Lights,camera, legal action! The effectiveness of red light cameras on collisions in Los Angeles |
| |
| Institution: | 1. Department of Physics, Parisutham Institute of Technology and Science, Thanjavur-613006, Tamilnadu, India;2. A.V.V.M. Sri Pushpam College (Autonomous), Poondi, 613 503, Tamilnadu, India;3. Transport Studies Unit, University of Oxford, Oxford OX1 3QY, UK;1. Interface Science and Engineering in Advanced Materials of Taiyuan University of Technology, Ministry of Education, College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China;2. Department of Physics and Electronic & Information Engineering, Yangtze Normal University, Chongqing 408003, China;1. University of Bahrain, College of Health Sciences, Nursing Department-WHO Collaborating Centre for Nursing Development, P.O. Box: 32038, Salmanya, Bahrain;2. College of Health Sciences, University of Bahrain, PO Box 32038, Salmanya, Bahrain;3. International Training Centre, WHO Collaborating Centre for Nursing Development, College of Health Sciences, University of Bahrain, PO Box 32038, Salmanya, Bahrain;4. South Asian Cochrane Center and Network, Christian Medical College, Vellore, Tamil Nadu, India;1. Universidad de León, Aerospace Engineering Area, Campus de Vegazana s/n, 24071 León, Spain;2. Vrije Universiteit Brussel, Department of Engineering Technology, Campus Kaai, 1070 Brussels, Belgium;3. Universidad de Oviedo, Hydraulic Area, Campus de Barredo s/n, 33600 Mieres (Asturias), Spain |
| |
| Abstract: | This study estimates the effect of red light cameras (henceforth cameras) on collisions under the Los Angeles Automated Photo Enforcement Program that ran from 2006 to 2011. To control for selection bias and unobservables, a data set is constructed such that intersections with cameras are compared to control groups of nearby intersections without cameras, matched on observable characteristics. To capture potential spillover effects of cameras, control groups at various distances from the intersections with cameras are considered. A Poisson panel data model with random coefficients is applied to these data and estimated using Bayesian methods. The program suffered from weaknesses in enforcement. The city’s courts did not uphold citations and this dampened the effect cameras had on drivers. These problems are accounted for in modeling. Controlling for these concerns, results indicate that the cameras decreased red light running related collisions, but increased right-angle and injury collisions, as well as collisions overall. |
| |
| Keywords: | Red-light cameras Intersection crashes Red-light running collisions Bayesian inference Correlated count data Poisson regression |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
