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This study considers the planned gate and runway assignment problem for minimizing carbon emissions and costs during the aircraft taxiing stage. The distances between multiple gates and runways, the fuel consumption of different types of aircraft, the location of terminal buildings belonging to the airline, the size of parking aprons for aircraft, and runway lengths for different types of aircraft are all considered. We propose the following two objectives: the minimization of carbon emissions and the minimization of carbon emission costs for airport and for airlines, respectively. A case study based on operations of Taiwan's Taoyuan International Airport is performed. Analytical results indicate that our assignments can achieve an 8.93% reduction of carbon emissions and 10.33% reduction of carbon emission costs compared with the current assignments. [ABSTRACT FROM AUTHOR]

Abstract: The passenger’s perception of the airport’s level of service (LOS) may have a significant impact on promoting or discouraging future tourism and business activities. In this study, we take a look at this problem, but unlike in traditional statistical analysis, we apply a new method, the dominance-based rough set approach (DRSA), to an airport service survey. A set of “if … then …” decision rules is used in the preference model. The passengers indicate their perception of airport LOS by rating a set of criteria/attributes. The proposed method provides practical information that should be of help to airport planners, designers, operators, and managers to develop LOS improvement strategies. The model was implemented using survey data from a large sample of customers from an international airport in Taiwan. [Copyright &y& Elsevier]