MaaS: Adoption and Use
Learn to evaluate MaaS potential in cities through data collection and analysis methods for sustainable transportation solutions.
Learn to evaluate MaaS potential in cities through data collection and analysis methods for sustainable transportation solutions.
This comprehensive course focuses on evaluating Mobility as a Service (MaaS) potential before implementing pilot projects. Students learn methods for collecting citizen data and analyzing it to determine MaaS service viability, optimal design for adoption, and environmental impact. The course provides insights into assessing whether MaaS can attract sufficient travelers and create sustainable transportation alternatives in urban areas.
Instructors:
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What you'll learn
Evaluate MaaS potential in urban environments
Design effective MaaS service configurations
Analyze citizen data for transportation planning
Assess environmental impact of MaaS implementation
Optimize MaaS adoption rates through service design
Skills you'll gain
This course includes:
41 Minutes PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This course focuses on evaluating the potential of Mobility as a Service (MaaS) in urban environments. Students learn methodologies for data collection and analysis to assess MaaS viability and impact. The curriculum covers service design optimization, adoption rate prediction, and sustainability assessment, providing practical tools for transportation planners and urban mobility professionals.
MaaS: Adoption and Use
Module 1 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Expert in Urban Planning and Transportation Behavior
Professor Soora Rasouli is a full professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e), where she leads the Urban Planning and Transportation group. Her research focuses on developing models that analyze citizens' travel behavior, emphasizing the interplay between demand and supply in transportation systems. She pays particular attention to recent advancements in transport technologies, including electric vehicles (EVs), autonomous driving, and Mobility as a Service (MaaS). By integrating these models into decision support systems, her work aims to assist policymakers in creating sustainable urban environments that align with citizens' needs. Professor Rasouli has a robust academic background, having obtained her PhD at TU/e and previously serving as an assistant professor before her promotion to full professor in 2018. She has published extensively, with over 50 articles and numerous conference papers, and has received several awards for her contributions to the field. Additionally, she is actively involved in various European and national research projects, focusing on enhancing urban mobility and sustainability. Through her innovative research and leadership, Professor Rasouli plays a vital role in shaping the future of urban transportation planning.
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