Problem Statement
Urban planners need integrated data to optimise land use, traffic, public services, and utility planning through spatial analytics and modelling.
Smart Cities
A novel city planning algorithm for existing and new cities
PaM enables city planners to create 3D visualisations, optimise land use, and plan infrastructure without specialist skills.
Solution Overview
PaM combines spatial dashboards, scenario planning, and city operations into one digital platform, helping governments deliver smarter infrastructure and asset planning.
City Planning Enhancements
PaM’s city planning module extends the Smart Cities solution with 3D visualisation, terrain overlays, amenity-driven optimisation, and export-ready outputs.
No Specialist Skills Required
Generate 3D scenes for visualisation without needing specialised planning or GIS teams. The system supports terrain, buildings, and road overlays directly in the planner.
Flexible Area Input
Load planning areas from KML or spreadsheets so teams can work from field-captured boundaries, survey data, or existing GIS files.
Rich 3D Planning
- • 3D buildings for visualisation
- • Terrain and road overlay support
- • Site-specific optimisation and modelling
Amenity-driven Optimisation
- • Schools, hospitals, police stations and parks
- • Meals and business zones aligned to demand
- • Proposed plots and roads based on land use needs
Output & Export
Export 3D buildings and city models to Google Earth for stakeholder review and real-world context.
Planner Outputs
Our novel planning algorithm uses roads, land parcels and terrain data with desired amenity areas to output a complete city plan.
- • Number of hospitals
- • Number of schools
- • Number of police stations
- • Number of parks / restricted areas
- • Proposed land plots and roads
Proven Local Impact
Designed with real city planning scenarios in mind, including rich visualisations for Freetown CBD and other Sierra Leone urban environments.
Screenshot Highlights
- • 3D buildings exported to Google Earth
- • Area optimised with current buildings shown on Google Earth
- • Planner output with proposed residential and business buildings
- • Colour-coded building visualisation for Freetown CBD
Training & Support
PaM supports tutorial videos and local deployment guidance to help city teams use the planner effectively.
The Smart City Planning Cycle
An end-to-end workflow that turns field data into a living, optimised digital city.
- 1
Survey & Data Collection
Capture terrain, parcels, roads, and amenities in the field using GIS-enabled survey tools.
- 2
Digital Mapping
Convert raw field data into accurate, georeferenced base maps and layers.
- 3
Unified GIS Database
Consolidate every layer into a single authoritative spatial database — one source of truth.
- 4
Smart Planning Engine
Run the planning algorithm to optimise land use, amenities, plots, and road networks.
- 5
3D City Digital Twin
Generate a 3D digital twin of the city for visualisation, scenario testing, and review.
- 6
Smart Services
Drive smart utilities, traffic, and public services from the unified spatial model.
- 7
Monitoring & Optimization
Continuously monitor city operations and feed insights back to refine the plan.