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Title: | An Innovative Multi-Objective Rescheduling System for Mitigating Pandemic Spread in Aviation Networks |
Authors: | Yuan, Y Wang, Y Jiang, X Lai, CS |
Keywords: | rescheduling;discrete spatiotemporal network;infectious pressure;coronavirus pandemic |
Issue Date: | 16-Jan-2024 |
Publisher: | MDPI |
Citation: | Yuan, Y. et al. (2024) 'An Innovative Multi-Objective Rescheduling System for Mitigating Pandemic Spread in Aviation Networks', Clean Technologies, 6 (1), pp. 77 - 92. doi: 10.3390/cleantechnol6010006. |
Abstract: | The novel coronavirus outbreak has significantly heightened environmental costs and operational challenges for civil aviation airlines, prompting emergency airport closures in affected regions and a substantial decline in ridership. The consequential need to reassess, delay, or cancel flight itineraries has led to disruptions at airports, amplifying the risk of disease transmission. In response, this paper proposes a spatial approach to efficiently address pandemic spread in the civil aviation network. The methodology prioritizes the use of a static gravity model for calculating route-specific infection pressures, enabling strategic flight rescheduling to control infection levels at airports (nodes) and among airlines (edges). Temporally, this study considers intervals between takeoffs and landings to minimize crowd gatherings, mitigating the novel coronavirus transmission rate. By constructing a discrete space–time network for irregular flights, this research generates a viable set of routes for aircraft operating in special circumstances, minimizing both route-specific infection pressures and operational costs for airlines. Remarkably, the introduced method demonstrates substantial savings, reaching almost 53.4%, compared to traditional plans. This showcases its efficacy in optimizing responses to pandemic-induced disruptions within the civil aviation network, offering a comprehensive solution that balances operational efficiency and public health considerations in the face of unprecedented challenges. |
Description: | Data Availability Statement The data presented in this study are available online at: https://www.mdpi.com/2571-8797/6/1/6#app1-cleantechnol-06-00006 . |
URI: | https://bura.brunel.ac.uk/handle/2438/28416 |
DOI: | https://doi.org/10.3390/cleantechnol6010006 |
Other Identifiers: | ORCiD: Xiushan Jiang https://orcid.org/0000-0001-6217-2762 ORCiD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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