AI for Urban Analytics, Smart Cities and Climate-Responsive Planning

Aim

Workshop Objectives

Workshop Structure

📅 Day 1: Foundations of AI for Urban Analytics and Smart Cities

• Introduction to urban analytics and data-driven city planning
• Understanding smart cities and climate-responsive urban development
• Role of AI in urban heat mapping, mobility analytics, land-use intelligence, and climate adaptation
• Understanding urban datasets: satellite imagery, land use, road networks, population, mobility, and environmental indicators
• Basics of geospatial thinking for city-scale analysis
• Introduction to urban heat island effects and climate vulnerability in cities
• Developing a basic urban analytics framework for planning and sustainability decisions

🛠️ Hands-on:

• Hands-on 1: Urban Data Mapping and Indicator Matrix Preparation
• Hands-on 2: Basic City Map Visualization using QGIS

🧰 Tools Covered: QGIS, Python, Google Earth Engine, Google Sheets

📅 Day 2: Urban Heat Mapping and Land-Use Intelligence

• Understanding urban heat islands and their impact on climate resilience
• Introduction to satellite-based urban analysis using Google Earth Engine
• Working with land surface temperature, vegetation cover, built-up area, and land-use indicators
• Using Python for basic geospatial and urban data analysis
• Identifying heat-prone zones and climate-vulnerable urban areas
• Understanding land-use intelligence for sustainable planning
• Interpreting urban heat and land-use patterns for climate adaptation strategies

🛠️ Hands-on:

• Hands-on 1: Urban Heat Mapping using Google Earth Engine
• Hands-on 2: Land-Use and Climate Indicator Analysis using Python / QGIS

🧰 Tools Covered: Google Earth Engine, Python, QGIS, Google Colab

📅 Day 3: Mobility Analytics and Climate-Responsive Planning Dashboards

• Introduction to mobility analytics for smart city planning
• Understanding movement patterns, accessibility, congestion, and urban service reach
• Using Kepler.gl for interactive mobility and spatial data visualization
• Connecting heat, land use, and mobility indicators for climate-responsive planning
• Designing urban planning dashboards for decision-making
• Scenario thinking for climate adaptation: green cover, cool roofs, transit access, and walkability
• Preparing a final urban analytics workflow for research, policy, or professional planning use

🛠️ Hands-on:

• Hands-on 1: Mobility and Urban Pattern Visualization using Kepler.gl
• Hands-on 2: Mini Project: Climate-Responsive Urban Analytics Dashboard

🧰 Tools Covered: Kepler.gl, QGIS, Python, Google Earth Engine

Who Should Enrol?

Important Dates

Workshop Outcomes