A Method to Estimate the Historical US Air Travel Demand

This article presents a route-based optimization model that can be used to estimate the historic origin and destination (OD) United States air passenger demand. The model uses a single-level, route-based optimization approach, the route flow estimator (RFE). The authors note that the RFE contains some decision factors that are rarely considered in OD estimation methods in ground transportation. They propose an iterative solution algorithm to solve the optimization model. In addition, they propose a feedback-adjustment scheme to estimate the model coefficients in the route utility function. The authors use two data sets related to U.S. air travel demand: the Airline Origin and Destination Survey (DBIB) and the T100 Domestic Market (T100 DM). They apply the proposed method to estimate the US air travel demand in the year 1995. The authors conclude with a brief discussion of the practical applications of this OD demand model, notably as a more reliable input for intercity transportation demand models.

Language

  • English

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  • Accession Number: 01492169
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 8 2013 3:21PM