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Urban Public Transport Services in Selected Czech Towns

Horák, Jiří

Abstract

Urban public transportation systems in 26 selected Czech municipalities are studied using their timetables, location of stops, and price survey. The methodology of their processing is proposed. A set of indicators describing spatial accessibility, performance, and prices are analysed mainly for their relationships to the population with an indication of the municipalities which most deviate from common trends. A proposed four-dimensional evaluation system covers the spatial accessibility operationalised by the number of stops, the service frequency using the number of trips per route, the velocity for selected transport mode and the cost assessedby the price of a one-year ticket or equivalent. The results show the fare fees do not correspond to the performance of urban public transport.

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GeoScience Enginee ing Vol. 69 (2023), No. 1 geoscience.cz pp. 56–68, ISSN 1802-5420 DOI 10.35180/gse-2023-0089 URBAN PUBLIC TRANSPORT SERVICES IN SELECTED CZECH TOWNS Jiří HORÁK , Pa el KUKULIAČ , Ondřej KOLODZIEJ VSB – Technical Uni e si y o Os a a, Facul y o Mining and Geology, Depa men o Geoin o ma ics, Os a a, Czech Republic E-mail: [email p o ec ed] ABSTRACT U ban public anspo a ion sys ems in 26 selec ed Czech municipali ies a e s udied using hei ime ables, loca ion o s ops, and p ice su ey. The me hodology o hei p ocessing is p oposed. A se o indica o s desc ibing spa ial accessibili y, pe o mance, and p ices a e analysed mainly o hei ela ionships o he popula ion wi h an indica ion o he municipali ies which mos de ia e om common ends. A p oposed ou -dimensional e alua ion sys em co e s he spa ial accessibili y ope a ionalised by he numbe o s ops, he se ice equency using he numbe o ips pe ou e, he eloci y o selec ed anspo mode and he cos assessed by he p ice o a one-yea icke o equi alen . The esul s show he a e ees do no co espond o he pe o mance o u ban public anspo . Keywo ds: Clus e analyses; Czechia; Public anspo ; Reg ession analyses; Time schedule; U ban anspo . 1 INTRODUCTION U ban Public T anspo (UPT) ep esen s he mos impo an mode o public anspo acco ding o he numbe o passenge s. In 2015 UPT anspo ed 2160.8 mil passenge s in Czechia, which accoun ed o 80% o he o al public anspo (PT) and 44% o he o al passenge anspo [1]. The dominan ole o UPT wi hin PT pe sis s, and he di e ences in he las i e yea s a e no signi ican . The sha e o passenge anspo pe o mance (pskms) in UPT ep esen s almos 37% o all PT and 14% o he o al passenge pe o mance; he smalle pe cen age is due o sho e ips. Despi e he doub less impo ance o u ban public anspo sys ems (UPTS), he UPT s ill s ays away om he main in e es o geog aphe s. While na ional o egional public anspo e alua ions a e ela i ely equen opics, especially when discussing poo anspo se iceabili y o u al and pe iphe al a eas [2–4], he e alua ion and compa ison o UPTS a e missing. Time able da a a e commonly used o PT passenge ou ing. Seconda ily, hey can also be u ilised o analysing he s uc u e and o ganiza ion o PT ne wo ks [5–7], compa ing how PT ne wo ks a e s uc u ally o ganized ac oss ci ies [8–11] as well as he accessibili y and he le el o se ice hese ne wo ks p o ide [7, 12–14]. U iliza ion o public anspo ables o geog aphical esea ch pu poses is no a e, bu hey a e usually used o calcula e equencies o ansi connec ions o ehicles in selec ed ime pe iods be ween O igins and Des ina ions o measu e he in ensi y o in e ac ion. Michniak [15] u ilizes he equency o links o analyse in e na ional