Projects

Funding: Region Stockholm  ·  2026–2027

SANSETS: Advancing Night-time Accessibility through Smarter Transport Solutions

This project focuses on designing and evaluating targeted solutions for night-time accessibility, such as extended service operations, on-demand services, and partnerships with ride-hailing companies. The project analyzes how such solutions perform in terms of accessibility, cost-effectiveness, and distributional impacts, with particular attention to geographic variations across different suburban areas selected as case studies.

Funding: Energimyndigheten (Sweden’s Energy Agency), led by Linköping University  ·  2024–2027

SPARA: Spatiotemporal Distribution Flexibility for Resource-Efficient Last-Mile Logistics

This project aims to enhance resource efficiency and reduce climate impact in urban last-mile deliveries. Addressing both B2B and B2C deliveries, the project identifies and evaluates strategies to make last-mile distribution more sustainable through spatiotemporal delivery flexibility — flexibility in both delivery time and location. By leveraging machine learning, the project optimizes routes and consolidates deliveries to improve transport efficiency.

Funding: Vinnova (Sweden’s Innovation Agency)  ·  2024–2025

WAlking and PArking Dynamics of Drivers (WAPADD): Analysis and Model Development for Sustainable Urban Delivery

This project addresses delivery drivers’ walking and parking behaviors in urban logistics — aspects that are critical yet often overlooked. With 80% of a delivery driver’s time spent outside the vehicle during the last leg of delivery, understanding these dynamics is pivotal for sustainable urban delivery routes. KTH Royal Institute of Technology and the University of Washington collaborated on this challenge, with support from UPS and Widriksson Logistik, as well as input from Seattle and Stockholm planning agencies.

Funding: Trafikverket (Swedish Transport Administration)  ·  2023–2025

Congestion Pricing of the Future: Investigating and Harnessing the Effects of Shared Autonomous Vehicles

This project investigated congestion pricing in future Swedish mobility scenarios involving shared autonomous vehicles (SAVs). Introducing SAVs will alter transportation systems in terms of travel costs, traffic operations, and travel behavior, ultimately affecting congestion, safety, air pollution, and accessibility. The project used an agent-based activity-based model to investigate various congestion pricing strategies — cordon-based, area-based, and distance-based tolls — in potential SAV scenarios for two Swedish regions: Stockholm and Umeå.

Funding: Digital Futures  ·  2023–2025

Investigating Sidewalks’ Mobility and Improving it with Robots (ISMIR)

A crucial task of the project focused on integrating prediction models with routing algorithms to discover more effective routing solutions, and identifying Walkability KPIs to describe sidewalk mobility conditions based on collected data. Based on empirical data from sidewalk robots’ trips, the project shed light on sidewalk mobility and improved real-world robot delivery operations. Through statistical analysis and machine learning, the project assessed the efficiency of robots’ paths in relation to pedestrian infrastructure, interactions with different transport users, and other variables such as weather conditions.