Comparison of two network-theory-based methods for detecting functional regions

Samo Drobne (Author), Alberto Garre (Author), Eloy Hontoria (Author), Miha Konjar (Author)

Abstract

Background: Functional regions are abstract, uniformly defined territorial units that form an important basis for many development strategies of a country or a region. Objectives: This study analyses the application of network theory to the detection of such regions. Methods/Approach: Functional regions are analysed using two methods based on the graph theory: the Walktrap algorithm and the chain approach. The quality of the two regionalization methods is analysed using the fuzzy set theory with the revised method. Slovenia was used as a case study. Results: The Walktrap algorithm generated eight functional regions; seven of them corresponded to those identified in previous studies. The only difference occurred in the northwestern mountainous part of Slovenia. The chain approach led to similar results, although it resulted in a huge functional urban region of the capital Ljubljana. Conclusions: The results show that the Walktrap algorithm calculates regions that are more closed, where more workers find work in the home region, than the chain approach.

Keywords

funkcionalna regionalizacija;grafi;algoritem Walktrap;metoda verig;mehke množice;Slovenija;functional regionalisation;graphs;Walktrap algorithm;chain method;fuzzy sets;Slovenia;

Data

Language:	English
Year of publishing:	2020
Typology:	1.01 - Original Scientific Article
Organization:	UL FGG - Faculty of Civil and Geodetic Engineering
UDC:	519.8
COBISS:	36617731
ISSN:	1847-9375
Views:	486
Downloads:	81
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	funkcionalna regionalizacija;grafi;algoritem Walktrap;metoda verig;mehke množice;Slovenija;
Type (COBISS):	Article
Pages:	str. 21-35
Volume:	ǂVol. ǂ11
Issue:	ǂNo. ǂ2
Chronology:	2020
DOI:	10.2478/bsrj-2020-0013
ID:	12612146