GCRI · Cities and Built Environment

Social science for cities

Social and behavioural science explains how people experience the city: housing choices, travel, tenure, participation and inequality. In this field it supplies surveys, qualitative research and participatory methods that put residents’ experience beside physical data.

01Register

Social science for cities on the record.

Method recordSTEM method
  1. MethodSocial and behavioural science
  2. Applied inCities and Built Environment
  3. Canonical pageSTEM Commons
02Application

What social and behavioural science does here.

Social and behavioural science studies how individuals, groups and institutions think, act and organise. It explains vulnerability, risk perception, compliance and collective response to shocks. In cities and built environment, critical infrastructure and society and human development, social science identifies who is exposed and less able to cope, and why warnings are or are not acted upon. It informs equitable design of policies and interventions across interconnected risks. The canonical description is on the STEM Commons.

Housing and tenure surveys

Household surveys record housing costs, tenure, crowding and moves, with samples designed to include renters and informal residents.

Participatory planning research

Workshops and interviews with residents document local priorities and knowledge of hazards for use in plans, with consent and feedback.

Displacement studies

Studies follow households affected by evictions, disasters or redevelopment to understand where they go and how they fare.

03Monitor

Survey analysis.

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

Survey analysis

Cities · Social science for cities · Run R-8630

Estimates stableGCRI · Cities and Built Environment

Estimates

robust standard errors

Population in flood zone−0.190.13[−0.2, 0.7]Yes
Land surface temperature anomaly−0.060.11[−0.4, 0.3]No
Green and blue cover0.000.06[0.1, 0.6]Yes
Housing cost to income0.250.20[−0.1, 0.9]Yes

Method card

Method
Social and behavioural science
Sample
9224 obs
Design
stratified, weighted
Label
MODELLED

Residuals by group

Survey analysis: the screen’s structure, terms and states for Cities.Example names and illustrative values; a design, not a record or a live system.
04Data

What the method consumes.

Datasets and records used by social and behavioural science on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

DataRoleLabel
Household surveysHousing and tenureREPORTED
Qualitative interviewsExperience and prioritiesREPORTED
Administrative recordsEvictions and movesPublished statistics
05Simulator

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.

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
17%
Assets still working
44%
Amplification of the initial damage
3.3 times
Steps to settle
3
Numbers, methods and sources
StepTransport working (%)Power working (%)Telecoms working (%)
0898378
1786156
2615028
3615022

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).
06Validation

How results are checked.

Findings are tested through replication, triangulation of methods and pre-registered designs. Measurement instruments are checked for reliability and validity.

CheckHow it is done
Sampling coverageSamples are checked for inclusion of renters, informal residents and minorities
Ethics reviewResearch with residents passes ethics review and uses informed consent
Feedback to participantsFindings are returned to participating communities

Behaviour is context dependent and may change under stress. Self-reported data carry recall and social desirability biases.

07Methods and evidence

How social science for cities 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 social science for cities: 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.
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
09Stewardship

Who maintains the method.

Society and Human Development stewards social and behavioural science for the Consortium and reviews how it is applied across platforms.

11Questions

Questions and answers.

What are the limits of social and behavioural science in this field?
Behaviour is context dependent and may change under stress. Self-reported data carry recall and social desirability biases.
How are results checked?
Findings are tested through replication, triangulation of methods and pre-registered designs. Measurement instruments are checked for reliability and validity.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Where else is this method applied?
The canonical method page lists every platform that applies it.
ReportsContribute

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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
Cities and Built Environment

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