Ben Wellington: How we found the worst place to park in New York City — using big data

Translator: Nika Kotnik Reviewer: Klavdija Cernilogar

Six thousand miles of road,

9656 kilometrov cest,

600 miles of subway track,

965 kilometrov podzemne železnice,

400 miles of bike lanes

643 kilometrov kolesarskih poti,

and a half a mile of tram track,

in 804 metri tramvajske proge

if you've ever been to Roosevelt Island.

če ste kdaj bili na Roosevelt Island-u.

These are the numbers that make up the infrastructure of New York City.

To so številke, ki sestavljajo infrastrukturo mesta New York.

These are the statistics of our infrastructure.

To je statistika naše infrastrukture.

They're the kind of numbers you can find released in reports by city agencies.

To so številke, ki jih lahko najdete v poročilih mestnih agencij.

For example, the Department of Transportation will probably tell you

Na primer, Oddelek za transport vam bo najbrž povedal

how many miles of road they maintain.

koliko kilometrov ceste nadzorujejo.

The MTA will boast how many miles of subway track there are.

MTA se hvali, koliko km podzemne železnice je tu.

Most city agencies give us statistics.

Večina mestnih agencij nam da statistiko.

This is from a report this year

To je poročilo iz tega leta

from the Taxi and Limousine Commission,

iz Komisije za taksije in limuzine,

where we learn that there's about 13,500 taxis here in New York City.

kjer izvemo da je v mestu New York 13,500 taksijev.

Pretty interesting, right?

Precej zanimivo, kajne?

But did you ever think about where these numbers came from?

Ste kdaj pomislili, odkod vse te številke?

Because for these numbers to exist, someone at the city agency

Da te številke obstajajo, se je moral nekdo v mestni agenciji

had to stop and say, hmm, here's a number that somebody might want want to know.

ustaviti in reči, hmm, tu je številka, ki bi jo nekdo morda hotel vedeti.

Here's a number that our citizens want to know.

Tu je številka, ki jo želijo vedeti meščani.

So they go back to their raw data,

Vzamejo gole podatke,

they count, they add, they calculate,

štejejo, dodajajo, računajo

and then they put out reports,

in izdajo poročila,

and those reports will have numbers like this.

in ta poročila bodo imela številke, kot so te.

The problem is, how do they know all of our questions?

Težava je, kako vedo vsa naša vprašanja?

We have lots of questions.

Imamo veliko vprašanj.

In fact, in some ways there's literally an infinite number of questions

Pravzaprav je tu na nek način dobesedno neskončno število vprašanj,

that we can ask about our city.

ki jih lahko vprašamo o mestu.

The agencies can never keep up.

Agencije nas ne dohajajo.

So the paradigm isn't exactly working, and I think our policymakers realize that,

Paradigma torej ne deluje in mislim, da naši odločevalci to vedo,

because in 2012, Mayor Bloomberg signed into law what he called

ker je leta 2012 župan Bloomberg podpisal zakon, ki ga je označil za

the most ambitious and comprehensive open data legislation in the country.

najbolj ambiciozen in izčrpen zakon o dostopnih podatkih v državi.

In a lot of ways, he's right.

V veliko stvareh, je imel prav.

In the last two years, the city has released 1,000 datasets

V zadnjih dveh letih je mesto izdalo 1000 setov podatkov

on our open data portal,

na našem portalu dostopnih podatkov

and it's pretty awesome.

in to je precej neverjetno.

So you go and look at data like this,

Greste in takole pogledate podatke

and instead of just counting the number of cabs,

in namesto da bi samo šteli število taksijev,

we can start to ask different questions.

lahko vprašate različna vprašanja.

So I had a question.

Imel sem vprašanje.

When's rush hour in New York City?

Kdaj je prometna konica v New Yorku?

It can be pretty bothersome. When is rush hour exactly?

Lahko je neprijetna. Kdaj točno je prometna konica?

And I thought to myself, these cabs aren't just numbers,

In pomislil sem, ti taksiji niso samo številke,

these are GPS recorders driving around in our city streets

so GPS snemalniki, ki se vozijo po naših mestnih cestah

recording each and every ride they take.

in posnamejo vsako vožnjo.

There's data there, and I looked at that data,

Tu so podatki, in pogledal sem jih,

and I made a plot of the average speed of taxis in New York City throughout the day.

in grafično sem prikazal povprečno hitrost taksijev v mestu New York čez dan.

