1. bookVolume 26 (2022): Edizione 1 (January 2022)
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License
Formato
Rivista
eISSN
2255-8837
Prima pubblicazione
26 Mar 2010
Frequenza di pubblicazione
2 volte all'anno
Lingue
Inglese
access type Accesso libero

Assessment and Accuracy Improvement of Pyroelectric Sensors (Eco-Counter) Based on Visitors Count in National Park. The Case: Monitoring System of Tourist Traffic in Stołowe Mountains National Park, Poland

Pubblicato online: 10 Apr 2022
Volume & Edizione: Volume 26 (2022) - Edizione 1 (January 2022)
Pagine: 182 - 198
Dettagli della rivista
License
Formato
Rivista
eISSN
2255-8837
Prima pubblicazione
26 Mar 2010
Frequenza di pubblicazione
2 volte all'anno
Lingue
Inglese
Abstract

The monitoring of tourist traffic helps to manage tourism in national parks. Today park managers and researchers use many different devices and technologies that facilitate data collection. Among these often used devices is the pyroelectric sensor. Despite its high degree of usefulness, this type of sensor can miscalculate. Therefore, there is a need to assess the magnitude of errors and the circumstances in which they occur. The purpose of the study was to evaluate pyroelectric sensor counting errors in relation to different visitor flow levels and time intervals between visitors. The study was based on a field experiment and on-site observations using pyroelectric sensors, part of the Monitoring System of tourist traffic (MSTT) in Stołowe Mountains National Park in Poland. The outcome of the assessment was the errors sizes and types and calibration formula. Pyroelectric sensors more often overcount than undercount. Errors occur in larger than 6-visitor groups and time intervals between visitors shorter than 3 seconds. Finally, the analysis of the causes of errors gave the ground to generate the typology of error circumstances. The calibration formula was generated based on a field experiment and on-site observation. The average error size was reduced from ±13 % to ±6 %. The calibration formula provided in the study is simple and universal and can be applied to other data.

Keywords

[1] Andersen O., Gundersen V., Line C., Wold Line C., Stange E. Monitoring visitors to natural areas in wintertime: issues in counter accuracy. Journal of Sustainable Tourism 2013:29(4):21–39. https://doi.org/10.1080/09669582.2013.83969310.1080/09669582.2013.839693 Search in Google Scholar

[2] Eagles P. F. J., Hornback K. E. Guidelines for public use measurement and reporting at parks and protected areas. International Union for Conservation of Nature and Natural Resources. Switzerland, 1999. [Accessed 15.09.2020] Available: https://portals.iucn.org/library/sites/library/files/documents/1999-018.pdf Search in Google Scholar

[3] Manning R. E. Studies in outdoor recreation, search and research for satisfaction. Corvallis: Oregon State University Press, 1999. Search in Google Scholar

[4] Cessford G., Muhar A. Monitoring options for visitor numbers in national parks and natural areas. Journal of Nature Conservation 2003:11(4):240–250. https://doi.org/10.1078/1617-1381-0005510.1078/1617-1381-00055 Search in Google Scholar

[5] Arnberger A., Haider W., Brandenberg C. Evaluating visitor-monitoring techniques: A comparison of counting and video observation data. Environmental Management 2005:36:317–327. https://doi.org/10.1007/s00267-004-8201-610.1007/s00267-004-8201-615995887 Search in Google Scholar

[6] Kajala L., Almik A., Dahl R., Diksait L., Erkkonen J., Fredman P., Wallsten P. Visitor monitoring in nature areas – A manual based on experiences from the Nordic and Baltic countries. Stockholm: Swedish Environmental Protection Agency. 2007. [Online]. [Accessed: 15.09.2020]. http://www.naturvardsverket.se/Documents/publikationer/620-1258-4.pdf?pid=2661 Search in Google Scholar

[7] Lindsey G., Wilson J., Rubchinskaya E., Yang J., Han Y. Estimating of urban trail traffic: Methods for existing and proposed trails. Landscape and Urban Planning 2007:81(4):299–315. https://doi.org/10.1016/j.landurbplan.2007.01.00410.1016/j.landurbplan.2007.01.004 Search in Google Scholar

[8] Lynch J., Vogt C., Cindrity S., Nelson C. Measuring and monitoring trail use: A nationwide survey of state and federal trail managers (Report for Michigan Department of Transportation). East Lanching, MI: Michigan State University, 2002. [Online]. [Accessed: 15.09.2020]. Available: https://portal.nifa.usda.gov/web/crisprojectpages/0166737-influences-of-natural-resource-recreation-on-land-management.html Search in Google Scholar

