Introduction

In the age of smart cities and sustainable development, transportation data analysis and urban planning are at the heart of building efficient, livable, and equitable urban environments. Transportation Data Analysis and Urban Planning Training Course is designed to equip professionals, researchers, and students with advanced skills in mobility data analytics, geospatial technologies, traffic forecasting, and sustainable transportation planning. Participants will learn to leverage big data, GIS, and AI tools to make informed, data-driven decisions that shape future urban infrastructure and policy. With a hands-on, project-based approach, the course integrates real-world case studies, enabling learners to bridge the gap between theory and application.

As cities worldwide face rising challenges such as congestion, climate change, and urban sprawl, data-driven planning has become more critical than ever. This course emphasizes trending techniques in urban analytics, machine learning, transportation modeling, and smart mobility systems. Participants will gain practical experience working with open-source platforms, transportation modeling software, and cloud-based urban data dashboards. Whether in government, private consulting, or academic research, learners will be empowered to optimize transit systems, reduce carbon emissions, and promote equitable access to urban mobility.

Programme Curriculum

Transportation Data Analysis and Urban Planning Training Course

Introduction
In the age of smart cities and sustainable development, transportation data analysis and urban planning are at the heart of building efficient, livable, and equitable urban environments. Transportation Data Analysis and Urban Planning Training Course is designed to equip professionals, researchers, and students with advanced skills in mobility data analytics, geospatial technologies, traffic forecasting, and sustainable transportation planning. Participants will learn to leverage big data, GIS, and AI tools to make informed, data-driven decisions that shape future urban infrastructure and policy. With a hands-on, project-based approach, the course integrates real-world case studies, enabling learners to bridge the gap between theory and application.

Course Objectives

Understand key concepts in urban planning and transportation systems
Utilize GIS and geospatial analytics for mobility pattern recognition
Apply big data tools for transportation data analysis
Design sustainable urban mobility frameworks
Conduct traffic demand modeling and forecasting
Use machine learning in urban transportation data analysis
Evaluate environmental impacts of transportation infrastructure
Create visualizations with transportation datasets using Python/R
Analyze public transit systems using open data
Integrate smart mobility solutions into urban planning
Explore equity and accessibility in transportation networks
Develop data-driven transportation policies and proposals
Interpret real-time data from sensors and IoT in urban planning

Target Audience

Urban planners and policy makers
Transportation engineers
Data scientists in mobility analytics
City and municipal officials
Environmental and sustainability consultants
GIS specialists and geographers
Civil engineering students and academics
Nonprofit and NGO professionals working on urban development

Course Duration: 5 days

Course Modules

Module 1: Foundations of Urban Planning and Transportation Systems

Introduction to urban transportation systems
Evolution of urban planning practices
Overview of transportation planning processes
Land use and transportation interactions
Case Study: New York City's Transit-Oriented Development
Regulatory frameworks in transportation planning

Module 2: GIS and Geospatial Analytics in Transportation

GIS basics for urban planning
Spatial analysis for mobility and accessibility
Mapping traffic and commuter patterns
Data sources: census, GPS, mobile apps
Case Study: Portland's Smart Mobility Maps
Visualization techniques in GIS

Module 3: Big Data and Mobility Analytics

Understanding big data sources in transportation
Cleaning and preprocessing large mobility datasets
Exploratory data analysis for traffic trends
Correlation and clustering in urban mobility
Case Study: Singapore’s Real-Time Transport Monitoring
Data fusion from multiple urban sources

Module 4: Transportation Modeling and Forecasting

Principles of traffic demand modeling
Tools: VISUM, TransCAD, and open-source alternatives
Scenario planning and simulation
Forecasting future transportation needs
Case Study: London’s Transport Demand Forecasting Model
Model validation and calibration techniques

Module 5: Sustainable and Equitable Mobility Planning

Climate change and transportation emissions
Sustainable transport policy frameworks
Planning for low-carbon urban mobility
Assessing equity in transport infrastructure
Case Study: Bogotá’s Bus Rapid Transit Equity Assessment
Tools for sustainability impact evaluation

Module 6: Machine Learning in Transportation Planning

Introduction to machine learning algorithms
Predictive analytics for traffic congestion
Anomaly detection in transit systems
Real-time decision-making models
Case Study: AI-based Traffic Optimization in Los Angeles
Ethical and privacy concerns in data use

Module 7: Public Transit Systems and Data Visualization

Overview of multimodal transit systems
Using GTFS and public transport APIs
Creating dashboards in Power BI and Tableau
Evaluating transit performance metrics
Case Study: Tokyo Metro’s Real-Time Passenger Flow Visualization
Interactive web mapping for public engagement

Module 8: Smart Cities, IoT, and Urban Mobility Innovations

Internet of Things in urban infrastructure
Integration of connected and autonomous vehicles
Urban mobility platforms and MaaS (Mobility-as-a-Service)
Using sensor data in planning decisions
Case Study: Barcelona’s IoT-based Smart Mobility Network
Governance and cybersecurity in smart mobility

Training Methodology

Interactive lectures using multimedia tools
Hands-on sessions with transportation data software
Real-world case study analysis and simulations
Group projects and peer review presentations
Expert webinars from urban planning professionals
Access to cloud-based GIS and data tools

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Transport analytics urban planning mobility modeling

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000