Behavioral Intention To Ride in AVs and Impacts on Mode Choice Decisions, Energy Use and GHG Emissions

Gkritza, Konstantina; Gkartzonikas, Christos; Losada-Rojas, Lisa Lorena; Zhang, Zimo; Center for Connected and Automated Transportation (CCAT); Purdue University

doi:10.5703/1288284317569

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Behavioral Intention To Ride in AVs and Impacts on Mode Choice Decisions, Energy Use and GHG Emissions

2022-06-01
By Gkritza, Konstantina ; Gkartzonikas, Christos ; Losada-Rojas, Lisa Lorena ; ...

[PDF-2.80 MB]

English

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Details:

Alternative Title:

Behavioral Intention To Ride in an AV and Implications on Mode Choice Decisions, Energy Use and Emissions
Creators:

Gkritza, Konstantina ; Gkartzonikas, Christos ; Losada-Rojas, Lisa Lorena ; Zhang, Zimo

Gkritza, Konstantina ; Gkartzonikas, Christos ; Losada-Rojas, Lisa Lorena ; Zhang, Zimo Less -
Corporate Creators:

Center for Connected and Automated Transportation (CCAT) ; Purdue University

Center for Connected and Automated Transportation (CCAT) ; Purdue University Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Autonomous Vehicles Behavior Behavioral Experiments Emissions Reduction Energy Consumption Energy Demand Greenhouse Gas Emissions Greenhouse Gases Intelligent Vehicles Intention To Ride In AVs Mode Choice Pollutants
Publication/ Report Number:

CCAT Report #28
DOI:

http://dx.doi.org/10.5703/1288284317569
Resource Type:

Tech Report
Geographical Coverage:

Indiana ; United States

Indiana ; United States Less -
Edition:

Final Report (1/1/18 to 12/31/19)
Corporate Publisher:

University of Michigan. Center for Connected and Automated Transportation
Abstract:

The objective of this project is to examine the potential effects of high-level vehicle automation on energy demand and greenhouse gas (GHG) emissions from vehicles. To achieve this, improved projections of future travel demand and patterns of autonomous vehicles (AVs) were obtained using a stated preference survey distributed in Indianapolis, Indiana, and the associated energy consumption and carbon intensity levels were estimated. Also, a two-stage simulation framework based on an agent-based model was proposed. Different scenarios were designed to examine the impact of the size and composition of fleets of AVs offering single-passenger rides, on GHG emissions, air pollutants, and energy consumption.
Format:

PDF
Funding:

69A3551747105
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:2d20b34880f282ae5e286aa507301e20426112412bd629d2c417b45e93273ad5
Download URL:

https://rosap.ntl.bts.gov/view/dot/72913/dot_72913_DS1.pdf
File Type:

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Behavioral Intention To Ride in AVs and Impacts on Mode Choice Decisions, Energy Use and GHG Emissions

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