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Simulation · Minimal City · Ruhr area

Duisburg · city centre with Königstraße and inner harbour

Duisburg's city centre from the main station to the inner harbour as a living model: people, cars, buses and trains, each with its own destination, with tunnels, water, power and data underneath – and controls that show at once how it all connects.

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Trailer

Real are location, streets, buildings, tracks, stops and venues (OpenStreetMap). Traffic, service intervals, residents, jobs and network routes are model assumptions. With your data, the model shows your city and your questions.

Duisburg's city centre from the main station along Königstraße to the inner harbour, with Haus Duisburg, the Salvator church, the town hall, the Lehmbruck Museum and the City History Museum on the water. The 1.6 × 1.5 km section holds 4,099 blocks from OpenStreetMap, and the inner harbour takes up 1.4% of the area, with waves, foam along the shore and bridges. People, cars and buses move through it, each with its own destination, plus light rail and trams, S-Bahn and regional trains.

Controls for residents, jobs and new building, for buses, service intervals, traffic lights and a car-free centre act at once: pavements and streets fill up, trains get crowded, houses grow. The city fades out, revealing the light-rail and tram tunnels, water, power and data beneath. Situations such as a rail outage, congestion, a street festival or empty shops show where it gets tight first.

Real are location, streets, buildings, tracks, stops, traffic lights and venues from OpenStreetMap. Traffic, service intervals, residents and jobs per building, and the cable and pipe routes are model assumptions: the model shows connections, not a forecast. The page is for urban and transport planning, politics and public participation, schools, universities and exhibitions.

A city centre that lives

01

A city centre that lives

Duisburg – main station · Königstraße · inner harbour: 4,099 building blocks on 2.5 km², streets, tracks and water from OpenStreetMap (as of 30 October 2026). Cars, buses, trains and people are on the move, each with a destination of their own.

As evening falls

02

As evening falls

Dusk in Duisburg: the windows light up, street lights and headlights trace the streets – seen from a low angle.

What is shown – why – for whom

Ce qui est montré Pourquoi Pour qui
City centre with 4,099 blocks from OpenStreetMap and the inner harbour as a stretch of water PourquoiShows the city as it lies on the water. Pour quiplanning, exhibition
People, cars and buses with their own destinations PourquoiShows where it gets full and where it gets tight. Pour quitransport planning
Light rail and trams in the tunnel, S-Bahn and regional trains PourquoiShows how much depends on service intervals and space on the trains. Pour quipublic transport, mobility
Water, power and data beneath the streets PourquoiShows the networks you otherwise cannot see. Pour quiutilities, teaching
Shops, restaurants, culture and festivals from OpenStreetMap PourquoiShows what makes a city centre lively. Pour quicity marketing, economic development
Controls with a city index for mobility, quality of living and city life PourquoiShows connections, not a forecast. Pour quipolitics, participation
What lies beneath the city

03

What lies beneath the city

All networks at once – water blue, power yellow, data turquoise, plus the trains in their tunnels and the flows of people as bands of light.

Riding along

04

Riding along

Light rail and trams: line “Steinsche Gasse – Duisburg Hauptbahnhof U” – the camera rides along, at every stop people get off and on.

Films from the model

  • Above Duisburg

    A flight over the city centre with Haus Duisburg tower, Salvator church and city history museum by the inner harbour – buildings made of blocks, streets, trains and people on the move.

  • From day into night

    Duisburg by day, at dusk, at night and with street festivals at night – in one slow camera move: windows light up, beams of light over the squares.

  • What lies beneath Duisburg

    The city fades: below the tunnels of the light rail and trams, then water, power and data – the points come from OpenStreetMap, the line routes are assumed.

  • Riding along

    The camera rides along: first light rail and trams, then suburban and regional trains, then a bus – at every stop people get off and on.

  • One slider – the city responds

    The city builds itself from the map data, then the buildings grow by two storeys; the analysis shows residents per hectare and how switching modes and a car-free centre relieve the streets.

  • Using the software

    With the full interface: controls and city index, place card, departure board at the station, following a train, analysis and layers with utilities.

