Research on Assessing Airport Sustainable Development Ability Based on Particle Swarm Optimization Algorithm

Guang Hui Yuan; Chong Jun Fan; Yun Peng Yang; Liang An Huo

doi:10.4028/www.scientific.net/AMM.598.667

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 598Research on Assessing Airport Sustainable...

Research on Assessing Airport Sustainable Development Ability Based on Particle Swarm Optimization Algorithm

Abstract:

This paper focuses on assessing airport sustainable development ability. A new concept to evaluate the dynamic work on sustainable development is proposed, which is defined as airport sustainable development capacity as well as the status quo of Shanghai airport. The index system of airport sustainable is given, which includes Operational, Social, Environmental, Resources and energy system. The Airport Sustainable Development Comprehensive Index (ASDCI) is proposed, and investigates the parameter with Particle Swarm Optimization. Found that there was a marked improvement of Shanghai airport sustainable development by empirical analysis, especially the Environmental, Resources and energy. This mode has used in shanghai airport’s sustainable development evaluation system.

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Periodical:

Applied Mechanics and Materials (Volume 598)

Pages:

667-671

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.598.667

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Online since:

July 2014

Authors:

Guang Hui Yuan*, Chong Jun Fan, Yun Peng Yang, Liang An Huo

Keywords:

Airport Sustainable Development, Assessment Indicator System, Particle Swarm Optimization (PSO)

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* - Corresponding Author

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