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Urban Planning with AI – Scenarios, Density, Mobility

Artificial intelligence is transforming urban planning, offering data-driven solutions to improve mobility, reduce environmental impact, and enhance access to services within cities.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

Scenarios of Development, Density/Land Use, Impact on Mobility/Ecology

Scenarios Density Land use Mobility Environment

Accessibility of services +5–15%

GIS: Zoning, Cadastre, Construction

A single urban data repository → digital twin → scenario simulations → dashboards for decision-making and public discussion.

Optimization of public transport routes reduced average journey times by 12% and increased passenger flow by 9%

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Case Study – Stadium (Transport)

Restructuring of routes and frequency of journeys → −14% delays, +9% passengers.

Optimization of traffic lights with priority for public transport → −11% journey time.

Frequently asked questions

What was the reduction in average travel times achieved through public transport optimization?

| Mobility | Average Journey Time | -12% |

How much did PM2.5 levels decrease due to urban planning interventions?

| Ecology | PM2.5 | -10% |

What percentage of the population gained access to services within a 20-minute walk as a result of these changes?

| Accessibility | 20-min Walk to Services | >80% of the population|

SQL: What indicator measures park accessibility?

-- SQL: Indicator of park accessibility

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