Tabulated statistics of road networks at the level of intersections and for built-up areas for each decade from 1900 to 2010, and for 2015, for each core-based statistical area (CBSA, i.e., metropolitan and micropolitan statistical area) in the conterminous United States. These areas are derived from historical road networks developed by Johannes Uhl. See Burghardt et al. (2022) for details on the data processing.

Spatial coverage: all CBSAs that are covered by the HISDAC-US historical settlement layers.

This dataset includes around 2,700 U.S. counties. In the remaining counties, construction year coverage in the underlying ZTRAX data (Zillow Transaction and Assessment Dataset) is low. See Uhl et al. (2021) for details.

All data created by Keith A. Burghardt, USC Information Sciences Institute, USA

Codebook: these CBSA statistics are stratified by degree of aggregation.

- CBSA_stats_diffFrom1950: Change in CBSA-aggregated patch statistics between 1950 and 2015

- CBSA_stats_by_decade: CBSA-aggregated patch statistics for each decade from 1900-2010 plus 2015

- CBSA_stats_by_decade: CBSA-aggregated cumulative patch statistics for each decade from 1900-2010 plus 2015. All roads created up to a given decade are used for calculating statistics.

- Patch_stats_by_decade: Individual patch statistics for each decade from 1900-2010 plus 2015

- Patch_stats_by_decade: Individual cumulative patch statistics for each decade from 1900-2010 plus 2015. All roads created up to a given decade are used for calculating statistics.

The statistics are the following:

• msaid: CBSA code
• id: (if patch statistics) arbitrary int unique to each patch within the CBSA that year
• year: year of statistics
• pop: population within all CBSA counties
• patch_bupr: built up property records (BUPR) within a patch (or sum of patches within CBSA)
• patch_bupl: built up property l (BUPL) within a patch (or sum of patches within CBSA)
• patch_bua: built up area (BUA) within a patch (or sum of patches within CBSA)
• all_bupr: Same as above but for all data in 2015 regardless of whether properties were in patches
• all_bupl: Same as above but for all data in 2015 regardless of whether properties were in patches
• all_bua: Same as above but for all data in 2015 regardless of whether properties were in patches
• num_nodes: number of nodes (intersections)
• num_edges: number of edges (roads between intersections)
• distance: total road length in km
• k_mean: mean number of undirected roads per intersection
• k1: fraction of nodes with degree 1
• k4plus: fraction of nodes with degree 4+
• bearing: histogram of different bearings between intersections
• entropy: entropy of bearing histogram
• mean_local_gridness: Griddedness used in text
• mean_local_gridness_max: Same as griddedness used in text but assumes we can have up to 3 quadrilaterals for degree 3 (maximum possible, although intersections will not necessarily create right angles)

Code available at https://github.com/johannesuhl/USRoadNetworkEvolution.

References:

Burghardt, K., Uhl, J., Lerman, K., & Leyk, S. (2022). Road Network Evolution in the Urban and Rural United States Since 1900. Computers, Environment and Urban Systems.