Emerging Issues: Impact of New Disruptive Technologies on the Performance of DOTs
项目名称: Emerging Issues: Impact of New Disruptive Technologies on the Performance of DOTs
摘要: The arrival of the 4th Industrial Revolution and the rapid development and fusion of multiple disruptive and innovative technologies are changing the behavior and the expectations of customers and stakeholders—not only in the United States, but all over the world. The deployment of these technologies—artificial intelligence, big data and digitization, the Internet of Things (IoT), wireless technologies (5G/6G), connected and autonomous vehicle (CAV) technologies, on-demand ride sharing services, Mobility as a Service (MaaS), the sharing economy, and others—is bringing a revolution that will fundamentally alter the way we live, work, relate to one another, and do business. In its scale, scope, and complexity, the transformation is moving at a pace at which governmental entities are not readily prepared. Mobility is also transforming rapidly as new technologies disrupt traditional ways people and goods move throughout the transportation systems. The rapid deployment of mobile internet is upending the traditional approaches with new customer-centric business models based on the sharing economy such as car hailing, bike sharing, scooter sharing, time sharing, customized shuttle bus, parking sharing, etc. While the new business models bring more conveniences and efficiencies to the users and to the national and local economies, they are also creating new challenges and needs that state departments of transportation (DOTs) and other transportation agencies must grapple with as decision-makers. As technology previously foreign to transportation rapidly affects traditional ways of doing business, organizational structure and performance is affected across all modes and aspects of transportation. Institutional processes or procedures may be retooled or adjusted to accommodate updated or more effective methods to improve performance outcomes. These processes or procedures are necessary to help those agencies struggling to define meaningful performance measures, such as managing data collection, maintaining accountability, and streamlining reporting. The objective of this research is to develop a guide for state DOTs and other transportation planning agencies to understand, predict, plan for, and adapt to the potential impacts of emerging disruptive technologies. In preparing this guide, the research should identify issues, effects, and opportunities at the intersection of disruptive transportation technologies and organizational performance for senior managers at state DOTs and other transportation planning agencies; and it should include but not be limited to the following components: (1) Categories of technology disruptors, such as big data, expanding digitization, vehicle and infrastructure technologies, mobility as a service, the sharing economy, mobility of people and goods, alternative travel modes, and communication technologies; (2) New business opportunities or partnerships and collaboration models involving the private and public sectors, as well as impacts on how agencies execute planning and prioritize investments, implement, maintain, manage and operate the transportation system; (3) Roles and responsibilities of federal, state, regional, and local agencies in evaluating, approving, regulating, enforcing, and managing new ways of moving people and goods; and (4) Improving overall customer service, including effects on the transportation system’s ability to provide improved access and mobility for all users. The target audience for this research is practitioners as well as decision-makers at state DOTs and their transportation partner organizations.
状态: Active
资金: 250000
资助组织: National Cooperative Highway Research Program<==>Federal Highway Administration<==>American Association of State Highway and Transportation Officials (AASHTO)
项目负责人: Goldstein, Larry
执行机构: Cambridge Systematics, Incorporated
开始时间: 20200901
预计完成日期: 20220228
主题领域: Data and Information Technology;Highways;Planning and Forecasting
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