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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Impact of automated photo enforcement of vehicle speed in school zones: interrupted time series analysis
Injury prevention, v 25(5), pp 400-406
Oct 2019
PMID: 30279165
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
ObjectiveMeasure the impact of automated photo speed enforcement in school zones on motorist speed and speeding violation rates during school travel.MethodsAutomated enforcement cameras, active during school commuting hours, were installed around four elementary schools in Seattle, Washington, USA in 2012. We examined the effect of automated enforcement on motorist speeds and speed violation rates during the citation period (10 December 2012 to 15 January 2015) compared with the ‘warning’ period (1 November to 9 December 2012). We evaluated outcomes with an interrupted time series approach using multilevel mixed linear regression.ResultsMotorist speed violation rates decreased by nearly half in the citation period compared with the warning period (standardised incident rate ratio 0.53, 95% CI 0.42 to 0.66). The hourly maximum violation speed and mean hourly speeds decreased 2.1 MPH (95% CI –2.88 to –1.39) and 1.1 MPH (95% CI –1.64 to – 0.60), respectively. The impact of automated enforcement was sustained during the second year of implementation.ConclusionAutomated photo enforcement of speed limit in school zones was effective at reducing motorist speed violations and also achieved a significant reduction in mean motorist speed.
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Details
- Title
- Impact of automated photo enforcement of vehicle speed in school zones: interrupted time series analysis
- Creators
- D Alex Quistberg - University of WashingtonLeah L Thompson - University of WashingtonJames Curtin - Seattle Department of TransportationFrederick P Rivara - Harborview Injury Prevention and Research CenterBeth E Ebel - Harborview Injury Prevention and Research Center
- Publication Details
- Injury prevention, v 25(5), pp 400-406
- Publisher
- British Medical Journal (BMJ)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000489314800009
- Scopus ID
- 2-s2.0-85054485178
- Other Identifier
- 991019168644704721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health