City, networks and transport in the model

  • Section

    main station · Königstraße · inner harbour – 1,640 × 1,520 m, 2.5 km², OpenStreetMap as of 30 October 2026.

  • Landmarks

    Haus Duisburg tower, Salvator church, city history museum by the inner harbour and Lehmbruck Museum.

  • Buildings

    4,099 building blocks, buildings up to 112 m, 27 % of the area built up, 10 % green; 28 named buildings and 259 places.

  • Streets

    4,134 path segments and 2,959 nodes with traffic lights, zebra crossings and crossings; pavements along every street.

  • Venues

    431 shops, restaurants, bars and clubs, cultural venues, leisure and independent scene from OpenStreetMap – each one doing well, tight, struggling or closed.

  • Water

    Inner harbour: 1.4 % of the section, with waves, foam along the banks and bridges.

  • Water

    43 hydrants and 19 further points from OpenStreetMap; pipes assumed under the streets.

  • Power

    95 street lights, 7 substations, 1 transformer station and 14 further points from OpenStreetMap; cables drawn schematically.

  • Data

    2 street cabinets, 1 exchange and 1 antenna from OpenStreetMap; the network in between is assumed.

  • Underground / Suburban rail

    Tunnels of the light rail and trams in true depth below the city.

  • Flows

    Flows of people as arrowed bands of light, visible in every view.

  • light rail and trams

    2 lines through the section, 6 stations, mostly in tunnels; trains run to a timetable (model), people board and alight at every stop.

  • suburban and regional trains

    3 lines through the section, 1 station, above ground; trains run to a timetable (model), people board and alight at every stop.

  • Bus

    In the model: ring line from the station with a limited number of seats; 32 bus stops from OpenStreetMap; a full bus glows pink.

  • Cars, walking, cycling

    Cars keep their distance and obey traffic lights, priority and crossing pedestrians; queues take up space. Nobody disappears.

One slider, the whole city

05

One slider, the whole city

Twice as many residents – density analysis: residents per hectare, calm below 150, yellow from 300, pink above 450.

Fire in the district

06

Fire in the district

House fire – flames and smoke over the district; in the model a house catches fire now and then, in the middle of daily life.

What the model can be used for

  • Urban and transport planning

    The switch to bus and rail, denser service or a car-free centre can be adjusted. The analysis colours streets and paths and shows where a decision takes effect elsewhere.

    Pour quiurban planning, transport planning, mobility

  • From Königstraße to the water

    How do people get from the main station along Königstraße to the inner harbour? With the circular bus, service intervals and a car-free radius you can try out where the routes get dense and how far the city lives by the water.

    Pour quitransport planning, city marketing, economic development

  • Networks and utilities

    Beneath the city lie tunnels, water, power and data. The points come from OpenStreetMap, the routes are assumed. You see how many networks a city carries.

    Pour quiutilities, infrastructure, teaching

  • School, university, exhibition

    How do living, working, transport and city life connect? The city runs around the clock, from day to night, and the demonstration also runs without anyone at the controls.

    Pour quischools, universities, museums and exhibitions

Festival at night

07

Festival at night

Street festival at night – stages, beams of light and crowds on the big squares of Duisburg.

The whole software

08

The whole software

The whole software – city index at the top, city controls on the left, time of day, sound and camera on the right, views and city pulse below.

What you can change

Controls

  • Residents (50–250 %): How many people live here. More people: more trips, fuller pavements and roads, less living space per head.
  • Jobs (50–250 %): How many people work here. More jobs: more commuters by car and train, the centre fills up.
  • New building (up to 2 storeys): Residential and mixed buildings gain storeys: more living space – the buildings visibly grow.
  • Switch to bus & rail (0–80 %): Share of car trips that take the bus and train instead. Frees the roads – needs room on the trains.
  • Traffic lights (priority cars ↔ pedestrians): Long cycles for cars or short ones, with all-way walk, for pedestrians.
  • Car-free centre (radius 0–900 m): Radius around the centre: cars park outside, buses run, pedestrians cross freely.
  • Buses (0–300 %): How many buses run – room for people who switch.
  • Underground frequency (off to triple, normally every 6 min): How often underground, light rail and trams run. More often: shorter waits, more passengers, fewer cars. Here: light rail and trams.
  • Suburban rail frequency (off to triple, normally every 10 min): How often suburban and regional trains run. Off: nobody arrives by train, more cars. Here: suburban and regional trains.
  • Shops (0–200 %): How many shops are open. Fewer: empty units, worse supply, more people drive out by car.
  • Food & drink (0–200 %): Restaurants and cafés. Need guests – residents, workers, visitors; with noise nobody sits outside.
  • Bars & clubs (0–200 %): Nightlife: makes the city worth experiencing – but loud for the neighbours at night.
  • Culture (0–200 %): Museums, theatres, cinemas, concerts. Attract visitors.
  • Independent scene (0–200 %): Cultural centres, studios, community arts – small but important for the experience.
  • Street festivals (0–3): Festivals and events on the big squares: stage, lights, crowds.

