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The geography of air freight: connections to U.S. metropolitan economies

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  • Alkaabi, Khaula A.
  • Debbage, Keith G.

Abstract

Despite the rapid growth of air freight shipments, much of the existing literature on the geography of air transportation has paid more attention to passenger travel than air freight. The purpose of this paper is to elevate our understanding of air freight by determining which specific variables most influence and shape the geographic distribution of air freight by metropolitan area using stepwise regression analysis. The empirical results suggest a regression model of five independent variables was the most parsimonious solution where the final model accounted for 71.1% of the variation in air freight shipments by metropolitan area (MA). The most important predictor was the traffic shadow effect, where less populated MAs under the traffic shadow of larger MAs tended to generate lower levels of freight. The model also suggested that other key predictors included the employment market share in transportation-shipping-logistics industries, per capita personal income, the number of medical diagnostic and supplier establishments, and above average wages in high technology. Overall, metropolitan markets with diverse and efficient ground support systems, freight forwarders and other transportation services, a more affluent population, an intense agglomeration of medical laboratories and related suppliers, and a well paid skilled workforce engaged in computer systems design and electronic product manufacturing are more likely to ship freight by air.

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  • Alkaabi, Khaula A. & Debbage, Keith G., 2011. "The geography of air freight: connections to U.S. metropolitan economies," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1517-1529.
  • Handle: RePEc:eee:jotrge:v:19:y:2011:i:6:p:1517-1529
    DOI: 10.1016/j.jtrangeo.2011.04.004
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    5. Farshid Azadian, 2020. "Assessing the effect of urban socioeconomic factors and the financial crisis of 2008 on domestic air cargo traffic in Florida," Transportation, Springer, vol. 47(1), pages 223-241, February.
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    7. Mayer, Robert, 2016. "Airport classification based on cargo characteristics," Journal of Transport Geography, Elsevier, vol. 54(C), pages 53-65.
    8. Chen, Zhe & Jiang, Hai, 2020. "Impacts of high-speed rail on domestic air cargo traffic in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 1-13.
    9. Van Asch, Thomas & Dewulf, Wouter & Kupfer, Franziska & Cárdenas, Ivan & Van de Voorde, Eddy, 2020. "Cross-border e-commerce logistics – Strategic success factors for airports," Research in Transportation Economics, Elsevier, vol. 79(C).
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