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The role of airport proximity on warehouse location and associated truck trips: Evidence from Toronto,Ontario
Affiliation:1. Department of Civil Engineering, York University, 4700 Keele St., Toronto, ON M3J 1P3, Canada;2. Department of Civil and Environmental Engineering, Cross-Border Institute, University of Windsor, 401 Sunset Ave., Windsor, ON N9B 3P4, Canada;2. Distinguished Professor of Beijing University of Technology, Shandong Jiaotong University and Chan''an University, China;3. PATH Program, The University of California at Berkeley, Richmond Field Station, Bldg. 177, MC 3580, 1357 S. 46th Street, Richmond, CA 94804, USA;4. National Risk Management Research Laboratory, US EPA, Office of Research and Development, Cincinnati, OH 45268, USA;1. School of Civil Engineering, The University of Queensland, St. Lucia 4072, Brisbane, Australia;2. Department of Geography, Hebrew University of Jerusalem, Mount Scopus, 91905 Jerusalem, Israel;3. Department of Management Engineering, Technical University of Denmark, Bygningstorvet 116B, 2800 Kgs. Lyngby, Denmark;1. German Aerospace Center, Institute of Transport Research, Rutherfordstrasse 2, 12489 Berlin, Germany;2. Technical University of Berlin, Institute of Land and Sea Transport Systems, Salzufer 17–19, 10587 Berlin, Germany;1. Université Gustave Eiffel, IFSTTAR, AME-SPLOTT, 14-20 Bd Newton, 77420 Champs-sur-Marne, France;2. Université Gustave Eiffel, IFSTTAR, AME-DEST, 14-20 Bd Newton, 77420 Champs-sur-Marne, France;3. Université Gustave Eiffel, IFSTTAR, AME, 14-20 Bd Newton, 77420 Champs-sur-Marne, France
Abstract:This paper examines the two-way relationship between land use and transportation from the perspective of warehouses in the Toronto Census Metropolitan Area. A location choice model is first developed to reproduce the decision process of firms selecting suitable locations to operate warehousing facilities. The results highlight that transportation plays a prominent role in the location of warehouses with proximity to airport, highway infrastructure, and rail to a lesser extent. However, the proportion of industrial land use provides the largest role in the model suggesting that available land and zoning is the most important factor. This paper also studies the impact of warehouse location on freight transportation trips. The resulting analysis highlights that GPS derived trips arising from warehouses near a major airport in Toronto tend to travel 1.8 times further than trips pertaining to other warehouses in the region. This suggests that trips related to the airport are more likely to be connected to a larger supply chain process.
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