GCRI · Cities and Built Environment

Cities and Built Environment

Urban development, buildings, mobility, infrastructure, housing and human-scale resilience. Cities and Built Environment is an established platform of The Global Centre for Risk and Innovation.

STEM methods
9
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
5
Platforms in shared fields across the network
Report series
2
Reports series it contributes to
01Coverage

The areas of cities and built environment this platform takes on.

Cities and Built Environment studies how cities grow, house people, move them, keep them cool and supplied, and govern the risks that concentrate where people and assets do. Its pages set out the evidence on land and growth, housing, buildings and heat, mobility, informal settlements, utilities, green and blue infrastructure and the work of municipal government, with every value labelled by its evidence and every limit stated. It prepares evidence; city governments, residents and national authorities decide.

Area

Urban growth and land

Where cities expand, how densely, on what land and with what exposure to hazards.

Area

Housing and affordability

The supply, cost, quality and security of housing, and who is left without adequate shelter.

Area

Buildings and heat

How buildings and urban form trap or shed heat, and what that means for health and energy.

Area

Transport and mobility

How people reach work, school and services, by which modes, and with what safety and emissions.

Area

Informal settlements

Neighbourhoods built outside formal planning, their residents’ rights and their exposure to hazards.

Area

Urban utilities

Water, sanitation, drainage, waste and energy services at city scale, and who is not reached.

Area

Green and blue infrastructure

Parks, trees, wetlands and waterways that cool, absorb water and support wellbeing.

Area

Municipal governance

The powers, finances and data that city governments need to plan and manage urban risk.

02Monitor

Asset register with hazard overlay.

The screen a team would use to follow this field: its measures, states and decisions. Names are examples and values are illustrative.

Asset register with hazard overlay

Riverside ward · Flood 1-in-100 overlay

17 public assets exposedGCRI · Cities and Built Environment

Hazard overlay

flood scenario on asset register

RiverFlood extentExposed asset

Exposed assets

H-01Clinic0.7
S-07School0.4
E-03Substation0.8
W-02Pump station0.8

Adaptation options

Raise substation E-031MediumService continuityDesign
Retention park upstream12HighHeat, recreationFeasibility
Flood-proof clinic H-011LowHealth accessFunded
Asset register with hazard overlay: the screen’s structure, terms and states for Riverside ward.Example names and illustrative values; a design, not a record or a live system.
04Simulator

A cascade through interdependent networks.

A hazard footprint takes out co-located assets in every layer; fragmentation, dependency between layers and overload of the survivors then spread the failure. The 3D view separates the layers by depth. Teaching model with stated illustrative values, not a prediction. The map on this page shows India; the model itself is not tied to a place.

Controls

Assets per layer
18
Hazard footprint
8% of area
Assets that depend on another layer
60%
Spare capacity (tolerance)
30%

Readouts

Assets hit by the hazard
7%
Assets still working
35%
Amplification of the initial damage
8.8 times
Steps to settle
4
Numbers, methods and sources
StepTransport working (%)Power working (%)Telecoms working (%)
0949489
1837278
2501778
3331761
4331756

Methods

  1. Interdependent networks Buldyrev and others (2010), Catastrophic cascade of failures in interdependent networks, Nature 464
  2. Overload cascades Motter and Lai (2002), Physical Review E 66
  3. Betweenness load Brandes (2001), Journal of Mathematical Sociology 25
  4. Multilayer networks Kivela and others (2014), Journal of Complex Networks 2
  5. Infrastructure interdependencies Rinaldi, Peerenboom and Kelly (2001), IEEE Control Systems 21(6)
  6. Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  7. One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Data

The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:

  • Major roads Natural Earth
  • Railways Natural Earth
  • Seaports Natural Earth
  • Airports Natural Earth
  • Urban extents Natural Earth
  • Night lights tonight, outages (VIIRS Day/Night Band) NASA/NOAA VIIRS (Suomi NPP) · register nasa.gibs.context-live-layers
  • Natural events (NASA EONET) NASA EONET · register nasa.eonet.events
A cascade through interdependent networks. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Interdependent networks (Buldyrev and others (2010), Catastrophic cascade of failures in interdependent networks, Nature 464); Overload cascades (Motter and Lai (2002), Physical Review E 66); Betweenness load (Brandes (2001), Journal of Mathematical Sociology 25).
05Overview

What Cities and Built Environment does.

