sustainable-mobility

BikeDNA: Bicycle Infrastructure Data & Network Assessment

The Arrogance of Space Mapping Tool

Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap

MoveWise is a behavior-aware MaaS optimization platform that uses Double DQN reinforcement learning, generalized cost modeling, and personalized nudges to shift users from car dependency to sustainable multimodal travel. It includes a Python/PyTorch RL engine, FastAPI backend, and React frontend with live route, nudge, and carbon-impact intelligenc

Code for analyzing the results from running BikeDNA BIG (https://github.com/anerv/BikeDNA_BIG) on bicycle infrastructure data from Denmark.

Code repository for creating a routable bicycle network from OSM data for all of Denmark classified into levels of traffic stress.

AI-based traffic density detection and emergency vehicle prioritization

Some analysis from the outcome of the MoTMo agent-based model

Code repository for the Sustainable Access to Sports and Outdoors project, extending the Mistra Sport and Outdoors programme. It focuses on measuring and visualizing accessibility to sports and outdoor activity locations across Sweden.

Transparent scenario-based policy evaluation for transport CO2, fuel costs, carbon pricing, subsidies and marginal abatement costs.

Nature-inspired computing project focused on multi-objective route optimization using evolutionary algorithms, NSGA-II, GTFS and OpenStreetMap data.

Dataset limpio de vehículos eléctricos en Washington (2011–2025)

Exploratory data analysis of historical U.S. EPA automotive trends (1975–2024) examining vehicle weight, horsepower, fuel efficiency, and CO2 emissions using Python and Tableau.

Spatial simulation of bicycle adoption to assess mobility, energy and climate impacts.

EV Growth Dashboard / EMobility Chamber of Panama (CAMEPA)

This repository has all the codes that I write for urban mobility

Vehicle Trajectories Analyzer / Penn State University

Optimize flight search costs with 8 AI skills for travelers and teams, cutting airfare spend by 30–66% for personal trips and 10–15% for business trips