Exploring Urban Street Networks Through Graph Metrics

Last Updated on March 4, 2026 by Editorial Team Author(s): Ahmed Boulahia Originally published on Towards AI. Why is Tunis traffic so bad? Urban Planning Analysis of Tunis Traffic Congestion, A Geospatial Study using Python OSMnx and OpenStreetMap to Analyze Street Connectivity, Road Network Entropy, and Infrastructure Bottlenecks. If you live in Tunis, your day likely begins and ends with the same conversation: the traffic. Tunis Macro Pressure MapThe article explores traffic congestion in Tunis using a geospatial analysis to reveal how urban street networks impact traffic flow. Through various metrics, the author examines connectivity and entropy in the city’s road systems, emphasizing that the unique geometric configuration of Tunis contributes significantly to its notorious traffic issues. By analyzing the urban layout and proposing enhancements for connectivity, the author ultimately advocates for a more efficient urban design that can alleviate congestion and improve mobility in the city. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI