Diana Marcela Martínez-Ruíz1, Andrés Fandiño-Losada2, Antonio Ponce de Leon3, David Arango-Londoño4, Julio Cesar Mateus5, Ciro Jaramillo-Molina6, Francisco Javier Bonilla-Escobar7, Harvy Vivas8, Ward Vanlaar9, María Isabel Gutiérrez-Martínez10. 1. Cisalva Institute, Universidad del Valle, Cali, Colombia. Electronic address: diana.martinez.ruiz@correounivalle.edu.co. 2. Cisalva Institute, Universidad del Valle, Cali, Colombia; School of Public Health, Universidad del Valle, Cali, Colombia. Electronic address: carlos.fandino@correounivalle.edu.co. 3. Social Medicine Institute, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil. Electronic address: antonio.ponce.leon@gmail.com. 4. Cisalva Institute, Universidad del Valle, Cali, Colombia; School of Natural Sciences and Mathematics, Pontificia Universidad Javeriana, Cali, Colombia. Electronic address: david.arango@javerianacali.edu.co. 5. School of Public Health, Universidad del Valle, Cali, Colombia; Student of Doctoral Program in Health, School of Health, Universidad del Valle, Cali, Colombia. Electronic address: julio.mateus@correounivalle.edu.co. 6. GITTV Research Group, School of Engineering, Universidad del Valle, Cali, Colombia. Electronic address: ciro.jaramillo@correounivalle.edu.co. 7. Cisalva Institute, Universidad del Valle, Cali, Colombia; Institute for Clinical Research Education, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: fjbonillaescobar@gmail.com. 8. GERA Research Group, School of Social Sciences and Economics, Universidad del Valle, Cali, Colombia. Electronic address: harvy.vivas@correounivalle.edu.co. 9. Traffic Injury Research Foundation, Ottawa, Ontario, Canada. Electronic address: wardv@tirf.ca. 10. Cisalva Institute, Universidad del Valle, Cali, Colombia; School of Public Health, Universidad del Valle, Cali, Colombia. Electronic address: maria.gutierrez@correounivalle.edu.co.
Abstract
INTRODUCTION: Cameras for detecting traffic violations have been used as a measure to improve road safety in different countries around the world. In Cali, Colombia, fixed cameras were installed in March 2012 on a number of roads and intersections. All camera devices are capable of detecting simultaneously the following traffic violations: driving over the speed limit, running a red light or stop sign, violation of the traffic ban schedule, and blocking the pedestrian crosswalk. OBJECTIVE: To evaluate the impact of camera enforcement of traffic violations in Cali, Colombia. METHODS: A quasi-experimental difference-in-differences study with before and after measurements and a comparison group was conducted. We observed 38 intervention areas and 50 comparison areas (250 m radius), during 42 months before and 34 months after the installation of cameras. Effects were estimated with mixed negative binomial regression models. RESULTS: In intervention areas, after 12 months, there was a reduction of 19.2% of all crashes and a 24.7% reduction of injury and fatal crashes. In comparison areas, this reduction was 15.0% for all crashes and 20.1% for injury and fatal crashes. After adjusted comparisons, intervention sites outperformed comparison sites with an additional yearly reduction of 5.3% (p = 0.045) for all crashes. CONCLUSIONS: The use of cameras for detecting traffic violations seems to have a positive effect on the reduction of crashes in intervention areas. A beneficial spillover effect was found as well in comparison areas; but more evaluations are needed.
INTRODUCTION: Cameras for detecting traffic violations have been used as a measure to improve road safety in different countries around the world. In Cali, Colombia, fixed cameras were installed in March 2012 on a number of roads and intersections. All camera devices are capable of detecting simultaneously the following traffic violations: driving over the speed limit, running a red light or stop sign, violation of the traffic ban schedule, and blocking the pedestrian crosswalk. OBJECTIVE: To evaluate the impact of camera enforcement of traffic violations in Cali, Colombia. METHODS: A quasi-experimental difference-in-differences study with before and after measurements and a comparison group was conducted. We observed 38 intervention areas and 50 comparison areas (250 m radius), during 42 months before and 34 months after the installation of cameras. Effects were estimated with mixed negative binomial regression models. RESULTS: In intervention areas, after 12 months, there was a reduction of 19.2% of all crashes and a 24.7% reduction of injury and fatal crashes. In comparison areas, this reduction was 15.0% for all crashes and 20.1% for injury and fatal crashes. After adjusted comparisons, intervention sites outperformed comparison sites with an additional yearly reduction of 5.3% (p = 0.045) for all crashes. CONCLUSIONS: The use of cameras for detecting traffic violations seems to have a positive effect on the reduction of crashes in intervention areas. A beneficial spillover effect was found as well in comparison areas; but more evaluations are needed.
Authors: Yalisma Andrea Giraldo; José Luis Castro; Maria A Tovar-Sánchez; Annora A Kumar; Sara G Pacichana-Quinayáz; Francisco J Bonilla-Escobar Journal: Spinal Cord Ser Cases Date: 2021-05-25
Authors: Maryam Tavakkoli; Zahra Torkashvand-Khah; Günther Fink; Amirhossein Takian; Nino Kuenzli; Don de Savigny; Daniel Cobos Muñoz Journal: Public Health Rev Date: 2022-02-21