Paper accepted at ARIC @ SigSpatial 2021!

Transfer Learning Approach to Bicycle-sharing Systems’ Station Location Planning Using OpenStreetMap Data

We’re delighted to announce that our submission to the 4th ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities (ARIC) has been accepted! We’ll be presenting a paper on effective geographic transfer learning using OpenStreetMap region features for bike station location predictions.

We’ll be presenting on the workshop day, November 2nd at 10:00 AM local time. You can find our paper at the arxiv website and the conference proceedings. We hope to see you there! Feel free to see the demo of our solution.

Update: transfer learning approaches have been implemented in our Spatial Representations for Artificial Intelligence library - SRAI.