Location of logistics companies: A stated preference study to disentangle the impact of accessibility
Due to the globalization and the fragmentation of industrial production processes, the logistics sector, which organizes 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 this 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 revealed that land rent is the most important factor in the location choice of logistics companies in Flanders. Access to a port is the one but most important factor, followed by access to a motorway and an inland navigation terminal, and the location in a business park. Finally access to a rail terminal plays no significant role in the location choice of logistics companies in Flanders.
|Date of creation:||Oct 2013|
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- Markus Hesse, 2004. "Land For Logistics: Locational Dynamics, Real Estate Markets And Political Regulation Of Regional Distribution Complexes," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 95(2), pages 162-173, 04.
- Fujita, Masahisa & Ogawa, Hideaki, 1982. "Multiple equilibria and structural transition of non-monocentric urban configurations," Regional Science and Urban Economics, Elsevier, vol. 12(2), pages 161-196, May.
- Kessels, Roselinde & Goos, Peter & Vandebroek, Martina, 2008. "Optimal designs for conjoint experiments," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2369-2387, January.
- Isabelle Thomas & Jean-Pierre Hermia & Thierry Vanelslander & Ann Verhetsel, 2003. "Accessibility to freight transport networks in Belgium: a geographical approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 94(4), pages 424-438, 09.
- Jose Vassallo & Mark Fagan, 2007. "Nature or nurture: why do railroads carry greater freight share in the United States than in Europe?," Transportation, Springer, vol. 34(2), pages 177-193, March.
- Button, Kenneth J. & Lietham, Scott & McQuaid, Ronald W. & Nelson, John D., 1995. "Transport and Industrial and Commercial Location," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 29(2), pages 189-206, May.
- Leitham, Scott & McQuaid, Ronald W. & D. Nelson, John, 2000. "The influence of transport on industrial location choice: a stated preference experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(7), pages 515-535, September.
- Fujita,Masahisa, 1991.
"Urban Economic Theory,"
Cambridge University Press, number 9780521396455, June.
- Raul Livas Elizondo & Paul Krugman, 1992.
"Trade Policy and the Third World Metropolis,"
NBER Working Papers
4238, National Bureau of Economic Research, Inc.
- Simona Bolis & Rico Maggi, 2003. "Logistics Strategy and Transport Service Choices: An Adaptive Stated Preference Experiment," Growth and Change, Wiley Blackwell, vol. 34(4), pages 490-504.
- KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Applied Economics.
- Peter Hall & Markus Hesse & Jean-Paul Rodrigue, 2006. "Reexploring the interface between economic and transport geography," Environment and Planning A, Pion Ltd, London, vol. 38(8), pages 1401-1408, August.
- Guido Vonk & Stan Geertman & Paul Schot, 2005. "Bottlenecks blocking widespread usage of planning support systems," Environment and Planning A, Pion Ltd, London, vol. 37(5), pages 909-924, May.
- Dietrich Earnhart, 2001. "Combining Revealed and Stated Preference Methods to Value Environmental Amenities at Residential Locations," Land Economics, University of Wisconsin Press, vol. 77(1), pages 12-29.
- Beckmann, Martin J., 1973. "Equilibrium models of residential land use," Regional and Urban Economics, Elsevier, vol. 3(4), pages 361-368, November.
- Hong, Junjie, 2007. "Transport and the location of foreign logistics firms: The Chinese experience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 597-609, July.
- Hong, Junjie & CHIN, Anthony T.H., 2007. "Modeling the location choices of foreign investments in Chinese logistics industry," China Economic Review, Elsevier, vol. 18(4), pages 425-437.
- Bliemer, Michiel C.J. & Rose, John M., 2010. "Construction of experimental designs for mixed logit models allowing for correlation across choice observations," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 720-734, July.
- Hayashi, Yoshitsugu & Isobe, Tomohiko & Tomita, Yasuo, 1986. "Modelling the long-term effects of transport and land use policies on industrial locational behaviour : A discrete choice model system," Regional Science and Urban Economics, Elsevier, vol. 16(1), pages 123-143, February.
- Kessels, Roselinde & Jones, Bradley & Goos, Peter & Vandebroek, Martina, 2009. "An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 279-291.
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