linkages o dis ic s in Slo akia as a p oxy o he in ensi y o in e ac ions. Ma ada e al. [16] e alua e public anspo ime schedules o he yea s 2000 and 2006 using he weigh ed equency o connec ions. The usage o u ban public ime ables is qui e a e. The spa ial accessibili y o u ban PT s ops in České Budějo ice was s udied by K a [17]. The accessibili y o supe ma ke s and hype ma ke s in B a isla a was e alua ed by 57 GeoScience Enginee ing Vol. 69 (2023), No. 1 geoscience.cz pp. 56–68, ISSN 1802-5420 DOI 10.35180/gse-2023-0089 K ižan [18], who uses a el ime be ween each u ban dis ic and supe ma ke s calcula ed om ime ables o e alua e accessibili y in he u ban en i onmen using eigh di e en ypes o accessibili y measu es. Ho ňák e al. [19] ha e s udied di ec ain and bus links om he ime ables o 1989, 1999 and 2011 o analyse he accessibili y and changes o accessibili y o eigh Slo ak u ban cen es. Nykl e al. [20] e alua ed u ban anspo accessibili y using ime ables o public anspo analysis, an inno a i e Dijsk a’s algo i hm, and comple e maps o oad, oo pa h and cycleway ne wo ks. The aim o his s udy is o demons a e he abili y o elabo a e a se o indica o s o an e ec i e quan i a i e e alua ion o UPTS om ime ables, o e alua e and compa e selec ed municipali ies o a ious sizes ac oss Czechia and o e eal o wha ex en he le el o UPT se ices de e mined by he municipal size. I a ouses he ollowing esea ch ques ions: How o e alua e he le el o UPT se ices? Is he popula ion he main in luencing ac o ? Does he p ice o cus ome s co espond o he le el o UPT se ices? 2 EVALUATION OF UPTS The e alua ion o UPTS a ies om he mos complex and mul idimensional cha ac e is ics o sho lis s o selec ed ac o s sui able o speci ic pu poses. Basically, we can dis inguish objec i e and subjec i e indica o s whe e he la e g oup e e s o a di ec e alua ion o a i udes, eelings and opinions o passenge s, which a e usually analysed om su eys, social ne wo ks o moni o ing o a el beha iou . Ob iously, subjec i e ac o s e lec some le el o he objec i e c i e ia ha may be unde s ood as p ima y ac o s. The complexi y o e alua ion is ela ed o ou e o o c ea e a sus ainable u ban anspo sys em (SUTS). I equi es s eng hening a ious sys em ea u es, including accessibili y and mobili y, eliabili y and e iciency, as well as sa e y and secu i y, social equi y, con enience and com o [21]. Add essing all ea u es and c ea ing a uni e sal e alua ion is a e y ha d ask. Fo example, Ľup ák e al. [22] speci ied he quali y o he p o ided anspo se ices by a se o he ollowing aspec s: egula i y, eliabili y, sa e y, speed, economy, easonable cos , ecology, com o , pe o mance and a ailabili y; ne e heless, he p oposed ac o s we e measu ed by desc ip i e (quan i a i e) indica o s like se e al ypes o ime, dis ances, speeds and he numbe o connec ions, whe eas he only quali a i e aspec was he ype o ain. Al Mamun and Lownes [23] p o ided a mo e conc e e se o ecommended measu es: Se ice Co e age, Time-o -Day, Wai ing Time, Se ice F equency, Demog aphic da a, Vehicle Capaci y, Rou e Co e age, T a el Time, T a el Cos , Hou s o Se ice, Walking Rou e, Access dis ance, Com o & pa king, and Ne wo k connec i i y. O he au ho s a e ocused only on selec ed c i e ia which, acco ding o hei opinions, dominan ly in luence he e iciency and u ilisa ion om he use ’s poin o iew. Fo example, acco ding o Cede e al. [24], an e ec i e public anspo se ice can be de ined as minimum in- ehicle a el ime and wai ing ime; A ila-To es e al. [25] emphasize also low a e in addi ion o less a el ime and less wai ing ime. Some au ho s ad oca e he key ole o di ec connec ions in public anspo u ilisa ion, e.g., K izan e al. [26] in