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During his PhD Karen Valitov aims to design responsible, data-driven mobility solutions that balance user privacy with sustainability goals.

He is investigating travelers' willingness to share personal data in exchange for personal and collective benefits within personalized mobility services. Karen Valitov will conduct a stated-choice experiment to explore it. In addition, Karen鈥檚 work includes an agent-based simulation to evaluate the impact of data-sharing behaviors on both individual and collective outcomes within a multimodal transportation system, using a hypothetical MaaS platform in a Dutch city as the case study.

Advancing responsible mobility through data-driven research, focusing on travel behavior modeling, agent-based simulations, and ethical data sharing to shape sustainable urban mobility systems.

Karen Valitov joined the Built Environment department as a PhD candidate in the Urban Planning and Transportation research group. His main focus is in applying spatial data analysis and travel behavior modeling to tackle urban mobility challenges. In 2024, Karen earned a Research MSc in Urban and Economic Geography from Utrecht University. His thesis focused on how the availability of shared bikes fluctuates throughout the day based on various social, transport, and built environment factors within the city. In addition, he holds Research MSc in Urban Development and Spatial Planning (2019).