You can see that from about midnight to around 5:18 in the morning,

Lahko vidite, da se od polnoči do okrog 5:18 zjutraj

speed increases, and at that point, things turn around,

hitrost poveča in ta tej točki se stvari obrnejo

and they get slower and slower and slower until about 8:35 in the morning,

in postajajo počasnejše in počasnejše in počasnejše do 8:35 zjutraj,

when they end up at around 11 and a half miles per hour.

ko končajo pri 18 kilometrih in pol na uro.

The average taxi is going 11 and a half miles per hour on our city streets,

Povprečen taksi gre 18 kilometrov in pol na uro po naših cestah

and it turns out it stays that way

in izkaže se, da tako ostane

for the entire day.

ves dan.

(Laughter)

(Smeh)

So I said to myself, I guess there's no rush hour in New York City.

Pa sem si rekel, v mestu New York prometna konica ne traja eno uro.

There's just a rush day.

Traja kar cel dan.

Makes sense. And this is important for a couple of reasons.

To ima smisel. In je pomembno zaradi nekaj razlogov.

If you're a transportation planner, this might be pretty interesting to know.

Če si načrtovalec prevoza, je to zanimiv podatek.

But if you want to get somewhere quickly,

A če bi rad nekam prišel hitro,

you now know to set your alarm for 4:45 in the morning and you're all set.

veš, da moraš nastaviti alarm za 4:45 zjutraj in si pripravljen.

New York, right?

New York, kajne?

But there's a story behind this data.

A za temi podatki je zgodba.

This data wasn't just available, it turns out.

Ti podatki, se izkaže, niso bili kar na voljo.

It actually came from something called a Freedom of Information Law Request,

Prišli so iz obrazca po zakonu o javnih informacijah,

or a FOIL Request.

oziroma FOIL.

This is a form you can find on the Taxi and Limousine Commission website.

Na strani Komisije za taksije in limuzine lahko najdete obrazec.

In order to access this data, you need to go get this form,

Da bi lahko dostopali do teh informacij,

fill it out, and they will notify you,

morate izpolniti obrazec in obvestili vas bodo

and a guy named Chris Whong did exactly that.

in možakar Chris Whong je naredil točno to.

Chris went down, and they told him,

Chris je šel tja in povedali so mu:

"Just bring a brand new hard drive down to our office,

"Prinesi nov trdi disk v našo pisarno,

leave it here for five hours, we'll copy the data and you take it back."

pusti ga tu 5 ur, prekopirali bomo podatke in ti ga vzameš nazaj."

And that's where this data came from.

Od tu so prišli ti podatki.

Now, Chris is the kind of guy who wants to make the data public,

Chris je take vrste tip, ki bi rad te podatke naredil javne,

and so it ended up online for all to use, and that's where this graph came from.

zato so končali na spletu. Odtod tale graf.

And the fact that it exists is amazing. These GPS recorders -- really cool.

Dejstvo, da to obstaja, je neverjetno. Ti GPS snemalniki--res so kul.

But the fact that we have citizens walking around with hard drives

A dejstvo, da meščani s trdimi diski hodijo okrog agencij

picking up data from city agencies to make it public --

in dobivajo podatke, da bi jih objavili--

it was already kind of public, you could get to it,

bili so že delno javni, dostopni,

but it was "public," it wasn't public.

a bili so "javni", ne pa javni.

And we can do better than that as a city.

Veliko bolje lahko to naredimo kot mesto.

We don't need our citizens walking around with hard drives.

Ni treba, da naši meščani hodijo naokrog z diski.

Now, not every dataset is behind a FOIL Request.

Ni vsak set podatkov posledica obrazca FOIL.

Here is a map I made with the most dangerous intersections in New York City

Tu je zemljevid, ki sem ga naredil, z najbolj nevarnimi križišči v New Yorku,

based on cyclist accidents.

glede na kolesarske nesreče.

So the red areas are more dangerous.

Rdeča področja so bolj nevarna.

And what it shows is first the East side of Manhattan,

Prvo pokaže vzhodni del Manhattna,

especially in the lower area of Manhattan, has more cyclist accidents.

še posebej nižji predel Manhattna, ima več kolesarskih nesreč.

