Abstract
Carbon emissions in air passenger transport have become increasing serious with the rapidly development of aviation industry. Combined with a tripartite equilibrium strategy, this paper proposes a multi-level multi-objective model for an air passenger transport carbon tax setting problem (CTSP) among an international organization, an airline and passengers with the fuzzy uncertainty. The proposed model is simplified to an equivalent crisp model by a weighted sum procedure and a Karush-Kuhn-Tucker (KKT) transformation method. To solve the equivalent crisp model, a fuzzy logic controlled genetic algorithm with entropy-Bolitzmann selection (FLC-GA with EBS) is designed as an integrated solution method. Then, a numerical example is provided to demonstrate the practicality and efficiency of the optimization method. Results show that the cap tax mechanism is an important part of air passenger trans’port carbon emission mitigation and thus, it should be effectively applied to air passenger transport. These results also indicate that the proposed method can provide efficient ways of mitigating carbon emissions for air passenger transport, and therefore assist decision makers in formulating relevant strategies under multiple scenarios.
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Funding
This research is supported by State Key Development Program of (for) Basic Research of China (973 Program, Grant No. 2011CB201200), the Programs of National Natural Science Foundation of China (Grant No. 71401114 and No. 71671118), the Major Bidding Program of National Social Science Foundation of China (Grant No. 12&ZD217), and China Scholarship Council (CSC) (Grant No. 201606240155).
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Xu, J., Qiu, R., Tao, Z. et al. Tripartite equilibrium strategy for a carbon tax setting problem in air passenger transport. Environ Sci Pollut Res 25, 8512–8531 (2018). https://doi.org/10.1007/s11356-017-1163-z
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DOI: https://doi.org/10.1007/s11356-017-1163-z