Literature DB >> 9370016

Crash reductions related to traffic signal removal in Philadelphia.

B Persaud1, E Hauer, R Retting, R Vallurupalli, K Mucsi.   

Abstract

The effect on intersection crashes of converting one-way street intersections in Philadelphia from signal to multiway stop sign control was estimated. Using crash and traffic volume data for a comparison group, regression models were computed to represent the normal crash experience of signal controlled intersections of one-way streets, by impact type, as a function of traffic volume. An empirical Bayesian procedure was used to estimate what would have been the expected number of crashes at the converted intersections had they not been converted. The empirical Bayesian estimates were compared with actual counts of crashes after conversion. Estimates were obtained for different classes of crashes categorized by impact type, day/night condition, and impact severity. Aggregate results indicate that replacing signals by multiway stop signs on one-way streets is associated with a reduction in crashes of approximately 24%, combining all severities, light conditions, and impact types.

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Year:  1997        PMID: 9370016     DOI: 10.1016/s0001-4575(97)00049-3

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  3 in total

Review 1.  A review of evidence-based traffic engineering measures designed to reduce pedestrian-motor vehicle crashes.

Authors:  Richard A Retting; Susan A Ferguson; Anne T McCartt
Journal:  Am J Public Health       Date:  2003-09       Impact factor: 9.308

2.  Multilevel models for evaluating the risk of pedestrian-motor vehicle collisions at intersections and mid-blocks.

Authors:  D Alex Quistberg; Eric J Howard; Beth E Ebel; Anne V Moudon; Brian E Saelens; Philip M Hurvitz; James E Curtin; Frederick P Rivara
Journal:  Accid Anal Prev       Date:  2015-09-01

3.  Interventions to reduce pedestrian road traffic injuries: A systematic review of randomized controlled trials, cluster randomized controlled trials, interrupted time-series, and controlled before-after studies.

Authors:  Stellah Namatovu; Bonny Enock Balugaba; Kennedy Muni; Albert Ningwa; Linda Nsabagwa; Fredrick Oporia; Arthur Kiconco; Patrick Kyamanywa; Milton Mutto; Jimmy Osuret; Eva A Rehfuess; Jacob Burns; Olive Kobusingye
Journal:  PLoS One       Date:  2022-01-24       Impact factor: 3.240

  3 in total

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