A large neighborhood search heuristic to establish an optimal ad-hoc hubbing strategy in the wake of a large-scale airport outage |
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| Affiliation: | 1. University of Pennsylvania, Department of City and Regional Planning, 210 S 34th Street #102, Philadelphia, PA 19104, USA;2. University of Pennsylvania, Department of Electrical and Systems Engineering, 200 South 33rd Street, Philadelphia, PA 19104, USA;1. School of Engineering, RMIT University, Melbourne, Australia;2. Boeing Research & Technology – Australia, Brisbane, Australia;1. School of Environment and Society, Tokyo Institute of Technology; 2-12-1-I4-12, O-okayama, Meguro-ku, Tokyo, 152-8550, Japan;2. Japan Transport Research Institute; 3-18-19, Toranomon, Minato-ku, Tokyo, 105-0001, Japan;1. Air Traffic Management Research Institute, Nanyang Technological University, Singapore;2. Department of Industrial and Systems Engineering, National University of Singapore, Singapore;3. Room 8-15, Haking Wong Building, University of Hong Kong, Hong Kong;1. Department of Decision Sciences and Managerial Economics, The Chinese University of Hong Kong, Hong Kong;2. Sauder School of Business, The University of British Columbia, Canada;3. Hang Seng Management College, Hong Kong |
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| Abstract: | Abrupt airport outages can cause diversions and fuel-critical situations for flights, leading to costly passenger misconnections. We develop a large neighborhood search heuristic to optimize the rerouting of flights bound for a disrupted airport to a hub airport that is not disrupted, with the goal of accommodating passengers on existing flights departing the non-disrupted hub. The objective of the heuristic is to identify and reroute flights to the ad-hoc hub(s) – non-disrupted hub airport(s) – that minimize the sum of passenger travel time and wait time. We minimize the passenger cost as the sum of passenger travel time to the diversion airport and wait time for a connecting flight at the ad-hoc hub airport, subject to on-board fuel and diversion airport capacity constraints. We use the heuristic to determine how a coordinated traffic management strategy could have diverted flights immediately following a real-world airport outage. |
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| Keywords: | Airport outages Large scale neighborhood search heuristic |
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