (2009) Citizen noise pollution monitoring. In The Proceedings of the 10th International Digital Government Research Conference. pp 96–103

  • Nordström EM, Eriksson LO, Öhman K (2011) Multiple criteria decision analysis with consideration to place-specific values in participatory forest planning. Silva Fennica 45:253–265

    Article  Google Scholar 

  • Pocewicz A, Nielsen-Pincus M, Brown G, Schnitzer R (2012) An evaluation of internet versus paper-based methods for public participation geographic information systems (PPGIS). Trans GIS 16:39–53

    Article  Google Scholar 

  • Pykäläinen J, Hiltunen V, Leskinen P (2007) Complementary use of voting methods and interactive utility analysis in participatory strategic forest planning: experiences gained from western Finland. Can J For Res 3:853–865

    Article  Google Scholar 

  • Rantanen H, Kahila M (2009) The SoftGIS approach to local knowledge. J Environ Manag 90:1981–1990

    Article  CAS  Google Scholar 

  • Reades J, Calabrese F, Sevtsuk A, Ratti C (2007) Cellular Census: explorations in Urban Data Collection. Pervasive Computing, IEEE 6:30–38

    Article  Google Scholar 

  • Reed P, Brown G (2003) Values suitability analysis: a methodology for identifying and integrating public perceptions of forest ecosystem values in national forest planning. J Environ Plan Manag 46:643–658

    Article  Google Scholar 

  • Runyan JD, Steenbergh TA, Bainbridge C, Daugherty DA, Oke L, Fry BN (2013) A smartphone ecological momentary assessment/intervention “App” for collecting real-time data and promoting self-awareness. PLoS ONE 8:e71325

    Article  CAS  Google Scholar 

  • Shiffman S, Stone AA, Hufford MR (2008) Ecological momentary assessment- Annu. Rev Clin Psychol 4:1–32

    Article  Google Scholar 

  • Tyrväinen L, Mäkinen K, Schipperijn J (2007) Tools for mapping social values of urban woodlands and other green areas. Landsc Urban Plan 79:5–19

    Article  Google Scholar 

  • Tyrväinen L, Ojala A, Korpela K, Lanki T, Tsunetsugu Y, Kagawa T (2014) The influence of urban green environments on stress relief measures: a field experiment. J Environ Psychol 38:1–9

    Article  Google Scholar 

  • Woodcock A, Frankova K, Garton L (2012) VoiceYourView: anytime, anyplace, anywhere user participation. Work 41:997–1003. doi:10.3233/WOR-2012-0276-997

    Google Scholar 

  • Yu P (1973) A class of solutions for group decision problems. Manage Sci 19:936–946

    Article  Google Scholar 

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Acknowledgments

This work is part of the WoodWisdom-ERANET Project “A regional IT-based platform for bringing resource needs and land-based resource production together (Regiopower)”. This part of the work was funded by TEKES (Decision number 40400/11). We also wish to thank all the respondents in Ruunaa area who took part in our test.

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Correspondence to Annika Kangas.

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Kangas, A., Rasinmäki, J., Eyvindson, K. et al. A Mobile Phone Application for the Collection of Opinion Data for Forest Planning Purposes. Environmental Management 55, 961–971 (2015). https://doi.org/10.1007/s00267-014-0438-0

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  • DOI: https://doi.org/10.1007/s00267-014-0438-0

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