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Built Environment, Pedestrian Injuries and Deep Learning (BEPIDL) Study

The following grant was awarded by, is supported by, is administered by or is in partnership with the Fogarty International Center at the U.S. National Institutes of Health (NIH).

Funding Fogarty Program

International Research Scientist Development Award (IRSDA)

Project Information in NIH RePORTER

Built Environment, Pedestrian Injuries and Deep Learning (BEPIDL) Study

Principal Institution

Drexel University

Principal Investigator(s) (PI)

Quistberg, Duane Alexander

Project Contact Information

Email: daq26@drexel.edu

Year(s) Awarded

2020-2025

Country

Colombia

Project Description

Roads and neighborhoods with a built environment that support safe and active transportation are a major priority in low- and middle-income countries (LMICs) due to 90% of road traffic deaths occurring in these locations, especially to pedestrians and other vulnerable road users, yet data on key built environment features at a large scale are not always readily available in these settings.

The research uses deep learning and advanced statistical methods to create a citywide dataset of built and social environment features in Bogota, Colombia that will provide crucial data to answer questions of their impact on pedestrian injuries and deaths, as well as assessing the presence of health inequities in their distribution and that will lay the groundwork to expand these efforts to more cities in Latin America and other LMICs.

Related World Regions / Countries

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