Driving Greener Mobility

Last registered on January 31, 2024
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Pre-Trial

Trial Information

General Information

Title
Driving Greener Mobility
RCT ID
AEARCTR-0012905
Initial registration date
January 28, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
January 31, 2024, 12:12 PM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Name
Robert Pickmans
Affiliation
Univerity of California, Berkeley
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Other Primary Investigator(s)

PI Name
Hilary Yu
PI Affiliation
University of California, Berkeley
Contact Investigator

Additional Trial Information

Status
In development
Start date
2024-03-01
End date
2025-04-01
Keywords
Environment & Energy
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Electric mobility options are expanding in developing countries, particularly so in Sub-Saharan Africa. E-moto (electric motorcycle) taxi drivers who rely on charging technology for refuelling must charge at stations that are spread out across locations, where the supply for charging may differ by station, and where drivers may have preferences over where to refuel and how long their e-motos may last on the road. In this project we examine the use of incentives to encourage e-moto taxi drivers to drive and refuel differently. We examine differences in driving behavior in the context of driver welfare and for the electric mobility network more comprehensively.
External Link(s)

Registration Citation

Citation
Pickmans, Robert and Hilary Yu. 2024. "Driving Greener Mobility." AEA RCT Registry. January 31. https://doi.org/10.1257/rct.12905-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-03-01
Intervention End Date
2024-05-01

Primary Outcomes

Primary Outcomes (end points)
charging behavior, driver revenue, driver costs
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
A randomized control trial will be utilized to answer our research questions surrounding the use of refueling technology. Surveys will be conducted to understand the effect of the intervention on economic and driving outcomes.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Treatment will be clustered at the individual level
Sample size: planned number of observations
1000
Sample size (or number of clusters) by treatment arms
500 drivers in control condition, 250 drivers in treatment 1 condition, 250 drivers in treatment 2 condition
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
UC Berkeley Committee for Protection of Human Subjects
IRB Approval Date
2023-09-01
IRB Approval Number
2021-07-14492
Analysis Plan