Using Disaggregated Socioeconomic Data in Air Passenger Demand Studies (2019) / Chapter Skim
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From page 4... ...
4 Airports rely on air passenger demand studies and forecasts for a variety of purposes, such as airport planning, airport marketing, air service development, and passenger leakage. The models and forecasts developed for these purposes typically correlate an airport's passenger activity to aggregate regional socioeconomic aggregate measures, such as regional population, average household income, and various measures of regional economic output.
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From page 5... ...
Introduction 5 variables provide new information compared to a baseline of traditional air passenger demand modeling using aggregate socioeconomic variables? • Can new approaches to structuring econometric models or other approaches be developed and used to realize the value of incorporating disaggregated socioeconomic data in understanding or modeling air passenger demand?
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From page 6... ...
6 Using Disaggregated Socioeconomic Data in Air Passenger Demand Studies differing size and circumstance. For each of these, the case study exercise, using annual data from 1990 to 2010, compares model and forecast performance of a "traditional" regression model using aggregated socioeconomic variables with those of an "alternative" model that also includes a regional disaggregated household income variable.
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From page 7... ...
Introduction 7 passengers of differing socioeconomic characteristics. Four distinct approaches to modeling air passenger demand in ways that may allow the incorporation of disaggregated socioeconomic data into the set of independent model variables are explored.
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