Dataset from Zenodo · Millard-Ball, Adam

The width and value of residential streets

License
CC0 1.0commercial use allowedLicense text
This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
Formats
TSV, GPKG, MD, CSV
Size
2.1 GB
Updated
May 18, 2023

Description

This dataset provides street-level information on width and the land value of street rights-of-way for 20 of the largest counties in the United States. Land values are expressed in 2019 prices. It uses OpenStreetMap and tax parcel data as inputs to a GIS-based process. Substantively, residential street rights-of-way in the urbanized portion of these counties average 55 ft wide, far greater than the functional minimum of 16 ft required for access. The land value of residential streets totals $959 billion in the urbanized portion of the 20-county sample. In most counties, subdivision regulations are binding; that is, few developers choose to build streets that are wider than code requirements, implying that softening requirements would mean more land devoted to housing and less to streets.

Description from Zenodo, shortened.

Files (68)

  • TSVosm_metrics_06107.tsv1.7 MB
  • TSVosm_metrics_06019.tsv3.1 MB
  • TSVosm_metrics_06097.tsv2.2 MB
  • GPKGosm_06111.gpkg29 MB
  • GPKGosm_06099.gpkg19 MB
  • TSVosm_metrics_06111.tsv2.1 MB
  • GPKGosm_06075.gpkg9.3 MB
  • TSVosm_metrics_06061.tsv1.9 MB
  • TSVosm_metrics_06075.tsv1.1 MB
  • GPKGosm_06029.gpkg31 MB
  • TSVosm_metrics_06053.tsv1.2 MB
  • TSVosm_metrics_06067.tsv3.7 MB
  • GPKGosm_06013.gpkg36 MB
  • GPKGosm_06067.gpkg53 MB
  • TSVosm_metrics_06013.tsv3.1 MB
  • TSVosm_metrics_06095.tsv1.6 MB
  • TSVosm_metrics_06099.tsv1.8 MB
  • TSVosm_metrics_06077.tsv2.4 MB
  • GPKGosm_06095.gpkg19 MB
  • GPKGosm_06097.gpkg26 MB
  • MDREADME.md1.7 kB
  • GPKGosm_06019.gpkg36 MB
  • GPKGosm_06077.gpkg25 MB
  • GPKGosm_06053.gpkg16 MB
  • GPKGosm_06107.gpkg17 MB
  • GPKGosm_06061.gpkg25 MB
  • TSVosm_metrics_06029.tsv3 MB
  • TSVosm_metrics_06001.tsv4 MB
  • TSVosm_metrics_53033.tsv6.9 MB
  • TSVosm_metrics_48439.tsv6.3 MB
  • TSVosm_metrics_48201.tsv12 MB
  • TSVosm_metrics_06085.tsv5.2 MB
  • TSVosm_metrics_06073.tsv7.6 MB
  • TSVosm_metrics_06071.tsv5.5 MB
  • GPKGosm_06059.gpkg88 MB
  • TSVosm_metrics_06065.tsv5.9 MB
  • GPKGosm_36047.gpkg9.4 MB
  • TSVosm_metrics_06059.tsv8.5 MB
  • GPKGosm_06001.gpkg48 MB
  • GPKGosm_06065.gpkg72 MB
  • GPKGosm_06071.gpkg62 MB
  • GPKGosm_53033.gpkg87 MB
  • GPKGosm_06073.gpkg110 MB
  • GPKGosm_06037.gpkg191 MB
  • GPKGosm_06085.gpkg57 MB
  • GPKGosm_12086.gpkg74 MB
  • GPKGosm_17031.gpkg126 MB
  • TSVosm_metrics_06037.tsv21 MB
  • GPKGosm_25017.gpkg66 MB
  • GPKGosm_27053.gpkg51 MB
  • TSVosm_metrics_04013.tsv19 MB
  • TSVosm_metrics_48113.tsv7.3 MB
  • TSVosm_metrics_48029.tsv4.6 MB
  • GPKGosm_48029.gpkg64 MB
  • GPKGosm_47157.gpkg43 MB
  • TSVosm_metrics_47157.tsv2.9 MB
  • TSVosm_metrics_36081.tsv1.7 MB
  • TSVosm_metrics_36047.tsv1.1 MB
  • GPKGosm_48113.gpkg90 MB
  • GPKGosm_48201.gpkg151 MB
  • TSVosm_metrics_27053.tsv3.8 MB
  • TSVosm_metrics_25017.tsv4.3 MB
  • GPKGosm_48439.gpkg70 MB
  • TSVosm_metrics_17031.tsv11 MB
  • CSVdata_dictionary.csv2.1 kB
  • TSVosm_metrics_12086.tsv5 MB
  • GPKGosm_36081.gpkg16 MB
  • GPKGosm_04013.gpkg198 MB

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