Concurrent Aircraft Design and Airline Network Design Incorporating Passenger Demand Models

2009 ◽  
Author(s):  
Navindran Davendralingam ◽  
William Crossley
Keyword(s):  
Network Design ◽  
Aircraft Design ◽  
Passenger Demand ◽  
Demand Models ◽  
Airline Network

Robust Approach for Concurrent Aircraft Design and Airline Network Design

2014 ◽  
Vol 51 (6) ◽  
pp. 1773-1783 ◽  
Author(s):  
Navindran Davendralingam ◽  
William Crossley
Keyword(s):  
Network Design ◽  
Aircraft Design ◽  
Robust Approach ◽  
Airline Network

scholarly journals Addressing Household Income Distribution in Air Travel Demand Models: Case Study of the Baltimore–Washington Region

2019 ◽  
Vol 2673 (1) ◽  
pp. 491-502 ◽  
Author(s):  
Geoffrey D. Gosling ◽  
David Ballard
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Travel Demand ◽  
Metropolitan Region ◽  
Annual Data ◽  
Demand Model ◽  
Passenger Demand ◽  
Average Household Income ◽  
Demand Models ◽  
The Future

The paper describes the development of an air passenger demand model for the Baltimore–Washington metropolitan region that was undertaken as part of a recently concluded ACRP project that explored the use of disaggregated socioeconomic data in air passenger demand studies. The model incorporated a variable reflecting the change in household income distribution, together with more traditional aggregate causal variables: population, employment, average household income, and airfares as measured by the average U.S. airline yield, as well as several year-specific dummy variables. The model was estimated on annual data for the period 1990 to 2010 and obtained statistically significant estimated coefficients for all variables, including both the average household income and the household income distribution variable. Including household income distribution in the model resulted in a significant change to the estimated coefficient for average household income, giving a much higher estimated elasticity of demand with respect to average household income compared with a model that does not consider changes in household income distribution. This has important implications for the use of such demand models for forecasting, as household income distribution and average household income may change in the future in quite different ways, which would affect the future levels of air passenger travel projected by the models.

Airline Network Design

1998 ◽  
Vol 46 (6) ◽  
pp. 785-804 ◽  
Author(s):  
Phillip J. Lederer ◽  
Ramakrishnan S. Nambimadom
Keyword(s):  
Network Design ◽  
Airline Network
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