Situations

  • Fire: Now and then a house in view catches fire: the flames grow, burn for about a minute and smoke drifts over the district (model).
  • Gridlock: More jobs and residents, traffic lights favouring pedestrians: cars queue, the analysis turns the streets pink.
  • Rail shutdown: Both frequency controls off: the light rail and trams as well as suburban and regional trains stop, nobody arrives by train, more cars push into the city.
  • Street festival: Festivals and events on the big squares: stage, lights, crowds. Experience rises, nights get louder.
  • Clubs closed: Bars and clubs set to zero: the venues turn grey, experience drops, nights get quieter for the neighbours.
  • Empty shops: Fewer residents and only a third of the shops open: shops and restaurants struggle (lens venues: pink struggling, grey closed), more people drive out by car.
  • Roadworks: The scenario generator closes a much-used path for over half an hour when there is a detour.
  • Dusk and night: Time of day (key N): windows, street lights and headlights come on; the clock runs from 18:30 or 22:30.

What the model brings

  • 01

    The real city by the harbour as a stage

    Streets, houses, tracks and the water of the inner harbour come from OpenStreetMap. You show Duisburg with Königstraße and its museums as it lies, not as a diagram.

  • 02

    See the effect at once

    Every control acts immediately: pavements, streets and trains fill up or empty, and the analysis shows where.

  • 03

    Situations without damage

    Rail outage, congestion, a street festival or empty shops can be triggered. You see where it gets tight first, and set it back.

  • 04

    For big screens and the browser

    Runs in the browser and on large projections, from day to night, with a demonstration that starts without anyone at the controls.