he complex e alua ion o he accessibili y o supe ma ke s in B a isla a o Ho ňák e al. [19] o he e alua ion o in e egional communica ion. Ano he app oach is o apply measu es based on he g aph heo y. B inke [27] ecommended he use o ne wo k de iali y, ne wo k densi y ( ela ed o bo h he a ea and he popula ion), and connec i i y. We can summa ize ha he ollowing key objec i e ac o s a e conside ed: 1. Spa ial accessibili y o he anspo – app op ia e me ics a e he ne wo k densi y, numbe o s ops, s op densi y, ope a ional leng h o a e age dis ance o s ops. Fo he in eg a ion o une en spa ial dis ibu ion o sou ces and des ina ions, i is ecommended o calcula e also sha es o popula ion, buildings, o POIs well accessible om s ops. 2. Se ice equency – ela ed o wai ing ime, wi h app op ia e indica o s o he numbe o depa u es pe s op o he numbe o ips pe ou e. Al e na i ely, he numbe o ips pe day can be applied as a joined indica o o bo h accessibili y and equency. 3. Veloci y – ela ed o in- ehicle ime, exp essed di ec ly by he a e age speed. 4. Fa e – exp essed by he annual subsc ip ion (p ice pe yea ). We can conclude he ideal UPTS has high accessibili y (high ne densi y, low dis ances), high se ice equency (low wai ing ime, high ips pe ou e, high ips, high depa u es), high speed, low a e, high a iabili y and low 58 GeoScience Enginee ing Vol. 69 (2023), No. 1 geoscience.cz pp. 56–68, ISSN 1802-5420 DOI 10.35180/gse-2023-0089 de iali y. Co esponding s uc u al and pe o mance indica o s should be a base o a comp ehensi e quan i a i e e alua ion o UPT. A c i ical aspec is ime. A a ia ion o indica o s du ing a day o week cycle should be included in he e alua ion. In his s udy, empo al changes a e e lec ed by indica o s enume a ing di e ences be ween se ices on Wednesday (Wed.) and Sunday (Sun.). 3 DATA SOURCES AND METHODOLOGY In o ma ion abou he geog aphical ex en o UPTS in Czechia is no easily a ailable. We can e alua e he s a us acco ding o he lis o downloadable u ban ime ables on he CHAPS ( he adminis a o o he Na ional In o ma ion Sys em on Regula Public Passenge T anspo Time ables) websi e. O 6253 municipali ies (middle 2015), 103 decla e o ha e hei own u ban anspo . O cou se, many o he municipali ies, especially on he ou ski s o la ge ci ies, a e se ed by a public anspo company ope a ing om he cen al ci y. Fo example, P ague Public T anspo Company Inc. ope a es in 39 o he municipali ies, B no Public T anspo in 23, and Os a a T anspo in 20 (No embe 25, 2015). The expansion o he su oundings con inuously g ows, especially in he case o P ague, whe e, since 2015, new ex e nal zones 8 and 9 we e added. The e alua ion is complica ed by joining UPTS in o egional PT sys ems, which may co e he ull NUTS2 o an e en la ge a ea (Fig. 1). The in eg a ion o PT se ices in he case o B no UPTS co e s he ull Sou h-Mo a ian egion. Figu e 1. Ex ension o in eg a ed UPTS ope a ed o 26 selec ed municipali ies in Czechia. Sou ce: au ho s’ elabo a ion The numbe , ex en and mix u e o UPTS complica e compa a i e analysis. App op ia e da a is no publicly a ailable and no ee o cha ge. Al hough s ill mo e and mo e wo ldwide ci ies p o ide hei ime ables in GTFS o ma and new s anda dised da a se s a e a ailable [28], he local PT si ua ion in smalle owns is hidden and di icul o quan i y, measu e and e alua e. Howe e , in such places, a ious issues can be an icipa ed. The high numbe o passenge s, ich subsidies and long- e m con inual p og ess in la ge ci ies guide owa ds well-de eloped UPTS. On he con a y, smalle municipali ies mee di icul ies in how o assu e a good le el o public anspo se ices a a easonable cos . 