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Evaluating the efficiency of the Essential Air Service program in the United States

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  • Grubesic, Tony H.
  • Wei, Fangwu
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    Abstract

    Essential Air Service (EAS) is a federally funded program in the United States that provides connecting, commercial air service between rural communities and their nearest large or medium commercial hub airport. During fiscal year 2010, $170million dollars were spent to provide this service to 107 communities in the US. However, with significant variations in subsidies to each airport (ranging from $427,757 to $3,082,403) and marked differences in passengers served, there are serious concerns regarding the overall efficiency of the EAS program. The purpose of this paper is to use data envelopment analysis integrated in a geographic information system for evaluating service efficiencies at the community level. Policy implications and strategies to improve the EAS program are discussed.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 46 (2012)
    Issue (Month): 10 ()
    Pages: 1562-1573

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    Handle: RePEc:eee:transa:v:46:y:2012:i:10:p:1562-1573

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    Related research

    Keywords: Essential Air Service; Accessibility; Spatial analysis; Airports; Rural transportation; Efficiency;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Jun Ishii & Sunyoung Jun & Kurt Van Dender, 2006. "Air Travel Choices in Multi-Airport Markets," Working Papers 050622, University of California-Irvine, Department of Economics.
    2. Grubesic, Tony H. & Matisziw, Timothy C. & Murray, Alan T., 2012. "Assessing geographic coverage of the essential air service program," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 124-135.
    3. Sarkis, Joseph & Talluri, Srinivas, 2004. "Performance based clustering for benchmarking of US airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 329-346, June.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    7. Liu, Zhi-Jun & Debbage, Keith & Blackburn, Brendan, 2006. "Locational determinants of major US air passenger markets by metropolitan area," Journal of Air Transport Management, Elsevier, vol. 12(6), pages 331-341.
    8. Reynolds-Feighan, Aisling J., 1995. "European and American approaches to air transport liberalisation: Some implications for small communities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(6), pages 467-483, November.
    9. Cubbin, John & Tzanidakis, George, 1998. "Regression versus data envelopment analysis for efficiency measurement: an application to the England and Wales regulated water industry," Utilities Policy, Elsevier, vol. 7(2), pages 75-85, June.
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    Cited by:
    1. Grubesic, Tony H. & Murray, Alan T. & Matisziw, Timothy C., 2013. "A strategic approach for improving rural air transport in the United States," Transport Policy, Elsevier, vol. 30(C), pages 117-124.

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