Urban resilience is the capacity of a city’s people, institutions, buildings and systems to cope with shocks and stresses and to adapt and recover. Cities and Built Environment covers urban growth and land, housing, buildings and heat, mobility, informal settlements, utilities, green and blue infrastructure and municipal governance. City governments, residents and national authorities decide.

Who it serves

Its community

Urban researchers; city staff; planners; architects; housing specialists.

How it works

Its methods

Urban GIS; vulnerability mapping; built-asset resilience; planning evidence.

What it produces

Its outputs

Urban resilience profiles; built-environment briefs; city research case studies.

06Twin and cascade simulator

Model Cities and Built Environment as a system. Run the cascade.

Assembled from the Nexus Standards area profile Cities and the built environment: the hazards it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.

Hazards

  • Ice-jam flood
  • Earthquake
  • Dam failure
  • Aftershock sequence (set off downstream)
  • Fault surface rupture (set off downstream)
  • Soil liquefaction (set off downstream)
  • Slope slide (set off downstream)
  • Rockfall (set off downstream)
  • Tsunami (set off downstream)
  • Building collapse (set off downstream)
  • Widespread power outage (set off downstream)
  • Water supply failure (set off downstream)
  • Mass displacement (set off downstream)
  • Disaster and conflict debris (set off downstream)
  • River flood (set off downstream)
  • Flash flood (set off downstream)
  • Turbidity current (set off downstream)
  • Seismically and structurally vulnerable stock (set off downstream)

Controls

  • NS-0 Constitution and principles
  • NS-3 Risk record UNIs (grammar, legacy crosswalk, allocation authority)
  • NS-5 Figure, map and visualisation standard (with the UI/UX kit)
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-10 Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NRS-X5 Cities and built environment risk
  • NRS-H91 Hazard family: Urban and building-stock stress (NHS-1 infra.urban)
  • NRS-H113 Hazard family: Financial-system fragility (NHS-1 soc.financial-system)
  • NRS-K7 Domain pack profile: Cities urban (DOMAIN-007)
  • NRS-H31 Hazard family: Persistent and bioaccumulative substances (NHS-1 poll.persistent)
  • NRS-H34 Hazard family: Waste and residue failures (NHS-1 poll.waste)

Observation

  • Global Human Settlement Layer (listed for reference)
  • WorldPop gridded population (listed for reference)
  • Overture Maps buildings theme (listed for reference)
  • OpenStreetMap (listed for reference)
  • World Development Indicators (listed for reference)
  • Direct economic loss in relation to global GDP, damage to critical infrastructure and number of disruptions to basic services, attributed to disasters
  • Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national strategies
  • Proportion of urban population living in slums, informal settlements or inadequate housing
  • Percentage of local governments that adopt and implement local disaster risk reduction strategies in line with national strategies

Example geography

  • India: 65 hexagonal cells
  • Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
  • Rain rate, last half hour (IMERG), NASA GIBS
  • Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
  • Surface soil moisture (SMAP), NASA GIBS
07Mandate and boundaries

What Cities and Built Environment studies, and who decides in cities.

Cities and Built Environment, studies how cities grow, house people, keep them cool and supplied, and govern the risks that concentrate in them. City governments, residents and national authorities decide on land, housing and services; the platform prepares evidence and methods.

City maps and heat layers shown here are illustrations unless marked as released, and informal settlements are described with their residents, never only about them.

08Risk and response

Coupled risk, applied response.

The sectors urban flood touches and how strongly they depend on each other: what a study has to observe and model together.

Choose a context

ACoupled risk across six sectors6 / 15 relations

Sectors · Urban floodStress

Illustrative: a teaching cascade over teaching values, not measurements.
BApplied response across six pillars11 / 18 handoffs

Pillars · Urban floodKPI

Illustrative applications; the values are published benchmarks, cited in the readout.