59 GeoScience Enginee ing Vol. 69 (2023), No. 1 geoscience.cz pp. 56–68, ISSN 1802-5420 DOI 10.35180/gse-2023-0089 The limi ed inancial sou ces and in e es o go in o de ail in some aspec s equi ed o limi he numbe o analysed municipali ies o 26, which ep esen s app oxima ely one qua e o all municipali ies o ganising hei own UPTS in Czechia. The selec ion co e s all egional capi als and 13 smalle owns. Among a ious possible selec ion c i e ia, local elie is conside ed one o he impo an ac o s whe e la ge e ical change should complica e he se ice, he ne cons uc ion and he speed. Hence, he digi al model o elie om A cCR500 o e laid municipal polygons, he minimal and maximal ele a ions wi hin polygons we e eco ded and he ollowing owns we e selec ed: municipali ies wi h a high ele a ion and high a iabili y (V chlabí, Děčín, Os o , Vimpe k, T u no and Jablonec nad Nisou), low a iabili y and/o low ele a ion (Ha ířo , Dačice, Teplice, Kladno, S říb o, Uhe ské H adiš ě and Bys řice nad Pe nš ejnem). Da a on u ban anspo ime ables om 26 selec ed Czech owns was bough in 2016. Full- ime schedules, incl. he loca ion o e e y pos o u ban anspo s ops, we e expo ed o 2 days, No embe 25 (Wednesday) and No embe 29 (Sunday), 2015. Da a does no con ain ime ables o any anspo , bu only hose assigned o u ban anspo sys ems. The impo an ques ion was how o es ablish an app op ia e ange o analysis. A UPTS can con ain se ices o di e en p o ide s (including Czech Railways, e.g.) and usually co e s no only he cen al own bu also su ounding municipali ies, e lec ing he equi ed su icien anspo connec i i y wi h he mic o egion co e. I is ob ious ha only la ge municipali ies es ablish hei own public anspo company o p o ide UPTS. Such se ices in smalle owns a e usually gua an eed by companies p o iding se ices in he egion (i.e. KAD o V chlabí, Osnado o T u no ), in he g oup o ci ies (usually pai s like Libe ec-Jablonec n.N., Zlín-O oko ice) o , on he con a y, by small p i a e companies (Zla o ánek o Bys řice n.P. o Jose Š e l Tou o Dačice). The s udy is ocused on all PT se ices wi hin he adminis a i e bounda ies o he main municipali y, including all se ices ( om di e en p o ide s) o e ed o cus ome s in he ame o he uni ied u ban a e ees (Fig. 2). The basic idea is o e alua e how many se ices a e p o ided o cus ome s, in o he wo ds, how e icien he sys em is om he use ’s poin o iew. Only some o he ele an ques ions we e e alua ed o he se ice o he main p o ide (i.e., a e age eloci y). Figu e 2. UPT ne wo k in 26 selec ed municipali ies in Czechia. Sou ce: au ho s’ elabo a ion The municipal popula ion was calcula ed by agg ega ing he popula ion om he las census (2011) assigned o buildings (da a RÚIAN, 2016) wi hin app op ia e municipal polygons. In he case o a sepa a e municipal a ea, 60 GeoScience Enginee ing Vol. 69 (2023), No. 1 geoscience.cz pp. 56–68, ISSN 1802-5420 DOI 10.35180/gse-2023-0089 only he main a ea was selec ed. The popula ion densi y was calcula ed as he a io o his popula ion and he ele an a ea. Clea ly, he delimi a ion o he ci y by adminis a i e bo de s is no sui able o all pu poses. A di e en app oach was applied by Kujala e al. [28], who de ined o each ci y a cen e-poin and selec ed he ci y a ea by spa ial il e ing wi h he speci ied bu e adius ( om 10 o 50 km, acco ding o he ci y). Da abase p ocessing played a key ole in da a managemen , con ol and analysis. The o iginal da a (CSV o ma , 126 MB) was impo ed in o he da abase. The p e-p ocessing was ocused on e o de ec ion and co ec ion o e o s o assu e da a consis ency du ing calcula ions, selec ion o ep esen a i e ips, da a agg ega ion, and in e sec ion wi h a egis y o buildings. The ex en o p ocessing may be documen