Training on GIS Mapping & Digital Tools for Road Asset Management
Professional training on GIS mapping and digital tools for efficient road asset management, maintenance planning, and infrastructure optimization.
Next intake
20 Jul 2026 · Nakuru
Duration
10 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course equips professionals with practical skills in using GIS and digital tools for effective road asset management. Participants will learn to map, monitor, and analyze road networks, optimize maintenance planning, and improve decision-making using geospatial technologies. The course emphasizes hands-on exercises, case studies, and real-world applications to enhance infrastructure management efficiency.
Duration
10 Days
Who Should Attend
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Road and Transport Engineers
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Asset and Maintenance Managers
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Urban and Highway Planners
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GIS Specialists and Surveyors
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Public and Private Sector Infrastructure Professionals
What you'll walk away with
By the end of the course, participants will be able to:
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Apply GIS techniques for mapping and analyzing road networks.
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Use digital tools to assess road conditions and prioritize maintenance.
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Integrate GIS data with road asset management systems.
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Enhance decision-making through geospatial analysis and reporting.
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Implement best practices in digital road asset monitoring
What we cover, module by module
Module 1: Introduction to GIS & Road Asset Management
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Fundamentals of GIS and geospatial concepts
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Road asset management principles
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Data types and sources for road networks
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Case Study: GIS in national highway management
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Practical Exercise: Mapping basic road segments
Module 2:GIS Data Collection & Integration
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GPS and remote sensing for road data
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Integrating existing datasets into GIS platforms
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Data validation and quality control
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Case Study: Integrating road inventory datasets
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Practical Exercise: Field data collection simulation
Module 3:Road Network Mapping & Visualization
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Creating and managing geospatial road layers
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Network topology and attribute management
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Visualization techniques for decision-making
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Case Study: Urban road network GIS implementation
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Practical Exercise: Building interactive road maps
Module 4:Road Condition Assessment Using GIS
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Pavement condition indices and evaluation
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GIS-based pavement management systems
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Prioritizing maintenance based on road condition
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Case Study: Road deterioration mapping project
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Practical Exercise: Analyzing sample road condition data
Module 5:GIS-Based Asset Inventory Management
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Cataloguing road assets (signage, bridges, drainage)
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Linking asset attributes to GIS databases
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Reporting and visualization for maintenance planning
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Case Study: Asset inventory management for a county road network
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Practical Exercise: Creating a digital asset registry
Module 6:Spatial Analysis for Maintenance Planning
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Route optimization and maintenance scheduling
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Risk and hazard mapping
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Predictive maintenance using GIS analytics
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Case Study: Prioritizing road repairs using GIS
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Practical Exercise: Maintenance prioritization simulation
Module 7: Integration with Digital Tools & Road Management Systems
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Overview of road management software
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Integrating GIS with ERP and asset management systems
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Using mobile apps for data collection and monitoring
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Case Study: Implementing a GIS-integrated road management system
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Practical Exercise: Dashboard creation for road asset monitoring
Module 8 :Reporting, Dashboards & Decision Support
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Designing dashboards for management and stakeholders
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Data visualization for reporting and performance tracking
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Generating actionable insights from GIS analysis
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Case Study: GIS dashboards for city road authorities
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Practical Exercise: Create a performance dashboard
Module 9: Emerging Technologies in Road Asset Management
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Drones, IoT sensors, and smart monitoring tools
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Machine learning applications for asset management
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Future trends in digital road management
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Case Study: Smart highway monitoring project
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Practical Exercise: Simulated IoT data integration
Module 10:Capstone Project & Best Practices
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Integrated road asset management planning
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Practical application of GIS and digital tools
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Developing a complete road network management plan
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Case Study: Comprehensive GIS-based road asset project
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Practical Exercise: Draft a maintenance and monitoring plan
Where the change lands
Organizational Impact:
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Optimized road asset management and resource allocation
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Improved maintenance planning and cost efficiency
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Enhanced reporting and compliance with infrastructure standards
Individual Impact:
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Mastery of GIS mapping and digital road asset management tools
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Ability to analyze road networks and plan maintenance effectively
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Improved decision-making using geospatial analytics
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
- NakuruNext
20 Jul → 31 Jul·In-Person
Book this intake - Kigali
20 Jul → 31 Jul·In-Person
Book this intake - Accra
20 Jul → 31 Jul·In-Person
Book this intake - Kisumu
27 Jul → 07 Aug·In-Person
Book this intake - Johannesburg
27 Jul → 07 Aug·In-Person
Book this intake - Dakar
27 Jul → 07 Aug·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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For corporate teams
Training 10+ professionals?
We deliver Training on GIS Mapping & Digital Tools for Road Asset Management in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.