In this contextDependence or handoff, heavier is strongerOutside this context

Context

Urban flood

Flooded streets take out substations, pumping stations and clinic access together; drinking water fails when power does.

W · E · I · F · H · B

Risk

Sectors
4 of 6
Relations
6 of 15
Coupling
0.46 share of total

Hover a corner, a line or a row to trace it across both sides.

Route

Applied to urban flood

L · F · U · S · R · A

Response

Pillars
5 of 6
Handoffs
11 of 18
Loops
8 closed

Expected value

What is at stake
$390Ba year at least, in infrastructure disruption costs to households and firms in low- and middle-income countriesWorld Bank, Lifelines, 2019
Return on resilience
4 : 1benefit to costWorld Bank, Lifelines, 2019
Avoided loss
30%less damage with 24 hours’ warning of a storm or heatwaveGlobal Commission on Adaptation, Adapt Now, 2019

Hover a pillar, a line or a row to read how it is applied.

A: a teaching cascade (shock 0.6, gain 0.35, four rounds) over teaching values for a typical city-region, not measurements. B: illustrative applications and the KPI each pillar answers for; values are published benchmarks, cited, not forecasts. Open events: NASA EONET, live.

10Methods and evidence

How Cities and Built Environment is modelled, measured and tested.

The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.

System model

The couplings between the systems in Cities and Built Environment: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.

++−++CitiesCritical infrastructureSocietyCommunitiesEconomyR reinforcingB balancing
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.

Model, equations and assumptions

The model structure used for Cities and Built Environment, the assumptions it makes and how each is tested.

Risk of element iRi = f(Hi, Ei, Vi, Ci)hazard, exposure, vulnerability and coping capacity
Expected annual lossEAL = ∑k pk · Lkover events k with annual probability pk
Coupled systemsxt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error
AssumptionWhy it is madeHow it is tested
Hazard and exposure are independent within an eventKeeps the loss integral tractableCompare with a copula fit on joint records
Couplings are linear near the operating pointLets shocks propagate through APerturb beyond the linear range and compare
Vulnerability curves transfer between placesLocal curves are rarely availableValidate against observed losses where they exist
Inputs
versioned datasets with provenance
Outputs
distributions, never single numbers
Code
released with the model card and tests
Reproduction
same data, code, environment and seed
Standard risk and state-space formulations; the assumptions listed are typical of the method, stated for review, not results.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
11Reports, standards and contributions

Where urban evidence goes.

Urban analyses are designed for the Country Systems Risk and Resilience series and city-scale methods for the Methods and Technical series. Urban indicators would follow the ISO 37120 family and carry record identifiers under the proposed Nexus Standards.

  • Cities can propose a resilience scorecard review.
  • Residents can contribute local mapping through consent-aware routes.
  • Researchers can share heat and flood studies with methods.
12Geography

Urban signals in India.

Night lights, population density and daytime surface heat over India, from NASA GIBS. Each layer carries its own date.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

Urban signals, for this page

About this layer
Evidence
Observed
Source
VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
Provider
NASA LAADS DAAC
Licence
NASA open data
Vintage
daily; Satellite radiance, corrected for moonlight and atmosphere
Newest at build
2026-10-12
Resolution
about 500 m grid
Uncertainty
Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Estimated
Source
Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
Provider
NASA SEDAC (CIESIN, Columbia University)
Licence
CC BY 4.0
Vintage
null; Census-based estimate, static (2020)
Resolution
about 1 km grid
Uncertainty
Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (persistent cloud still leaves gaps)
Source
VIIRS NOAA-20 Level 3, 8-day (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
8-day; Satellite 8-day composite; persistent cloud still leaves gaps
Newest at build
2026-09-14
Resolution
about 1 km grid
Uncertainty
Satellite skin temperature of the ground over the 8 days ending on the date shown, a heat exposure indicator; not air temperature, heat index or a heat warning.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS NOAA-20 corrected reflectance (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite image
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled (latest year GIBS publishes)
Source
MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
Provider
NASA LP DAAC
Licence
NASA open data
Vintage
yearly; Satellite classification; latest year GIBS publishes
Newest at build
2024-01-01
Resolution
about 500 m grid
Uncertainty
Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
OMI Aura (NASA GES DISC)
Provider
NASA GES DISC
Licence
NASA open data
Vintage
daily; Satellite retrieval; clouds leave gaps
Newest at build
2026-10-10
Resolution
about 2 km grid
Uncertainty
Satellite column of nitrogen dioxide in the lower atmosphere on the day shown, mostly from combustion; not a ground-level concentration or a health warning.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Urban signals, framed on India.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · U.S. Geological Survey · NASA JPL OPERA DIST-ALERTSources and licences

