Effects of demolishing abandoned buildings on firearm violence: a moderation analysis using aerial imagery and deep learning. Issue 3 (7th December 2021)
- Record Type:
- Journal Article
- Title:
- Effects of demolishing abandoned buildings on firearm violence: a moderation analysis using aerial imagery and deep learning. Issue 3 (7th December 2021)
- Main Title:
- Effects of demolishing abandoned buildings on firearm violence: a moderation analysis using aerial imagery and deep learning
- Authors:
- Jay, Jonathan
de Jong, Jorrit
Jimenez, Marcia P
Nguyen, Quynh
Goldstick, Jason - Abstract:
- Abstract : Purpose: Demolishing abandoned buildings has been found to reduce nearby firearm violence. However, these effects might vary within cities and across time scales. We aimed to identify potential moderators of the effects of demolitions on firearm violence using a novel approach that combined machine learning and aerial imagery. Methods: Outcomes were annual counts of fatal and non-fatal shootings in Rochester, New York, from 2000 to 2020. Treatment was demolitions conducted from 2009 to 2019. Units of analysis were 152×152 m grid squares. We used a difference-in-differences approach to test effects: (A) the year after each demolition and (B) as demolitions accumulated over time. As moderators, we used a built environment typology generated by extracting information from aerial imagery using convolutional neural networks, a deep learning approach, combined with k -means clustering. We stratified our main models by built environment cluster to test for moderation. Results: One demolition was associated with a 14% shootings reduction (incident rate ratio (IRR)=0.86, 95% CI 0.83 to 0.90, p<0.001) the following year. Demolitions were also associated with a long-term, 2% reduction in shootings per year for each cumulative demolition (IRR=0.98, 95% CI 0.95 to 1.00, p=0.02). In the stratified models, densely built areas with higher street connectivity displayed following-year effects, but not long-term effects. Areas with lower density and larger parcels displayedAbstract : Purpose: Demolishing abandoned buildings has been found to reduce nearby firearm violence. However, these effects might vary within cities and across time scales. We aimed to identify potential moderators of the effects of demolitions on firearm violence using a novel approach that combined machine learning and aerial imagery. Methods: Outcomes were annual counts of fatal and non-fatal shootings in Rochester, New York, from 2000 to 2020. Treatment was demolitions conducted from 2009 to 2019. Units of analysis were 152×152 m grid squares. We used a difference-in-differences approach to test effects: (A) the year after each demolition and (B) as demolitions accumulated over time. As moderators, we used a built environment typology generated by extracting information from aerial imagery using convolutional neural networks, a deep learning approach, combined with k -means clustering. We stratified our main models by built environment cluster to test for moderation. Results: One demolition was associated with a 14% shootings reduction (incident rate ratio (IRR)=0.86, 95% CI 0.83 to 0.90, p<0.001) the following year. Demolitions were also associated with a long-term, 2% reduction in shootings per year for each cumulative demolition (IRR=0.98, 95% CI 0.95 to 1.00, p=0.02). In the stratified models, densely built areas with higher street connectivity displayed following-year effects, but not long-term effects. Areas with lower density and larger parcels displayed long-term effects but not following-year effects. Conclusions: The built environment might influence the magnitude and duration of the effects of demolitions on firearm violence. Policymakers may consider complementary programmes to help sustain these effects in high-density areas. … (more)
- Is Part Of:
- Injury prevention. Volume 28:Issue 3(2022)
- Journal:
- Injury prevention
- Issue:
- Volume 28:Issue 3(2022)
- Issue Display:
- Volume 28, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 28
- Issue:
- 3
- Issue Sort Value:
- 2022-0028-0003-0000
- Page Start:
- 249
- Page End:
- 255
- Publication Date:
- 2021-12-07
- Subjects:
- violence -- environmental modification -- statistical Issues -- urban -- firearm
Children's accidents -- Prevention -- Periodicals
Accidents -- Prevention -- Periodicals
617.1 - Journal URLs:
- http://ip.bmjjournals.com ↗
http://www.injuryprevention.com ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/injuryprev-2021-044412 ↗
- Languages:
- English
- ISSNs:
- 1353-8047
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 21657.xml