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Acquiring and Geo-Visualizing Aviation Carbon Footprint among Urban Agglomerations in China

Author

Listed:
  • Chuntao Wu

    (School of Tourism, Sichuan University, Chengdu 610065, China)

  • Maozhu Liao

    (School of Tourism, Sichuan University, Chengdu 610065, China)

  • Chengliang Liu

    (Institute for Global Innovation and Development, East China Normal University, Shanghai 200062, China
    School of Urban and Regional Sciences, East China Normal University, Shanghai 200241, China
    Institute of Eco-Chongming, East China Normal University, Shanghai 200062, China)

Abstract

This paper had two main purposes. One was to estimate annual total aviation CO 2 emissions from/among all key urban agglomerations (UAs) in China and its changes patterns from 2007 to 2014. The second one was to visualize the aviation carbon footprints among the UAs by using a chord diagram plot. This study also used Kaya identity to decompose the contribution of potential driving forces behind the aviation CO 2 emissions using Kaya identity. Especially, it decomposed factor CO 2 /gross domestic product (GDP), which is wildly used in Kaya identity analysis, into factor CO 2 /value-added (VA) and factor VA/GDP. Here, VA represents the tourism value added of the corresponding flights. The main results were: (1) The UAs developed a much bigger and stronger carbon network among themselves. (2) There was also an expanding of the flows to less densely populated or less developed UAs. However, the regional disparity increased significantly. (3) Compared with the driving factor of population, the GDP per capita impacted the emission amount more significantly. Our contribution had two folds. First, it advances current knowledge by fulfilling the research gap between transport emissions and UA relationship. Second, it provides a new approach to visualizing the aviation carbon footprints as well as the relationships among UAs.

Suggested Citation

  • Chuntao Wu & Maozhu Liao & Chengliang Liu, 2019. "Acquiring and Geo-Visualizing Aviation Carbon Footprint among Urban Agglomerations in China," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4515-:d:259405
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    Cited by:

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    4. Jing Wu & Changlong Ling & Xinzhuo Li, 2019. "Study on the Accessibility and Recreational Development Potential of Lakeside Areas Based on Bike-Sharing Big Data Taking Wuhan City as an Example," Sustainability, MDPI, vol. 12(1), pages 1-20, December.

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