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.

EARLY概念探索性研究资助（EAGER）合作研究项目将探索一种新的和有前途的旅行需求管理策略，其灵感来自各种旨在减少温室气体和空气污染物排放的总量管制和交易计划。 交通拥堵继续威胁着世界各地的经济繁荣和生活质量。 众所周知，需求管理策略有助纾缓交通挤塞情况，而且如实施得宜，可发挥效用和符合成本效益。 本研究中考虑的总量管制和交易计划试图将直接的旅行需求限制与交易机制结合起来。由于这种计划通常涉及创建移动信用并在市场上交易，因此也被称为可交易信用计划。 作为对这一想法的早期探索，该项目将直接涉及经济学家，他们将为每一项研究任务提供投入，并作为研究的一部分，将寻求分析工具来回答关键的设计和实施问题。基于代理的模拟将用作拟议分析框架和设计概念的主要评估工具。基于该仿真平台，本研究将比较可交易信用计划与传统的交通需求管理策略（如拥挤定价），并在不同的出行行为假设下验证所提出的方案的有效性和实用性，如果成功，本项目将在交通和经济学之间就限额交易问题搭建一座有意义的桥梁，并分享研究成果，以促进这两个领域的发展。 这项工作可能会改变目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加强对这些政策的选择，并有助于确定这些政策的优先次序。因此，研究将纳入两所大学的教育活动，在交通课程中提供新的材料和案例研究。最后，将通过各种媒体广泛传播研究成果。