LogiNets: Extracting Logistics Network Flows from Mobile Phone Geolocations for Strategic Planning
Research Project, 2025

For planning efficient and sustainable future transport systems one must consider all transport related flows within a given territory, including the flows of goods. However, logistics operations data is largely in the hands of private actors and it becomes extremely hard to create general logistics models to represent logistics network flows for strategic transport planning. The aim of this project is to construct large-scale logistics networks, representing the freight flows between logistics facilities across a large territory, with high spatial and temporal resolution, using general purpose mobile phone geolocation data. By employing an urban analytics approach, the researchers will develop the computational methods to process big mobile geolocation data and extract the OD matrices of freight flows between logistics facilities, demonstrated in two case studies. The resulting logistics networks and freight flow data will provide a model to advance the study of logistic operations at multiple scales. Furthermore, they offer the opportunity to place logistics on the table of urban and transport planners alongside the existing data and models for the flows of people, supporting a more holistic understanding and the integrated planning of the transport system.

Participants

Jorge Gil (contact)

Chalmers, Architecture and Civil Engineering, Urban Design and Planning

Flávia Lopes

Chalmers, Architecture and Civil Engineering, Urban Design and Planning

Violeta Roso

Chalmers, Technology Management and Economics, Supply and Operations Management 00

Roos Teeuwen

Chalmers, Architecture and Civil Engineering, Urban Design and Planning

Funding

Chalmers

Project ID: SOT C 2025-0026-09 FTS
Funding Chalmers participation during 2025

Related Areas of Advance and Infrastructure

Sustainable development

Driving Forces

Transport

Areas of Advance

More information

Latest update

4/17/2025