Impacts of Connected Vehicles and Automated Vehicles on State and Local Transportation Agencies--Task-Order Support. Mobility-on-Demand and Automated Driving Systems: A Framework for Public-Sector Assessment

A wide variety of mobility-on-demand (MOD) services have developed and proliferated in recent years. They include carsharing, bikesharing, microtransit, transportation network companies (TNCs), and many others. Public agencies and governments are being approached by MOD providers and must determine whether and under what circumstances (including regulations) these services should be encouraged or allowed in their jurisdictions. Community expectations can bring significant pressure on the public sector for expedited approval. At the same time, automated driving systems (ADS) are becoming more available in all modes of transportation and have potentially revolutionary implications throughout the transportation system. Where MOD is a key enabler of disruptive changes in transportation across all modes (surface, air, and maritime), the convergence of ADS and MOD looks to enable further disruption in both passenger and freight transportation. Accelerated and dynamic research approaches are needed to help close the gap between technological development, public policy-making activity, and deployment. MOD and ADS are continually evolving and market penetration rates will be inconsistent among regions. Many agencies lack the expertise, resources, and tools to perform evaluations of MOD services or to thoroughly assess propositions. A consistent framework is needed so that potential impacts on transportation policy are considered and alternative approaches can be compared. The objective of this research is to establish a framework to assess the effects of MOD services and ADS on transportation demand and supply and the broader economic and societal ecosystem. The framework should be developed with the intent of informing relevant standards development organizations. The framework should focus on the needs of transportation agencies at the state, regional, and local levels; it should also have relevance beyond transportation, including environmental impacts, information technology management (e.g., rights-of-way and radio spectrum allocation for telecommunications), land use planning, economic development, and social welfare. While targeted to agencies, the framework should also be relevant to private sector and research audiences. The framework should identify a common vocabulary, policy considerations, and potential metrics for both public and private interests in the deployment of emerging technologies and service models in transportation. The framework will also include a toolkit to facilitate the application of model principles and methods for the planning, deployment, and evaluation of MOD services and ADS. Use of the framework should provide a public agency and private providers a basis for negotiations and subsequent monitoring of MOD services and ADS. In principle, successful use of the framework should accelerate delivery of public benefits and curtail potential societal harms of MOD services and ADS.


  • English


  • Status: Proposed
  • Contract Numbers:

    Project 20-102(11)

  • Sponsor Organizations:

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Parker, Stephan

  • Start Date: 20180315
  • Expected Completion Date: 0
  • Actual Completion Date: 0
  • Source Data: RiP Project 41005

Subject/Index Terms

Filing Info

  • Accession Number: 01607612
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 20-102(11)
  • Files: TRB, RiP
  • Created Date: Aug 12 2016 1:00AM