The Experts below are selected from a list of 108 Experts worldwide ranked by ideXlab platform

Ziqiang Zeng - One of the best experts on this subject based on the ideXlab platform.

  • carbon tax incentive policy towards Air Passenger Transport carbon emissions reduction
    Transportation Research Part D-transport and Environment, 2020
    Co-Authors: Rui Qiu, Ziqiang Zeng, Heping Xie
    Abstract:

    Abstract With the rapid expansion of the aviation industry, Air Passenger Transport fossil fuel consumption and carbon emissions have attracted increasing attention. To reduce fossil fuel consumption and carbon emissions, this paper investigates an Air Passenger Transport carbon tax incentive policy setting problem, in which the carbon tax incentive policy includes a carbon tax and competitive tax rebates. Then a bi-level programming model is proposed to solve this problem. An interactive solution approach combining a genetic algorithm with fuzzy logic controllers is developed to find solutions based on the ICAO and Airlines related data. The results indicate that the incentive policy could encourage Airlines to improve fuel consumption and emission performance under proper conditions. Besides, the government should effectively control the carbon tax incentive level based on application effect and financial support, and Airlines could select proper improvement strategies and carbon tax transfer ratios under the incentive policy.

  • carbon emission allowance allocation with a mixed mechanism in Air Passenger Transport
    Journal of Environmental Management, 2017
    Co-Authors: Jiuping Xu, Ziqiang Zeng
    Abstract:

    Abstract Air Passenger Transport carbon emissions have become a great challenge for both governments and Airlines because of rapid developments in the aviation industry in recent decades. In this paper, a mixed mechanism composed of a cap-and-trade mechanism and a carbon tax mechanism is developed to assist governments in allocating carbon emission allowances to Airlines operating on the routes. Combined this mixed mechanism with an equilibrium strategy, a bi-level multi-objective model is proposed for an Air Passenger Transport carbon emission allowance allocation problem, in which a government is considered as a leader and the Airlines as the followers. An interactive solution approach integrating a genetic algorithm and an interactive evolutionary mechanism is designed to search for satisfactory solutions of the proposed model. A case study is then presented to show its practicality and efficiency in mitigating carbon emissions. Sensitivity analyses under different tradable and taxable levels are also conducted, which can give the government insights as to the tradeoffs between lowering carbon intensity and improving Airlines' operations. The computational results demonstrate that the mixed mechanism can assist greatly in carbon emission mitigation for Air Passenger Transport and therefore, it should be established as part of Air Passenger Transport carbon emission policies.

Milan Janic - One of the best experts on this subject based on the ideXlab platform.

  • advanced Transport systems infrastructure technologies operations economics environment and society policy
    2014
    Co-Authors: Milan Janic
    Abstract:

    This chapter describes selected HS (High Speed) Passenger Transport systems and their multicriteria ranking based on their infrastructural, technical/technological, operational, economic, environmental, and social/policy performances. These include the constantly growing APT (Air Passenger Transport) and an HSR (High Speed Rail), as well as forthcoming TRM (TransRapid MAGLEV) systems. Such a multicriteria approach has proven convenient regarding the general objectives expected to be fulfilled by the above-mentioned HS) systems as well as the often conflicting preferences of the increasing number of actors/stakeholders involved in the DM (Decision Making) process (Giuliano 1985; Haimes 1985; Speling 1984).

  • assessing some social and environmental effects of transforming an Airport into a real multimodal Transport node
    Transportation Research Part D-transport and Environment, 2011
    Co-Authors: Milan Janic
    Abstract:

    Abstract This paper deals with assessing some social and environmental effects of transforming a large Airport into a real multimodal Transport node. Such transformation implies connecting this given Airport to the High-Speed Rail (HSR) Transport network, which enables the substitution of certain Air Passenger Transport (APT) mainly short-haul flights with equivalent HSR services. This substitution can occur through competition and/or because of complementarity of the two modes. The effects include potential savings in the quantities and related costs of social and environmental impacts such as Airport Airside delays, noise, and local and global emissions of greenhouse gases. A methodology for quantifying these savings is developed and applied to a large European Airport according to the “what-if” scenario approach.

