12th International Conference on Transport Survey Methods
Preliminary Overview Program
Title: Innovation in official statistics – examples from Statistics Netherlands
Bio: Annemieke Luiten is data collection methodologist at Statistics Netherlands. Her research topics include nonresponse, fieldwork, monitoring, adaptive design, mixed mode survey methodology, split questionnaire design and sensor measurement. She was one of the project leaders of the ESSnet DCSS on mixed mode data collection and participated in the second ESSnet on this topic (MIMOD) and in the 2020 ESSnet on Smart Statistics, where she leads work packages on interior design sensors and accelerometers in Health Surveys. Annemieke is the coordinator of the International Workshop on Household Survey Nonresponse.
She has addressed multinational conferences (as an executive and as a Board member) across the world on diverse topics ranging from internal audit, corporate governance, risk management, compliance, women in leadership and the impact of AI and robotics on industries, emerging issues in the financial services industry and the value of key performance indicators. She is also active in many external forums as an ambassador of developing young minds and talent. She actively participates in mentoring circles, panel discussions and networking sessions around the world.
João Paulo Costeira
Title: Computer Vision Technologies and the Citizen: How massive visual sensing will change the way we "see" our selves. What the infrastructure sees, people can feel.
Bio: João Costeira is Associate Professor at IST and researcher of the Instituto de Sistemas e Robotica, where he served he served as deputy president (2014-2016) and coordinates the Signal and Image Processing (SIPg) since 2012. His research interests are in the area of visual recognition and 3D reconstruction from images. Jointly with CMU and IST, he holds a US/China patent request of a vehicle counting system from low resolution images, and was recipient of an unrestricted gift from Adobe Research Inc. in recognition for his contributions in the area. Since 2019 João Costeira integrated the H2020 project AI4EU that aims to create a European AI-on-demand platform and ecosystem, networking researchers companies and institutions at the European level. He is co-leader of the "Physical AI" task, which in cooperation with industry partners will develop AI tools for city-scale scale scenarios focusing on air quality assessment and control.
Sune Lehmann Jorgensen
Title: Approaching human mobility through the lens of digital traces
Bio: Sune Lehmann is a Professor at the Department for Computer Science and Applied Mathematics at the Technical University of Denmark. He is also an adjunct Professor at the Department of Sociology at the University of Copenhagen. He is the associate director of the Copenhagen Center for Social Data Science at the University of Copenhagen. Sune's work focuses on quantitative understanding of social systems based on massive data sets. A physicist by training, his research draws on approaches from the physics of complex systems, machine learning, and statistical analysis. He works on large-scale data sets, but also collects his own high-quality data to understand human communication networks across face-to-face interactions, telecommunication, and online social networks. For example, Sune's group initiated SensibleDTU: a large project which used smartphones to measure the minute-by-minute social interactions and mobility of 1000 freshman students at DTU across 2.5 years. He is the lead author of multiple high impact papers, e.g. Nature Communications 10, 1759 (2019), PNAS 115, 12603 (2018), Nature Human Behaviour 2, 485 (2018), PNAS 113, 9977 (2016), Nature 466, 761 (2010) and Nature 444, 1003 (2006).
1. Commercial trips patterns and demand for goods from firms and households
2. National Travel Surveys –A new era of integrating tradition and technology
3. Public transport: leveraging household survey data and fare collection data
4. Opportunities of sensor data and other big passive data (except smartcard and mobile phone data)
5. Considerations for Effective Quantitative Measurement of Attitudes and Perceptions
6. Stated Preference Survey
7. How to collect longitudinal data? Challenges and practical considerations against the background of the complexity of travel behavior, respondent burden and privacy issues
8. GPS, Smartphone app
9. Mobile phone operator data
10. Mixed modes and Device (laptop, tablet, smartphone) effects
11. Generating More Than a Sum of Parts: Data Fusion
12. Sampling Methods and Participation: Probability vs. Convenience Sampling, Nonresponse and Survey Quality
13. Understanding the decision process: revealing attitudes, motivations, and intentions
14. Sensors and data collection enrichment
15. Integrating Big Data with Travel Surveys to Support Long Distance and Tourism Travel Analyses
16. Virtual reality, visualization and interactivity in survey