Abstract
With increasing air travel demand, it is important for airports to evaluate infrastructure investment and demand management solutions to curb traffic congestion and minimize landside energy consumption. Understanding the decisions and choices air passengers make about their ground access modes is important for both developing infrastructure planning strategies and assessing the impacts of emerging modes on airport revenues, particularly from parking. But parking choice is often overlooked in the modeling of airport ground access choices. To address this gap, NREL's Athena team developed a nested multinomial logit regression model based on a passenger survey conducted at Dallas Fort Worth International Airport in 2015. This fact sheet is an overview of the approach and its impact.
Original language | American English |
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State | Published - 2021 |
NREL Publication Number
- NREL/FS-2C00-80009
Keywords
- airline
- Athena
- DFW
- logit regression
- model
- multinomial
- nested
- parking option
- travel