Road Network Visualization

An urban-scale analysis using OSMnx, NetworkX, and Python geospatial libraries

Overview

This project visualizes and compares road network characteristics of major Indian cities using OpenStreetMap data. Tools like OSMnx and NetworkX are used to extract, process, and analyze urban infrastructure metrics such as connectivity, centrality, and edge density.

🧾 Project Details

Organization: Personal Research
Tools Used: OSMnx, NetworkX, Geopandas, Matplotlib
Duration: July 2025 – August 2025

Key Contributions

Downloaded road networks of Delhi, Mumbai, Kolkata, and Chennai using OSMnx.
Calculated and visualized key metrics: node degree, average street length, and edge density.
Used matplotlib and folium to produce interactive static and web visualizations.
Built comparative maps and charts to assess connectivity across cities.

Visuals

Kolkata Network Map

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Delhi Network Map

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Mumbai Network Map

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Chennai Network Map

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Insights

Delhi exhibits a balanced road network with relatively high street and intersection density, reflecting planned urban zones with moderate connectivity.
Mumbai shows a slightly lower density and fewer intersections, likely influenced by geographical constraints like coastlines and elongated development patterns.
Chennai has the highest intersection density after Kolkata, indicating compact urban form, but slightly lower connectivity suggests fragmented development in some zones.
Kolkata shows the highest intersection density with a slightly lower connectivity ratio, suggesting a tightly knit but organically developed network, especially in older core areas.

📦 Download Code

You can download the complete Python source code and Jupyter notebook used in this project below:

⬇️ Download Jupyter Notebook