  • Duisburg – Hbf · Königstraße · Innenhafen: 4.099 Bausteine auf 2,5 km², Straßen, Gleise und Wasser aus OpenStreetMap (Stand 30.10.2026). Autos, Busse, Bahnen und Menschen sind unterwegs, jeder mit eigenem Ziel.
    Duisburg – main station · Königstraße · inner harbour: 4,099 building blocks on 2.5 km², streets, tracks and water from OpenStreetMap (as of 30 October 2026). Cars, buses, trains and people are on the move, each with a destination of their own.
  • Duisburg von der anderen Seite – mit Salvatorkirche und Stadthistorisches Museum am Innenhafen. Häuser bis 112 m hoch.
    Duisburg from the other side – with Salvator church and city history museum by the inner harbour. Buildings up to 112 m tall.
  • Quer zum Licht – die Sonne steht im Südwesten; die Gebäudehöhen stammen aus OpenStreetMap oder sind nach Gebäudeart geschätzt, die Grundrisse in Quader zerlegt.
    Across the light – the sun stands in the south-west; building heights come from OpenStreetMap or are estimated by building type, the footprints split into blocks.
  • Salvatorkirche – Halbtotale; ringsum 28 benannte Gebäude und 259 Orte aus OpenStreetMap.
    Salvator church – medium shot; around it 28 named buildings and 259 places from OpenStreetMap.
  • Stadthistorisches Museum am Innenhafen im Stadtgefüge – Straßen als Quader, Gehwege an allen Straßen, 4.134 Wegstücke im Netz.
    City history museum by the inner harbour in the urban fabric – streets as blocks, pavements along every street, 4,134 path segments in the network.
  • Abend in Duisburg: die Fenster gehen an, Laternen und Scheinwerfer zeichnen die Straßen – aus flachem Winkel.
    Dusk in Duisburg: the windows light up, street lights and headlights trace the streets – seen from a low angle.
  • Salvatorkirche am Abend – Fenster, Laternen und der Verkehr mit Licht.
    Salvator church at dusk – windows, street lights and traffic with headlights on.
  • Nacht in Duisburg: nur noch Fenster, Laternen und Scheinwerfer – die Stadt läuft rund um die Uhr weiter.
    Night in Duisburg: only windows, street lights and headlights – the city keeps running around the clock.
  • Innenhafen – Wellen, Schaum am Ufer und Brücken; die Wasserflächen (1,4 % des Ausschnitts) stammen aus OpenStreetMap.
    Inner harbour – waves, foam along the banks and bridges; the water areas (1.4 % of the map) come from OpenStreetMap.
  • Schräg von oben – das Straßennetz mit 2.959 Knoten, dazu Ampeln, Zebrastreifen und Querungen aus OpenStreetMap.
    From above at an angle – the street network with 2,959 nodes, plus traffic lights, zebra crossings and crossings from OpenStreetMap.
  • Ebenen: die Stadt wird zum Schleier, darunter liegen die Tunnel von Stadt- und Straßenbahn – 7 Stationen im Ausschnitt.
    Layers: the city becomes a veil, below lie the tunnels of the light rail and trams – 7 stations on the map.
  • Wasser unter Duisburg: 43 Hydranten und 19 weitere Punkte aus OpenStreetMap; die Leitungen sind angenommen, unter den Straßen.
    Water beneath Duisburg: 43 hydrants and 19 further points from OpenStreetMap; the pipes are assumed, under the streets.
  • Strom: 95 Straßenleuchten, 7 Umspannstationen, 1 Trafostation und 14 weitere Punkte aus OpenStreetMap – die Leitungen schematisch unter den Straßen.
    Power: 95 street lights, 7 substations, 1 transformer station and 14 further points from OpenStreetMap – the cables drawn schematically under the streets.
  • Daten: 2 Schaltschränke, 1 Vermittlung und 1 Antenne aus OpenStreetMap; das Netz dazwischen ist angenommen.
    Data: 2 street cabinets, 1 exchange and 1 antenna from OpenStreetMap; the network in between is assumed.
  • Alle Netze zugleich – Wasser blau, Strom gelb, Daten türkis, dazu die Bahnen im Tunnel und die Ströme der Menschen als Lichtbänder.
    All networks at once – water blue, power yellow, data turquoise, plus the trains in their tunnels and the flows of people as bands of light.
  • Ebenen mit Namen – über den Gleisen stehen die Stationen von Stadt- und Straßenbahn sowie S-Bahn und Regionalzüge; in den Ebenen sind sie immer zu sehen.
    Layers with names – the stations of the light rail and trams as well as suburban and regional trains stand above the tracks; in the layers they are always visible.
  • Stadt- und Straßenbahn: Linie „Steinsche Gasse – Duisburg Hauptbahnhof U“ – die Kamera fährt mit, an jedem Halt steigen Menschen aus und ein.
    Light rail and trams: line “Steinsche Gasse – Duisburg Hauptbahnhof U” – the camera rides along, at every stop people get off and on.
