Influence of COVID-19 on mobility and traffic

Decembra 2019 se je na Kitajskem pojavil virus COVID-19, ki se je hitro razširil po celem svetu in povsem ohromil javno življenje in promet, tudi v Sloveniji. V diplomski nalogi analiziramo korelacijo epidemije ter vladnih ukrepov s spremembo gibanja prebivalstva in prometa. Ugotovimo, da je najbolj prizadel letalski ter javni promet, ki sta bila omejena s strani ukrepov. Visoke korelacije, predvsem z ukrepi, so bile tudi pri prometu osebnih avtomobilov. Wilcoxonov test je potrdil upad števila zaznanih avtomobilov. Motoristom so ukrepi zamaknili začetek motoristične sezone, sicer pa večjega vpliva ni bilo zaznati. Najmanjša korelacija je bila s tovornim prometom, ki je tudi med epidemijo oskrboval gospodarstvo. Pri gibanju prebivalstva smo ponovno dobili visoko korelacijo ukrepov z gibanjem prebivalstva pri večini kategorij. Povečalo se je le gibanje v stanovanjskih objektih. Applovi podatki so, nasprotno od Googlovih, pokazali zelo podobne korelacije med ukrepi oziroma številom okuženih in gibanjem. Podobno, kot drugje, je bil opazen velik vpliv epidemije na vožnjo in hojo prebivalcev Slovenije. Pri primerjavi podatkov, o zahtevkih za navodila za pot s cestnim prometom, smo prišli do ugotovitve, da navigacijo večinsko uporabljajo vozniki avtomobilov in motorjev, najmanj pa vozniki tovornih vozil. Izvorna koda analize ter predstavitev rezultatov v obliki spletne strani sta dostopna v javnem repozitoriju.In December of 2019 COVID-19 appeared in China, which quickly spread across whole world and completely paralyzed public life and traffic, even in Slovenia. In this thesis, we analyze correlation between epidemic, government measures, population mobility and traffic. We found out it affected air traffic and public traffic the most as they were restricted by measures. High correlations, especially with measures, were also with car traffic. Wilcoxon signed-rank test confirmed fall in numbers of cars detected. Measures moved the start of motorcycling season, but no other significant effect was seen. The lowest correlation calculated was with freight transport, which still supplied the economy even during the epidemic. Correlation between population mobility and measures was high again in most categories. Movement was higher only in residential buildings. As opposed to Google data, Apple data showed similar correlations of population mobility with measures and number of infections respectively. As with others, big influence of epidemic on driving and walking was noticeable. While comparing navigation requests data with road traffic we came to conclusion that navigation is used the most by car and motorcycle drivers and least by drivers of freight trucks. Analysis source code is available in public repository just like presentation of results in a form of web page