Premium
Urban subcentres in German city regions: Identification, understanding, comparison
Author(s) -
Krehl Angelika
Publication year - 2018
Publication title -
papers in regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.937
H-Index - 64
eISSN - 1435-5957
pISSN - 1056-8190
DOI - 10.1111/pirs.12235
Subject(s) - german , identification (biology) , relevance (law) , regional science , econometrics , geography , computer science , political science , mathematics , archaeology , botany , biology , law
Whereas many studies exist regarding urban subcentre identification, systematic analyses of these methods' characteristics are scarce. This paper addresses and reflects these issues for one selected method, the locally weighted regression (LWR) approach. Methodologically the study concludes that no ‘one size fits all’ method exists, but that the LWR is a sensitive means to identify urban subcentres. Content‐wise the study finds that German city regions are fairly monocentric, as all identified subcentres are of local relevance only. Comparisons to the urban spatial structure in US metro areas, to which the same LWR is applied, however, prove to be fairly complicated.