Other inputs and how to fill them out
There are many other inputs besides vehicle sales shares and fuel mixing assumptions that you can fill out in the model. I'll try to cover them all here. If you have any questions about any of the inputs, please let me know in the Feedback Form.
These are the vehicle ownership thresholds. Learn about them here.
Economy |
Measure |
Medium |
Transport Type |
Scenario |
Unit |
Frequency |
Data_available |
Value |
Comment |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Target |
Stocks_per_thousand_capita |
Yearly |
data_available |
663.12 |
NaN |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Reference |
Stocks_per_thousand_capita |
Yearly |
data_available |
663.12 |
NaN |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Target |
Stocks_per_thousand_capita |
Yearly |
data_available |
100.00 |
NaN |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Reference |
Stocks_per_thousand_capita |
Yearly |
data_available |
100.00 |
NaN |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Target |
Stocks_per_thousand_capita |
Yearly |
data_available |
800.00 |
NaN |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Reference |
Stocks_per_thousand_capita |
Yearly |
data_available |
800.00 |
NaN |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Target |
Stocks_per_thousand_capita |
Yearly |
data_available |
400.00 |
NaN |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Reference |
Stocks_per_thousand_capita |
Yearly |
data_available |
400.00 |
NaN |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Reference |
Stocks_per_thousand_capita |
Yearly |
data_available |
600.00 |
Expect doubling in ownership from '194 to 400' in REF and '194 to '280' in tgt |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Target |
Stocks_per_thousand_capita |
Yearly |
data_available |
400.00 |
Expect doubling in ownership from '194 to 400' in REF and '194 to '280' in tgt |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Target |
Stocks_per_thousand_capita |
Yearly |
data_available |
112.20 |
NaN |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Reference |
Stocks_per_thousand_capita |
Yearly |
data_available |
112.20 |
NaN |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Reference |
Stocks_per_thousand_capita |
Yearly |
data_available |
350.00 |
needed to decrease to 350 to achieve emissions targets |
00_ECONOMY |
Gompertz_gamma |
road |
passenger |
Target |
Stocks_per_thousand_capita |
Yearly |
data_available |
350.00 |
needed to decrease to 350 to achieve emissions targets |
The following tables are yearly growth rates for different parameters in the model. Generally they are left constant and as they are, but if there is a policy which might affect on of them, then they can be useful:
Date |
Economy |
Measure |
Vehicle Type |
Medium |
Transport Type |
Drive |
Scenario |
Unit |
Frequency |
Data_available |
Value |
2018 |
00_ECONOMY |
Mileage_growth |
bus |
road |
passenger |
cng |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
bus |
road |
passenger |
lpg |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
lt |
road |
passenger |
fcev |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
lt |
road |
passenger |
phev_d |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
lt |
road |
passenger |
ice_d |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
2w |
road |
passenger |
bev |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
bus |
road |
passenger |
fcev |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
bus |
road |
passenger |
phev_d |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
lt |
road |
passenger |
bev |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
2w |
road |
passenger |
ice_d |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
bus |
road |
passenger |
bev |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
bus |
road |
passenger |
ice_d |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
ht |
road |
freight |
ice_d |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
ht |
road |
freight |
phev_d |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
ht |
road |
freight |
fcev |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
ht |
road |
freight |
bev |
Reference |
% |
Yearly |
data_available |
1 |
2018 |
00_ECONOMY |
Mileage_growth |
ht |
road |
freight |
cng |
Reference |
% |
Yearly |
data_available |
1 |
As an example, if a country wanted to introduce a mandate for 100% HEV sales within ICE's then you can increase the new vehicle efficiency growth for a few years so that by the end of those, the efficiency of new ICE vehicles is the same as the efficiency of new HEV vehicles.