That might make sense

To ima morda smisel,

because there are more cyclists coming off the bridges there.

ker tu pride več kolesarjev z mostov.

But there's other hotspots worth studying.

A tudi druge vroče točke velja preučiti.

There's Williamsburg. There's Roosevelt Avenue in Queens.

Tu je Williamsburg. Pa Rooseveltova Avenija v Queensu.

And this is exactly the kind of data we need for Vision Zero.

Točno take podatke potrebujemo za Vizijo nič.

This is exactly what we're looking for.

Točno to iščemo.

But there's a story behind this data as well.

A tudi za temi podatki stoji zgodba.

This data didn't just appear.

Ti podatki se niso kar pojavili.

How many of you guys know this logo?

Koliko vas pozna tale logo?

Yeah, I see some shakes.

Ja, vidim nekaj kimanja.

Have you ever tried to copy and paste data out of a PDF

Ste kdaj poskušali kopirati podatke iz PDF formata

and make sense of it?

in jih nato urediti?

I see more shakes.

Še več kimanja.

More of you tried copying and pasting than knew the logo. I like that.

Več vas je kopiralo, kot pa vas je poznalo logo. To mi je všeč.

So what happened is, the data that you just saw was actually on a PDF.

Zgodilo se je, da so bili ti podatki pravzaprav v PDF formatu.

In fact, hundreds and hundreds and hundreds of pages of PDF

Pravzaprav na stotine in stotine strani PDF,

put out by our very own NYPD,

ki jih je izdala naša NYPD,

and in order to access it, you would either have to copy and paste

in da bi prišli do njih, bi morali kopirati in lepiti

for hundreds and hundreds of hours,

na stotine in stotine ur,

or you could be John Krauss.

ali pa bi bili John Krauss.

John Krauss was like,

John Krauss je menil,

I'm not going to copy and paste this data. I'm going to write a program.

ne bom kopiral in lepil teh podatkov. Program bom napisal.

It's called the NYPD Crash Data Band-Aid,

Imenuje se NYPD obliž za zlomljene podatke

and it goes to the NYPD's website and it would download PDFs.

in gre na stran NYPD in naloži PDF-je.

Every day it would search; if it found a PDF, it would download it

Vsak dan išče; če bi našel PDF, bi ga naložil

and then it would run some PDF-scraping program,

in potem bi zagnal nek PDF pretvornik

and out would come the text,

in ven bi prišlo besedilo

and it would go on the Internet, and then people could make maps like that.

in potem bi ga dal na internet, da bi lahko ljudje delali take zemljevide.

And the fact that the data's here, the fact that we have access to it --

Dejstvo, da so ti podatki tu, dejstvo, da imamo do njih dostop--

Every accident, by the way, is a row in this table.

Vsaka nesreča, mimogrede, je ena vrstica.

You can imagine how many PDFs that is.

Predstavljajte si količino PDF-jev.

The fact that we have access to that is great,

Dejstvo, da imamo do tega dostop, je super,

but let's not release it in PDF form,

a ne izdajmo jih v PDF obliki,

because then we're having our citizens write PDF scrapers.

ker morajo potem naši meščani napisati PDF pretvornike.

It's not the best use of our citizens' time,

To ni najboljša raba časa naših meščanov,

and we as a city can do better than that.

in mi kot mesto lahko to storimo bolje.

Now, the good news is that the de Blasio administration

Dobra novica je, da je administracija župana De Blasia

actually recently released this data a few months ago,

pravzaprav izdala podatke pred nekaj meseci,

and so now we can actually have access to it,

tako da imamo sedaj dostop do njih,

but there's a lot of data still entombed in PDF.

a še vedno je veliko podatkov v formatu PDF.

For example, our crime data is still only available in PDF.

Na primer, podatki o kriminalu so še vedno dostopni samo v PDF.

And not just our crime data, our own city budget.

Ne samo podatki o kriminalu, proračun našega mesta.

Our city budget is only readable right now in PDF form.

Proračun našega mesta lahko preberete samo v PDF obliki.

And it's not just us that can't analyze it --

Nismo edini, ki ga ne moremo analizirati--

our own legislators who vote for the budget

naši zakonodajalci, ki glasujejo o proračunu,

also only get it in PDF.

ga dobijo samo v PDF obliki.

So our legislators cannot analyze the budget that they are voting for.

Tako zakonodajalec ne more analizirati proračuna, o katerem glasuje.

