Triangle Travel Survey Shopping Travel Analysis data

This Zenodo repository contains data used in the Triangle Travel Survey shopping analysis project, funded by the STRIDE UTC. Due to privacy concerns, the original data cannot be reproduced here (qualified researchers can contact the Institute for Transportation Research and Education at NC State to request access). This repository contains aggregated outputs that may be useful for some further analyses. Most files include our preferred marginal distance approach, as well as values calculated using the "shopping destination" method wherein the lengths of trips going to stores are summed, and the "round-trip" method where all shopping is assumed to generate round trips. In the previous version, the round-trip method means reported here did not remove households with the longest trip more than 100 miles, as is done in the topline results, but this has been corrected.Please contact Matt Bhagat-Conway [email protected] with any questions.- daily_hh_shopping_travel_by_tract.csv - this contains tract-level estimates of daily shopping travel, for all tracts with more than five households. Note that since shopping travel does not occur every day, some tracts with small sample sizes may exhibit high variance.- distance_by_density.csv - this contains marginal shopping distance, disaggregated by housing unit density (in units/sq. mi.)- distance_by_hhsize.csv - this contains all three shopping distance metrics, disaggregated by household size.- distance_by_income.csv - this contains all three shopping distance metrics, disaggregated by income.- distance_by_number_of_workers.csv - this contains all three shopping distance metrics, disaggregated by number of workers.- distance_by_received_packages.csv - this contains all three shopping metrics, disaggregated by whether the household received packages on the travel day  This work was sponsored by a grant from the Southeastern Transportation Research, Innovation, Development, and Education Center (STRIDE).The Triangle Travel Survey is funded by the Capital Area Metropolitan Planning Organization (MPO), the Durham-Chapel Hill-Carrboro MPO, GoTriangle, and the North Carolina Department of Transportation.