urban-analytics

The repository contains diverse economic and socio-demographic data or Rome retrieved through APIs and scraping.

Implementation of a multi-agent system for the modeling of carpooling in a city with one-way streets. Used Python and the Mesa package for multi-agent modeling.

DashMap is an open source web platform that gathers, analyses and visualises urban data.

Calculate Open Street Maps road length for any polygon

Measures to spatial agglomeration for industries

This repository contains the data and code associated with the paper titled "Facebook City: Place-named groups as urban communication infrastructure in Greater London". This is part of the "Localising Content Governance" project, funded by Facebook Research.

Multi-class classification model for predicting the types of crimes in Toronto

IC QGIS plugin, calculates interface catchment within urban morphologies

AwaP QGIS plugin, enables analysis of permeability within urban morphologies

A Python package for merging GTFS data with OSM street network in NetworkX, facilitating time-dependent analysis of transport networks.

Method for detecting and hierarchically organizing local centers and urban regions.

Visualizes San Diego’s bus network, simulates bus arrivals and passenger wait times, and analyzes how real transit patterns differ from theoretical models.

A machine learning pipeline for classifying building types in urban areas

GeoFeatureKit: From coordinates to geospatial features and travel-time accessibility for ML, urban analytics, and location intelligence.

Urban Vitals is an innovative web application that provides comprehensive environmental and livability assessments for neighborhoods

Intelligent Vehicle Detection, Tracking & Color Classification - Supports 10 vehicle colors with 90%+ accuracy

This repository hosts the DECIDE-DSS prototype, which presents the initial idea for an universally designed outcome-driven decision support system. It incorporate network analysis to other forms of urban analytics in themes such as climate adaptation, disaster-risk management, urbal liveability and management of antisocial behaviours (i.e. crime).

AI-powered civic intelligence backend — urban issue prioritization, data-driven insights, and real-time alerts. Built with FastAPI + Python.

Hex-based spatial aggregation of urban network segments using GeoPandas to compare models

CitySurfaces semantic segmentation of sidewalk surfaces