[9] Rupf-Haller R., Wernli M., Filli F. Visitor counting with acoustic slab sensors in the Swiss National Park. In Siegrist D, Clivaz C, Hunziker M, Iten S (Eds), Exploring the nature of management. Proceedings of the Third International Conference on Monitoring and Management of Visitor Flows in Recreational and Protected Areas. Rapperswill: University of Applied Sciences, 2006. Search in Google Scholar

[10] Shoji Y., Yamaguchi K., Yamaki K. Estimating annual visitor flows in Daisetsuzan National Park, Japan: Combining self-registration books and infrared trail traffic counters. Journal of Forest Research 2008:13(5):286–295. https://doi.org/10.1007/s10310-008-0085-510.1007/s10310-008-0085-5 Search in Google Scholar

[11] Pettebone D., Newman P., Lawson S. R. Estimating visitor use at attraction sites and trailheads in Yosemite National Park using automated visitor counters. Landscape and Urban Planning: 2010:97(4):229–238. https://doi.org/10.1016/j.landurbplan.2010.06.00610.1016/j.landurbplan.2010.06.006 Search in Google Scholar

[12] Farias-Torbidoni E., Morera S. Optimizing the use of the Eco-counters tool. A case of study. The 9th International Conference on Monitoring and Management of Visitors in Recreational and Protected Areas (MMV9), Bordeaux, France. 2018. [Online]. [Accessed: 15.09.2020]. Available: https://mmv9.sciencesconf.org/data/pages/last_version_abstract_book_7.pdf Search in Google Scholar

[13] Ross J. Visitor counters in parks: Management practice for counter calibration (Tech. Series No. 33). Wellington: Department of Conservation. 2005. [Online]. [Accessed: 15.09.2020]. Available: https://www.doc.govt.nz/documents/science-and-technical/docts33.pdf Search in Google Scholar

[14] Yang H., Ozbay K., Bartin B. Enhancing the quality of infrared-based automatic pedestrian sensor data by nonparametric statistical method. Transportation Research Record: Journal of the Transportation Research 2011:2264:11–17. https://doi.org/10.3141/2264-0210.3141/2264-02 Search in Google Scholar

[15] Rogowski M. Monitoring System of tourist traffic (MSTT) as a comprehensive method for tourists monitoring in mid-mountain national park (Stołowe Mountains National Park, SW Poland). Journal of Mountain Science 2020:17:2035–2047. https://doi.org/10.1007/s11629-019-5965-y10.1007/s11629-019-5965-y Search in Google Scholar

[16] Rogowski M. Monitoring System of tourism traffic (MSTT) in the Stołowe Mts. National Park – principles a preliminary results. (System Monitoringu Ruchu Turystycznego (MSTT) w Górach Stołowych Park Narodowy – zasady wstępne wyniki). Studia i Materiały CEPL w Rogowie 2017:52:158–165. (In Polish). Search in Google Scholar

[17] Rogowski M. Use of Monitoring System of tourist traffic (MSTT) in Stolowe Mts National Park for Visitors description. Economics and Environment 2018:65:87–98. Search in Google Scholar

[18] Miller A. B., Leung Y., Kays R. Coupling visitor and wildlife monitoring in protected areas using camera traps. Journal of Outdoor Recreation and Tourism 2017:17:44–53. https://doi.org/10.1016/j.jort.2016.09.00710.1016/j.jort.2016.09.007 Search in Google Scholar

[19] Muhar A., Arnberger A., Brandenburg C. Methods for Visitor Monitoring in Recreational and Protected Areas: An Overview. Conference proceedings from Monitoring and Management of Visitor Flows in Recreational and Protected Areas. 2002. [Online]. [Accessed: 15.09.2020]. Available: http://mmv.boku.ac.at/refbase/files/muhar_andreas_arnb-2002-methods_for_visitor.pdf Search in Google Scholar

[20] Gasvoda D. Trail traffic counters: Update. Report 9923-2835-MTDC. USDA Forest Service, Missoula Technology and Development Center, Missoula, MN., 1999. Search in Google Scholar

[21] Rauhala J., Erkkonen J., Iisalo H. Standardisation of visitor counting: Experiences from Finland. In Arnberger A., Brandenburg C., Muhar A. (eds). Proceedings of the First Conference on Monitoring and Management of Visitor Flows in Recreational and Protected Areas. BOKU University of Natural Resources and Applied Life Sciences, Vienna. 2002. [Online]. [Accessed: 15.09.2020] Available: http://mmv.boku.ac.at/refbase/files/rauhala_jere_erkko-2002-standardisation_of_v.pdf Search in Google Scholar

[22] Watson A. E., Cole D. N., Turner D. L., Reynolds P. S. Wilderness recreation use estimation: A handbook of methods and systems. USFS General Technical Report RMRS-GTR-56., USDA, Forest Service, Rocky Mountain Research Station. Ogden, UT, 2000. https://doi.org/10.2737/RMRS-GTR-5610.2737/RMRS-GTR-56 Search in Google Scholar