Date |
Economy |
Measure |
Vehicle Type |
Medium |
Transport Type |
Drive |
Scenario |
Unit |
Frequency |
Data_available |
Value |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
ht |
road |
freight |
ice_d |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
ht |
road |
freight |
fcev |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
2w |
road |
passenger |
bev |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
ht |
road |
freight |
phev_d |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
ht |
road |
freight |
bev |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
bus |
road |
passenger |
phev_d |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
bus |
road |
passenger |
fcev |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
lt |
road |
passenger |
ice_d |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
lt |
road |
passenger |
bev |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
bus |
road |
passenger |
bev |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
2w |
road |
passenger |
ice_d |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
bus |
road |
passenger |
ice_d |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
lt |
road |
passenger |
phev_d |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
lt |
road |
passenger |
fcev |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
bus |
road |
passenger |
cng |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
bus |
road |
passenger |
lpg |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
ht |
road |
freight |
cng |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
ht |
road |
freight |
lpg |
Reference |
% |
Yearly |
data_available |
1.01 |
2018 |
00_ECONOMY |
New_vehicle_efficiency_growth |
lt |
road |
freight |
bev |
Reference |
% |
Yearly |
data_available |
1.01 |
Date |
Economy |
Measure |
Vehicle Type |
Medium |
Transport Type |
Scenario |
Unit |
Frequency |
Data_available |
Value |
Drive |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
air |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
air_av_gas |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
air |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
air_diesel |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
air |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
air_electric |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
air |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
air_fuel_oil |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
air |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
air_gasoline |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
air |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
air_hydrogen |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
air |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
air_jet_fuel |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
air |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
air_kerosene |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
air |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
air_lpg |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
rail |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
rail_coal |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
rail |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
rail_diesel |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
rail |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
rail_electricity |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
rail |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
rail_fuel_oil |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
rail |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
rail_gasoline |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
rail |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
rail_kerosene |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
rail |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
rail_lpg |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
rail |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
rail_natural_gas |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
ship |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
ship_ammonia |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
ship |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
ship_diesel |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
ship |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
ship_electric |
2024 |
00_ECONOMY |
Non_road_intensity_improvement |
all |
ship |
freight |
Reference |
% |
Yearly |
data_available |
1.001 |
ship_fuel_oil |
Date |
Economy |
Measure |
Vehicle Type |
Medium |
Transport Type |
Drive |
Scenario |
Unit |
Frequency |
Data_available |
Value |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
bus |
road |
passenger |
cng |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
bus |
road |
passenger |
lpg |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
ht |
road |
freight |
cng |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
ht |
road |
freight |
lpg |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
freight |
bev |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
freight |
cng |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
freight |
fcev |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
freight |
ice_d |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
freight |
lpg |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
freight |
phev_d |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
passenger |
cng |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
passenger |
lpg |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
passenger |
phev_d |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
bus |
road |
passenger |
ice_d |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
bus |
road |
passenger |
fcev |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
passenger |
bev |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
passenger |
ice_d |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
bus |
road |
passenger |
phev_d |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
lt |
road |
passenger |
fcev |
Reference |
% |
Yearly |
data_available |
1 |
2023 |
00_ECONOMY |
Occupancy_or_load_growth |
ht |
road |
freight |
ice_d |
Reference |
% |
Yearly |
data_available |
1 |
Another example: This can be changed if the country is especailly focused on implementing policies that will improve the routing of vehicles. This is especailly useful for freight vehicles.
Date |
Economy |
Measure |
Medium |
Transport Type |
Scenario |
Unit |
Frequency |
Data_available |
Value |
2020 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
freight |
Reference |
% |
Yearly |
data_available |
1.0010 |
2021 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
freight |
Reference |
% |
Yearly |
data_available |
1.0010 |
2021 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
freight |
Target |
% |
Yearly |
data_available |
1.0010 |
2022 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
freight |
Reference |
% |
Yearly |
data_available |
1.0010 |
2022 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
freight |
Target |
% |
Yearly |
data_available |
1.0010 |
2020 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
passenger |
Reference |
% |
Yearly |
data_available |
1.0005 |
2020 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
freight |
Target |
% |
Yearly |
data_available |
1.0010 |
2021 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
passenger |
Target |
% |
Yearly |
data_available |
1.0005 |
2021 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
passenger |
Reference |
% |
Yearly |
data_available |
1.0005 |
2022 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
passenger |
Reference |
% |
Yearly |
data_available |
1.0005 |
2022 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
passenger |
Target |
% |
Yearly |
data_available |
1.0005 |
2020 |
00_ECONOMY |
Activity_efficiency_improvement |
road |
passenger |
Target |
% |
Yearly |
data_available |
1.0005 |
These are the results of regression analysis on past activity and macro data for projecting future activity growth. Learn more about them here.
