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Published March 10, 2023 | Version v1

Block-group level predicted mode share for NYS

  • 1. C2SMART

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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