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2019 | 163 | 01 |

Tytuł artykułu

Wykorzystanie danych społecznościowej informacji geograficznej do monitorowania ruchu w przestrzeni leśnej

Treść / Zawartość

Warianty tytułu

EN
Application of the Volunteered Geographic Information data to monitor traffic in the forest area

Języki publikacji

PL

Abstrakty

EN
The purpose of this study was to present the possibilities of using available Volunteered Geographic Information (VGI) created by the users of OpenStreetMap program and sports applications such as GPies.com or Endomondo to monitor the traffic in the forest area. In addition, areas where, due to high traffic, potential conflicts between different user groups may occur, were marked out. The research area covered two mountain forest districts located in the Sudetes Mountains: Szklarska Poręba and Świeradów, which due to their tourist values and an extensive network of hiking and cycling trails arouse society’s interest. In the area, 2896 unique activities divided into cycling, running and hiking were registered. It was shown that 7.3% of the length of routes used by pedestrians, 13.6% of the length of routes for runners and 11.0% of the length of routes for cyclists are characterized by high intensity of traffic, while 30.3%, 28.4% and 37.7% of routes for the indicated groups, respectively, are characterized by medium intensity of traffic. On other routes, low intensity of utilization was observed. Existing hiking and cycling trails were pointed out as the most frequently used routes. The specially designed bicycle routes, the so−called ‘Single track’, located in the Świeradów Forest District, were popular among the users. The highest traffic occurred in the morning and afternoon, on weekends and in the summer months. According to the adopted assumptions, there is a high risk of conflicts between runners and cyclists at about 1.5% of the route length as well as 2.1% of the length of routes used simultaneously by pedestrians and cyclists. It should be stated that VGI data can be used to monitor traffic in forest areas and constitute one of the elements of the decision support system (DSS). A certain weakness of VGI data from the sports applications used in this study could be the lack of the possibility of creating user profiles. Consequently that causes lack of more detailed data on this subject (age, sex, etc.). The limitation in the data useage is the privacy policy, which allows downloading only such data that has been made available for public use in the application resources.

Wydawca

-

Czasopismo

Rocznik

Tom

163

Numer

01

Opis fizyczny

s.80-88,rys.,tab.,wykr.,bibliogr.

Twórcy

  • Zakład Geomatyki, Instytut Badawczy Leśnictwa, Sękocin Stary, ul.Braci Leśnej 3, 05-090 Raszyn
  • Zakład Geomatyki, Instytut Badawczy Leśnictwa, Sękocin Stary, ul.Braci Leśnej 3, 05-090 Raszyn
autor
  • Zakład Geomatyki, Instytut Badawczy Leśnictwa, Sękocin Stary, ul.Braci Leśnej 3, 05-090 Raszyn

