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time
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Site Street Networks for Cases from Pre-Industrial Afro-Eurasia

Authors:
|
Jack Hanson
|
Formats
csv, other
Nodes
-
Edges
-
Years
-2000–1800
Access:
|
Added:
2025-12-01
Site Street Networks for Cases from Pre-Industrial Afro-Eurasia

"Cities and towns have often developed infrastructure that enabled a variety of socio-economic interactions. Street networks within these urban settings provide key access to resources, neighborhoods, and cultural facilities. Studies on settlement…

Tags
cities
•
roads
•
street
Modern Countries and Continents
Africa
•
Asia
•
Europe
Structure
Directionality
undirected
Weighted
no
Hypergraph
no
Longitudinal
no
Multigraph
no
Multilayer
yes
Multipartile
-
Probabilistic
no
Self Loops
no
Signed
no
Spatial
yes
Data Url
https://rdr.ucl.ac.uk/articles/dataset/The_structure_centrality_and_scale_of_urban_street_networks_Cases_from_Pre-Industrial_Afro-Eurasia_Supplementary_Material/15191601?file=30397572
Canonical Citation
Altaweel, Mark; Hanson, John; Squitieri, Andrea (2021). The structure, centrality, and scale of urban street networks: Cases from Pre-Industrial Afro-Eurasia: Supplementary Material. University College London. Dataset. https://doi.org/10.5522/04/15191601.v1
License
Creative Commons Attribution 4.0 International
Funding
The Center of Advanced Studies-Schwerpunkt (Siedlungen zwischen Diversität und Homogenität) from the University of Munich (LMU) provided funding for this effort.
Related Publications
Altaweel M, Hanson J, Squitieri A (2021) The structure, centrality, and scale of urban street networks: Cases from Pre-Industrial Afro-Eurasia. PLoS ONE 16(11): e0259680. https://doi.org/10.1371/journal.pone.0259680
Network Topics
city
•
roads
•
streets
Node Topics
junction
•
site
Edge Topics
centrality
Node Attributes
latitude
•
longitude
Edge Attributes
-
Uncertainties
Nodes
-
Edges
-
Node Attributes
-
Edge Attributes
-
Statistics
Avg. Clustering Coefficient
-
Avg. Degree
-
Construction

Data: The subfolders contain the shapefile data for site street networks. Each subfolder represents a site analysed or where data were gathered. The subfolders also contain network centrality output and other network data; the nodeCentrality.csv file in the output subfolder is the file that contains centrality outputs used in the analysis for each site.

centrality_results_median.csv: The file contains centrality results for different urban places collected. Data indicate: the urban name, area, number of nodes (No. Nodes), node density (No. Nodes/Area), different median centrality measures (e.g., betweenness, closeness, etc.), period streets date to, the street period, which is a simplified indication for the main period the street likely dates to, Gini coefficient values that show disparity within centrality values, type of cities (orthogonal, organic, or hybrid (i.e. mixed), region where the data are from, and how complete the data are (complete, mostly complete, or partially complete). References are provided for sources where data are provided. Additionally, a Global Efficiency, which measures how well nodes communicate or connect in a network (Porta et al. 2006), metric is given as a measure for overall centrality, although the values are not used in the research paper’s analysis.

Locations: This folder provides the shapefile locations of the urban data used.

StreetCentrality.zip: This is the Python (3.6) project used to conduct the network analysis. The code is provided along with information on running the code and analysis conducted.

Sources

Yale University

Source Types
map
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