Flight departure optimization reduces airport CO2 emissions proved by Beijing-Tianjin-Hebei multiple-airport-region

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment Pub Date : 2025-08-21 DOI:10.1016/j.trd.2025.104920

Yanfeng Xu , Mingyu Kang , Duxin Chen , Chenyang Wu , Xinglong Wang , Ran Tu , Wenwu Yu

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引用次数: 0

Abstract

The increasing number of flights in operation calls for scheduling optimization to alleviate departure delays and improve airport environmental efficiency. In this study, an aircraft dispatching model is proposed and solved with a digital twin (DT) system to capture the real-time airport operations. Setting the minimum airport surface operational emissions as the objective, this model highlights the resource utilization of the multiple-airport-region (MAR) in addition to the constraints from individual airports. DT simulation was applied to facilitate the real-time operational optimization within the region. The Beijing-Tianjin-Hebei MAR (BTH-MAR) is used as an example for DT system simulation validation, and the experimental results show that our model can effectively mitigate the flight delay, with Beijing Capital Airport able to reduce flight delays by 89 s on average, reduce takeoff congestion by 46 s on average, and altogether reduce 10% CO₂ emissions in the takeoff phase.

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京津冀多机场区证明，航班离港优化可减少机场二氧化碳排放

随着航班数量的不断增加，需要对航班调度进行优化，以减轻起飞延误，提高机场环境效率。本文提出了一种飞机调度模型，并利用数字孪生（DT）系统对其进行求解，以实时捕捉机场的运行情况。该模型以最小的机场表面运营排放为目标，除了单个机场的约束外，还突出了多机场区域（MAR）的资源利用。采用DT模拟，便于区域内的实时操作优化。以京津冀机场（BTH-MAR）为例，对DT系统进行了仿真验证，实验结果表明，该模型能够有效缓解航班延误，首都机场平均减少航班延误89秒，平均减少起飞拥堵46秒，共减少起飞阶段10%的CO2排放。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transportation Research Part D-transport and Environment 工程技术-运输科技

CiteScore

14.40

自引率

9.20%

发文量

314

审稿时长

39 days

期刊介绍： Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution. We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.