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • OMI nitrogen dioxide (Aura) and OMPS aerosol index (Suomi NPP), NASA; distributed by the NASA GES DISC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • Live: NASA EONET Events are indicative, not authority warnings.
  • Live: U.S. Geological Survey Events are indicative, not authority warnings.
  • Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • Air quality forecast, 5 days, PM2.5 (CAMS via Open-Meteo): Contains modified Copernicus Atmosphere Monitoring Service information 2026.
  • Past year, daily temperature and sunshine (NASA POWER): These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science/Applied Science Program..
  • Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
  • Optional layers (16 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Nitrogen dioxide, lower atmosphere column: OMI Aura, NASA GES DISC · 10 Oct 2026

13The problem

Cities concentrate exposure and connect failures.

A city is a dense system of systems. Buildings depend on water, power, drainage and communications; people depend on transport to reach work, schools and clinics; and every service depends on others. Concentration brings efficiency and opportunity, and it also means that a single hazard can affect very large numbers of people and assets at once.

Urban risk is made, not only received. Where and how a city grows decides who lives on floodplains, steep slopes or reclaimed land. Sealed surfaces raise flood peaks; dark roofs and lost tree cover deepen urban heat; building codes, and whether they are enforced, decide how structures perform in earthquakes and storms. Informal settlements often occupy the most exposed land with the least access to services, while rising housing costs push people further from jobs and into poorer-quality buildings.

Failures cascade through dependencies. A heatwave raises electricity demand at the moment heat stresses the grid; an outage stops water pumping, traffic signals and cooling; flooded underground stations cut mobility across a whole region. Recovery is shaped by tenure, insurance, municipal capacity and social ties, so the same event can leave lasting inequality in its wake. Understanding the city as a connected whole is the precondition for planning that reduces harm.

14What the platform does

Urban evidence for those who plan and build.

The platform is designed for urban researchers, city staff, planners, architects and housing specialists. Its methods are urban GIS, vulnerability mapping, built-asset resilience and planning evidence.

Profiles

Urban resilience profiles

Structured descriptions of a city’s exposure, dependencies and capacities, with sources and uncertainty.

Briefs

Built-environment briefs

Concise evidence on a design, planning or housing question for practitioners.

Cases

City research case studies

Documented examples of what worked, what did not and why.

GCRI does not regulate, certify, license or approve. Planning, building control and investment decisions remain with the competent authorities and owners.

15Across the Consortium

Nine methods and five counterparts.

The platform draws on nine methods in the STEM Commons, including structural and earthquake engineering, urban and transport engineering, geospatial information systems and spatial statistics and geostatistics. How each applies to cities is set out on the STEM foundation of Cities and Built Environment.

Its counterparts look at the same places from other mandates, so that evidence produced here can inform governance and finance without being confused with either. At The Global Risks Forum (GRF), Disaster and Crisis Governance convenes the authorities that coordinate emergencies and recovery, and Information Integrity addresses public information in crises. At The Global Risks Alliance (GRA), Development Finance Nexus, Institutional Funds Nexus and Financial Cyber Resilience build shared industry understanding of urban investment and dependencies. Lifeline engineering itself is the subject of Critical Infrastructure at GCRI.

