Related Experiment Video
Updated: Jan 15, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Urban mobility insights: A dataset for exploring network topology and city dynamics
D D Herrera-Acevedo1, D Sierra-Porta2
1Universidad Tecnológica de Bolívar, Facultad de Ingeniería, Parque Industrial y Tecnológico Carlos Vélez Pombo Km 1 Vía Turbaco, Cartagena de Indias, Bolívar 130010, Colombia.
None:
This article presents a comprehensive dataset capturing the urban network structures and sociodemographic variables of 65 cities worldwide for the year 2023, based on the Urban Mobility Readiness Index (UMRi) developed by the Oliver Wyman Forum. The dataset includes key metrics such as graph entropy, node degree, clustering coefficient, graph diameter, GDP per capita, and population density, among others, which are essential for analysing the relationship between network topology and urban mobility readiness. By offering detailed insights into these urban networks, this dataset serves as a valuable resource for cities not currently included in major mobility rankings, allowing them to evaluate their mobility readiness in relation to established indices like the UMRi. Urban planners and researchers can leverage this data to explore complex urban mobility dynamics and develop strategies to enhance transportation systems, particularly in rapidly growing or underserved regions. The dataset is structured for seamless integration with various analytical tools, making it a vital asset for both urban planning and research aimed at fostering sustainable and efficient urban development.
Related Concept Videos
Levels of Use of a GIS
Selected Data About Geographic Locations
Manipulation and Analysis
Methods of Obtaining Topography
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
GIS Software, Hardware, and Sources of GIS Data

