Urban Highways & City Life
Cross-City Comparative Analysis
A comparative study of 5 European cities, analyzing the socioeconomic and structural impacts of urban infrastructure using computer vision.
Keywords:Infrastructure, Socioeconomic Analysis, Comparative Study
Role:Data Analyst & Researcher
Team:Individual
Technique:Python, DPT Model, NLP, Google Maps API
Date:2025.08
Decoding the structural impact of highways on European urban fabric through data lenses.
A comprehensive analysis of 3,000+ street view images per city across Paris, London, Marseille, Brussels, and Milan. The project utilizes DPT segmentation and NLP analysis of local news/social media to quantify the impact of urban highways. It visualizes the correlation between infrastructure, public sentiment, and socioeconomic indicators like housing prices and crime rates.
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