气候变化领域集成服务门户(CCPortal): The impact of Chinese airport infrastructure on airline pollutant emissions: A hybrid stochastic-neural network approach based on utility functions

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DOI	10.1016/j.jenvman.2024.120117
	The impact of Chinese airport infrastructure on airline pollutant emissions: A hybrid stochastic-neural network approach based on utility functions
	Cui, Qiang; Antunes, Jorge; Wanke, Peter; Tan, Yong; Roubaud, David; Jabbour, Charbel Jose Chiappetta
发表日期	2024
ISSN	0301-4797
EISSN	1095-8630
起始页码	352
卷号	352
英文摘要	With China being the world's largest emitter of greenhouse gases and its aviation sector burgeoning, the environmental performance of Chinese airlines has global significance. Amidst rising demands for eco-friendly practices from both customers and regulators, the interplay between airport infrastructure and environmental performance becomes pivotal. This research offers an innovative methodology to gauge the environmental performance of Chinese airlines, emphasizing the distance traveled between airports using weighted additive utility functions. Leveraging neural networks, the study investigates the impact of various airport infrastructural characteristics on environmental performance. Noteworthy findings indicate that ground control measures, automatic information services at origin airports, surface concrete on runways at both ends, and a centerline lighting system in destination airports positively influence environmental performance. In contrast, longer and wider runways at origin airports, increased distances to control towers, and asphalt runways at destination airports adversely affect it. These insights not only underscore the importance of strategic infrastructure enhancements for reducing carbon footprints but also hold profound policy implications. As global climate change remains at the forefront, fostering sustainable airport infrastructure in China can significantly contribute to worldwide mitigation efforts.
英文关键词	Air transport industry; China; Environmental performance index; Utility functions; Distance traveled; Neural networks
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001170627500001
来源期刊	JOURNAL OF ENVIRONMENTAL MANAGEMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/294421
作者单位	Southeast University - China; Universidade Federal do Rio de Janeiro; University of Bradford; Montpellier Business School
推荐引用方式 GB/T 7714	Cui, Qiang,Antunes, Jorge,Wanke, Peter,et al. The impact of Chinese airport infrastructure on airline pollutant emissions: A hybrid stochastic-neural network approach based on utility functions[J],2024,352.
APA	Cui, Qiang,Antunes, Jorge,Wanke, Peter,Tan, Yong,Roubaud, David,&Jabbour, Charbel Jose Chiappetta.(2024).The impact of Chinese airport infrastructure on airline pollutant emissions: A hybrid stochastic-neural network approach based on utility functions.JOURNAL OF ENVIRONMENTAL MANAGEMENT,352.
MLA	Cui, Qiang,et al."The impact of Chinese airport infrastructure on airline pollutant emissions: A hybrid stochastic-neural network approach based on utility functions".JOURNAL OF ENVIRONMENTAL MANAGEMENT 352(2024).