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Minimal Logistik: Großbeeren · GVZ Berlin Süd im Modell von schräg oben

シミュレーション · Minimal Logistik · Road, air and distribution

Großbeeren · freight village Berlin South

The freight village on the Berlin ring as a walkable model: distribution centres for retail and food, an intermodal terminal for goods from Hamburg, and the expressway the capital’s supply depends on.

Real are the location, terrain and buildings (open elevation data, OpenStreetMap) and the site profile figures. Volumes, rhythms and vehicle numbers are model assumptions, processes accelerated. With your data, the model also shows occupancy per dock, stock per product group and routes per store.

The Berlin South freight village in Großbeeren as a running model: large distribution centres for retail and food lie on the Berlin ring. In the distribution centre, goods from the manufacturers are collected and picked for each store; the shelf fill shows the stock of the Berlin node.

Containers and swap bodies from Hamburg arrive by rail at the intermodal terminal and go onto trucks. The more consumption, the more docks are busy: consumer demand acts on 72 % of the volume here, 42 % is food and 83 % travels by road. On the two-lane expressway towards Berlin, traffic backs up in icy conditions or with strong demand. The capital’s supply depends on a few roads.

Real are the location, terrain and buildings, taken from open elevation data and OpenStreetMap, and the figures in the site profile, taken from public information. Daily volumes, rhythms and vehicle numbers are model assumptions in the right order of magnitude; processes run accelerated. This page is for distribution centre operators, retail logistics, the municipality, region and economic development, chambers, schools and universities.

A train in the terminal (riding along, key F)

  1. 01

    arriving

  2. 02

    being loaded

  3. 03

    departing

What is shown – why – for whom

表示内容 なぜ 対象
Food distribution centre: rack fill = stock of the Berlin node なぜShows the capital’s reserves in the model. 対象Operators, retail logistics
Store-level picking of goods from the manufacturers なぜExplains the work in the distribution centre. 対象Onboarding, schools
Intermodal terminal: containers and swap bodies from Hamburg なぜShows the rail link to the seaport. 対象Rail logistics, chambers
Trucks at the docks なぜShows how consumption turns into traffic. 対象Dispatch, site management
Expressway towards Berlin with tailback なぜShows what the supply depends on. 対象Municipality, region
Scenario ‘Winter chaos’ and motorway disruption なぜShow how vulnerable the road is. 対象Public relations, associations

Facilities and areas in the model

  • Food distribution centre

    Goods from producers are collected here and picked per store. Rack fill = stock of the Berlin hub in the model.

  • Großbeeren intermodal terminal

    Containers and swap bodies from Hamburg arrive by rail and switch to trucks.

  • Trucks at the docks

    The more consumption, the more docks are occupied.

  • Expressway towards Berlin

    Two lanes towards the city: with ice or heavy demand traffic backs up (model).

Processes in the model

A train in the terminal (riding along, key F)

  1. 01arriving
  2. 02being loaded
  3. 03departing

A truck at the gate (riding along, key F)

  1. 01driving to the gate
  2. 02check-in at the gate
  3. 03driving to the loading point
  4. 04being loaded
  5. 05leaving

Traffic at the bottleneck (riding along, key F)

  1. 01driving
  2. 02stuck in a jam
  3. 03the tailback slowly clears from its end (model)

Try the scenario ‘Winter chaos’

  1. 01tap it in the deck
  2. 02vehicles, yards and traffic-light rings at the site react at once
  3. 03time 4× shows how it develops
  4. 04‘Back to today’

How a freight village can use the model

  • Operations and planning

    More consumption, more busy docks: the control shows how distribution centre, terminal and access road fill up – in autumn, for example, with the harvest (food +18 %) and the Christmas run-up.

    対象Operators, site management, retail logistics

  • Onboarding and training

    Ride along with key F: a truck from the gate to the loading point, a train in the intermodal terminal, a vehicle in the tailback towards Berlin. One line says what is happening.

    対象New staff, dispatch, trainees

  • Local authorities and economic development

    The capital’s supply depends on a few roads. The model shows what ice or strong demand do on the expressway towards Berlin.

    対象Municipality, region, economic development, chambers

  • Schools, universities, museums

    How is a big city supplied with food? Goods from the manufacturers are collected, picked for each store and loaded – also as a demo without anyone at the controls.

    対象Schools, universities, museums and exhibitions

  • Public communication

    The ‘Winter chaos’ scenario brings snow and ice: roads lose up to a third of their capacity and the tailback towards Berlin grows. Four times the speed shows how it develops, and one tap brings back today.

    対象Public relations, associations

What you can change

Controls

  • Economy: How much is produced and traded overall. Acts on all flows of Großbeeren.
  • Consumer demand: Container goods and food for retail. Weight here about 72 % of the volume.
  • Industrial output: Raw materials, steel, parts, chemicals. Weight here about 28 % of the volume.
  • Transport cost / tolls: Expensive roads shift freight to rail and water. Here 83 % of the volume goes by road.
  • Season: Spring: more building materials and seed, raw materials +8 %, food +5 %. Autumn: harvest (food +18 %), Christmas run-up (containers +8 %), first heating oil deliveries. Winter: heating oil and Christmas trade, less road capacity.

Disruptions

  • Disruption: Motorway (hits this site hardest): One lane remains, the detour loads the neighbouring routes.
  • Disruption: Rail strike: Freight trains stand still, trucks and ships take over part, stocks pile up.
  • Extreme weather: Snow and ice (hits this site hardest): Bottlenecks overloaded, canals partly frozen.

What the model gives a freight village

  • 01

    Supply made visible

    Racks, docks and road in one picture: you see how consumption becomes truck traffic.

  • 02

    Consumption as a lever

    Consumer demand acts on 72 % of the volume here – more than at any other site in the model.

  • 03

    Disruptions without damage

    Motorway closure, snow and ice hit this site hardest. Trigger them, then return to today.

  • 04

    Site and map in one model

    The rack fill is the Berlin node’s stock on the Germany map, shown with live values in the site profile.

  • 05

    For visits and big screens

    Runs in the browser and on large projections, with a demo that starts without anyone at the controls.

Your distribution centre as a model

Would you like to see your docks, stocks or access roads like this? Write or call us and we'll work out which warehouse, terminal and route planning data the model needs. The password is available on request.

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Minimal Logistik: Großbeeren · GVZ Berlin Süd

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Basis and limits

Real are the location, terrain and buildings of Großbeeren (open elevation data and OpenStreetMap) and the figures in the site profile, taken from public information. Daily volumes, rhythms and vehicle numbers are model assumptions in the right order of magnitude; processes run accelerated.

Public sources the model is based on:

  • OpenStreetMap contributors: map data (ODbL 1.0)
  • OpenFreeMap / OpenMapTiles: vector tiles
  • Terrain Tiles, AWS Open Data (Terrarium)
  • Federal Transport Infrastructure Plan: project dossier Großbeeren
  • Federal Statistical Office: freight transport by mode
  • German Environment Agency: freight emission data 2024 (g CO₂e per tonne-kilometre)

More places in the model

← Minimal Logistik

Real are the location, terrain and buildings (open elevation data, OpenStreetMap) and the site profile figures. Volumes, rhythms and vehicle numbers are model assumptions, processes accelerated. With your data, the model also shows occupancy per dock, stock per product group and routes per store.