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Public recreation is an environmental aspect affecting not only the environment

Brandejs, David; Vařechová, Martina; Klika, Pavel; Hlavinková, Vítězslava

Abstract

Optimal recreation should lead to the regeneration of the organism, which is conditioned by a retreat from everyday worries and work responsibilities. The most efficient and reliable way is to travel to places that are almost the opposite of everyday life. The diversity of requirements of individuals who are tired of physical or mental work logically implies the diversity of recreational areas. There are a large number of cultural and natural monuments, mountain resorts, spas and water areas. However, the increased concentration of tourists in these localities may be ambivalent. A positive economic effect can be the reduction of unemployment and the development of local business in tourist attractions. These aspects lead to longer-term regional stability. The negative impact is mainly environmental pollution by carbon dioxide emissions. In some cases, there is also unwanted noise pollution, light smog and changes in local hydrogeology associated with unplanned development. With the growing popularity of travel, the demands on the quality and quantity of not only holiday accommodation are growing, which has led to a sharp rise in property prices in this segment. The study maps how the environmental aspect of the attractiveness of a holiday or tourist destination affects the value of residential real estate.

Full text

259 PUBLIC RECREATION IS AN ENVIRONMENTAL ASPECT AFFECTING NOT ONLY THE ENVIRONMENT Da id B andejs, Ma ina Vařecho á, Pa el Klika, Ví ězsla a Hla inko á B no Uni e si y o Technology, Ins i u e o Fo ensic Enginee ing, Pu kyňo a 118, 612 00 B no, Czech Republic h ps://doi.o g/10.11118/978-80-7509-831-3-0259 Abs ac Op imal ec ea ion should lead o he egene a ion o he o ganism, which is condi ioned by a e ea om e e yday wo ies and wo k esponsibili ies. The mos e icien and eliable way is o a el o places ha a e almos he opposi e o e e yday li e. The di e si y o equi emen s o indi iduals who a e i ed o physical o men al wo k logically implies he di e si y o ec ea ional a eas. The e a e a la ge numbe o cul u al and na u al monumen s, moun ain eso s, spas and wa e a eas. Howe e , he inc eased concen a ion o ou is s in hese locali ies may be ambi alen . A posi i e economic e ec can be he educ ion o unemploymen and he de elopmen o local business in ou is a ac ions. These aspec s lead o longe - e m egional s abili y. The nega i e impac is mainly en i onmen al pollu ion by ca bon dioxide emissions. In some cases, he e is also unwan ed noise pollu ion, ligh smog and changes in local hyd ogeology associa ed wi h unplanned de elopmen . Wi h he g owing popula i y o a el, he demands on he quali y and quan i y o no only holiday accommoda ion a e g owing, which has led o a sha p ise in p ope y p ices in his segmen . The s udy maps how he en i onmen al aspec o he a ac i eness o a holiday o ou is des ina ion a ec s he alue o esiden ial eal es a e. Key wo ds: En i onmen , ou ism, ou is si es, economic impac s In oduc ion A ypical ou is a ac ion o he Sou h Mo a ian Region is he his o ic own o Znojmo, in he Czech Republic, whe e, in addi ion o publicly accessible monumen s, o he in e es ing cul u al e en s ake place in a ew days. The numbe o accommoda ed isi o s is eco ded in he Czech S a is ical O ice da abase. This ac was used o c ea e a s a is ical model. Ma e ials and me hods The basic and mos impo an basis o e alua ing he esea ch goal a e p ice da a on ealized sales o eal es a e wi h a esiden ial unc ion and s a is ical da a om he public da abase o he Czech S a is ical O ice on he de elopmen o ou ism. As pa o he esea ch p ojec , 5 cadas al a eas in Sou h Mo a ia we e examined, which we e e alua ed as he mos isi ed in e ms o ou ism. The ci y o B no, wi h i s speci ic ma ke , a ea and popula ion, was no included in he esea ch. In his pape , only a pa ial pa o he achie ed esul s is p esen ed. A mode n s a is ical me hod, dependence analysis, was used o e alua e he en i onmen al aspec desc ibed abo e. The mos impo an ools used in his analysis a e co ela ion and eg ession analysis. The ou pu o he co ela ion analysis is a co ela ion coe icien , which be ween he wo a iables indica es he deg ee o hei mu ual co ela