Date/Time
Date(s) - 21/04/2026
8:00 am - 9:30 am
Category(ies)
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, April 21st 2026 at 8 – 9:30am (EDT); 2 – 3:30pm (CET)
All are invited to the webinar, organized by the International Association of Survey Statisticians.
Please register for the IASS Webinar at: https://us06web.zoom.us/webinar/register/WN_sTuDN0-DRVO2F4yQdZvsYA#/registration
After registering, you will receive a confirmation email containing information about joining the webinar. There will be time for questions. The webinar will be recorded and made available on the IASS and ISI web site. See below for the abstract and biography of the speakers.
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.
Biography
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 recognized 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.
Dr. Cinzia Cirillo – Civil and Environmental Engineering, University of Maryland. Alan P. Santos photography