Region |
const |
alpha |
r2 |
Model |
Gdp_per_capita_growth_coeff |
Gdp_times_capita_growth_coeff |
Gdp_growth_coeff |
Population_growth_coeff |
Population_growth_lag1_coeff |
Population_growth_lead1_coeff |
Gdp_per_capita_growth_lag1_coeff |
Gdp_per_capita_growth_lead1_coeff |
Gdp_times_capita_growth_lag1_coeff |
Gdp_times_capita_growth_lead1_coeff |
Gdp_growth_lag1_coeff |
Gdp_growth_lead1_coeff |
Economy |
Low_density |
0.019615 |
0.001 |
0.196650 |
lasso |
0.000000 |
0.000000 |
0.007287 |
0 |
0.000000 |
0.000000 |
0.000000 |
0 |
0 |
0.000000 |
0 |
0 |
01_AUS |
Low_density |
0.019615 |
0.001 |
0.196650 |
lasso |
0.000000 |
0.000000 |
0.007287 |
0 |
0.000000 |
0.000000 |
0.000000 |
0 |
0 |
0.000000 |
0 |
0 |
03_CDA |
Low_density |
0.019615 |
0.001 |
0.196650 |
lasso |
0.000000 |
0.000000 |
0.007287 |
0 |
0.000000 |
0.000000 |
0.000000 |
0 |
0 |
0.000000 |
0 |
0 |
12_NZ |
Low_density |
0.019615 |
0.001 |
0.196650 |
lasso |
0.000000 |
0.000000 |
0.007287 |
0 |
0.000000 |
0.000000 |
0.000000 |
0 |
0 |
0.000000 |
0 |
0 |
13_PNG |
Low_density |
0.019615 |
0.001 |
0.196650 |
lasso |
0.000000 |
0.000000 |
0.007287 |
0 |
0.000000 |
0.000000 |
0.000000 |
0 |
0 |
0.000000 |
0 |
0 |
16_RUS |
Low_density |
0.019615 |
0.001 |
0.196650 |
lasso |
0.000000 |
0.000000 |
0.007287 |
0 |
0.000000 |
0.000000 |
0.000000 |
0 |
0 |
0.000000 |
0 |
0 |
20_USA |
City |
0.015090 |
100.000 |
0.000000 |
lasso |
0.000000 |
0.000000 |
0.000000 |
0 |
0.000000 |
0.000000 |
0.000000 |
0 |
0 |
0.000000 |
0 |
0 |
02_BD |
City |
0.015090 |
100.000 |
0.000000 |
lasso |
0.000000 |
0.000000 |
0.000000 |
0 |
0.000000 |
0.000000 |
0.000000 |
0 |
0 |
0.000000 |
0 |
0 |
06_HKC |
City |
0.015090 |
100.000 |
0.000000 |
lasso |
0.000000 |
0.000000 |
0.000000 |
0 |
0.000000 |
0.000000 |
0.000000 |
0 |
0 |
0.000000 |
0 |
0 |
17_SGP |
Developing_high_density |
0.045676 |
0.001 |
0.167530 |
lasso |
0.000000 |
0.008333 |
0.005122 |
0 |
0.000000 |
0.002315 |
0.003223 |
0 |
0 |
0.007805 |
0 |
0 |
04_CHL |
Developing_high_density |
0.045676 |
0.001 |
0.167530 |
lasso |
0.000000 |
0.008333 |
0.005122 |
0 |
0.000000 |
0.002315 |
0.003223 |
0 |
0 |
0.007805 |
0 |
0 |
07_INA |
Developing_high_density |
0.045676 |
0.001 |
0.167530 |
lasso |
0.000000 |
0.008333 |
0.005122 |
0 |
0.000000 |
0.002315 |
0.003223 |
0 |
0 |
0.007805 |
0 |
0 |
10_MAS |
Developing_high_density |
0.045676 |
0.001 |
0.167530 |
lasso |
0.000000 |
0.008333 |
0.005122 |
0 |
0.000000 |
0.002315 |
0.003223 |
0 |
0 |
0.007805 |
0 |
0 |
11_MEX |
Developing_high_density |
0.045676 |
0.001 |
0.167530 |
lasso |
0.000000 |
0.008333 |
0.005122 |
0 |
0.000000 |
0.002315 |
0.003223 |
0 |
0 |
0.007805 |
0 |
0 |
14_PE |
Developing_high_density |
0.045676 |
0.001 |
0.167530 |
lasso |
0.000000 |
0.008333 |
0.005122 |
0 |
0.000000 |
0.002315 |
0.003223 |
0 |
0 |
0.007805 |
0 |
0 |
15_PHL |
Developing_high_density |
0.045676 |
0.001 |
0.167530 |
lasso |
0.000000 |
0.008333 |
0.005122 |
0 |
0.000000 |
0.002315 |
0.003223 |
0 |
0 |
0.007805 |
0 |
0 |
18_CT |
Developing_high_density |
0.045676 |
0.001 |
0.167530 |
lasso |
0.000000 |
0.008333 |
0.005122 |
0 |
0.000000 |
0.002315 |
0.003223 |
0 |
0 |
0.007805 |
0 |
0 |
19_THA |
Developing_high_density |
0.045676 |
0.001 |
0.167530 |
lasso |
0.000000 |
0.008333 |
0.005122 |
0 |
0.000000 |
0.002315 |
0.003223 |
0 |
0 |
0.007805 |
0 |
0 |
21_VN |
Developed_high_density |
0.031277 |
0.001 |
0.539116 |
lasso |
0.018947 |
0.002020 |
0.001762 |
0 |
0.010322 |
0.000000 |
0.000000 |
0 |
0 |
0.002328 |
0 |
0 |
05_PRC |
Developed_high_density |
0.031277 |
0.001 |
0.539116 |
lasso |
0.018947 |
0.002020 |
0.001762 |
0 |
0.010322 |
0.000000 |
0.000000 |
0 |
0 |
0.002328 |
0 |
0 |
08_JPN |
Developed_high_density |
0.031277 |
0.001 |
0.539116 |
lasso |
0.018947 |
0.002020 |
0.001762 |
0 |
0.010322 |
0.000000 |
0.000000 |
0 |
0 |
0.002328 |
0 |
0 |
09_ROK |
The Parameters.yml file is missing because it is a very large file. You can download it from the staging page, which comes up when you click 'run model' in the main page.