[23] Cessford G., Cockburn S., Douglas M. Developing new visitor counters and their applications for management. in Arnberger A., Brandenburg C., Muhar A. (eds) Proceedings of the First Conference on Monitoring and Management of Visitor Flows in Recreational and Protected Areas. BOKU University of Natural Resources and Applied Life Sciences, Vienna. 2002. Search in Google Scholar

[24] Bates M., Wallace G., Vaske J. J. Estimating visitor use in Rocky Mountain National Park. (HDNRU Report No. 74). Report for Rocky Mountain National Park. Fort Collins: Colorado State University, Human Dimensions in Natural Resources Unit. 2007. Search in Google Scholar

[25] Hlaváčková P., Slováčková H., Březina D., Michal J. Comparison of results of visitor arrival monitoring using regression analysis. Journal of Forest Science 2018:64:303–312. https://doi.org/10.17221/20/2018-JFS10.17221/20/2018-JFS Search in Google Scholar

[26] Greene-Roesel R., Diogenes M. C., Ragland D. R., Lindau L. A. Effectiveness of a comparison with manual counts. Berkeley: University of California Berkeley, Safe Transportation Research & Education Center. 2008. [Online]. [Accessed: 15.09.2020]. Available: https://escholarship.org/content/qt2n83w1q8/qt2n83w1q8_noSplash_cb29582c61c4310c9cad9f22760aae7d.pdf Search in Google Scholar

[27] Zwijacz-Kozica T., Zięba S., Grocholski S. Eye, lens or sensor: what to use in visitor monitoring? In book: Nauka Tatrom Tom III Człowiek i Środowisko Publisher: Tatrzańskie Park Narodowy Editors: Anna Chrobak, Tomasz Zwijacz-Kozica. 2015. Search in Google Scholar

[28] Rogowski M. Spatiotemporal Distribution of Visitors on the Summit of Śnieżka in 2015. Prace Geograficzne 2018:154:107–125. https://doi.org/10.4467/20833113PG.18.011.944310.4467/20833113PG.18.011.9443 Search in Google Scholar

[29] Wolter S. A., Lindsey G. Summary Report. Indiana Trail Study: A Summary of Trails in 6 Indiana Cities. Indiana University, Bloomington, 2001. Search in Google Scholar

[30] Jones M. G., Ryan S., Donlon J., Ledbetter L., Ragland D. R., Arnold L. Seamless Travel: Measuring Bicycle and Pedestrian Activity in San Diego County and Its Relationship to Land Use, Transportation, Safety, and Facility Type. Traffic Safety Center, University of California, Berkeley, and Alta Planning + Design, 2010. Search in Google Scholar

[31] Greene-Roesel R., Diogenes M. C., Ragland D. R., Lindau L. A. Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts. 2008. [Online]. [Accessed: 15.09.2020]. Available: https://escholarship.org/content/qt2n83w1q8/qt2n83w1q8_noSplash_cb29582c61c4310c9cad9f22760aae7d.pdf Search in Google Scholar

[32] Aultman-Hall L., Lane D., Lambert R. R. Assessing Impact of Weather and Season on Pedestrian Traffic Volumes. In Transportation Research Record: Journal of the Transportation Research Board, No. 2140. Transportation Research Board of the National Academies, Washington, D.C., 2009. Search in Google Scholar

[33] Yang H., Ozbay K., Bartin B. Investigating the Performance of Automatic Counting Sensors for Pedestrian Traffic Data Collection. Proc., 12th World Conference on Transport Research, Lisbon, Portugal, WCTR Society, Lyon, France, 2010. Search in Google Scholar

[34] Active Living Research (2013). Counting bicyclists and pedestrians to inform transportation planning. Research brief San Diego, CA: Robert Wood Johnson Foundation. [Online]. [Accessed: 15.09.2020]. Available: https://www.activelivingresearch.org/counting-bicyclists-and-pedestrians-inform-transportation-planning Search in Google Scholar

[35] Turner S., Middleton D., Longmire R., Brewer M., Eurek R. Testing and Evaluation of Pedestrian Sensors. Texas Transportation Institute, Texas A&M University System, College Station, 2007. Search in Google Scholar

[36] Aultman-Hall L., Lane D., Lambert R. R. Assessing Impact of Weather and Season on Pedestrian Traffic Volumes. Transportation Research Record: Journal of the Transportation Research Board 2009. https://doi.org/10.3141/2140-0410.3141/2140-04 Search in Google Scholar

[37] Lindsey G., Nguyen D. B. L. Use of Greenway Trails in Indiana. Journal of Urban Planning and Development 2004:130(4):213–217. https://doi.org/10.1061/(ASCE)0733-9488(2004)130:4(213)10.1061/(ASCE)0733-9488(2004)130:4(213) Search in Google Scholar

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