21 Apr 2026

IASS - How We Travel: Insights from Household Travel Surveys and Digital Twin Modeling

Datum 21 Apr 2026
Tijd 14:00 CEST - 15:30 CEST
Level of instruction
Instructor
Cinzia Cirillo
Registration fee

View the recording

 

Speaker:  Ms. Cinzia Cirillo

Professor at the University of Maryland (USA) and Director of the U.S. Department of Transportation’s Center for MultiModal Mobility (CMMM)

Tuesday, 21 April 2026 at 8 – 9:30am (EDT); 2 – 3:30pm (CEST)

Webinar Abstract

The talk will present the main features of Household Travel Surveys and explain why they are essential for understanding people’s mobility. Trends in personal and household travel will be described, including trip purpose, mode choice, temporal patterns, and socio-demographic characteristics. These statistics are derived from a survey recently conducted in the Dubai metropolitan area.

The use of the data will be demonstrated through two case studies: the first examines the influence of parcel delivery on transportation indicators, and the second focuses on the estimation of the Value of Travel Time Savings, a key parameter in project appraisal.

Finally, the presentation will discuss how these data are used to build a digital twin that microsimulates travel behavior and transportation system dynamics.

 

Instructors

Cinzia-Cirillo
Instructor
Cinzia Cirillo

About the instructor

Cinzia Cirillo is a Professor at the University of Maryland (USA) and Director of the U.S. Department of Transportation’s Center for MultiModal Mobility (CMMM).

Dr. Cirillo is an internationally recognised expert in discrete choice analysis, travel demand modeling, and survey methodologies, including national household travel surveys and stated preference (SP) methods. Her work encompasses large-scale model systems and activity-based modeling

Her research is highly multidisciplinary, involving collaborations with mathematicians, statisticians, survey methodologists, operations researchers, and economists. Recently, she has focused on big data analytics, data linkage for small-area transportation statistics, and population synthesis.