Landuse_Calculations

Purpose: To develop landuse datasets from ABAG Projections that can be used in VTA and CCAG Models.

This is python code that incorporates pandas to do the calculations.

Get Anaconda Python or your favorite jupyter notebook environment alternative to create a runnable enviornment.

Download and install packages using the "requirements.txt" file to get the right version of pandas to work with this code.

Use exp_growth_calculator_for_inputs.ipynb to generate intermediate MTC calculations files in the ABAG_03202018\ folder.
Use TAZ_Calcs.ipynb to generate the distributed calculation files for CCAG as well as BART.

Name		Name	Last commit message	Last commit date
Latest commit History 57 Commits
2017ABAGLanduseAllocation		2017ABAGLanduseAllocation
ABAG_03202018		ABAG_03202018
CCAG		CCAG
CCAGTAZ		CCAGTAZ
MTC		MTC
VTA_TAZ		VTA_TAZ
BART_2025_2035_clean_landuse_data.xlsx		BART_2025_2035_clean_landuse_data.xlsx
BART_zmast15_EIR.xlsx		BART_zmast15_EIR.xlsx
BART_zmast15_EIR_Zone_Corresp.csv		BART_zmast15_EIR_Zone_Corresp.csv
README.md		README.md
SSC_TAZ_to_City_Correspondence.xlsx		SSC_TAZ_to_City_Correspondence.xlsx
TAZ_Calcs.ipynb		TAZ_Calcs.ipynb
bart_calcs_clean2015_AvdH_corrected.xlsx		bart_calcs_clean2015_AvdH_corrected.xlsx
bart_calcs_clean2015_AvdH_input.csv		bart_calcs_clean2015_AvdH_input.csv
check_script.ipynb		check_script.ipynb
data_prep.py		data_prep.py
employment_cleaning.py		employment_cleaning.py
exp_growth_calculator.ipynb		exp_growth_calculator.ipynb
exp_growth_calculator_for_inputs.ipynb		exp_growth_calculator_for_inputs.ipynb
landuse_calcs.py		landuse_calcs.py
rel_vta_mtc.csv		rel_vta_mtc.csv
requirements.txt		requirements.txt

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