Bibliografia

  • Arnberger A. 2006. Recreation use of urban forests: As inter-area comparison. Urban Forestry & Urban Greening 4: 135-144.
  • Arnberger A., Brandenburg C. 2002. Visitor structure of a heavily used conservation area: The Danube Floodplains national park, lower Austria. W: Arnberger A., Brandenburg C., Muhar A. [red.]. Proceedings of the 1st international conference on monitoring and management of visitor flows in recreational and protected areas. 7-13.
  • Dye A. S., Shaw S. L. 2007. A GIS-based spatial decision support system for tourist of Great Smoky Mountains National Park. Journal of Retailing and Consumer Services 14: 269-278.
  • Foody G. M., See L., Fritz S., van der Velde M., Perger C., Schill C., Boyd D. S., Comber A. 2014. Accurate attribute mapping from volunteered geographic information: issues of volunteer quantity and quality. The Cartographic Journal 52: 1-9.
  • Garbe M. 2010. Online location data: Analysis of publicly available trajectory data sources. W: Baltic conference, learning in networks. 45-52.
  • Gołos P. 2013. Selected aspects of the forest recreational function in view of its users. Forest Research Papers 74 (3): 257-272.
  • Goodchild M. F. 2007. Citizens as sensors: The world of volunteered geography. GeoJournal 69: 211-221.
  • Gundersen V., Vistad O. I. 2016. Public Opinions and Use of Various Types of Recreational Infrastructure in Boreal Forest Settings. Forests 7: 113-130.
  • Janeczko E., Woźnicka M. 2009. Zagospodarowanie rekreacyjne lasów Warszawy w kontekście potrzeb i oczekiwań mieszkańców stolicy. Studia i Materiały CEPL 23: 131-139.
  • Kondracki J. 1994. Geografia Polski. Mezoregiony fizycznogeograficzne. PWN, Warszawa.
  • Lindhagen A., Hörnsten L. 2000. Forest recreation in 1977 and 1997 in Sweden: changes in public preferences and behaviour. Forestry 73 (2): 143-151.
  • Lyon K., Cottrell S. P., Siikamaki P., van Marwijk R. B. M. 2011. Biodiversity hotspots and visitor flows in Oulanka National Park, Finland. Scandinavian Journal of Hospitality and Tourism 11: 100-111.
  • Mandziuk A., Janeczko K. 2009. Turystyczne i rekreacyjne funkcje lasu w aspekcie marketingowym. Studia i Ma-teriały CEPL 23: 65-71.
  • van Marwijk R. B. M. 2009. These routes are made for walking: understanding the transactions between nature, recreational behavior and environmental meanings in Dwingelderveld National Park, the Netherlands. PhD thesis, Wageningen University.
  • Meijels E. W., de Bakker M., Groote P. D., Barske R. 2014. Analysis hiker movement patterns using GPS data: Implications for park management. Computers, Environmental and Urban Systems 47: 44-57.
  • Nogueira Mendes R., Silva A., Grilo C., Rosalino L. M., Silva C. P. 2012. MTB monitoring in Arrábida natural Park, Portugal. W: Fredman P. i in. [red.]. 6th International Conference on Monitoring and Management of Visitors in Recreational and Protected Areas. 32-33.
  • O’Connor A., Zerger A., Itami B. 2005. Geo-temporal tracking and analysis of tourist movement. Mathematics and computers in Simulation 69: 135-150.
  • Roovers P., Hermy M., Gulinck H. 2002. Visitor profile, perceptions and expectations in forest from a gradient of increasing urbanization in central Belgium. Landsc. Urban Plann. 59: 129-145.
  • Shoval N., Isaacson M. 2007. Tracking tourists in the digital age. Annals of Tourism Research 34 (1): 141-159.
  • Skłodowski J., Gołos P., Skłodowski M., Ożga W. 2013. Preferencje osób odwiedzających wybrane kompleksy leśne w zakresie turystyki leśnej i organizacji wypoczynku. Leś. Pr. Bad. 74: 293-305.
  • Taczanowska K., Muhar A., Brandenburg C. 2008. Potential and limitations of GPS tracking for monitoring spatial and temporal aspects of visitor behaviour in recreational areas. W: Raschi A., Trampetti S. [red.]. Management for protection and sustainable development. Montecatini, Italy: Conciglio Nationale della Ricerche. 451-455.
  • Visschedijk P. A. M., Henkens R. J. H. G. 2002. Recreation monitoring at the Dutch Forest Service. W: Arnberger A., Brandenburg C., Muhar A. [red.]. Monitoring and Management of Visitor Flows in Recreational and Protected Areas. Conference Proceedings, Institute for Land scape Architecture and Landscape Management, Vienna. 65-67.
  • Wolf I. D., Hagenloh G., Croft D. B. 2012. Visitor monitoring along roads and hiking trails: how to determine usage levels in tourist sites. Tourism Management 33: 16-28.
  • Zandbergen P., Barbeau S. 2011. Positional Accuracy of Assisted GPS Data from High-Sensitivity GPS-enabled Mobile Phones. The Jorunal of Navigation 64: 381-399.

Typ dokumentu

Bibliografia

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