
What's going on with DAVeMoS

February 5, 2026
The Relationship between E-Shopping and Goods Delivery via Transport SuperApps and Daily Time Use
This study explores how e-shopping and good delivery services shaped individual time allocation across various activities and locations. The study employs a one-week time-use and app-use diary from four Indonesian cities. The paper can be found in here.

January 16, 2026
Understanding the physiological stress of e-scooter riders in a shared bike lane
This research investigates the physiological stress of e-scooter riders using virtual reality to simulate dynamic traffic conditions on a shared bike lane in Vienna. It provides insights into factors shaping e-scooter riders’ physiological responses provide evidence for analyzing accidents and risky behaviors from a psychophysiological perspective and may guide the development of interventions to enhance e-scooter comfort, safety and integration in shared road. The paper can be found in here.

January 29-30, 2026
Mobility and Time-Use Workshop in Dresden
Prof Susilo was invited to participate at an AgiMo workshop at TU Dresden which focuses on mobility and time-use survey. In this workshop Prof. Susilo presented his previous experience on collecting a cross-dimensional physical and virtual time and app use diaries.

January 12, 2026
New Year, New Responsibility
With the start of the new year, Prof. Susilo will start his role as the new chair of the International Association of Travel Behaviour Research (IATBR), for period 2026 and 2027. From this January, Prof. Susilo also will serve as the Associate Editor of Transportation Research part A.

January 28, 2026
An exploration of the applicability of information processing theories in road hazard perception context using e-scooter simulator in augmented virtuality scenarios
This paper aims to provide a cognitive perspective on the hazard perception process in the traffic situation based on the conceptual frameworks of two complementary theories of brain information processing, namely, Signal Detection Theory and Predictive Coding Theory. The study uses an augmented virtuality scenario encompassing a simplified traffic situation, where participants are faced with hazard cues characterised by a different degree of predictability. The work can be found in here.
