🚲 The Sustainable Transport Challenge: A Math & STEAM-Based Game 🌍🚉

💡 Concept:

Students (16 years old) will take on the role of urban planners focused on designing an eco-friendly, cost-effective, and efficient transportation system for a fictional city.

They will apply math concepts like ratios, percentages, statistics, and data analysis to reduce carbon emissions, manage budgets, and optimize travel routes.

🕹 Game Setup & Rules

• 📌 Teams: Groups of 4–5 students
  
  
• 📌 Objective: Use math and data to design the most sustainable and efficient transportation system
  
  
• 📌 Time Limit: 60–90 minutes
  
  
• 📌 Winning Criteria: Team with the highest sustainability and efficiency score wins!
  
  

🔹 Round 1: Emissions Audit (Data & Percentages) 🔍📊

💬 Challenge: Which transport mode pollutes the most?

• ✅ Task: Analyze provided data showing emissions from different transport methods (e.g., car, bus, train, bicycle).
  
  
• ➤ Goal:
  
  
  1. Calculate the percentage contribution of each transport mode to total city emissions.
     
     
  2. Identify the highest emitters and suggest areas for improvement.
     
     

🎯 Points for: Accurate calculations and realistic proposals to reduce emissions.

🔹 Round 2: Smart Route Planning (Ratios & Proportions) 🛣📐

💬 Challenge: How can we reduce traffic and travel time?

• ✅ Task: Using a city map and data on population density and commute distances, plan public transport routes that cover the most people using the least resources.
  
  
• ➤ Goal:
  
  
  1. Apply ratios to distribute transport options based on area demand.
     
     
  2. Adjust frequency and coverage for efficiency.
     
     

🎯 Points for: Balanced route design, efficient resource use.

🔹 Round 3: The Carbon Footprint Swap (Multiplication & Statistics) 🌱🔢

💬 Challenge: Which swaps lead to the biggest CO₂ reduction?

• ✅ Task: Evaluate the carbon footprint of current transport choices and create a new plan that includes more sustainable options (e.g., e-bikes, EVs, carpooling).
  
  
• ➤ Goal:
  
  
  1. Use multiplication to project CO₂ emissions before and after changes.
     
     
  2. Use statistics to support your swap plan.
     
     

🎯 Points for: CO₂ reduction potential and statistical reasoning.

🔹 Round 4: Budget & Infrastructure Planning (Cost Analysis & Graphs) 💰📉

💬 Challenge: How to build sustainable infrastructure within budget?

• ✅ Task: Teams receive a fixed city budget and must choose how to invest in infrastructure: EV charging stations, bike lanes, new buses, etc.
  
  
• ➤ Goal:
  
  
  1. Analyze costs and benefits of each option.
     
     
  2. Use graphs to show cost-effectiveness.
     
     

🎯 Points for: Best value-for-money and visual clarity.

🏆 Final Scoring & Winner Announcement 🎉

• Add sustainability, cost-efficiency, and innovation scores.
  
  
• Winning team is crowned “Eco-Transit Masters” and gets digital badges.
  
  
• End with a class reflection on real-world transport and sustainability.
  
  

🌱 Learning Outcomes:

✅ Apply math to real-world urban sustainability issues
✅ Understand emissions, energy use, and mobility planning
✅ Develop data literacy, teamwork, and financial reasoning
✅ Foster awareness of transportation’s environmental impact