DBF/Industries/ Urban Planning & Smart Cities
Urban Planning & Smart Cities

Urban Planning
& Smart Cities

Generate, validate, and compare urban growth scenarios with spatial analytics — replacing fragmented GIS workflows with integrated, data-driven planning.

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50+
Scenarios Validated

development scenarios tested simultaneously

Multi-source
Data Integration

GIS + BIM + demographic data in one workflow

Pre-design
Full Pipeline

from site identification through programme validation

Urban Planning & Smart Cities

AI-Powered Planning

Smart Cities · Compact City

Trusted By Teams Delivering Complex Projects.

⊕ TAKENAKA Jacobs EMAAR McKinsey Dubai Municipality ø egis

The Problem

Traditional city development workflows force teams to work linearly — site analysis, then capacity study, then land use planning — each step handled by different consultants. This creates late-stage feasibility surprises that trigger costly redesigns.

Without DBF
With DBF
× Fragmented workflows across GIS, BIM, and spreadsheet tools
✓ Single integrated workflow from site analysis to programme validation
× Limited scenario options slow stakeholder alignment
✓ 50+ development scenarios generated and compared in parallel
× Late-stage feasibility surprises trigger costly redesigns
✓ Traceable, comparable outputs for stakeholder reporting from day one
× Sustainability targets bolted on after spatial planning
✓ Sustainability KPIs built in from the first iteration
Smart Cities Compact City 15-Minute City Masterplanning Land Use Prediction City Development Amenity Planning

— How It Works

From brief to validated
layout in six steps.

I
I
Step 1/6

Define

Import land use maps, zoning data, and infrastructure layers

II
II
Step 2/6

Import

Integrate demographic, economic, and mobility demand projections

III
III
Step 3/6

Generate

Run land use change models and generate urban growth scenarios

IV
IV
Step 4/6

Validate

Score scenarios against KPIs: density, liveability, sustainability, access

V
V
Step 5/6

Test

Compare scenarios with multi-dimensional performance dashboards

VI
VI
Step 6/6

Export

Generate planning-authority-ready reports with spatial analysis outputs

All six steps completed in a single DBF session.

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Platform Capabilities

Every feature is available from the first session — no modules to unlock, no staged rollout.

✓ AI scenario generation for land use, density, and masterplanning
✓ Multi-source GIS and demographic data integration
✓ Isochrone and proximity analysis for 15-minute city targets
✓ Smart city KPI framework and multi-system scenario modelling
✓ Land use change prediction and development potential scoring
✓ Planning-authority-ready reporting outputs

Use Cases

Who uses DBF for urban planning & smart cities projects — and in what role.

Municipal Government

Municipal governments planning urban expansion and smart city masterplans

Planning Authority Director
Regional Planning

Regional planning authorities managing growth boundaries

Urban Policy Lead
AEC Consultancy

Engineering firms advising on smart city infrastructure investment

Project Director
Real Estate

Real estate developers validating density and programme mix

Development Director
50+ Scenarios Validated

development scenarios tested simultaneously

Multi-source Data Integration

GIS + BIM + demographic data in one workflow

Pre-design Full Pipeline

from site identification through programme validation

Future Vision

The Future of Urban Planning & Smart City Development

With urbanisation accelerating globally and sustainability mandates becoming planning requirements, land use prediction and smart city validation will become mandatory inputs to every planning policy decision. DBF enables planners to move from reactive zoning management to proactive, data-driven urban strategy.

AI-Powered Planning and Design, for Better Project Delivery and Urban Developments
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