Location of logistics companies: A stated preference study to disentangle the impact of accessibility

Ann Verhetsel*, Roselinde Kessels, Peter Goos, Toon Zijlstra, Nele Blomme, Jeroen Cant

*Corresponding author for this work

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Due to the globalization and the fragmentation of industrial production processes, the logistics sector, organizing the linkages between different production plants and the market, is growing fast. This results in an increasing demand for suitable new business locations. Previous research has indicated that accessibility is a key factor in the location decision making process. Though the literature on this subject is extensive, little research has been done to quantify the impact of the different dimensions of accessibility on the location decision process of logistics companies. This paper aims to fill this void in the literature by means of a revealed preference study (using a Geographic Information System (GIS) analysis) and a stated preference study (using a designed discrete choice experiment) in Flanders (Belgium). The results of the revealed preference study served as input to the design of the choice situations in the stated preference study. In the stated preference study, the respondents were confronted with a series of choice situations described by means of accessibility variables as well as land rent information. An analysis of the resulting data by means of discrete choice modeling revealed that land rent is the most important factor in the location choice of logistics companies in Flanders. Access to a port is the second most important factor, followed by access to a motorway, the location in a business park and an inland navigation terminal, which are all about equally important. Access to a rail terminal plays no significant role in the location choice of logistics companies in Flanders.
Original languageEnglish
Pages (from-to)110-121
Number of pages12
JournalJournal of Transport Geography
Publication statusPublished - Jan 2015
Externally publishedYes


  • Logistics
  • Accessibility
  • Transport geography
  • Discrete choice modeling
  • Belgium

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