Block-group level predicted mode share for NYS
Description
This is a dataset of block-group level predicted mode share for New York State. The prediction is based on a calibrated GLAM logit model with Replica's synthetic population dataset. The in-sample prediction accuracy is quite competitive, with an overall accuracy of 90.28% in New York State and 88.63% in New York City.
Files
mode_choice_probability.csv
Files
(21.5 MB)
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md5:c16694d64024791b1c8c89696dfdd5d9
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