Supporting decarbonization through vehicle rightsizing, automation, and ride-splitting

Author:

Hawkins Jason,Kockelman KaraORCID

Abstract

Vehicle automation and smartphone app-based ride-splitting are commonly discussed topics in the transportation literature. While these technologies have been examined for their role in transportation decarbonization through simulation study, the motivation for such work is rarely made explicit. In this commentary, we provide a motivation for research in this area based on our own simulation research, as well as land use and vehicle operational factors. Specifically, land use factors such as density and the speed of its adjustment make traditional transit operations using large vehicles cost-prohibitive in most U.S. communities (and many other communities around the world). Automation and ride-splitting technologies may offer digitized transportation solutions that can match vehicle size to local land development density and passenger demand. In addition, we highlight a difference in the supply-demand relationship for freight transportation that causes additional challenges for decarbonizing that sector. Finally, we emphasize that fleet ownership is key to ensuring timely vehicle fleet turnover as safer and more efficient technologies enter the market.

Publisher

OAE Publishing Inc.

Reference31 articles.

1. EPA. Inventory of U.S. greenhouse gas emissions and sinks. 2021. Available from: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks [Last accessed on 22 Dec 2023].

2. United Nations. The weight of cities: resource requirements of future urbanization. 2018. Available from: https://www.resourcepanel.org/reports/weight-cities [Last accessed on 22 Dec 2023].

3. Limb M, Murray C. We zoned for density and got higher house prices: supply and price effects of upzoning over 20 years. 2021. Available from: https://eprints.qut.edu.au/209104/ [Last accessed on 22 Dec 2023].

4. Mawhorter S, Reid C. Local housing policies across California: presenting the results of a new statewide survey. 2018. Available from: https://ternercenter.berkeley.edu/wp-content/uploads/2023/04/Terner_California_Residential_Land_Use_Survey_Report.pdf [Last accessed on 22 Dec 2023].

5. Bureau of Transportation Statistics. U.S. passenger-miles. 2022. Available from: https://www.bts.gov/content/us-passenger-miles [Last accessed on 22 Dec 2023].

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