Using Information and Communication Technologies to Reduce Exposure to Air Pollution in Bogota
Last registered on January 29, 2020

Pre-Trial

Trial Information
General Information
Title
Using Information and Communication Technologies to Reduce Exposure to Air Pollution in Bogota
RCT ID
AEARCTR-0005348
Initial registration date
January 28, 2020
Last updated
January 29, 2020 1:46 PM EST
Location(s)

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Primary Investigator
Affiliation
Inter-American Development Bank
Other Primary Investigator(s)
PI Affiliation
Universidad Autónoma de Nuevo León
PI Affiliation
Inter-American Development Bank
Additional Trial Information
Status
In development
Start date
2020-02-01
End date
2020-06-15
Secondary IDs
Abstract
Many cities and countries invest in air pollution monitoring systems. However, the benefits these systems generate depend critically on how the information that they collect is used by the public. For example, Bogotá, Colombia has a robust monitoring network of over 20 stations with hourly pollutant readings that are available online and through a smartphone application called AIRE BOGOTÁ. Yet the public does not regularly use this information to engage in protective “avoidance” behaviors that would reduce their exposure to air pollution and mitigate its related adverse health effects.

Our study will focus on the provision of air quality information through AIRE BOGOTÁ in the Bogotá metropolitan area, which has chronically poor air quality. We randomly assign participants to treatment and control groups at the level of baseline survey sessions. In baseline survey sessions, the treatment group receives information on air quality and air pollution avoidance behaviors. In addition, they are encouraged to download and install the AIRE BOGOTÁ application. The control group receives encouragement to download and install a placebo application unrelated to air quality. Between the baseline and midline survey sessions, both groups receive email encouragements to interact with the application downloaded in the baseline sessions and to complete a short online survey. We will study the impact of the AIRE BOGOTÁ application on avoidance behavior, environment attitudes captured by an implicit association test, environmental behaviors and policy preferences.
External Link(s)
Registration Citation
Citation
Blackman, Allen, Bridget Hoffmann and Martha Sanchez. 2020. "Using Information and Communication Technologies to Reduce Exposure to Air Pollution in Bogota." AEA RCT Registry. January 29. https://doi.org/10.1257/rct.5348-1.0.
Experimental Details
Interventions
Intervention(s)
Participants in the treatment group will receive an information session during the baseline survey session. That session will provide information about air quality in Bogotá, avoidance behavior recommended by the Bogotá city government, and suggestions on how to use air quality information in decision making. In addition, participants in the treatment group will be encouraged to download the AIRE BOGOTÁ application during the lab session. In baseline survey sessions, the control group will be encouraged to download a placebo application unrelated to air quality. After the baseline survey session, participants in the study will receive regular emails encouraging them to interact with the application downloaded during the baseline survey session and to complete a short online survey.
Intervention Start Date
2020-02-15
Intervention End Date
2020-06-01
Primary Outcomes
Primary Outcomes (end points)
Air pollution information, avoidance behaviors, environmental attitudes
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Beliefs about air pollution trends and levels
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Using a randomized control trial, we will assess the hypothesis that providing individuals relevant information about local air quality affects avoidance behavior and measures of environmental behaviors, attitudes, and policy demand. We will measure changes in avoidance behaviors and environmental behaviors, attitudes, and policy demand through baseline and endline surveys, each of which will include an implicit association test. These surveys will be administered in the University of Rosario’s Rosario Experimental and Behavioral Economics Lab (REBEL).
Experimental Design Details
Not available
Randomization Method
Randomization done in office by computer
Randomization Unit
Laboratory session
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
approximately 40 laboratory sessions (depending on recruitment and schedules)
Sample size: planned number of observations
750-1,000 individuals (depending on recruitment)
Sample size (or number of clusters) by treatment arms
Approximately half the participants will be assigned to the treatment group and half the participants will be assigned to the control group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Innovations for Poverty Action
IRB Approval Date
2019-12-19
IRB Approval Number
#15344