Logistics clusters, including inter-firm relations through community detection

  • Joris Beckers University of Antwerp
  • Isabelle Thomas Université catholique de Louvain
  • Thomas Vanoutrive University of Antwerp
  • Ann Verhetsel University of Antwerp
https://doi.org/10.18757/ejtir.2018.18.2.3229

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

How to Cite
BECKERS, Joris et al. Logistics clusters, including inter-firm relations through community detection. European Journal of Transport and Infrastructure Research, [S.l.], v. 18, n. 2, apr. 2018. ISSN 1567-7141. Available at: <https://journals.open.tudelft.nl/ejtir/article/view/3229>. Date accessed: 19 jan. 2021. doi: https://doi.org/10.18757/ejtir.2018.18.2.3229.
Citation Formats
Published
2018-04-01
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