  • true multimodalism for mitigating Airport congestion substitution of Air Passenger Transport by high speed rail
    Transportation Research Record, 2010
    Co-Authors: Milan Janic
    Abstract:

    Continuous long-term growth of Air Transportation has created congestion and Aircraft-flight delays at many large Airports. In general, the most common long-term measure for managing and mitigating the congestion and delays at these Airports has included building new Airside and land-side infrastructure capacity. Particularly in Europe, an additional measure has implied the transformation of some large Airports into multi-modal Transport nodes, thus enabling other surface Transport modes to take over more substantially a portion of the excessive Airport demand. This has usually meant inclusion of these Airports into conventional rail networks, high-speed rail (HSR) networks, or both. This paper deals with an analysis and assessment of the savings of Airline and Passenger delays and related costs of substituting comparable HSR services at a large congested Airport for some short-haul flights. For such a purpose, the deterministic queuing model for quantifying these savings is developed. The model is applie...

  • multicriteria evaluation of high speed rail transrapid maglev and Air Passenger Transport in europe
    Transportation Planning and Technology, 2003
    Co-Authors: Milan Janic
    Abstract:

    This article deals with a multicriteria evaluation of High-Speed Rail, Transrapid Maglev and Air Passenger Transport in Europe. Operational, socio-economic and environmental performance indicators of the specific high-speed Transport systems are adopted as the evaluation criteria. By using the entropy method, weights are assigned to particular criteria in order to indicate their relative importance in decision-making. The TOPSIS method is applied to carry out the multicriteria evaluation and selection of the preferable alternative (high-speed system) under given circumstances.

  • high speed rail and Air Passenger Transport a comparison of the operational environmental performance
    Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit, 2003
    Co-Authors: Milan Janic
    Abstract:

    AbstractThis paper presents an overview of the environmental performance of high-speed rail (HSR) and Air Passenger Transport (APT) in the European Union (EU). This performance embraces the direct environmental burdens/emissions such as energy consumption, Air pollution, noise, land-take and land use, safety and congestion.A comparison of the marginal values of particular burdens/emissions and their costs (externalities) is carried out. The results have shown that significant mitigation of the impacts and savings of costs could be achieved by substitution of Air Passenger Transport by high-speed rail. The substitution can be carried out through competition and complementarity of operations of both modes.

Jiuping Xu - One of the best experts on this subject based on the ideXlab platform.

  • carbon emission allowance allocation with a mixed mechanism in Air Passenger Transport
    Journal of Environmental Management, 2017
    Co-Authors: Jiuping Xu, Ziqiang Zeng
    Abstract:

    Abstract Air Passenger Transport carbon emissions have become a great challenge for both governments and Airlines because of rapid developments in the aviation industry in recent decades. In this paper, a mixed mechanism composed of a cap-and-trade mechanism and a carbon tax mechanism is developed to assist governments in allocating carbon emission allowances to Airlines operating on the routes. Combined this mixed mechanism with an equilibrium strategy, a bi-level multi-objective model is proposed for an Air Passenger Transport carbon emission allowance allocation problem, in which a government is considered as a leader and the Airlines as the followers. An interactive solution approach integrating a genetic algorithm and an interactive evolutionary mechanism is designed to search for satisfactory solutions of the proposed model. A case study is then presented to show its practicality and efficiency in mitigating carbon emissions. Sensitivity analyses under different tradable and taxable levels are also conducted, which can give the government insights as to the tradeoffs between lowering carbon intensity and improving Airlines' operations. The computational results demonstrate that the mixed mechanism can assist greatly in carbon emission mitigation for Air Passenger Transport and therefore, it should be established as part of Air Passenger Transport carbon emission policies.

