Belo Horizonte
(AMBA)
Modal Share
Use
Pilots
Pilots
Pilots
City Identification
| Country | Brazil |
| City Type | Ciudad |
| Population (AMBA) | 2.5 Million |
| Partner Organisation | Superintendency of Mobility of the Municipality of Belo Horizonte |
| Contact Person | Liliana Delgado Hermont |
| Contact Email | liliana@pbh.gov.br |
| Date Completed | |
| Tags |
Overview
Mobility Challenges
Traffic Congestion
High levels of commuter traffic generate delays and increase operational costs across the metropolitan area.
Transport Emissions
The transport sector remains one of the largest contributors to greenhouse gas emissions in the city.
Urban Logistics
Freight movement and last-mile deliveries require more efficient and sustainable operational models.
Data Gaps
Limited integration of mobility datasets restricts evidence-based planning and policy development.
Governance & Coordination
Multiple stakeholders require stronger coordination mechanisms and shared digital tools.
Pilot Design
Courier fleet tracking and dynamic routing
Development of a digital routing and fleet management solution that helps logistics operators optimize delivery routes, improve operational efficiency and reduce greenhouse gas emissions. The pilot integrates real-time data and analytics to support more sustainable and efficient urban freight operations.
Pilot Description
The pilot introduces a digital routing platform that supports delivery companies in optimizing routes based on traffic conditions, delivery schedules and operational constraints. Fleet managers gain access to monitoring tools that improve decision-making and reduce unnecessary travel distances.
Implementation Phases
Phase 1 – Baseline & Co-Design
Stakeholder engagement, needs assessment, baseline data collection and pilot design.
Phase 2 – Development & Testing
Software development, platform configuration and pilot testing with logistics operators.
Phase 3 – Pilot Implementation
Operational deployment, performance monitoring and emissions tracking.
Phase 4 – Scale-Up
Replication planning and long-term sustainability strategy.
ASI Strategy
Avoid
Reduce unnecessary trips and optimize route planning.
Shift
Promote more efficient and sustainable logistics operations.
Improve
Enhance fleet efficiency through digital tools and analytics.
Digital Platforms & Tools
- Fleet Tracking Platform
- Dynamic Routing Engine
- Operational Dashboard
- Emissions Monitoring Tool
Expected Benefits
- Reduced travel distances
- Lower fuel consumption
- Reduced greenhouse gas emissions
- Improved delivery performance
- Enhanced operational efficiency
Digital tool for parking management in urban logistics
Implementation of a smart parking management system designed to optimize the use of designated loading and unloading zones. The solution combines digital reservations, monitoring technologies and operational data to improve logistics efficiency and reduce traffic congestion.
Pilot Description
The pilot develops a digital platform that enables logistics operators to reserve loading and unloading spaces while providing city authorities with monitoring and analytics capabilities.
Implementation Phases
Phase 1 – Planning & Design
Assessment of logistics parking demand and operational requirements.
Phase 2 – Development
Platform development and integration with monitoring technologies.
Phase 3 – Deployment
Pilot implementation and stakeholder training.
Phase 4 – Evaluation & Expansion
Performance assessment and replication strategy.
ASI Strategy
Avoid
Reduce time spent searching for available parking spaces.
Shift
Support more efficient use of designated logistics infrastructure.
Improve
Optimize loading and unloading operations through digital management.
Digital Platforms & Tools
- Smart Parking Application
- Reservation System
- Monitoring Dashboard
- Occupancy Analytics
Expected Benefits
- Reduced congestion
- Improved parking utilization
- Lower vehicle idling times
- Enhanced logistics efficiency
Data analysis for evidence-based public policy (MaaS, SUBE, etc)
Development of an integrated mobility analytics platform using public transport and mobility datasets to support evidence-based decision-making. The pilot enables stakeholders to better understand travel patterns and improve transport planning and policy design.
Pilot Description
The pilot focuses on collecting, integrating and analyzing mobility data from multiple sources, enabling city authorities to better understand travel patterns and evaluate policy impacts.
Implementation Phases
Phase 1 – Data Assessment
Identification of data sources and analytical requirements.
Phase 2 – Platform Development
Integration of datasets and dashboard development.
Phase 3 – Deployment
Operational implementation and stakeholder adoption.
Phase 4 – Scale-Up
Expansion and institutionalization of analytical capabilities.
ASI Strategy
Avoid
Reduce inefficiencies through better planning and data insights.
Shift
Support more sustainable transport policies.
Improve
Enhance decision-making through advanced analytics.
Digital Platforms & Tools
- UrbanTrips
- GTFS Real-Time
- Mobility Analytics Dashboard
- Data Integration Platform
Expected Benefits
- Better mobility planning
- Improved public transport services
- Stronger institutional capacity
- Evidence-based policymaking
Gender & Inclusion Approach
Women Participation
Gender-Sensitive Design
Gender-Disaggregated Data
Accessibility & Inclusion
Implementation Phases
- Environmental Indicators
- Operational Indicators
- Financial Indicators
- Social & Gender Indicators
- Policy & Governance Indicators
Policy Linkages
- Climate Change Mitigation Plan
- Urban Mobility Plan
- Urban Logistics Strategy
- Digital Transformation Strategy
- Open Data Framework