Urban Dynamics Through the Lens of Human Mobility
-
Updated
Jun 3, 2023 - Jupyter Notebook
#
mobile-phone-data
Here are 6 public repositories matching this topic...
Improving Next Location Prediction with Inferred Activity Semantics in Mobile Phone Data
-
Updated
Jun 9, 2026 - Python
Interactive web app for spatiotemporal decomposition, actionable urban-dynamics statistics, and residual-motif discovery from mobile-phone data — companion tool to Silva, Madeira & Henriques (EPB 2024; Pattern Recognition 2026)
urban-planning postgis motif-discovery lisbon plotly-dash timescaledb time-series-decomposition spatiotemporal-analysis matrix-profile explainability urban-dynamics residual-analysis mobile-phone-data
-
Updated
Aug 21, 2026 - Python
This repository stores the required code to replicate the article "Using digital footprint data to monitor human mobility and support rapid humanitarian responses"
migration pakistan flooding human-mobility digital-footprint-data population-displacement mobile-phone-data
-
Updated
Dec 1, 2022 - HTML
This project analyzes urban mobility patterns in Santiago and Helsinki using anonymized digital traces and transport data. The aim is to map daily travel behaviors, identify key locations like home and work areas, and generate insights for smarter city planning.
-
Updated
May 30, 2025
Smart phone comparison and switching advisor — weighs your priorities, budget, and ecosystem trade-offs to tell you whether to upgrade or switch brands.
-
Updated
Aug 22, 2026 - HTML
Add this topic to your repo
To associate your repository with the mobile-phone-data topic, visit your repo's landing page and select "manage topics."