Logistics clusters, including inter-firm relations through community detection

Authors

  • Joris Beckers University of Antwerp
  • Isabelle Thomas Université catholique de Louvain
  • Thomas Vanoutrive University of Antwerp
  • Ann Verhetsel University of Antwerp

DOI:

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

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Published

2018-04-01

How to Cite

Beckers, J., Thomas, I., Vanoutrive, T., & Verhetsel, A. (2018). Logistics clusters, including inter-firm relations through community detection. European Journal of Transport and Infrastructure Research, 18(2). https://doi.org/10.18757/ejtir.2018.18.2.3229

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Articles