ion. Pea son's co ela ion coe icien was used o e alua e he s eng h o he co ela ion. Reg ession analysis is one o he mos commonly used s a is ical me hods ha can examine he ela ionship be ween wo a iables. The ou pu o he eg ession analysis is, among o he hings, he so-called P alue, which indica es how signi ican he c ea ed s a is ical model is and he so-called Signi icance F, which exp esses he s a is ical signi icance o he en i e eg ession model and he sui abili y o he selec ed eg ession unc ion. A simple linea eg ession was chosen o e alua e all si es. Resul s One o he locali ies ha was in es iga ed is he own o Znojmo in he Sou h Mo a ian Region. The subjec o he esea ch was eal es a e wi h a esiden ial unc ion, speci ically amily houses and esiden ial buildings. By emo e access o he eal es a e cadas e, da abases o all p ice da a om cadas al a eas we e ob ained o all egis e ed pe iods (2014 - p esen ), om which da a on eal es a e wi h a esiden ial unc ion we e subsequen ly analysed. 260 Subsequen ly, speci ic p ice da a om he eal es a e cadas e we e eques ed, which we e p ocessed in o da abases and assigned o he assessed eal es a e. Based on p ices. da a, cadas al maps and map po als, he ag eed p ice pe m2 / yea was de e mined acco ding o he buil -up a ea o buildings, s o ey o buildings and p ice da a, which we e e alua ed on a e age in each yea and each cadas al a ea. In his way, he ag eed p ice pe m2 / yea o buil -up a ea o each p ope y was de e mined. A e age p ices a e clea ly shown in Table 1. - De elopmen o p ices. A he ime o he esea ch, some da a o 2021 we e no ye a ailable, o his eason he ime se ies a e only p ocessed un il 2020. Tab. 1: De elopmen o p ices (Sou ce: Own p ocessing) P ice de elopmen in CZK / m2 2014–2021 c. ./ yea 2014 2015 2016 2017 2018 2019 2020 2021 Znojmo 10 058 9 899 12 807 13 437 14 726 14 831 16 030 -------- The ollowing g aph also F egula shows he de elopmen o p ices. 0 2 000 4 000 6 000 8 000 10 000 12 000 14 000 16 000 18 000 2014 2015 2016 2017 2018 2019 2020 P ice in CZK/m2 Yea P ice de elopmen G aph. 1 De elopmen o p ices (Sou ce: Own p ocessing) S a is ical da a om he public da abase o he Czech S a is ical O ice on he de elopmen o ou ism (numbe o ou is s who isi ed he si e) a e p ocessed in he ollowing able and g aph. Tab. 2: Tou ism de elopmen (Sou ce: Own p ocessing) Tou ism de elopmen 2014–2021 c. ./ yea 2014 2015 2016 2017 2018 2019 2020 2021 Znojmo 39 076 43 873 44 706 54 993 57 434 57 911 33 956 -------- A s a is ically signi ican abno mali y o he dec ease in he numbe o isi o s ( ou is s) in he yea s 2020–2021, caused by he co id pandemic, is no sui able o he model om he poin o iew o s a is ical assessmen and would comple ely dis o he esul s ob ained in he eg ession analysis. Fo his eason, he o al da a we e e alua ed only in he pe iod 2014–2019, inclusi e. A e he c ea ion, analysis and p ocessing o basic inpu da a, hese da abases we e es ed by he s a is ical me hods desc ibed abo e wi h he ollowing esul s. 261 0 10 000 20 000 30 000 40 000 50 000 60 000 70 000 2014 2015 2016 2017 2018 2019 2020 Tou ism de elopmen Yea Tou ism de elopmen 2014 - 2020 G aph. 2 Tou ism de elopmen (Sou ce: Own p ocessing) Loca ion Znojmo Znojmo is a ci y in he Sou h Mo a ian Region, 65 km sou hwes o B no and 80 km no hwes o Vienna. 34,000 inhabi an s li e he e. F om he poin o iew o ou ism, Znojmo Cas le, Loucký Monas e y and o he o me monas e ies, Znojmo chu ches and own houses a e especially sough a e . Some monumen s a e also en e ed in he lis s o cul u al monumen s o he Czech Republic. The ollowing cha shows he de elopmen o ou ism oge he wi h he p ice o eal es a e in he pe iod unde e iew (excluding he numbe o ou is s 2020). G aph. 3 De elopmen o ou ism and p ices (Sou ce: Own p ocessing) In he nex s ep, a unc ion o eg ession analysis was sough . The linea unc ion was e alua ed as he mos sui able. The linea dependence o he p ice on ou ism is clea ly shown in he g aph. R2 indica es he deg ee o explana ion o he in luence o ou ism on he p ice o eal es a e = 83.43%. Subsequen ly, a co ela ion analysis was pe o med. Pea son's co ela ion coe icien was chosen o e alua ion. co ela ion coe icien (Reliabili y se poin R) = 0.792 also indica es a s ong, posi i e linea co ela ion. Signi icance F = 0.0109 is lowe han he signi icance le el 0.05, he linea unc ion is app op ia e, and he o e all model is s a is ically signi ican . The alue o P = 0.01092 is lowe han he alue o S a and he chosen le el o signi icance α = 0.05 and p o es he dependence o he p ice on ou ism. The coe icien o de e mina ion (Reliabili y alue R) = 0.8343 indica es ha he in luence o ou ism on he p ice o eal es a e is explained by he a e o 83.43%. The s anda dized esidues a e less han 2 and hei sum is equal o 0. The alue o P is s a is ically signi ican . 