Emission trading scheme for emission reduction and equity promotion in multimode networks with heterogeneous users

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY
Wenyi Zhang , Hualing Ren , Zaihan Gao , Jiancheng Long , Ziyou Gao
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引用次数: 0

Abstract

Air pollution caused by high transport-related emissions is already a serious problem, whereas user heterogeneity results in most of the existing emission reduction instruments cannot being applied in practice, despite reducing social inequity. In this paper, we propose an emission trading scheme (ETS) based on a dual-market mechanism in a multimode network with heterogeneous users in value of time (VOT), in order to primarily achieve the objective of emission reduction while taking equity promotion into account. Specifically, emission permits are issued in the primary market and travelers trade permits freely in the secondary market by bearing transaction cost which are assumed to be asymmetrically split between buyers and sellers. The High-Occupancy-Vehicle-based cyclic carbon emission permit (HOV-based CCEP) scheme is applied in the ETS as permit charges to better achieve the objectives. Unlike the previous studies of charging scheme, the compensatory permit rates in our model could be charged from private car (PC) passengers, waived for customized bus (CB) passengers and subsidized for public transit (PT) passengers. The market trading processes considering transaction cost and travel choice behaviors are formulated as a variational inequality problem (VIP). The multimode equilibrium solution of which is obtained by developing a relaxation algorithm with a multi-round iteration strategy. Finally, we conduct numerical experiments based on Braess and Sioux Falls networks to demonstrate the merits of the proposed model and reveal the results that highlight the importance of ETS and multiple public transport modes in the heterogeneous system for emission reduction and equity promotion.

异构用户多模网络中减排和促进公平的排放交易方案
与交通相关的高排放所造成的空气污染已经是一个严重问题,而用户的异质性导致现有的大多数减排手段无法在实践中应用,尽管可以减少社会不公平现象。在本文中,我们提出了一种基于双市场机制的排放交易计划(ETS),该计划适用于具有时间价值(VOT)异构用户的多模网络,以主要实现减排目标,同时兼顾促进公平。具体来说,排放许可证在一级市场发放,旅行者在二级市场自由交易许可证,承担交易成本,假定交易成本在买卖双方之间非对称分摊。为了更好地实现目标,碳排放交易计划中采用了基于高承载量车辆的循环碳排放许可(HOV-based CCEP)方案作为许可收费。与以往的收费方案研究不同,在我们的模型中,补偿性许可费率可向私家车(PC)乘客收取,对定制公交(CB)乘客免收,对公共交通(PT)乘客给予补贴。考虑到交易成本和出行选择行为的市场交易过程被表述为一个变式不等式问题(VIP)。通过开发一种多轮迭代策略的松弛算法,可以得到该问题的多模式均衡解。最后,我们基于 Braess 和 Sioux Falls 网络进行了数值实验,以证明所提模型的优点,并揭示了结果,这些结果凸显了 ETS 和多种公共交通模式在异构系统中对于减排和促进公平的重要性。
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来源期刊
CiteScore
15.80
自引率
12.00%
发文量
332
审稿时长
64 days
期刊介绍: Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.
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