  • S-Bahn und Regionalzüge: die Kamera fährt mit, an jedem Halt steigen Menschen aus und ein.
    Suburban and regional trains: the camera rides along, at every stop people get off and on.
  • Bus – die Kamera fährt mit; an jeder Haltestelle steigen Menschen ein und aus, ist er voll, leuchtet er pink.
    Bus – the camera rides along; at every stop people get on and off, and when it is full it glows pink.
  • Am Hauptbahnhof: ein Zug kommt an, Hunderte steigen aus – gelb suchen sie ihren Weg in die Stadt.
    At the main station: a train arrives and hundreds get off – in yellow they find their way into the city.
  • Analyse Verkehr in Duisburg – grün frei, gelb voll, pink Stau; Säulen zeigen die Wartenden an den Kreuzungen.
    Traffic analysis in Duisburg – green free, yellow full, pink jammed; columns show the people waiting at junctions.
  • Analyse Gedränge – Menschen auf den Gehwegen, Ringe für Wartende an Ampeln und Bahnsteigen; pink heißt: der Zug war voll.
    Crowding analysis – people on the pavements, rings for those waiting at lights and platforms; pink means the train was full.
  • Stationen beschriftet – 7 Halte von Stadt- und Straßenbahn sowie S-Bahn und Regionalzüge im Ausschnitt, dazu Ankunft und Wege am Bahnhof.
    Stations labelled – 7 stops of the light rail and trams as well as suburban and regional trains on the map, plus arrivals and walks at the station.
  • Neubau – die Wohn- und Mischhäuser werden um zwei Geschosse aufgestockt, Duisburg wächst sichtbar.
    New building – residential and mixed buildings gain two storeys, Duisburg visibly grows.
  • Doppelt so viele Einwohner – Analyse Dichte: Einwohner je Hektar, ruhig unter 150, gelb ab 300, pink über 450.
    Twice as many residents – density analysis: residents per hectare, calm below 150, yellow from 300, pink above 450.
  • Doppelt so viele Arbeitsplätze – Analyse Arbeit: gelb ab 500, pink über 900 je Hektar; dorthin pendelt die Stadt.
    Twice as many jobs – jobs analysis: yellow from 500, pink above 900 per hectare; that is where the city commutes to.
  • Wohnwert je Viertel – pink schlecht, gelb mittel, grün gut; dahinter Versorgung, Gastronomie, Kultur, Nachtleben, Freizeit, Grün, Ruhe und Platz.
    Liveability per neighbourhood – pink poor, yellow medium, green good; behind it supply, food and drink, culture, nightlife, leisure, green, quiet and space.
  • Angebote der Stadt – 431 Läden, Lokale, Clubs, Kulturorte und Treffpunkte aus OpenStreetMap; grün läuft gut, gelb knapp, pink leidet, grau zu.
    Venues of the city – 431 shops, restaurants, clubs, cultural venues and meeting places from OpenStreetMap; green doing well, yellow tight, pink struggling, grey closed.
  • Autofreie Mitte mit 600 m Radius und 60 % Umstieg auf Bus und Bahn – die Straßen werden grün, die Bahnen voller.
    A car-free centre with a 600 m radius and 60 % switching to bus and rail – the streets turn green, the trains get fuller.
  • Brennpunkte mit Namen und Zahl – wo es am dichtesten und am vollsten ist, steht direkt über der Stadt.
    Hot spots with names and figures – where it is densest and busiest is shown right above the city.
  • Stadt-Regler und Stadt-Index – neun Hebel für Stadt und Verkehr, oben der Index aus Mobilität, Wohnwert und Erlebnis, gemessen am normalen Tag.
    City controls and city index – nine levers for the city and its traffic, at the top the index of mobility, liveability and experience, measured against a normal day.
  • Hausbrand – Feuer und Rauch über dem Viertel; im Modell brennt ab und zu ein Haus, mitten im laufenden Betrieb.
    House fire – flames and smoke over the district; in the model a house catches fire now and then, in the middle of daily life.
  • Brand mit Schild – die Stadt zeigt, wo es brennt: Rauch über dem Viertel.
    Fire with its sign – the city shows where it is burning: smoke over the district.
  • Stau – zweieinhalbmal so viele Arbeitsplätze, mehr Einwohner und Ampeln mit Vorrang für Fußgänger: die Straßen laufen pink voll.
    Gridlock – two and a half times the jobs, more residents and traffic lights favouring pedestrians: the streets fill up in pink.
  • Bahn fällt aus – Stadt- und Straßenbahn sowie S-Bahn und Regionalzüge stehen still, niemand kommt mehr mit dem Zug, mehr Autos drängen in die Stadt.
    Rail shutdown – the light rail and trams as well as suburban and regional trains stand still, nobody arrives by train any more, more cars push into the city.