ed by he di e ence be ween he o iginal da a and he inal size o he da abase, which is 2161 MB. G ea a en ion has o be paid o e o de ec ion and epai . The da a is no e o -p one and con ains a ious kinds o issues (e o s, imp ecisions – imp ecise eco ding o me age when in o ma ion sys ems o some p o ide s eco d only kilome es and no me e s, inaccu a e loca ion o s ops, and duplica es – epea ed ou es and ips due o o e lapping expo s o di e en ci ies o di e en schedule es ic ions). Especially duplica es ha e o be ca e ully elimina ed; o he wise, esul ing s a is ics will be signi ican ly biased. The se iousness o his p oblem can be seen om he e idence ha in he o iginal da a se almos 2/3 o eco ds a e duplica ed. The mul ile el con ol sys em has o c oss-check any o m o inconsis encies in da a o de ec po en ial p oblems. I was necessa y o b eak down e e y ou e o edges ep esen ing elemen a y mo emen be ween wo consecu i e s ops. Fo each edge, depa u e imes, a i al imes, and cumula i e me age we e eco ded. F om his p ima y da a, he a el ime, a el and Euclidean dis ances we e calcula ed. The speci ic issue is how o deal wi h imp ecise eco ds whe e he cumula i e dis ance (me age) is eco ded, wi h p ecision limi ed o km (no decimal places). Wi hou co ec ions, he da a consis s o edges o ze o leng h, which causes e o s in local eloci y calcula ions. Fu he con ol checks i he a el dis ance is la ge han he Euclidean dis ance. To sol e hese issues, a 3-s ep da a adjus men sys em was adop ed. Fi s , all s ops wi hin 1 km (all eco ds wi h he same me age = cumula i e dis ance) we e equally dis ibu ed wi hin his kilome e. Second, he mo ing a e age was applied o smoo h sudden changes be ween edges. And inally, he dis ances we e adjus ed o be equal o o la ge han he Euclidean dis ance. In such a way, da a consis ency is assu ed. Ano he ype o con ol calcula es local eloci ies and checks (and epai s) all un ealis ic alues (speed). The p e-p ocessing also includes p epa a o y da a modi ica ions. Fo some asks, a ep esen a i e ip o each link ( ou e) was selec ed (examples in Fig. 3). I was assumed he longes ip in wo king days would bes ep esen he ou e. Using he ep esen a i e ip, he ope a ional leng h was enume a ed. The second main p epa a o y ask was o c ea e anspo s ops by agg ega ion acco ding o he name o he s op om he o iginal se o all anspo pos s. Figu e 3. Simpli ied anspo ne wo k in H adec K álo é (le ) and České Budějo ice ( igh ). Sou ce: au ho s’ elabo a ion. S ops and ou es modi ied om CHAPS L d. da a 61 GeoScience Enginee ing Vol. 69 (2023), No. 1 geoscience.cz pp. 56–68, ISSN 1802-5420 DOI 10.35180/gse-2023-0089 3.1 Spa ial accessibili y o PT The alues o he main indica o s o e alua ing spa ial accessibili y o all explo ed municipali ies we e enume a ed. We can no e ha he numbe o s ops and he ope a ional leng h di ec ly depend on he municipal size, while o he s a e conside ed ela i e o neu al indica o s. The numbe o s ops indica es he accessibili y o UPTS and i s se ices. I is belie ed ha a highe numbe (o densi y) o s ops is mo e ad an ageous, especially in he case o local ips. Ob iously, he numbe o s ops depends on he a ea and popula ion o he municipali y. The eg ession model sugges s a e y high co ela ion (R2 o he quad a ic equa ion is 0.994) be ween popula ion and he numbe o s ops (Fig. 4). Using 5% con idence in e als, we can dis inguish an unusually high and low numbe o anspo s ops. An exceeding numbe o s ops on wo king days can be seen in Libe ec, Ús í nad Labem, Olomouc, Zlín, Ka lo y Va y, Děčín and Jablonec nad Nisou. On he opposi e, an abno mally low numbe o anspo s ops a e a ailable o esiden s in České Budějo