16Grounding

Built on named science, technology, engineering and mathematics.

Every claim on Cities and Built Environment rests on methods with a canonical page in the STEM Commons, so readers can see what a finding depends on and where its limits lie.

Structural and earthquake engineeringUrban and transport engineeringGeospatial information systemsSpatial statistics and geostatisticsSocial and behavioural scienceEarth and geophysical scienceSensors, IoT and observation networksEnergy generation, storage and grid technologyWater and environmental engineering

See the STEM foundation of Cities and Built Environment

17Cycle

How work moves in this field.

A question becomes evidence, a governed build, an organised community, a controlled test, a reviewed publication and, finally, a decision taken by the competent authority under its own rules.

  1. Question Universe National, regional or institutional priority. Question in Cities and Built Environment
  2. Evidence Foundry STEM foundation of the platform. Evidence in Cities and Built Environment
  3. Build Foundry Foundry. Build in Cities and Built Environment
  4. Organise Universe Nexus ecosystem. Organise in Cities and Built Environment
  5. Test Universe Universe (independent site). Test in Cities and Built Environment
  6. Publish Reports Reports. Publish in Cities and Built Environment
  7. Decide Competent authority Competent authorities and institutions, through NXS-RLS (participants, agreements and handoffs). Decide in Cities and Built Environment
  8. Renew Universe Corrections and the next annual agenda. Renew in Cities and Built Environment

Each step of the cycle in the pillar it runs in; the decision stays with the competent authority, outside the programme.

18Six pillars

How this works across the six pillars.

Cities and Built Environment works through six pillars of one annual programme, led by the Nexus Consortium, with GCRI, GRF and GRA each contributing in its role: explore, experiment and prototype in Labs, build, simulate and prepare in Foundry, convene and test in Universe, codify, correct and apply in Nexus Standards, publish in every format in Reports, teach in the open in Risk Academy.

Select pillars · hover lines18 / 18 handoffs

Route

The whole programme

Every pillar hands its work to another; together they close the year’s feedback loops.

L · F · U · S · R · A

Pillars
6 of 6
Handoffs
18 of 18
Loops
17 closed

Handoffs in play

  • F01Universe → Foundry · Admitted mission becomes a cycle project with a decision caseReadiness preparation
  • F02Foundry → Universe · Core Build Report and go or no-go evidenceControlled build
  • F03Foundry → Reports · Sealed observations and indicator series behind a profileCloseout
  • F04Universe → Reports · After-action and scenario findings for chapters 10 and 13After-action review

and 14 more

F01 to F14 are the recorded handoffs of the programme year, each with the artefact that moves and its phase; R1, R2, R3 and R4 carry work around the ring. A loop counts when every pillar on it is selected. Every pillar is led by the Nexus Consortium.
  1. LabsWhere questions become experiments and prototypes: new methods, data and tools are tried in the open, with their limits on record, before the Foundry builds them, under the Nexus Consortium.Labs
  2. FoundryWhere methods, data and models become reproducible builds, each run with its inputs, version and limits on record.Cities and Built Environment in FoundryFoundry
  3. UniverseWhere a build is tested under controlled conditions with independent evaluators, so a method’s skill is measured, not assumed.Cities and Built Environment in Universeuniverse.nexus
  4. Nexus StandardsWhere methods, identifiers and data schemas are codified in the open and corrected when a test finds a fault.Cities and the Built Environment in Standardsnexustandards.com
  5. ReportsWhere findings are published with their method, uncertainty and evidence class, and corrected as new versions.Cities and Built Environment in ReportsReports
  6. Risk AcademyWhere methods and systems are taught on real data and real places, by working the case, on Risk Academy.Faculty of Infrastructure, Energy and Industry in Academyrisksacademy.com
19Frameworks

What the work is read against.

The platform does not set standards. It reads its evidence against the frameworks that competent bodies have adopted, so a finding can be placed where a decision-maker already works.

