A protocol to convert spatial polyline data to network formats and applications to world urban road networks

The study of geographical systems as graphs, and networks has gained significant momentum in the academic literature as these systems possess measurable and relevant network properties. Crowd-based sources of data such as OpenStreetMaps (OSM) have created a wealth of worldwide geographic information including on transportation systems (e.g., road networks). In this work, we offer a Geographic Information Systems (GIS) protocol to transfer polyline data into a workable network format in the form of; a node layer, an edge layer, and a list of nodes/edges with relevant geographic information (e.g., length). Moreover, we have developed an ArcGIS tool to perform this protocol on OSM data, which we have applied to 80 urban areas in the world and made the results freely available. The tool accounts for crossover roads such as ramps and bridges. A separate tool is also made available for planar data and can be applied to any line features in ArcGIS. Design Type(s) data integration objective • observation design Measurement Type(s) network graph construction Technology Type(s) digital curation Factor Type(s) Sample Characteristic(s) Tokyo • Jakarta • Seoul • Delhi • Shanghai Proper • City of Manila • Karachi • New York City • Sao Paulo • Beijng Proper • Mumbai • Guangzhou City Prefecture • Moscow Federal City • City of Los Angeles • Kolkata • Dhaka • Buenos Aires • Istanbul • Rio de Janeiro • Shenzhen City Prefecture • Commune of Paris • Lima • City of Chicago • Tianjin Proper • Chennai • Bogota • Bangalore • London • Taipei City • Ho Chi Minh City • Dongguan City Prefecture • Hyderabad • Chengdu City Prefecture • Lahore • Johannesburg • Tehran • Bangkok • Wuhan • Ahmedabad • Chongqing Proper • Baghdad • Hangzhou City Prefecture • Province of Santiago de Chile • City of Fort Worth • City of San Francisco • Quanzhou City Prefecture • City of Miami • Shenyang City Prefecture • Belo Horizonte • City of Philadelphia • Nanjing City Prefecture • Madrid • City of Houston • Xianyang City Prefecture • Milan • Pune • Saint Petersburg • City of Atlanta • Surat • City of Washington • Bandung • Municipality of Surabaya • Harbin City Prefecture • City of Boston • Zhengzhou City Prefecture • Qingdao City Prefecture • Abidjan • Barcelona • Ankara • Suzhou City Prefecture • City of Phoenix • Salvador • Municipality of Porto Alegre • Roma • Recife • Province of Naples • City of Detroit • Dalian City Prefecture • Fuzhou City Prefecture • Medellin Metropolitan Area • city Design Type(s) data integration objective • observation design Measurement Type(s) network graph construction Technology Type(s) digital curation Factor Type(s) Sample Characteristic(s) Tokyo • Jakarta • Seoul • Delhi • Shanghai Proper • City of Manila • Karachi • New York City • Sao Paulo • Beijng Proper • Mumbai • Guangzhou City Prefecture • Moscow Federal City • City of Los Angeles • Kolkata • Dhaka • Buenos Aires • Istanbul • Rio de Janeiro • Shenzhen City Prefecture • Commune of Paris • Lima • City of Chicago • Tianjin Proper • Chennai • Bogota • Bangalore • London • Taipei City • Ho Chi Minh City • Dongguan City Prefecture • Hyderabad • Chengdu City Prefecture • Lahore • Johannesburg • Tehran • Bangkok • Wuhan • Ahmedabad • Chongqing Proper • Baghdad • Hangzhou City Prefecture • Province of Santiago de Chile • City of Fort Worth • City of San Francisco • Quanzhou City Prefecture • City of Miami • Shenyang City Prefecture • Belo Horizonte • City of Philadelphia • Nanjing City Prefecture • Madrid • City of Houston • Xianyang City Prefecture • Milan • Pune • Saint Petersburg • City of Atlanta • Surat • City of Washington • Bandung • Municipality of Surabaya • Harbin City Prefecture • City of Boston • Zhengzhou City Prefecture • Qingdao City Prefecture • Abidjan • Barcelona • Ankara • Suzhou City Prefecture • City of Phoenix • Salvador • Municipality of Porto Alegre • Roma • Recife • Province of Naples • City of Detroit • Dalian City Prefecture • Fuzhou City Prefecture • Medellin Metropolitan Area • city Machine-accessible metadata file describing the reported data (ISA-Tab format)