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People-Flows: An Innovative Flow Monitoring and Management System in Urban Environments

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1655))

Abstract

Overtourism is an ongoing problem observed in popular destinations around the world, requiring solutions that will combat congestion and enhance the quality of life for citizens and the quality of experience for visitors. In order to truly resolve the problem, solutions should combine the management of visitor flows through technological support, and also assist policymakers and management bodies in planning ahead. This work proposes a system for monitoring visitor flows and supporting their visit scheduling based on the estimated crowdedness of points of interest. The system comprises a web platform for a priori planning, as well as kiosks to issue tickets and informative screens in points of interest and central points of urban destinations. The proposed system is part of an integrated approach, also featuring a system for administrators of attractions (museums, sights, monuments, etc.) and policymakers.

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Acknowledgments

This work has been conducted in the context of the People-Flows research project (http://www.peopleflows.gr/), and has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH–CREATE–INNOVATE (project code: T1EDK-05210).

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Correspondence to Stavroula Ntoa .

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Kalaitzakis, M. et al. (2022). People-Flows: An Innovative Flow Monitoring and Management System in Urban Environments. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science, vol 1655. Springer, Cham. https://doi.org/10.1007/978-3-031-19682-9_64

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  • DOI: https://doi.org/10.1007/978-3-031-19682-9_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19681-2

  • Online ISBN: 978-3-031-19682-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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