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External Economic Costs of Intelligent Urban Transportation Systems: A Method to Evaluate the Externalities of Comparative Technology Adoption Pathways in the Urban Mobility Service Sector

机译:智能城市交通系统的外部经济成本:一种评估城市出行服务业中比较技术采用途径外部性的方法

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摘要

By 2050, urban mobility demands will increase to 2.6 times the current level, even faster than the urban population growth. Current urban transportation plans fail to address these rapidly increasing urban mobility demands. Inefficient urban transportation generates great economic losses in traffic congestion, air pollution and climate change.;The current urban transportation pressure and emerging technology-driven trends have revolutionized how industry players respond to changing consumer behavior, develop partnerships, and drive transformational changes. A transition (P2S) from current product-based competition to a marketplace focused on mobility services is expected. Electric vehicles, automated driving systems and mobility-sharing platforms are introduced to provide mobility services by market-agents in the P2S transition.;The adoption of these technologies has proven to be beneficial in simulations. In reality, externalities occur when introducing disruptive technologies into a marketplace with the absence of instrumental institutions (non-market agents). However, all agents fail to evaluate the economic impacts of different technology adoption pathways at the mass-adoption scale.;The method proposed in this research contains: (1) a resource-demand view framework to capture multiple technology adoption pathways in the P2S transition (2) scenario designs that integrate electric vehicle technology, automated driving systems, and mobility sharing platforms in one or several combinations (3) a set of economic externality models to evaluate the costs of traffic congestion, human health impact, and climate change resulting from each variation.;This dissertation is an informative comparative study that demonstrates the externalities (social economic impacts) of different sets of technology adoptions in urban mobility. Regulators can utilize the method while funding research and designing regulations for disruptive automotive technologies. The method also provides a platform for market-agents to quantify the economic impact of new product designs in the mobility marketplace.
机译:到2050年,城市交通需求将增加到当前水平的2.6倍,甚至快于城市人口的增长。当前的城市交通计划未能解决这些快速增长的城市交通需求。效率低下的城市交通在交通拥堵,空气污染和气候变化方面造成了巨大的经济损失。;当前的城市交通压力和新兴的技术驱动趋势已经改变了行业参与者应对不断变化的消费者行为,建立合作伙伴关系并推动变革的方式。预计(P2S)从当前基于产品的竞争向专注于移动服务的市场过渡。引入了电动汽车,自动驾驶系统和移动共享平台,以在P2S过渡中由市场代理商提供移动服务。事实证明,采用这些技术在模拟中是有益的。实际上,在没有工具性机构(非市场代理人)的情况下将破坏性技术引入市场时会发生外部性。但是,所有代理都无法在大规模采用规模上评估不同技术采用途径的经济影响。;本研究中提出的方法包括:(1)资源需求视图框架,以捕获P2S过渡中的多种技术采用途径(2)将电动汽车技术,自动驾驶系统和出行共享平台整合为一种或几种组合的方案设计(3)一组经济外部性模型,以评估交通拥堵,人类健康影响和气候变化导致的成本本论文是一项内容丰富的比较研究,表明了城市交通中不同技术采用的不同集合(社会经济影响)。监管机构可以在为颠覆性汽车技术的研究和设计法规提供资金的同时利用该方法。该方法还为市场代理商提供了一个平台,以量化新产品设计在移动市场中的经济影响。

著录项

  • 作者

    Sun, Jianan.;

  • 作者单位

    Clemson University.;

  • 授予单位 Clemson University.;
  • 学科 Transportation.;Economics.;Urban planning.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 223 p.
  • 总页数 223
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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