And I think as a city we can do a little better than that as well.

Mislim, da bi kot mesto lahko izvedli tudi to malo bolje.

Now, there's a lot of data that's not hidden in PDFs.

Veliko je podatkov, ki niso skriti v PDF-jih.

This is an example of a map I made,

To je primer zemljevida

and this is the dirtiest waterways in New York City.

in na njem so najbolj umazane vodne poti v New Yorku.

Now, how do I measure dirty?

Kako merimo umazanost?

Well, it's kind of a little weird,

No, malo je čudno,

but I looked at the level of fecal coliform,

a pogledal sem raven fekalne bakterije,

which is a measurement of fecal matter in each of our waterways.

s čimer merimo fekalije v vsaki vodni poti.

The larger the circle, the dirtier the water,

Večji ko je krog, bolj umazana je voda,

so the large circles are dirty water, the small circles are cleaner.

tako so veliki krogi umazana voda, manjši krogi so čistejši.

What you see is inland waterways.

To so kopenske vodne poti.

This is all data that was sampled by the city over the last five years.

To so vsi podatki, ki bili pridobljeni v mestu v zadnjih petih letih.

And inland waterways are, in general, dirtier.

Kopenske vodne poti so v večini bolj umazane.

That makes sense, right?

To je logično, kajne?

And the bigger circles are dirty. And I learned a few things from this.

Večji krogi so bolj umazani. Iz tega sem se naučil nekaj stvari.

Number one: Never swim in anything that ends in "creek" or "canal."

Prvič: Nikoli ne plavaj v nečem kar se konča s "potok" ali "kanal".

But number two: I also found the dirtiest waterway in New York City,

Drugič: prav tako sem našel najbolj umazano vodno pot v New Yorku

by this measure, one measure.

s to meritvijo, eno meritvijo.

In Coney Island Creek, which is not the Coney Island you swim in, luckily.

V potoku Coney Island, na srečo ne tistem, v katerem plavate.

It's on the other side.

Je na drugi strani.

But Coney Island Creek, 94 percent of samples taken over the last five years

V potoku Coney Island ima 94 % vzorcev, vzetih v zadnjih petih letih,

have had fecal levels so high

tako visoko raven fekalij,

that it would be against state law to swim in the water.

da bi bilo protizakonito plavati v tej vodi.

And this is not the kind of fact that you're going to see

In to ni ravno dejstvo, s katerim bi se hvalili

boasted in a city report, right?

v mestnem poročilu, kajne?

It's not going to be the front page on nyc.gov.

Ne bo na prvi strani nyc.gov.

You're not going to see it there,

Tam ga ne boste videli,

but the fact that we can get to that data is awesome.

a dejstvo, da lahko dobimo te podatke, je neverjetno.

But once again, it wasn't super easy,

A še enkrat, ni bilo zelo lahko,

because this data was not on the open data portal.

ker ti podatki niso bili na prostem portalu.

If you were to go to the open data portal,

Če bi odprli prost portal podatkov,

you'd see just a snippet of it, a year or a few months.

bi videli samo delček, leto ali pa nekaj mesecev.

It was actually on the Department of Environmental Protection's website.

Bilo je na strani Oddelka za okolje.

And each one of these links is an Excel sheet, and each Excel sheet is different.

Vsaka izmed teh povezav je Excelova tabela in vsaka je drugačna.

Every heading is different: you copy, paste, reorganize.

Vsak vrh strani je drugačen: kopiraš, lepiš, preurejaš.

When you do you can make maps and that's great, but once again,

Nato lahko ustvariš zemljevid, kar je super, a spet

we can do better than that as a city, we can normalize things.

bi lahko kot mesto bolje storili, lahko bi standardizirali stvari.

And we're getting there, because there's this website that Socrata makes

Kmalu bomo tam, ker je tu stran, ki jo izdeluje Socrata,

called the Open Data Portal NYC.

imenovana Portal prostih podatkov NYC.

This is where 1,100 data sets that don't suffer

Tu je 1100 setov podatkov, ki ne trpijo

from the things I just told you live,

za omenjenimi slabostmi,

and that number is growing, and that's great.

in ta številka raste, kar je enkratno.

You can download data in any format, be it CSV or PDF or Excel document.

Lahko si naložite podatke v kateremkoli formatu, naj bo CSV ali PDF ali Excel.

