City Simulation Template
A substrate‑aligned scaffold for modeling cities as living, multi‑domain systems#
Cities are not collections of buildings — they are dense convergence zones where nearly every EcoEchoSystem domain interacts simultaneously.
A city simulation models how Structure (S), Activation (E), and Relational Time (R) co‑evolve across:
- population
- infrastructure
- economy
- governance
- ecology
- psychology
- technology
This template defines how to build coherent, cross‑domain city simulations that remain compatible with the EcoEchoSystem substrate.
Purpose#
The city simulation template exists to:
- model cities as living, adaptive systems
- integrate multiple domains at a single spatial scale
- support regime shifts, crises, and recovery
- enable scenario exploration and policy testing
- serve as a bridge between micro agents and civilization‑scale dynamics
- remain simulation‑ready and extensible
Cities are substrate amplifiers — small changes propagate fast.
City as a Substrate Node#
In EcoEchoSystem terms, a city is:
- a structural hub
- an activation concentrator
- a temporal accelerator
Cities compress time, intensify energy, and densify structure.
Substrate Framing (S/E/R)#
Every city simulation must explicitly define its S/E/R expression.
Structure (S)#
Defines the city’s persistent architecture.
Examples:
- spatial layout
- infrastructure networks
- zoning and land use
- institutional structures
- demographic distribution
Clarify:
- what constrains movement
- what defines neighborhoods
- where bottlenecks and hubs exist
Activation (E)#
Defines intensity and pressure within the city.
Examples:
- economic activity
- traffic and mobility
- stress and unrest
- energy consumption
- information flow
Clarify:
- what drives volatility
- what amplifies instability
- what requires regulation
Relational Time (R)#
Defines how time behaves in the city.
Examples:
- daily rhythms
- economic cycles
- development timelines
- crisis compression
- long‑term growth or decay
Clarify:
- recovery pacing
- planning horizons
- temporal memory
Core City Regimes#
Define the canonical regimes a city can occupy.
Examples:
- stable growth regime
- high‑activation boom regime
- scarcity or austerity regime
- unrest or collapse regime
- recovery and reintegration regime
Each regime must specify:
- S configuration
- E intensity
- R behavior
City Dynamics#
Describe how the city changes over time.
Include:
- regime transitions
- drivers of growth or decline
- internal feedback patterns
- external shocks
This section defines motion, not layout.
Stability Cycles#
Define recurring city‑scale cycles.
Examples:
- growth → congestion → adaptation
- stress → unrest → reform
- expansion → fragmentation → reintegration
Clarify:
- what stabilizes the city
- what destabilizes it
- how recovery occurs
Feedback Loops#
Describe how city actions feed back into themselves.
Examples:
- economic growth ↔ housing pressure
- congestion ↔ infrastructure investment
- unrest ↔ governance response
Include:
- stabilizing loops
- amplifying loops
- learning loops
- collapse loops
City Networks#
Define the city’s internal topology.
Examples:
- transportation networks
- economic networks
- social networks
- information networks
- ecological flows
Clarify:
- hubs
- chokepoints
- redundancy
- fragility
Cross‑Domain Interfaces#
Describe how the city interfaces with domains.
Examples:
- ecology ↔ economy
- psychology ↔ governance
- infrastructure ↔ biology
Cities are interface‑dense environments.
Multi‑Scale Behavior#
Describe how city dynamics span scale.
Examples:
- individual agents
- neighborhoods
- districts
- metropolitan region
Clarify:
- bottom‑up emergence
- top‑down constraint
Simulation Hooks#
Define how the city can be simulated.
Include:
- state variables
- regime indicators
- transition triggers
- control levers
- observability metrics
This enables playable and testable models.
Failure Modes#
Describe how the city breaks.
Examples:
- infrastructure collapse
- economic implosion
- governance failure
- social fragmentation
Failure modes are critical for resilience modeling.
Integration Notes#
Summarize how the city fits into larger systems.
Examples:
- regional economy
- national governance
- planetary ecology
Cities are civilization microcosms.
Status#
Indicate maturity:
- concept
- prototype
- stable
- evolving
Usage Guidance#
Notes for contributors and AI agents.
Include:
- extension patterns
- known limitations
- scenario ideas
Template Usage Rule#
This template must be followed for all city‑scale simulations unless deviation is explicitly justified.
Cities are complex — substrate incoherence is catastrophic.