Publication detail
Digital Revolution in Spatial Planning: The Potential of Geolocation Data in Czechia
ŠOMPLÁK, R. JIRASEK, P.
Original Title
Digital Revolution in Spatial Planning: The Potential of Geolocation Data in Czechia
Type
journal article in Web of Science
Language
English
Original 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.
Keywords
population dynamics; typology of municipalities; spatial planning; infrastructure planning; mobile data; big data
Authors
ŠOMPLÁK, R.; JIRASEK, P.
Released
7. 5. 2025
Publisher
MDPI
Location
BASEL
ISBN
2413-8851
Periodical
Urban Science
Year of study
9
Number
5
State
Swiss Confederation
Pages from
1
Pages to
25
Pages count
25
URL
BibTex
@article{BUT198169,
author="Radovan {Šomplák} and Petr {Jirasek}",
title="Digital Revolution in Spatial Planning: The Potential of Geolocation Data in Czechia",
journal="Urban Science",
year="2025",
volume="9",
number="5",
pages="1--25",
doi="10.3390/urbansci9050158",
issn="2413-8851",
url="https://www.mdpi.com/2413-8851/9/5/158"
}