ice, Ha ířo , Kladno and Uhe ské H adiš ě. Figu e 4. Numbe o s ops ela ed o popula ion (le ) and popula ion densi y ( igh ). Sou ce: au ho s The desc ip ion o he si ua ion can be well supplemen ed by mapping he ela ionship be ween densi ies. Jablonec has he highes densi y o s ops o medium popula ion densi y. I s ex eme posi ion is clea ly po ayed in he g aph o he ela ionship be ween he s op densi y and popula ion densi y (de ail in ig. 4). The ela i ely high s op densi y is in Ka lo y Va y, while e y low densi y is in P ague, Ha ířo and Uhe ské H adiš ě. The empo al di e ences show hese indica o s a e s ongly ime-dependen . Especially in small owns, we can see a d ama ic educ ion in he numbe o s ops be ween wo king and non-wo king days. On wo king days, UPTS p o ides se ices o p ac ically all s ops, bu on weekends he numbe is educed. Di e ences in he numbe o s ops a e negligible o la ge owns (usually se ice declines by 2–9%), bu small owns signi ican ly educe hei se ice in ex eme si ua ions o ze o (Vimpe k, Dačice). Mo e han a 10% educ ion is me in S říb o, Jablonec nad Nisou, T u no , Os o and Bys řice nad Pe nš ejnem. The ex en o he UPTS can be ela ed o he ope a ional leng h (Fig. 5). The ope a ional leng h ep esen s he o al leng h o all ou es inside a ci y o all p o ide s wi hou duplica e edges. I should be aken in o accoun ha he esul is di e en om he ope a ional leng h p o ided by he main UPTS p o ide s. This analysis includes only pa o UPT loca ed inside he ci y and o all p o ide s. Abno mally high (abo e 5% con iden ial in e al) ope a ional leng h inside a municipali y is in Libe ec, in con as o he unusual low in České Budějo ice. Qui e low ope a ional leng h (bu no signi ican ly low) is in Ha ířo , Teplice, and Kladno. 62 GeoScience Enginee ing Vol. 69 (2023), No. 1 geoscience.cz pp. 56–68, ISSN 1802-5420 DOI 10.35180/gse-2023-0089 The ne densi y (Fig. 5) was calcula ed as he sum o unique anspo edges inside he ci y di ided by he o al a ea o he ci y. Simila esul s o ope a ional leng h can be ound o he eg ession analysis wi h he ne densi y. Excep ionally high ne densi y is in Jablonec nad Nisou; a high alue is also ound in Libe ec, while Teplice o Kladno ha e e y low ne densi ies. Figu e 5. Ope a ional leng h ela ed o popula ion (le ) and ne wo k densi y ela ed o popula ion densi y ( igh ). Sou ce: au ho s The a e age dis ance be ween s ops ep esen s a equen ly used indica o ela ed o he accessibili y o PT sys ems. Sho e dis ances imp o e he accessibili y o he se ice; ne e heless, i nega i ely in luences he a e age speed o he anspo . Sho dis ances be ween s ops (Fig. 6) can be ound in No he n Bohemia (Ús í n.L., Teplice, Jablonec n.N.) (abou 540–550 m). Dis ances abo e a e age a e in smalle owns: V chlabí, Vimpe k, Uhe ské H adiš ě, and S říb o (a ound 900 m). Figu e 6. A e age dis ance be ween s ops ela ed o popula ion densi y. Sou ce: au ho s 63 GeoScience Enginee ing Vol. 69 (2023), No. 1 geoscience.cz pp. 56–68, ISSN 1802-5420 DOI 10.35180/gse-2023-0089 3.2 Se ice equency The basic e alua ion o he anspo equency can be eached om he numbe o ips pe day, bu i should be conside ed i is a join indica o co e ing pa ly bo h equency and accessibili y. A eg ession analysis (Fig. 7) be ween he popula ion and he numbe o ips pe day p o ides mo e simple esul s han in he case o he numbe o s ops. All owns excep B no show an expec ed numbe o ips. B no has a highe numbe o ips pe day han expec ed. Mo e han a 50% empo al dec ease can be seen in all explo ed owns wi h popula ions below 50,000 excep o Ka lo y Va y (only a 29% dec ease). F om la ge owns, České Budějo ice belongs o his g oup (–52%). F om mid-size owns, we