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

doi:10.5703/1288284317569

i

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

File Language:

English

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
Corporate Creators:

Center for Connected and Automated Transportation (CCAT) ; Purdue University
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
Subject/TRT Terms:
Publication/ Report Number:

CCAT Report #28
DOI:

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

Tech Report
Geographical Coverage:

Indiana;United States
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
Download URL:

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

[PDF - 2.80 MB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers
Main Document Checksum:

urn:sha-512:7c9ce871d00572fd90ef62bb48c1a57838cfc9065860464aa790b3a85133e1cf98da691c2cdc0ea793a99a820b7587d33bf4992072faedc291d48130f03701cd

File Language:

English

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