IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i9p2473-d170404.html
   My bibliography  Save this article

A Study on the Strategy for Departure Aircraft Pushback Control from the Perspective of Reducing Carbon Emissions

Author

Listed:
  • Xinhua Zhu

    (College of Economics and Management, Civil Aviation University of China, Tianjin 300300, China
    College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Nan Li

    (College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China, nanli@cauc.edu.cn (N.L.))

  • Yu Sun

    (College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China, nanli@cauc.edu.cn (N.L.))

  • Hongfei Zhang

    (Operation and Control Center, Shandong Airlines, Jinan 250014, China)

  • Kai Wang

    (College of Business Administration, Capital University of Economics and Business, Beijing 100070, China)

  • Sang-Bing Tsai

    (College of Business Administration, Capital University of Economics and Business, Beijing 100070, China
    Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China)

Abstract

In order to reduce the taxiing time of departing aircraft and reduce the fuel consumption and exhaust emissions of the aircraft, Shanghai Hongqiao Airport was taken as an example to study the control strategy for aircraft departure. In this paper, the influence of the number of departure aircraft on the runway utilization rate, the takeoff rate, and the departure rate of flight departures under the conditions of airport runway capacity constraints are studied. The influence of factors, such as the number of departure aircraft, the gate position of the aircraft, and the configuration of airport arrival and departure runways, on the aircraft taxiing time for departure is analyzed. Based on a multivariate linear regression equation, a time prediction model of aircraft departure taxiing time is established. The fuel consumption and pollutant emissions of aircraft are calculated. The experimental results show that, without reducing the utilization rate of the runway and the departure rate of flights, implementing a reasonable pushback number for control of departing aircraft during busy hours can reduce the departure taxiing time of aircraft by nearly 32%, effectively reducing the fuel consumption and pollutant emissions during taxiing on the airport surface.

