J. For. Sci., 2018, 64(7):303-312 | DOI: 10.17221/20/2018-JFS

Comparison of results of visitor arrival monitoring using regression analysisOriginal Paper

Petra HLAVÁČKOVÁ, Hana SLOVÁČKOVÁ*, David BŘEZINA, Jakub MICHAL
Department of Forest and Wood Products Economics and Policy, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech Republic

Monitoring of visitor arrivals is one of the tools which help to ensure good-quality and suitable management of the respective area. This paper is aimed at the monitoring of visitor arrivals when the visitors are counted automatically using a field counting device, namely a pyroelectric sensor. In 2015, visitor arrival monitoring using a pyro sensor was conducted on the selected forest roads in the Křtiny Training Forest Enterprise of Masaryk Forest. Since this method should be employed in another project, it was necessary to find out whether the pyroelectric sensor is a reliable tool and whether it can be used for further research. The aim of this paper is to perform a regression analysis of the data collected at the selected site in order to determine whether the pyroelectric sensor provides relevant information. Two data sets acquired during the first week of the monitoring of visitor arrivals at the single site will be compared. The one set includes data obtained by automatic monitoring using the pyro sensor, the other set contains data gained by means of manual counting by students of the Faculty of Forestry and Wood Technology. Two directions of visitor flows were monitored - in and out. The data were statistically processed using the ADSTAT software. Results of the regression analysis show that the results of the visitor arrival monitoring carried out using a pyro sensor differ just slightly from those gained by manual counting.

Keywords: recreation; forest roads; economy; statistical processing; pyro sensor

Published: July 31, 2018  Show citation

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HLAVÁČKOVÁ P, SLOVÁČKOVÁ H, BŘEZINA D, MICHAL J. Comparison of results of visitor arrival monitoring using regression analysis. J. For. Sci. 2018;64(7):303-312. doi: 10.17221/20/2018-JFS.
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