Framework or standardBodyWhat it sets
New Urban AgendaUnited Nations (Habitat III), with UN-HabitatShared commitments on urban planning, housing, services and governance
Sustainable Development Goal 11United NationsTargets and indicators for safe, resilient and sustainable cities and human settlements
Degree of UrbanisationUN Statistical Commission, with the EC, FAO, ILO, OECD, UN-Habitat and World BankA harmonised method for classifying cities, towns and rural areas for international comparison
ISO 37120, ISO 37122 and ISO 37123International Organization for Standardization (ISO/TC 268)Indicators for sustainable, smart and resilient cities
Making Cities Resilient initiative and Disaster Resilience Scorecard for CitiesUNDRRA resilience roadmap and self-assessment built on ten essentials
IUCN Global Standard for Nature-based SolutionsInternational Union for Conservation of NatureCriteria for designing and verifying nature-based solutions
WHO Housing and health guidelinesWorld Health OrganizationRecommendations on crowding, indoor temperatures, injury hazards and accessibility in housing
Common Reporting FrameworkGlobal Covenant of Mayors for Climate and EnergyReporting of city emissions inventories, risk assessments and action plans
24Questions

Questions and answers.

Who publishes Cities and Built Environment?
The Global Centre for Risk and Innovation (GCRI) publishes Cities and Built Environment and is responsible for what it publishes. GCRI is a research, development and policy institution. It is not a regulator, and it does not certify, license or approve; its findings carry their methods and uncertainty.
Is Cities and Built Environment active?
Cities and Built Environment is an established platform of The Global Centre for Risk and Innovation. Information and enquiries are open today. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.
How can I contribute?
Start with the participation paths or write to the contact form. An enquiry receives a reference; it does not create membership, a role or an assignment.
Where are findings published?
Reviewed outputs appear on the publications page, and contributions to the Reports series are listed on Publish in Reports.
Which values on this platform are real?
Indicator names, units, sources, methods and frameworks are real. Levels in figures and canvases are examples in a design. A programme replaces them with labelled evidence it owns.
How do I report an error?
Use corrections and concerns, or write to the integrity concern form. A correction is recorded as a new version, never a silent edit.
How does this platform differ from Critical Infrastructure?
Cities and Built Environment serves the urban planning, housing and design community. Critical Infrastructure serves the engineers and operators of specific lifelines. The two link wherever a city depends on a lifeline.
Does the platform assess individual buildings or approve plans?
No. It publishes research and methods. Building control, planning permission and safety decisions belong to the competent authorities.
ReportsContribute

Contribute evidence from this page.

Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

GCRICities and Built EnvironmentGlobal Sector Risk and ResilienceEvidence Brief
How it works

How Cities and Built Environment works.

Choose a view and press Play to follow the platform’s process, its programme year, the standards it applies and how its findings are published. The outline shows how the work is designed to run, not the status of any decision.

Cities and Built Environment

How Cities and Built Environment works

Platforms · Programme year · Standards · Reports

A platform joins a field to named methods, labelled evidence and the outputs it publishes, without becoming the authority it serves.

  1. 01 Scope

    1. 01Field and familiesStart · The platform leadThe home states the field, its families and who it serves.
    2. 02Topic dossiersRecord · Platform authorsTopics explain the subject with labelled evidence.
  2. 02 Evidence

    1. 03Evidence labelsRecord · GCRIEach value is labelled: observed, published statistics, estimated, modelled, scenario or unknown.
    2. 04MethodsStep · Method ownersMethods come from the STEM Commons, each with one canonical page.
  3. 03 Work

    1. 05Scenarios on the systemsModel · Foundry pillarScenarios run on the Nexus systems, labelled as scenario.
    2. 06Standards that applyRecord · Nexus StandardsThe platform names the standards that apply. A validator report is evidence for review.
  4. 04 Publish

    1. 07EditionsRecord · ReportsFindings are published through Reports with their limits.
    2. 08Authority decidesOutcome · The competent authorityDecisions and execution stay with the government, operator or licensed institution.

Cities and Built Environment home · Platforms · Shared methodsAn outline of how the work is designed to run; it does not report the status of any decision or record.

