This paper applies network DEA to modeling US airport efficiency taking into account monetary expenditure and environmental impact of the undesirable taxiway delay, in order to provide airlines insights on investment potentiality and fuel cost from the delay of airports. We also enhanced the model inputs by using runway configuration in addition to merely counting area and number of runways in conventional DEA application. Outputs are also improved by further transform fuel consumption to pollutants emission from the social-good perspective. Results are illustrated for 44 airports in the United States over 2011-2015.