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Lunch & Learn: BIG data on MICRO mobility

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Online
Arranged by: 
Drive Sweden

While shared micro-mobility systems (SMS) have been broadly adopted in the EU and worldwide, the “actual” performance of current SMS in terms of environmental efficiency and impact on different user groups, as well as how to effectively manage SMS towards sustainability goals, remains to be investigated.

Urban Mobility Systems group at Chalmers in a Drive Sweden project has developed a data-driven and scalable analysis framework to assess the performance of SMS in terms of system and user benefits based on big data. An analysis about shared e-scooter sharing covering over 100 EU cities has been done to provide big-data and quantitative insights about performances of SMS in different EU cities with practical insights. 

More importantly, a digital dashboard containing new academic methodologies is developed to provide relevant stakeholders (e.g., urban authorities and operators) a user-friendly tool for analysis, planning and management improvement of SMS in different urban contexts based on their own data. Relevant stakeholders can utilize the digital tool for their own empirical analysis flexibly. The project aims at improving the performance (environmental effects and efficiency) of SMS in different contexts and adapting SMS as a flexible, efficient and sustainable supplement in multimodal and inclusive transport systems for diverse user groups.

Relevant stakeholders are welcome to utilize the outcomes in practice and provide suggestions for introducing new modules/functions in the digital tools according to real needs in Sweden. We aim to foster dialogue and collaboration among relevant stakeholders to combine latest research and real-world utilization. We look forward to your participation and insights!

Speakers

Kun Gao, Chalmers University of Technology

Karin Ryberg, Västtraffik 

Tina Ghasemi Liljekvist, Voi

Moderator: Malin Andersson, Drive Sweden

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Read more about the project

Digitala verktyg för hållbar planering och hantering av delad mikromobilitet med hjälp av Big Data

Digital solutions for sustainable planning and management of shared micromobility using Big Data

This project establishes a complementary and interdisciplinary team to collectively propose big data assessment methods, conduct empirical analysis, and develop effective SMS management instruments...