Publication
Title
Logistics clusters, including inter-firm relations through community detection
Author
Abstract
This paper studies clusters in the logistics sector. Like traditional cluster research, indicators of concentration to detect co-location of employment are calculated. However, this approach is enhanced by including a quantitative analysis of the inter-firm relations between logistics companies through the use of a community detection algorithm on a microeconomic dataset of buyer-supplier relations. Combining both results in a typology of logistics clusters. Next to the big clusters characterized by employment concentration and many internal and external relations, spill-over and polycentric clusters are identified. This approach seems promising to detect in future research clusters in other sectors and places.
Language
English
Source (journal)
European journal of transport and infrastructure research. - Delft
Publication
Delft : 2018
ISSN
1567-7141
Volume/pages
18 :2 (2018) , p. 178-195
ISI
000430187500003
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 17.04.2018
Last edited 20.09.2021
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