EngineeringGrades 9-12Advanced

    Sustainable City Design Challenge

    Engineering systems thinking through urban infrastructure design

    90 minTeams of 4–55E Model

    Lesson Overview

    Student teams act as urban engineers tasked with designing a 1-kmΒ² sustainable city district. They must balance competing constraints β€” energy, water, transportation, housing density, and green space β€” while minimizing carbon footprint. Teams use systems thinking, quantitative trade-off analysis, and iterative design to produce a justified proposal β€” aligned to NGSS HS-ETS1-1 through HS-ETS1-4.

    Learning Objectives

    Students will be able to:

    • Apply systems thinking to identify interdependencies among infrastructure components (energy, water, transport, housing)
    • Quantitatively analyze trade-offs between competing engineering constraints using a weighted decision matrix
    • Design an urban district that meets defined criteria: carbon footprint target, housing density requirement, green space minimum, and budget ceiling
    • Construct a technical brief with labeled site plan, quantitative justifications, and an analysis of design trade-offs

    Lesson Phases (5E Model)

    • 1Show satellite images of contrasting urban areas: Houston (sprawl, high carbon) vs. Amsterdam (density, transit, low carbon) β€” ask: 'Which city would you rather engineer? What did each designer prioritize?'
    • 2Introduce the scenario: 'Your team has been awarded the contract to design a new 1-kmΒ² district in a growing mid-size city. The city council has three non-negotiable requirements and a budget.'
    • 3Reveal the constraints: (1) Carbon footprint ≀ 40 kg COβ‚‚/person/year, (2) β‰₯ 2,000 housing units, (3) β‰₯ 20% green space, (4) Total budget ≀ 50M carbon credits
    • 4Ask teams: 'What questions do you have before you start? What information do you need?'

    πŸ“ Teacher Notes

    Let students voice their questions β€” write them on the board. These questions will guide the Explore phase. The goal is productive ambiguity, not hand-holding.

    Assessment Strategies

    Decision Matrix

    Scored on correct quantitative weighting and evidence-based ranking β€” not just arbitrary choices

    Technical Brief

    Rubric: constraint compliance (all 3 met?), quantitative justification, quality of trade-off analysis, systems interdependency identification

    City Council Pitch

    Peer-scored on clarity of claim, quantity of evidence, and quality of response to questions

    Extension Activities

    • β†’Research the 15-minute city concept β€” how does Paris's urban redesign embody this principle?
    • β†’Calculate the Levelized Cost of Energy (LCOE) for your energy choices β€” compare solar vs. natural gas
    • β†’Use GIS tools (ArcGIS Online free tier) to explore real urban density and infrastructure data
    • β†’Advanced: Model carbon sequestration from your green space using published biomass density data

    At a Glance

    Grade BandGrades 9-12
    Duration90 min
    Group SizeTeams of 4–5
    DifficultyAdvanced
    SubjectEngineering
    Lesson Model5E Instructional Model

    Materials

    • 1-kmΒ² city grid template (printed, large format)1 per team
    • Land-use zoning cards (residential, commercial, industrial, green, transit)1 set per team
    • Constraint budget sheet (carbon credits, $, water units)1 per team
    • Decision matrix template1 per student
    • Colored pencils or markers1 set per team
    • Technical brief template (2 pages)1 per student
    • Calculator1 per team

    Key Vocabulary

    Systems thinking
    An approach to problem-solving that views a problem as part of a larger interconnected system
    Trade-off analysis
    A process of evaluating options by comparing their advantages and disadvantages against defined criteria
    Carbon footprint
    The total greenhouse gas emissions caused directly or indirectly by an individual, organization, or product
    Decision matrix
    A tool that evaluates and prioritizes options based on weighted criteria
    Infrastructure
    The physical systems (roads, utilities, buildings) that support a community
    Optimization
    Finding the best solution within given constraints β€” maximizing benefit while minimizing cost or harm

    Standards Alignment

    NGSS
    HS-ETS1-1HS-ETS1-2HS-ETS1-3HS-ETS1-4HS-ESS3-4

    Next Generation Science Standards

    Digital Tools

    • β†’Engineering Academy β€” Bridge Builder & Structural Simulations
    • β†’Engineering Academy: Systems Engineering Module

    Bring this curriculum to your school

    Schedule a meeting with our team to discuss district-wide implementation.