Suggested Citation

  • Xinhua Zhu & Nan Li & Yu Sun & Hongfei Zhang & Kai Wang & Sang-Bing Tsai, 2018. "A Study on the Strategy for Departure Aircraft Pushback Control from the Perspective of Reducing Carbon Emissions," Energies, MDPI, vol. 11(9), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2473-:d:170404
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/9/2473/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/9/2473/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qunzhen Qu & Sang-Bing Tsai & Mengxue Tang & Congjiang Xu & Weiwei Dong, 2016. "Marine Ecological Environment Management Based on Ecological Compensation Mechanisms," Sustainability, MDPI, vol. 8(12), pages 1-10, December.
    2. Baoshan Ge & Dake Jiang & Yang Gao & Sang-Bing Tsai, 2016. "The Influence of Legitimacy on a Proactive Green Orientation and Green Performance: A Study Based on Transitional Economy Scenarios in China," Sustainability, MDPI, vol. 8(12), pages 1-20, December.
    3. S Ravizza & J A D Atkin & M H Maathuis & E K Burke, 2013. "A combined statistical approach and ground movement model for improving taxi time estimations at airports," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(9), pages 1347-1360, September.
    4. Tsai, Sang-Bing, 2018. "Using the DEMATEL model to explore the job satisfaction of research and development professionals in china's photovoltaic cell industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 62-68.
    5. repec:bla:jfinan:v:58:y:2003:i:3:p:1301-1327 is not listed on IDEAS
    6. Bin Liu & Tao Li & Sang-Bing Tsai, 2017. "Low Carbon Strategy Analysis of Competing Supply Chains with Different Power Structures," Sustainability, MDPI, vol. 9(5), pages 1-21, May.
    7. Ronald C. Anderson & David M. Reeb, 2003. "Founding‐Family Ownership and Firm Performance: Evidence from the S&P 500," Journal of Finance, American Finance Association, vol. 58(3), pages 1301-1328, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wen-Hsien Tsai, 2019. "Modeling and Simulation of Carbon Emission-Related Issues," Energies, MDPI, vol. 12(13), pages 1-8, July.
    2. Herrema, Floris & Curran, Ricky & Hartjes, Sander & Ellejmi, Mohamed & Bancroft, Steven & Schultz, Michael, 2019. "A machine learning model to predict runway exit at Vienna airport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 329-342.
    3. Nan Li & Yu Sun & Jian Yu & Jian-Cheng Li & Hong-fei Zhang & Sangbing Tsai, 2019. "An Empirical Study on Low Emission Taxiing Path Optimization of Aircrafts on Airport Surfaces from the Perspective of Reducing Carbon Emissions," Energies, MDPI, vol. 12(9), pages 1-19, April.
    4. Bojan Kranjec & Sasa Sladic & Wojciech Giernacki & Neven Bulic, 2018. "PV System Design and Flight Efficiency Considerations for Fixed-Wing Radio-Controlled Aircraft—A Case Study," Energies, MDPI, vol. 11(10), pages 1-12, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jason Z. Ma & Xiang Deng & Kung-Cheng Ho & Sang-Bing Tsai, 2018. "Regime-Switching Determinants for Spreads of Emerging Markets Sovereign Credit Default Swaps," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    2. Shiqi Li & Maoxiang Lang & Xueqiao Yu & Mingyue Zhang & Minghe Jiang & Sangbing Tsai & Cheng-Kuang Wang & Fang Bian, 2019. "A Sustainable Transport Competitiveness Analysis of the China Railway Express in the Context of the Belt and Road Initiative," Sustainability, MDPI, vol. 11(10), pages 1-30, May.
    3. Zichun Yan & Kai Wang & Sang-Bing Tsai & Lili Zhou, 2018. "An Empirical Study on Internet Startup Financing From a Green Financial Perspective," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    4. Nan Li & Yu Sun & Jian Yu & Jian-Cheng Li & Hong-fei Zhang & Sangbing Tsai, 2019. "An Empirical Study on Low Emission Taxiing Path Optimization of Aircrafts on Airport Surfaces from the Perspective of Reducing Carbon Emissions," Energies, MDPI, vol. 12(9), pages 1-19, April.
    5. Xueqiao Yu & Maoxiang Lang & Yang Gao & Kai Wang & Ching-Hsia Su & Sang-Bing Tsai & Mingkun Huo & Xiao Yu & Shiqi Li, 2018. "An Empirical Study on the Design of China High-Speed Rail Express Train Operation Plan—From a Sustainable Transport Perspective," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    6. Lin Feng & Baoping Sun & Kai Wang & Sang-Bing Tsai, 2018. "An Empirical Study on the Design of Digital Content Products from a Big Data Perspective," Sustainability, MDPI, vol. 10(9), pages 1-21, August.
    7. Wenqing Wu & Kexin Yu & Saixiang Ma & Chien-Chi Chu & Shijie Li & Chengcheng Ma & Sang-Bing Tsai, 2018. "An Empirical Study on Optimal Strategies of Industry-University-Institute Green Innovation with Subsidy," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    8. Lei Yang & Meng Chen & Yiji Cai & Sang-Bing Tsai, 2018. "Manufacturer’s Decision as Consumers’ Low-Carbon Preference Grows," Sustainability, MDPI, vol. 10(4), pages 1-26, April.
    9. Ching-Chih Chou & Chien-Wen Shen & Dapeng Gao & Yang Gao & Kai Wang & Sang-Bing Tsai, 2018. "Modelling the Dynamic Impacts of High Speed Rail Operation on Regional Public Transport—From the Perspective of Energy Economy," Energies, MDPI, vol. 11(5), pages 1-15, May.
    10. Quan Chen & Sang-Bing Tsai & Yuming Zhai & Chien-Chi Chu & Jie Zhou & Guodong Li & Yuxiang Zheng & Jiangtao Wang & Li-Chung Chang & Chao-Feng Hsu, 2018. "An Empirical Research on Bank Client Credit Assessments," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    11. Wei Song & Zhiya Chen & Aijun Liu & Qiuyun Zhu & Wei Zhao & Sang-Bing Tsai & Hui Lu, 2018. "A Study on Green Supplier Selection in Dynamic Environment," Sustainability, MDPI, vol. 10(4), pages 1-22, April.
    12. Jiafu Su & Chi Li & Sang-Bing Tsai & Hui Lu & Aijun Liu & Quan Chen, 2018. "A Sustainable Closed-Loop Supply Chain Decision Mechanism in the Electronic Sector," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
    13. Yang Gao & Yu Wang & Chien-Chi Chu & Sang-Bing Tsai & Xiaomin Du & Quan Chen, 2018. "Nonlinear Effect of Financial Efficiency and Financial Competition on Heterogeneous Firm R&D: A Study on the Combined Perspective of Financial Quantity Expansion and Quality Development," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    14. Aijun Liu & Haiyang Liu & Yaxuan Xiao & Sang-Bing Tsai & Hui Lu, 2018. "An Empirical Study on Design Partner Selection in Green Product Collaboration Design," Sustainability, MDPI, vol. 10(1), pages 1-21, January.
    15. Kai Wang & Kun-Kun Xue & Jin-Hua Xu & Chien-Chi Chu & Sang-Bing Tsai & He-Jun Fan & Zhen-Yu Wang & Jiangtao Wang, 2018. "How Does a Staggered Board Provision Affect Corporate Strategic Change?—Evidence from China’s Listed Companies," Sustainability, MDPI, vol. 10(5), pages 1-13, May.
    16. Yuxiang Zheng & Jiaying Wang & Sang-Bing Tsai & Guodong Li & Jiangtao Wang & Jie Zhou, 2017. "Research on Customer Satisfaction in Marine Cultural and Sustainable Tourism—A Case Study of Shanghai," Sustainability, MDPI, vol. 9(6), pages 1-11, May.
    17. Yuxiu Chen & Jian Yu & Li Li & Linlin Li & Long Li & Jie Zhou & Sang-Bing Tsai & Quan Chen, 2018. "An Empirical Study of the Impact of the Air Transportation Industry Energy Conservation and Emission Reduction Projects on the Local Economy in China," IJERPH, MDPI, vol. 15(4), pages 1-20, April.
    18. Jie Wei & Wen Wang & Sang-Bing Tsai & Xiaoli Yang, 2018. "To Cooperate or Not? An Analysis of Complementary Product Pricing in Green Supply Chain," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    19. Zongsheng Huang & Jiajia Nie & Sang-Bing Tsai, 2017. "Dynamic Collection Strategy and Coordination of a Remanufacturing Closed-Loop Supply Chain under Uncertainty," Sustainability, MDPI, vol. 9(5), pages 1-18, April.
    20. Tian-Cheng Li & Chien-Chi Chu & Fan-Cun Meng & Qin Li & Di Mo & Bin Li & Sang-Bing Tsai, 2018. "Will Happiness Improve the Psychological Integration of Migrant Workers?," IJERPH, MDPI, vol. 15(5), pages 1-22, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2473-:d:170404. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.