Predominately Red-Light camera communities tend to be dominated by young to middle age, low-income individuals who are generally renters as opposed to homeowners. As supported by the numerous studies, these individuals are most likely to be involved in red-light traffic violations and therefore hold the largest probability of producing finical revenues for the city of San Diego.
This study outlines and examines the location and the placement of traffic management systems, specifically “Red-light Cameras” within the San...
This study outlines and examines the location and the placement of traffic management systems, specifically “Red-light Cameras” within the San Diego region in relation to racial, ethnic, and socio economic demographics. Current research on such traffic management systems suggest that cities may enact systems simply for their financial incentives, targeting communities that contain the most profitable demographics. This raises three fundamental problems: initially the municipalities true intentions that underline the implementation of these management systems, the repercussions of these systems on target demographics, and if these systems hold any positive effects on traffic management and safety beyond their potential for financial gain. This study outlines a research strategy aimed at addressing these three problems. Specifically, the study researches “Red Light” intersections within the San Diego region and examines demographic correlations within the sounding communities. The research contributes to the literature on public health and safety as well as social justice and equality. The information presented within this study has been collected from a variety of sources, including but not limited to, scholarly writings, governmental statistical data, and interviews. This study finds that a strong correlation between community demographics and the implementation of traffic management systems exists. Although these correlations do exist, they are not exclusive and may hold the potential for alternative explanations.