Vehicle electrification is one of the emerging and potentially disruptive technologies that are being considered to reduce emissions of criteria pollutants, mobile source air toxics (MSATs), and greenhouse gases (GHGs) from motor vehicles.
The TRB National Cooperative Highway Research Program's NCHRP Web-Only Document 274: Zero Emission Vehicles: Forecasting Fleet Scenarios and their Emissions Implications analyzes a set of scenarios of infrastructure development, policy changes, and cost parameters, with a suite of 49 simulations across those scenarios conducted to assess their impact on nationwide zero emission vehicle (ZEV) adoption and the corresponding levels of exhaust emissions.
The model used in the scenarios analysis is a consumer choice model that estimates future sales, populations, and fuel consumption of advanced technology vehicles (ATVs), including ZEVs.
There is also a Power Point presentation accompanying the document.
Table of Contents
|NCHRP Web-Only Document 274: Zero Emission Vehicles: Forecasting Fleet Scenarios and their Emissions Implications||1-1|
|CHAPTER 1 Background and Approach||12-13|
|CHAPTER 2 Brief Literature Review to Support Modeling Scenario Development||14-31|
|CHAPTER 3 Analysis Scenarios||32-36|
|CHAPTER 4 Modeling Assumptions and Results||37-76|
|CHAPTER 5 Conclusions and Suggested Research||77-79|
|APPENDIX A Supplemental Data||90-109|
The National Academies Press and the Transportation Research Board have partnered with Copyright Clearance Center to offer a variety of options for reusing our content. You may request permission to:
For most Academic and Educational uses no royalties will be charged although you are required to obtain a license and comply with the license terms and conditions.
For information on how to request permission to translate our work and for any other rights related query please click here.
For questions about using the Copyright.com service, please contact:
Copyright Clearance Center
22 Rosewood Drive
Danvers, MA 01923
Tel (toll free): 855/239-3415 (select option 1)
Loading stats for Zero Emission Vehicles: Forecasting Fleet Scenarios and their Emissions Implications...