EAGER/Collaborative Research: From Pricing to Cap-and-Trade: Analysis and Design of Quantity-based Approach to Congestion Management

EAGER/协作研究：从定价到总量控制与交易：基于数量的拥塞管理方法的分析和设计

• 批准号: 1256021
• 负责人: Yu Nie
• 金额: $ 10万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-15 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1256021&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; Pricing; Cap

This EArly-Concept Grant for Exploratory Research (EAGER) collaborative research project will explore a new and promising travel demand management strategy, inspired by various cap-and-trade schemes aiming to reduce greenhouse gas and air pollutant emissions. Traffic congestion continues to threaten the economic prosperity and quality of life around the world. It is widely acknowledged that demand management strategies could help alleviate traffic congestion, and if properly implemented, they could be effective and cost-efficient. The cap-and-trade schemes considered in this research seek to couple direct travel demand restrictions with a trading mechanism. Because such a scheme typically involves creating mobility credits and trading them in a market, it is also known as a tradable credit scheme. As an early exploration of this idea, the project will directly involve economists that will provide input to each research task and as part of the research analytical tools to answer critical design and implementation issues will be sought. Agent-based simulation will be used as the main evaluation tool for the proposed analytical framework and design concepts. Based on this simulation platform, the research will compare tradable credit schemes with traditional travel demand management strategies such as congestion pricing, and validate the effectiveness and practicability of the proposed schemes with varying behavioral travel assumptions.If successful, the project could provide a meaningful bridge between transportation and economics on the issue of cap-and-trade and research findings would be shared to advance both fields. The work could shift the current paradigm associated with traffic congestion management policies. The findings from this research could also enhance choices among these policies and help provide for their prioritization. Accordingly, the research will be incorporated in education activities at both universities by offering new materials and case studies within the transportation curricula. Finally, research results will be broadly disseminated through a variety of media.

这项早期探索性研究概念资助 (EAGER) 合作研究项目将受旨在减少温室气体和空气污染物排放的各种限额与交易计划的启发，探索一种新的、有前景的旅行需求管理策略。 交通拥堵继续威胁着世界各地的经济繁荣和生活质量。 人们普遍认为，需求管理策略有助于缓解交通拥堵，如果实施得当，它们可以是有效且具有成本效益的。 本研究中考虑的限额与交易计划旨在将直接旅行需求限制与交易机制结合起来。由于此类计划通常涉及创建流动信贷并在市场上进行交易，因此也称为可交易信贷计划。 作为对这一想法的早期探索，该项目将直接让经济学家参与，他们将为每项研究任务提供投入，并作为研究分析工具的一部分来寻求回答关键设计和实施问题。基于代理的仿真将用作所提出的分析框架和设计概念的主要评估工具。基于该模拟平台，研究将可交易信贷方案与拥堵定价等传统出行需求管理策略进行比较，并在不同的行为出行假设下验证所提出方案的有效性和实用性。如果成功，该项目可以提供一个有意义的桥梁交通运输和经济学之间就总量控制与交易问题开展合作，并共享研究成果，以推动这两个领域的发展。 这项工作可能会改变当前与交通拥堵管理政策相关的范式。这项研究的结果还可以增强这些政策的选择并有助于确定其优先顺序。因此，该研究将通过在交通课程中提供新材料和案例研究来纳入两所大学的教育活动。最后，研究成果将通过多种媒体广泛传播。