Whatever you want, you can download the data that way.

Karkoli želite, lahko si jih naložite na tak način.

The problem is, once you do,

Težava je, da ko to storite,

you will find that each agency codes their addresses differently.

boste videli, da vsaka agencija kodira svoj naslov drugače.

So one is street name, intersection street,

Eno je ime ulice, ime križišča,

street, borough, address, building, building address.

cesta, mestni okraj, naslov, stavba, naslov stavbe.

So once again, you're spending time, even when we have this portal,

Tako da spet zapravljaš čas kljub portalu,

you're spending time normalizing our address fields.

zapravljaš čas z urejanjem polj z naslovi.

And that's not the best use of our citizens' time.

To ni najboljša raba časa naših državljanov.

We can do better than that as a city.

Kot mesto lahko to naredimo bolje.

We can standardize our addresses,

Lahko standardiziramo naše naslove

and if we do, we can get more maps like this.

in če jih bomo, dobimo več takih zemljevidov.

This is a map of fire hydrants in New York City,

To je zemljevid gasilskih hidrantov v New Yorku,

but not just any fire hydrants.

a ne katerihkoli.

These are the top 250 grossing fire hydrants in terms of parking tickets.

To je top 250 gasilskih hidrantov, kar se tiče kazni za parkiranje.

(Laughter)

(Smeh)

So I learned a few things from this map, and I really like this map.

Nekaj stvari sem se naučil iz tega zemljevida in zelo mi je všeč.

Number one, just don't park on the Upper East Side.

Prvič, ne parkirajte na zgornjem vzhodnem delu.

Just don't. It doesn't matter where you park, you will get a hydrant ticket.

Enostavno ne. Ni važno, kje parkirate, dobili boste kazen zaradi hidranta.

Number two, I found the two highest grossing hydrants in all of New York City,

Drugič, našel sem dva največja zaslužkarja med hidranti v New Yorku,

and they're on the Lower East Side,

sta na nižjem delu vzhodne strani

and they were bringing in over 55,000 dollars a year in parking tickets.

in prinašata več kot 55 000 dolarjev letno v kaznih za parkiranje.

And that seemed a little strange to me when I noticed it,

Zdelo se mi je malo čudno, ko sem to opazil,

so I did a little digging and it turns out what you had is a hydrant

zato sem malo pobrskal in izkaže se, da je tam hidrant

and then something called a curb extension,

nato nekaj, imenovano podaljšek robnika,

which is like a seven-foot space to walk on,

kar je dvometrski prostor za hojo,

and then a parking spot.

in potem parkirno mesto.

And so these cars came along, and the hydrant --

Potem pridejo ti avti, in hidrant--

"It's all the way over there, I'm fine,"

"Saj je tam daleč, v redu je."

and there was actually a parking spot painted there beautifully for them.

Tam je bilo parkirno mesto zanje lepo narisano.

They would park there, and the NYPD disagreed with this designation

Parkirali so tam in NYPD se ni strinjal z njimi

and would ticket them.

in dobili so kazen.

And it wasn't just me who found a parking ticket.

Nisem samo jaz dobil kazni.

This is the Google Street View car driving by

To je Googlov avto Street view,

finding the same parking ticket.

ki je dobil isto kazen.

So I wrote about this on my blog, on I Quant NY, and the DOT responded,

O tem sem pisal na blogu I Quant NY. Urad za transport se je odzval.

and they said,

Dejali so:

"While the DOT has not received any complaints about this location,

Čeprav nismo dobili nobene pritožbe o tej lokaciji,

we will review the roadway markings and make any appropriate alterations."

bomo preverili označbe na cestah in naredili potrebne popravke.

And I thought to myself, typical government response,

Mislil sem si, tipičen vladni odziv,

all right, moved on with my life.

v redu, in nadaljeval z življenjem.

But then, a few weeks later, something incredible happened.

A čez nekaj tednov se je zgodilo nekaj neverjetnega.

They repainted the spot,

To mesto so prebarvali

and for a second I thought I saw the future of open data,

in za sekundo sem videl prihodnost prostih podatkov,

because think about what happened here.

ker pomislite, kaj se je zgodilo tu.

For five years, this spot was being ticketed, and it was confusing,

Pet let so delili kazni na tem mestu in bilo je nejasno,

and then a citizen found something, they told the city, and within a few weeks

potem je meščan našel nekaj, to povedal in čez nekaj tednov

the problem was fixed.

so problem rešili.