  • carbon emission allowance allocation with cap and trade mechanism in Air Passenger Transport
    Journal of Cleaner Production, 2016
    Co-Authors: Jiuping Xu, Chengwei Lv
    Abstract:

    Abstract With the rapid development of the aviation industry over the last decade, carbon emissions in Air Passenger Transport have become an increasing concern. By combining the equilibrium strategy with a cap and trade mechanism, this paper proposes a bi-level multi-objective model for carbon emission allowance allocations in Air Passenger Transport, in which a government and Airlines are considered as the leader and follower decision makers respectively. Compared with previous studies, this model has the ability to describe the interactions of multiple stakeholders and balance their conflicts. To solve the proposed model, a solution method which integrates an interactive evolutionary mechanism and a fuzzy logic controlled genetic algorithm is developed. Then a numerical example is provided to demonstrate the practical applicability and effectiveness of the method for carbon emission mitigation. Results show that the cap and trade mechanism plays a vital role in mitigating Air Passenger Transport carbon emissions and thus it should be effectively applied to Air Passenger Transport. Results of carbon emission allowance allocations also indicate that the proposed method can provide efficient ways of mitigating carbon emissions for Air Passenger Transport, and therefore assisting decision makers in formulating relevant strategies under multiple scenarios.

Rui Qiu - One of the best experts on this subject based on the ideXlab platform.

  • carbon tax incentive policy towards Air Passenger Transport carbon emissions reduction
    Transportation Research Part D-transport and Environment, 2020
    Co-Authors: Rui Qiu, Ziqiang Zeng, Heping Xie
    Abstract:

    Abstract With the rapid expansion of the aviation industry, Air Passenger Transport fossil fuel consumption and carbon emissions have attracted increasing attention. To reduce fossil fuel consumption and carbon emissions, this paper investigates an Air Passenger Transport carbon tax incentive policy setting problem, in which the carbon tax incentive policy includes a carbon tax and competitive tax rebates. Then a bi-level programming model is proposed to solve this problem. An interactive solution approach combining a genetic algorithm with fuzzy logic controllers is developed to find solutions based on the ICAO and Airlines related data. The results indicate that the incentive policy could encourage Airlines to improve fuel consumption and emission performance under proper conditions. Besides, the government should effectively control the carbon tax incentive level based on application effect and financial support, and Airlines could select proper improvement strategies and carbon tax transfer ratios under the incentive policy.

  • tripartite equilibrium strategy for a carbon tax setting problem in Air Passenger Transport
    Environmental Science and Pollution Research, 2018
    Co-Authors: Rui Qiu, Zhimiao Tao, Heping Xie
    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.

Chengwei Lv - One of the best experts on this subject based on the ideXlab platform.

  • carbon emission allowance allocation with cap and trade mechanism in Air Passenger Transport
    Journal of Cleaner Production, 2016
    Co-Authors: Jiuping Xu, Chengwei Lv
    Abstract:

    Abstract With the rapid development of the aviation industry over the last decade, carbon emissions in Air Passenger Transport have become an increasing concern. By combining the equilibrium strategy with a cap and trade mechanism, this paper proposes a bi-level multi-objective model for carbon emission allowance allocations in Air Passenger Transport, in which a government and Airlines are considered as the leader and follower decision makers respectively. Compared with previous studies, this model has the ability to describe the interactions of multiple stakeholders and balance their conflicts. To solve the proposed model, a solution method which integrates an interactive evolutionary mechanism and a fuzzy logic controlled genetic algorithm is developed. Then a numerical example is provided to demonstrate the practical applicability and effectiveness of the method for carbon emission mitigation. Results show that the cap and trade mechanism plays a vital role in mitigating Air Passenger Transport carbon emissions and thus it should be effectively applied to Air Passenger Transport. Results of carbon emission allowance allocations also indicate that the proposed method can provide efficient ways of mitigating carbon emissions for Air Passenger Transport, and therefore assisting decision makers in formulating relevant strategies under multiple scenarios.