J
2016
The use of migration data to define functional regions: The case of the Czech Republic
HALÁS, Marián, Pavel KLAPKA and Petr TONEV
Basic information
Original name
The use of migration data to define functional regions: The case of the Czech Republic
Authors
HALÁS, Marián (203 Czech Republic, guarantor), Pavel KLAPKA (203 Czech Republic) and
Petr TONEV (203 Czech Republic, belonging to the institution)
Edition
Applied Geography, Elsevier Ltd. 2016, 0143-6228
Other information
Type of outcome
Článek v odborném periodiku
Field of Study
50702 Urban studies
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 2.687
RIV identification code
RIV/00216224:14560/16:00088326
Organization unit
Faculty of Economics and Administration
Keywords in English
Intrastate migration flows; Regional taxonomy; Functional regions; Functional regionalisation; Daily spatial systems; Local migration areas; Czech Republic
Tags
International impact, Reviewed
V originále
The paper analyses migration flows with the purpose of defining functional regions at a micro level. It proposes an innovative approach to the processing of migration data. It includes a reflection on local level migration analysis in relation to local labour markets, and it is inspired by time geographical concepts and research into human spatial behaviour. Relevant identified migration flows are those that occur when a migrant only changes the place of permanent residence, and does not necessarily need to change workplace or most of the localities within a daily timespace context. The paper uses these migration data to delineate local migration areas (daily spatial systems) of the Czech Republic through the application of a standard rule-based procedure of functional regional taxonomy.
Links
GA16-13502S, research and development project | Name: Prostorová neurčitost a fuzzy regionální systémy: identifikace, analýza a implikace pulsujících funkčních regionů | Investor: Czech Science Foundation |
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Displayed: 19/11/2024 17:21