It's amazing. And a lot of people see open data as being a watchdog.

Neverjetno je. Veliko ljudi vidi odprte podatke kot psa čuvaja.

It's not, it's about being a partner.

Niso, tu gre za partnerstvo.

We can empower our citizens to be better partners for government,

Lahko damo moč državljanom, da bodo boljši partnerji vladi,

and it's not that hard.

in to ni tako težko.

All we need are a few changes.

Potrebnih je le malo sprememb.

If you're FOILing data,

Ko "FOILate" podatke

if you're seeing your data being FOILed over and over again,

če vidite da so podatki "FOILani" spet in spet,

let's release it to the public, that's a sign that it should be made public.

jih naredite javne, to je znak, da jih naredite javne.

And if you're a government agency releasing a PDF,

Če ste vladna agencija, ki izda PDF,

let's pass legislation that requires you to post it with the underlying data,

sprejmimo zakon, da ga morate izdati skupaj z osnovnimi podatki,

because that data is coming from somewhere.

ker so ti podatki morali od nekje priti,

I don't know where, but it's coming from somewhere,

ne vem, od kje, a prišli so od nekod,

and you can release it with the PDF.

in to lahko izdate poleg PDF.

And let's adopt and share some open data standards.

Osvojimo in delimo nekaj standardov.

Let's start with our addresses here in New York City.

Začnimo z naslovi v New Yorku.

Let's just start normalizing our addresses.

Začnimo normalizirati naše naslove.

Because New York is a leader in open data.

New York je prvi v prostih podatkih.

Despite all this, we are absolutely a leader in open data,

Kljub vsemu smo absolutni prvaki v prostih podatkih.

and if we start normalizing things, and set an open data standard,

Če začnemo normalizirati stvari in postavimo standarde,

others will follow. The state will follow, and maybe the federal government,

bodo drugi sledili. Država, morda federalna vlada.

Other countries could follow,

Druge države bodo sledile,

and we're not that far off from a time where you could write one program

in nismo daleč od časa, ko bomo lahko napisali program

and map information from 100 countries.

in načrtali informacije 100 držav.

It's not science fiction. We're actually quite close.

Ni znanstvena fantastika. Zelo blizu smo.

And by the way, who are we empowering with this?

Komu smo s tem dali moč?

Because it's not just John Krauss and it's not just Chris Whong.

Ker ni samo John Krauss in ni samo Chris Whong.

There are hundreds of meetups going on in New York City right now,

Na stotine srečanj se dogaja v New Yorku,

active meetups.

aktivnih srečanj.

There are thousands of people attending these meetups.

Na tisoče ljudi se udeležuje teh srečanj.

These people are going after work and on weekends,

Ti ljudje pridejo po službi in ob vikendih

and they're attending these meetups to look at open data

in se udeležujejo srečanj, in gledajo proste podatke

and make our city a better place.

in izboljšali naše mesto.

Groups like BetaNYC, who just last week released something called citygram.nyc

Skupine kot je BetaNYC. Ta je ravno prejšnji teden izdala citygram.nyc.

that allows you to subscribe to 311 complaints

ki vam dovoli, da se naročite na pritožbe 311

around your own home, or around your office.

okrog svojega doma ali okoli svoje pisarne.

You put in your address, you get local complaints.

Vpišeš svoj naslov in dobiš lokalne pritožbe.

And it's not just the tech community that are after these things.

In ni samo tehnološka skupnost navdušena nad tem.

It's urban planners like the students I teach at Pratt.

Krajinski arhitekti, kot tisti, ki jih učim na Prattu.

It's policy advocates, it's everyone,

Podporniki zakonov, vsi.

it's citizens from a diverse set of backgrounds.

Meščani iz različnih okolij.

And with some small, incremental changes,

In z nekaj majhnimi, postopnimi spremembami

we can unlock the passion and the ability of our citizens

lahko odklenemo strast in sposobnost naših državljanov,

to harness open data and make our city even better,

da izkoristimo proste podatke, da izboljšamo naše mesto,

whether it's one dataset, or one parking spot at a time.

naj gre za en set podatkov ali eno parkirno mesto naenkrat.

Thank you.

Hvala.

(Applause)

(Aplavz)