Digital Revolution in Spatial Planning: The Potential of Geolocation Data in Czechia

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Date
2025-05-07
Authors
Jirasek, Petr
Šomplák, Radovan
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
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Abstract
This article analyzes population movement patterns in the Vyso & ccaron;ina Region, Czechia, using mobile network geolocation data. Geolocation data provide new insights into population movement and structure, capturing real-time fluctuations in population size at different times of day and days of the week. The article aims to contribute to a better understanding of spatiotemporal population dynamics and identify links between movement patterns and different types of areas. Key mobility trends, such as work commuting, seasonal migration related to second homes and tourism, and the influence of urbanization on movement patterns, are identified. A scaling approach for categorizing municipalities based on their characteristics is proposed and tested in a case study of Vyso & ccaron;ina Region municipalities. Furthermore, a case study of various municipality types demonstrates the practical application of geolocation data in spatial planning. The results highlight the value of these data for spatial planning, enabling a better understanding of population needs and optimization of public services and infrastructure.
Description
Citation
Urban Science. 2025, vol. 9, issue 5, p. 1-25.
https://www.mdpi.com/2413-8851/9/5/158
Document type
Peer-reviewed
Document version
Published version
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Language of document
en
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Date of acceptance
Defence
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Document licence
Creative Commons Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
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