Workshop Synthesis: Activity Tracker and Data Enrichment – Connecting Transport and Health

Abstract

The workshop “Activity tracker and data enrichment – connecting transport and health” focused on exploring the potential of the existing embedded/additional sensors (e.g., biometric sensors) and emerging methods (e.g., machine learning, image processing, and walking crowdedness density measurement) to better understand the complexity of travel behavior and its implication to health, urban design, service quality provision and general transport and urban planning issues. The effectiveness and/or performance of the usage of these sensors and analysis methods, compared to more traditional solutions, were also in the scope of the workshop. This paper is a synthesis of discussions regarding benefits and challenges, in both the deployment and analytical processes that were generated during the workshop presentations and discussions.