  • Stadtfest bei Nacht – Bühnen, Lichtkegel und viele Menschen auf den großen Plätzen von Duisburg.
    Street festival at night – stages, beams of light and crowds on the big squares of Duisburg.
  • Clubs und Bars zu, nur ein Viertel der Lokale offen – die Angebote färben sich grau, das Erlebnis sinkt, nachts wird es leiser.
    Clubs and bars closed, only a quarter of restaurants open – the venues turn grey, the experience drops, nights get quieter.
  • Leerstand – halb so viele Einwohner, nur 30 % der Läden offen: Läden und Lokale leiden, die Stadt wird leer.
    Empty shops – half the residents, only 30 % of shops open: shops and restaurants struggle, the city empties.
  • Die ganze Software – Stadt-Index oben, Stadt-Regler links, Tageszeit, Ton und Kamera rechts, Ansichten und Stadtpuls unten.
    The whole software – city index at the top, city controls on the left, time of day, sound and camera on the right, views and city pulse below.
  • Klick in die Stadt – die Ortskarte nennt den Ort und zeigt Menschen, Autos und Lärm mit kleiner Verlaufslinie.
    Click into the city – the place card names the spot and shows people, cars and noise with a small trend line.
  • Am Bahnhof – die Abfahrtstafel zeigt Linie, Ziel und Minuten, dazu die Wartenden und den nächsten Zug.
    At the station – the departure board shows line, destination and minutes, plus the people waiting and the next train.
  • Zug angetippt – die Kamera fährt mit, die Karte nennt Linie, Ziel, nächsten Halt, Tempo und Fahrgäste.
    Train tapped – the camera rides along, the card names line, destination, next stop, speed and passengers.
  • Stadtpuls – Stau, Wartezeit, Lärm, CO₂, Pünktlichkeit und Wege am Ziel, jeweils gegen den normalen Tag gerechnet.
    City pulse – congestion, waiting time, noise, CO₂, punctuality and completed trips, each compared with a normal day.
  • Analyse mit Legende – Linsen für Dichte, Arbeit, Verkehr, Gedränge, Wohnwert und Angebote, rechts der Stadtpuls.
    Analysis with legend – lenses for density, jobs, traffic, crowding, liveability and venues, the city pulse on the right.
  • Ebenen mit Leiste und Versorgungstafel – Leitungslänge, Punkte aus OpenStreetMap, Abstand der Gebäude und Abdeckung je Netz.
    Layers with toolbar and utilities panel – line length, points from OpenStreetMap, distance of buildings and coverage per network.
  • Leben und Erlebnis – Läden, Gastronomie, Clubs, Kultur, freie Szene und Stadtfeste als eigene Regler, rechts ihre Wirkung.
    Life and experience – shops, food and drink, clubs, culture, the independent scene and street festivals as controls of their own, their effect on the right.
  • Stadtwahl – 15 Stadtkerne von Bochum bis New York, jeder aus OpenStreetMap; hier ist Duisburg gewählt.
    Choosing a city – 15 city centres from Bochum to New York, each from OpenStreetMap; here Duisburg is selected.
  • Pause mit Bedienung – Maus, Tastatur und Touch: ziehen, drehen, zoomen, Ansicht wechseln, Tageszeit mit N.
    Pause with controls – mouse, keyboard and touch: drag, rotate, zoom, change view, time of day with N.

Your city as a model

Would you like to show your city centre, your neighbourhood or your transport question like this? Write to us or call. We will send you the password for starting it on request.

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Minimal City: Duisburg · Innenstadt mit Königstraße und Innenhafen

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Basis and limits

Real are the location, the street and path network, building footprints and heights (where mapped, otherwise estimated by building type), tracks, stops, traffic lights, venues and utility points of Duisburg – from OpenStreetMap, as of 30 October 2026. Traffic, demand, timetables, signal plans, residents and jobs as well as the utility line routes are model assumptions: the game shows relationships, not a traffic forecast.

Public sources the model is based on:

  • OpenStreetMap contributors, ODbL 1.0 – data as of 30 October 2026
  • Overpass API (one-off retrieval of the OSM data)
  • Model assumptions: demand, timetables, signal plans, capacities, residents and jobs per building, utility line routes

More cities in the model

← Minimal City

Real are location, streets, buildings, tracks, stops and venues (OpenStreetMap). Traffic, service intervals, residents, jobs and network routes are model assumptions. With your data, the model shows your city and your questions.