Aerial city mobility network
Urban Mobility Intelligence

Cities move.
Most models
don’t know that.

Agent-based simulation and spatial analytics for the transport decisions that determine how cities actually function.

Strategic Input
Pieter J. Fourie, Dr. sc. ETH Managing Director, MATSim Association ETH Medal — Data-driven Transit Simulation MATSim Core Developer since 2008 Urban Mobility · Resilience · Agent-Based Simulation

A spatial plan
without mobility
is an abstraction.

Urban form and transport are not separate problems. Density decisions drive traffic. Land-use patterns determine whether transit works. Zoning choices lock in emissions for decades. DBF integrates the mobility layer into spatial design — so that generative masterplanning and transport simulation work from the same model, not against each other.

Built with input from researchers who have spent careers making that integration real.

Platform
01
Agent-Based
Mobility Simulation
Model how millions of individual agents move through a city — not aggregate flows, but decisions, routes, and responses to change.
02
Transport
Resilience Planning
Stress-test urban transport networks against infrastructure failure, demand shifts, and new mobility modes before anything is built.
03
Land-Use
Transport Integration
Validate spatial scenarios against real transport outcomes — accessibility, congestion, equity, and emissions modelled together.
15+
Years developing
MATSim simulation
1st
Agent-based transport
simulation of Singapore
3yr
Autonomous mobility study
for Singapore authorities
Aerial city transport network
Simulate first.
Build once.

Agent-based transport simulation lets you test the city before it exists — and understand why it will or won’t work.

Strategic Input
Pieter J.
Fourie
Dr. sc. ETH · Researcher, Lecturer & Consultant
Urban Mobility & Resilience Planning
Experience15+ years agent-based transport simulation
EducationDr. sc. ETH — ETH Zurich
ETH Medal, Data-driven Transit Simulation
MATSimManaging Director, MATSim Association
Core developer since 2008
ExpertiseUrban Mobility, Resilience Planning,
AI & Transport, Activity-Based Simulation

Pieter J. Fourie is a researcher, lecturer, and consultant specialising in urban mobility and resilience planning, with over 15 years as a core developer of MATSim — the world’s leading open-source framework for large-scale agent-based transport simulation.

His doctoral work at ETH Zurich, awarded the ETH Medal, pioneered data-driven transit simulation using smart card data to model entire public transport systems at city scale. He was part of the team that built the first agent-based transport simulation of Singapore in 2011, and subsequently led a three-year study for Singapore’s national authorities on the large-scale deployment of shared autonomous vehicles.

As Managing Director of the MATSim Association and associate professor at Hiroshima and Keio universities, Fourie sits at the intersection of computational research and applied urban planning — making him a direct bridge between DBF’s spatial analytics platform and the transport simulation rigour that city-scale decisions require.

A digital twin should be more than a plan, or a digital building stock. Agents who move like real people in real cities translate the plan into experience, closing the loop between city form and the flows it generates.

— Pieter J. Fourie · Dr. sc. ETH, Managing Director MATSim Association

Working on a
mobility or transport
planning problem?

Urban mobility · Transport simulation · Resilience planning

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