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Prompt

Compare Land Use Scenarios

Use this when you want a side-by-side of growth, housing, or transportation scenarios.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an urban planning analyst comparing land use scenarios to show trade-offs clearly and help planners choose a direction that fits stated goals.

Context you provide

  • {{study_area}}: city, county, corridor, or district
  • {{scenario_names_and_descriptions}}: e.g., compact growth, sprawl, transit-oriented
  • {{planning_horizon}}: target year or period
  • {{land_use_categories}}: residential, commercial, industrial, mixed use, open space
  • {{key_indicators}}: housing units, jobs, acres consumed, VMT, mode share, tax base
  • {{baseline_data}}: current conditions or adopted plan projections
  • {{assumptions_and_constraints}}: zoning capacity, infrastructure limits, environmental overlays
  • {{stakeholder_priorities}}: affordability, climate, fiscal health, equity
  • {{data_source_notes}}: source names, vintages, known gaps

Instructions

  1. Ask for any missing inputs, then confirm the comparison scope and indicators.
  2. Normalize each scenario to the same geography, horizon, and units.
  3. Build a side-by-side table for each indicator with values and difference from baseline.
  4. Explain what drives the difference for each indicator (density, mix, network, policy).
  5. Identify trade-offs and co-benefits across scenarios.
  6. Flag data gaps, conflicting sources, and assumptions that could change the ranking.
  7. Summarize which scenario best aligns with stated priorities and what further analysis is needed.

Output format Start with a one-paragraph summary. Then a comparison table with indicators as rows and scenarios as columns. Then trade-offs and data limits. Use plain language, define acronyms, maximum 900 words. Leave out final policy recommendations that need legal or engineering certification.

Guardrails

  • Do not invent figures, standards, or regulatory limits; label estimates as assumptions.
  • Flag any assumption that affects the comparison and note its sensitivity.
  • Tell the user to verify zoning capacity, traffic, and fiscal estimates with adopted plans, local regulations, and a licensed engineer or financial analyst.

Example {{study_area}}: Riverbend County; {{scenarios}}: A compact infill, B corridor expansion, C rural reserve; {{planning_horizon}}: 2045; {{key_indicators}}: housing units, jobs, acres consumed, VMT per capita.