can also no ice Olomouc has a e y small dec ease in se ice on Sunday (only a 30% dec ease). Simila esul s can be ob ained om he e alua ion o all ips (no only inside he ci y) whe e he pe cen age dec ease is he same, excep o h ee owns, B no (–55%), Jablonec (–61%) and Bys řice (–74%). Figu e 7. Numbe o ips pe day (le ) and pe ou e ( igh ) ela ed o popula ion. Sou ce: au ho s The main equency indica o , he a e age numbe o ips o one ou e, shows how ou es a e ac i e. The high a e age numbe o ips pe ou e is ypical o la ge ci ies; wi hin hem, Plzen is he leade , while P ague occupies he second place. This big e ad is ollowed by some mid-size egion capi als like České Budějo ice ( he same numbe as Os a a), Jihla a, Teplice, Olomouc and Ús í nad Labem. On he opposi e, Dačice and Vimpe k ha e he weakes ac i i y on ou es. F om he ela ionship be ween popula ion densi y and an a e age numbe o ips pe ou e (Fig. 7), we can see weak ac i i y o Ha ířo , Kladno, Jablonec nad Nisou and Uhe ské H adiš ě, and a good equency ela ed o popula ion densi y in Plzeň and Jihla a. I we compa e he a e age numbe o ips pe ou e on Wednesday and Sunday, we ound qui e a wide ange o mani es a ions om 0-change (Jablonec nad Nisou), e y small (less han 20%) in Olomouc, Libe ec, H adec K álo é; h ough usual decline a ound 20–30% o a se ious d op down mo e han 50% o Bys řice nad Pe nš ejnem, S říb o, T u no , Uhe ské H adiš ě, V chlabí, and wo known owns wi h no ope a ions on Sunday (Dačice, Vimpe k). Ano he equency indica o , he a e age numbe o depa u es om each s op pe day, shows e en be e he posi i e ela ionships o he popula ion size (Fig. 8). The ela ionship is almos linea o smalle owns (less han 64 GeoScience Enginee ing Vol. 69 (2023), No. 1 geoscience.cz pp. 56–68, ISSN 1802-5420 DOI 10.35180/gse-2023-0089 150,000 inhabi an s). Fu he inc ease in he a e age numbe o depa u es wi h popula ion is mode a e and con i ms he o de o popula ion size o he ou la ges ci ies. Figu e 8. A e age numbe o depa u es om each s op pe day ela ed o popula ion (le ) and popula ion densi y ( igh ). Sou ce: au ho s The ela ionship o popula ion densi y (Fig. 8 igh ) is weake (R2 only 0.542), and de ia ions o owns om he linea ela ionship a e no signi ican , e en hough we can see some di e ences among owns. I.e., Ha ířo , Kladno, Jablonec, Uhe ské H adiš ě demons a e a lowe numbe o depa u es han wha is expec ed by he eg ession model. Tempo al changes (Wed.-Sun.) in he numbe o depa u es om each s op pe day a e no as a iable as he p e ious indica o . The lowes changes a e in Bys řice (bu due o he small size o UPTS, i is no a con iden esul ) and in Olomouc. The bigges changes (sha p dec ease o he se ice on Sun.) a e in Uhe ské H adiš ě, S říb o and Os o . 3.3 Veloci y Veloci y is an impo an aspec o anspo connec ion quali y. I is ecommended o e alua e he a e age eloci y in a municipali y acco ding o he anspo mode. The compa ison is based on bus eloci ies, which is he only PT mode a ailable in all municipali ies. When compa ing u ban bus eloci y, he lowes speed is in Ka lo y Va y and Jablonec n. N. (abou 20 km/h), which co esponds wi h he idea o e ically a iable and na ow s ee s and he occu ence o geog aphical ba ie s ( i e s, e c.). Ne e heless, he ela ionship o he e ical changes is no simple (Fig. 9). The highes ele a ion di e ences can be seen o Děčín wi h below-a e age bu no lowes eloci y. The la es elie is in Pa dubice and H adec K álo é wi h a nea -a e age eloci y. We may conclude ha local elie is less impo an han o he anspo ac o s. High eloci ies o u ban buses a e in Os o , Uhe ské H adiš ě, S říb o (smalle owns) and Plzeň and Os a a om he g oup o la ge ci ies.