Take part

Take part in Cities and Built Environment.

Start from who you are. Answer an open call. Or form and lead a competence cell on the Cities and Built Environment platform.

Route

National institutions

Ministries, statistics offices and agencies: a national desk and chapter, and a seat in the working groups. National chapters

Route

Sectors and professions

Operators, regulators, banks, insurers and professional bodies whose work touches Cities and Built Environment. Participate

Route

Learning

Courses and practice, with a record of every course completed. Free to study. Open learning

Route

Standards

Draft, review and adopt the methods and data standards with the working groups. Working groups

Route

Communities and research

Universities, civil society and individual experts: projects, data and review. Write to the team

The Global Risks Index

Every figure on this page is indexed: infrastructure, society, demography, India.

The Index is the Consortium’s indexing system for risk data. Every indicator, hazard, series and country profile carries its Nexus Standards identifier, its source and its licence, so what this page shows can be traced, corrected and reused.

  1. 01 · Sources205 registered sourcesEvery value keeps its source and licence; withheld values are counted.Data and licences
  2. 02 · Nexus StandardsNIS-1 and NHS-1451 indicators, 905 hazards; every record carries a UNI.Nexus Standards
  3. 03 · The Index54 series, 195 country profilesComputed on the standards; no value is published until an edition is released.The Global Risks Index
  4. 04 · This pageCities and Built EnvironmentMaps, figures and feeds read the Index in the context of infrastructure, society, demography and India.Public API
Sources205registered, each with its licence
Indicators451NIS-1, 106 composites, 20 domain indices
Hazards905NHS-1, crosswalked to UNDRR-ISC HIPs
Series54global, sector, strategic, technology, thematic
Country profiles195one site per country

Series in this context infrastructure, society, demography

  1. GSGlobal CitiesUrban exposure, heat, flooding, informal settlement, service dependency and the economic weight of cities at risk.NXS-GRX-AR-000068Demography · Hazards · Infrastructure
  2. GLBGlobal SystemsThe state of interdependent global risk: the twenty domain indices aggregated to the world, the five core systems (water, energy, food, health, biodiversity) and their couplings, the global tail register and the gap…NXS-GRX-AR-000002Hazards · Society · Infrastructure
  3. GSGlobal DisasterMulti-hazard exposure, disaster losses and mortality, return-period losses, protection gaps and coping capacity.NXS-GRX-AR-000066Hazards · Infrastructure · Society
  4. THDisaster Risk Reduction (DRR)Hazard, exposure, vulnerability, capacity, preparedness, redundancy and recovery readings for planning and learning, aligned to the Sendai Framework targets.NXS-GRX-AR-000109Hazards · Infrastructure · Society

All 54 series · The 20 domain indices

Country profiles India

Every country profile carries the source and licence of each value. Correct a value or reply

Hazard domains NHS-1

Geodata and API open

Open layers on an equal-area hexagon grid, shown as densities per km² or as symbols: People · GHSL 2025People · WorldPop 2025Built-up areaPortsAirportsRoadsRailwaysRivers and lake centrelines

/api/v1/public/grix · https://nexustandards.com/uni/{uni}
Developers · Data · Made with Natural Earth, Public domain; GHSL and WorldPop, CC BY 4.0

Snapshot of the Index registries pinned 2026-10-23 · 22c6eed. Research and risk-analytics information: not a rating, an official classification, a warning, a benchmark or advice.

Cities and Built Environment

Bring a method, a dataset or a question.

Information and enquiries are open today. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.

The Global Centre for Risk and Innovation

Science · evidence · measurement

Not for profit

Our articles, maps and twins are free to read and free to republish. Readers and partners keep it that way.

Support our work

Who funds us

GCRI is a not-for-profit institution. To ask who funds a piece of work, use the funding questions form.

Independence

Editors and the expert reviewers named on each article decide what we publish. Funders and partners do not review or approve articles before publication.

Licence

Articles: CC BY 4.0. Figures, maps, twins and data: CC BY 4.0. Other uses: ask through the permissions form.