Key data sets
Folder
Name
Unit
Description
precalculated_inputs
calibratedAmenities
Pixel
Amenity index: follows calibration from Pfeiffer et al. (appendix C4)
precalculated_inputs
calibratedHousing_b
Parameter
Housing production function parameter, as calibrated in Pfeiffer et al. (table C7): capital elasticity
precalculated_inputs
calibratedHousing_kappa
Parameter
Housing production function parameter, as calibrated in Pfeiffer et al. (table C7): scale parameter
precalculated_inputs
calibratedUtility_beta
Parameter
Utility function parameter, as calibrated in Pfeiffer et al. (table C7): surplus housing elasticity
precalculated_inputs
calibratedUtility_q0
Parameter
Utility function parameter, as calibrated in Pfeiffer et al. (table C7): basic need in housing
precalculated_inputs
data
/
Matlab structure containing various household data, essentially at the SP level
precalculated_inputs
incomeCentersKeep
TAZ (2013)
Calibrated incomes per income group and job center (see Pfeiffer et al., appendix C3)
precalculated_inputs
lambdaKeep
Parameter
Gravity parameter of the minimum Gumbel distribution (see Pfeiffer et al.), as calibrated in appendix C3
precalculated_inputs
Transport_times_GRID
Pixel
Transport times for a round trip with several transportation modes between all grid cells
precalculated_inputs
Transport_times_SP
SP (2011)
Transport times for a round trip with several transportation modes between all census blocks
data_Cape_Town
TAZ_ampp_prod_attr_2013_2032
TAZ (2013)
Geographic data at the transport zone level, used to map employment data
data_Cape_Town
grid_reference_500
Pixel
Geographic data at the grid cell level, used to map model outputs
./Scenarios
Scenario_inc_distrib_1
Scenario
Lower inequality: income of groups 3 and 4 decrease by 10% relatively to groups 1 and 2
./Scenarios
Scenario_inc_distrib_2
Scenario
Reference scenario: income distribution remains the same as in 2011
./Scenarios
Scenario_inc_distrib_3
Scenario
Higher inequality: income of groups 3 and 4 increase by 10% relatively to group 1 and 2
./Scenarios
Scenario_inflation_1
Scenario
Reference scenario
./Scenarios
Scenario_interest_rate_1
Scenario
Reference scenario: interest rate constant after 2014
./Scenarios
Scenario_pop_1
Scenario
Low growth: population in 2040 is 10% lower than reference scenario
./Scenarios
Scenario_pop_2
Scenario
Reference scenario
./Scenarios
Scenario_pop_3
Scenario
High growth: population in 2040 is 10% higher than reference scenario
./Scenarios
Scenario_pop_20201209
Scenario
High growth: population in 2040 is 10% higher than reference scenario (alternative specification)
./Scenarios
Scenario_price_fuel_1
Scenario
Reference scenario: price of fuel increases with inflation
data_Cape_Town
grid_NEDUM_Cape_Town_500
Pixel
Standard geographic data on CoCT’s grid used in model
data_Cape_Town
grid_new_RDP_projects
Pixel
Scenarios for formal subsidized housing construction: used to define land availability
data_Cape_Town
grid_SAL_intersect
Pixel & SAL
Correspondance table between Small Areas and grid cells
data_Cape_Town
grid_SP_intersect
Pixel & SP (2011)
Correspondance table between Small Places and grid cells
data_Cape_Town
grid_amenities
Pixel (2011)
Exogenous amenities at grid cell level
data_Cape_Town
SP_amenities
SP (2011)
Exogenous amenities at SP level
data_Cape_Town
Income_distribution_2011
Parameter
Income distribution inputs into the model
data_Cape_Town
TAZ_amp_2013_proj_centro2
TAZ (2013)
Employment data at the Transport Zone level, used in calibration
flood_maps
…
Pixel
Flood depth hazard and share of flood-prone areas for fluvial undefended (FU), fluvial defended (FD), pluvial (P), and coastal (C) floods
data_Cape_Town
inf_dwellings_2020
Pixel
Number of informal dwellings in 2020, used to define land availability
occupation_maps
informal_settlements_risk
Pixel
Areas at risk of new informal settlements (9 scenarios)
occupation_maps
polygon_medium_timing
Pixel
Semi-agricultural land (Philippi neighbourhood), whose squatting risk can be changed to model push-back from farmers
precalculated_transport
[dim]_incomeNetOfCommuting_[year]
Pixel & SP (2011)
Income net of commuting costs for each income bracket in model, as calibrated in Pfeiffer et al. (see part 3.1 or appendix C3), simulated over 30 years
/root
housing_types_grid_sal
Pixel
Population density per housing type, used for validation
/root
housing_types_sal_analysis
/
SAL data that shows the breakdown across multiple housing categories and from which we recover aggregate population values
Aux data
HH-budget-floods
/
Breakdown of representative household budget in main districts, from which we deduce the fraction of composite good at risk of destruction from floods
Aux data
Transport-costs
/
Regression data that define fixed and variable components of various public transportation modes (based on Roux, 2013)