262 A he le el o signi icance α = 5% and he le el o eliabili y 95%, he in luence o ou ism (numbe o ou is s) on eal es a e p ices in he cadas al a ea o Znojmo is p o en. y = 0,2474x + 337,33 R² = 0,8343 0 2 000 4 000 6 000 8 000 10 000 12 000 14 000 16 000 0 10 000 20 000 30 000 40 000 50 000 60 000 70 000 P ice (CZK) Numbe o ou is s P ice dependence on ou ism G aph. 4 P ice dependence on ou ism (Sou ce: Own p ocessing) Pea son co ela ion coe icien To al ou is s A e age p ice To al ou is s 1 A e age p ice 0,9134 1 Fig. 1Pea son co ela ion coe icien (Sou ce: Own p ocessing) E o ! No a alid link.Reg ession s a is ics cap u e he esul s o co ela ion and eg ession analysis. Reg ession s a is ics Mul iple R 0,913402904 Reliabili y alue R 0,834304866 Reliabili y se poin R 0,792881082 Mean alue e o 997,0047955 Obse a ion 6 ANOVA Di e ence SS MS F Signi icance F Reg ession 1 20020250,48 20020250,48 20,14072094 0,010923887 Residues 4 3976074,249 994018,5623 To al 5 23996324,72 Coe icien s Mean alue e o S a P alue Lowe 95% Top 95% Lowe 95.0% Topí 95,0% Bo de 337,3270123 2768,337135 0,121851854 0,908892706 -7348,809075 8023,463 -7348,81 8023,463 Tou is s 0,247432084 0,055133874 4,487841457 0,010923887 0,09435591 0,400508 0,094356 0,400508 Fig. 2 Reg ession s a is ics (Sou ce: Own p ocessing) The ollowing able shows he esidues and p obabili ies. RESIDUES PROBABILITY 263 Obse a ion Expec ed A e age p ice CZK / m2 Residues Expec ed A e age p ice CZK / m2 Pe cen ile A e age p ice CZK / m2 1 10005,98312 51,58127114 0,057842866 8,333333333 9898,616914 2 11192,91482 1294,297907 -1,45141634 25 10057,56439 3 11399,02575 1408,0171 1,578940224 41,66666667 12807,04285 4 13944,35959 507,1286153 - 0,568690373 58,33333333 13437,23098 5 14548,34131 177,6860887 0,199255899 75 14726,0274 6 14666,36641 164,1420621 0,184067725 91,66666667 14830,50847 Sum o esidues: 0,00 0,00 Fig. 3 Reg ession s a is ics - Residues (Sou ce: Own p ocessing) A co ela ion coe icien (Mul iple R) = 0.913 indica es a s ong, posi i e linea co ela ion. An adjus ed Discussion The expec ed assump ion o he in luence o ou ism on he p ice o eal es a e in Znojmo was con i med, howe e , o a co ec e alua ion and gene aliza ion i would be mo e conclusi e long- e m esea ch. I i would be possible o include ou is s no cap u ed in he da abase o s aying gues s in he esea ch, he dependence would p obably be e en mo e signi ican . Re inemen would be possible using geoloca ion da a om mobile ope a o s, bu his is only a ailable o he public adminis a ion. Conclusion The bene i s o local ou ism a e clea bu ising esiden ial p ope y p ices may also make housing less a o dable o local esiden s. The ac is ha since 2020, p ope y p ices ha e been ising s eeply almos all o e he Czech Republic, so i is impo an o ho oughly in es iga e he causes o he p ice ises and co ec ly demons a e ha hey a e caused by he ou is a ac ion o he loca ion. Re e ences Czech S a is ical O ice, a ailable om: h ps://www.czso.cz/, Czech Su eying and Cadas e O ice, a ailable om: h ps://cuzk.cz/U od.aspx Acknowledgemen The pape was p epa ed based on he esul s o „Speci ic uni e si y esea ch a VUT", egis e ed a VUT unde he numbe ÚSI-J-21-7453. The unds used o he p ocessing o he esea ch and he con ibu ion we e ully inanced by VUT. Souh n S udie mapuje, jak en i onmen ální aspek a ak i i y ek eační či u is ické des inace o li ňuje nejen ži o ní p os ředí, ale i hodno u ezidenčních nemo i os í (nejen ek eačních objek ů), což dokládá s a is ické yhodnocení za období le 2014 až 2019. Pozi i ním ekonomickým li em mohou bý u is icky a ak i ní lokali ě snížená nezaměs nanos a oz oj mís ního podnikání. Nesledo aným aspek em je ho ší ceno á dos upnos ezidenčních nemo i os í p o mís ní oby a ele. Con ac Ing. Da id B andejs E-mail: da id.b andejs@usi. u b .cz Open Access. This a icle is licensed unde he e ms o he C ea i e Commons A ibu ion 4.0 In e na ional License, CC-BY 4.0 (h ps://c ea i ecommons.o g/licenses/by/4.0/)