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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0198169" target="_blank" >RIV/00216305:26210/26:0198169 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/2413-8851/9/5/158" target="_blank" >https://www.mdpi.com/2413-8851/9/5/158</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/urbansci9050158" target="_blank" >10.3390/urbansci9050158</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10500 - Earth and related environmental sciences

Projekt

<a href="/cs/project/SS02030008" target="_blank" >SS02030008: Centrum environmentálního výzkumu: Odpadové a oběhové hospodářství a environmentální bezpečnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Urban Science

ISSN

—

e-ISSN

2413-8851

Svazek periodika

9

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

25

Strana od-do

1-25

Kód UT WoS článku

001496527400001

EID výsledku v databázi Scopus

2-s2.0-105006468424