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DATA MINING TO IMPROVE PLANNING FOR PED & BICYCLIST SAFETY
-> The VA Tech Transportation Institute released a report of a study that investigated data from multiple sources, including automated pedestrian and bicycle counters, video cameras, crash databases, and GPS/mobile applications, to inform bicycle and pedestrian safety improvements. (Data Mining to Improve Planning for Pedestrian and Bicyclist Safety: http://bit.ly/3aAcdEX) Researchers adopted data mining techniques, a new sampling strategy, and automated video processing methods to demonstrate a holistic approach others can apply to identify facilities with highest need of improvement. They also developed exposure models incorporating explanatory variables from a broad spectrum of data sources to estimate pedestrian and bicyclist counts at intersections.

PED & CYCLIST CRASH RISKS HIGHER IN LESS AFFLUENT NEIGHBORHOODS
-> The University of MN Catalyst reported that a new study found that people in Minneapolis, MN who live in lower-income neighborhoods in which more than half the population is minority face higher pedestrian and bicyclist crash risks than those individuals who live in more affluent, majority-white neighborhoods. (Pedestrian and Bicycle Crash Risk and Equity: Implications for Street Improvement Projects: http://bit.ly/38twWbL) The case study, sponsored by the Roadway Safety Institute, aimed to illustrate how information about crash risk and equity can help transportation managers prioritize investments in street networks. Researchers developed new models of pedestrian and bicycle crash risk, used them to predict crashes at all of the city's intersections and mid-blocks, and used statistical tests to assess how equitably the estimated crash risk is distributed in the city. http://bit.ly/30GttnI

SAFETY EVALUATION OF PEDESTRIAN COUNTDOWN SIGNALS
-> FHWA's Human Environment Digest reported that FHWA published a report that examines the effectiveness of pedestrian countdown signals. (Safety Evaluation of Pedestrian Countdown Signals: http://bit.ly/2SqycaK) The research team collected traffic and crash data at a number of signalized intersections across the US and found that the presence of pedestrian countdown signals helped to reduce the crash rate. Following the implementation of pedestrian countdown signals, total crashes decreased by approximately 8%, rear-end crashes decreased by approximately 12%, and pedestrian crashes decreased by about 9%. The economic analysis revealed a benefit--cost ratio of 23, with a low of 13 and a high of 32. http://bit.ly/38rruWX

BRAKE PAD AIR POLLUTION AS BAD FOR LUNGS AS DIESEL EXHAUST
-> AirQualityNews.com reported that a study published in Metallomics suggested fine particulate matter (PM2.5) originating from brake pads may be just as bad for the lungs as PM2.5 from diesel exhaust. (Brake Dust Exposure Exacerbates Inflammation and Transiently Compromises Phagocytosis in Macrophages: https://rsc.li/2GgyR7m) Brake pad emissions make up a fifth of PM2.5 air pollution at roadsides. Researchers found that it causes inflammation, which harms respiratory health, as well as damaging cells when they enter the lungs. They also believe that brake pad dust could be contributing to coughs and colds suffered by Londoners. http://bit.ly/2twe1hV

E-SCOOTER INJURIES NEARLY TRIPLE IN 4 YEARS
-> AP News reported a study published in JAMA Surgery found electric scooter injuries have surged along with their popularity in the United States, nearly tripling over 4 years. (Electric Scooter Injuries and Hospital Admissions in the United States, 2014-2018: http://bit.ly/38rBmQv) Nearly 40,000 broken bones, head injuries, cuts and bruises resulting from scooter accidents were treated in US emergency rooms from 2014 through 2018, the research showed. The scooter injury rate among the general US population climbed from 6 per 100,000 to 19 per 100,000. Most occurred in riders aged 18 to 34, and most injured riders weren't hospitalized. http://bit.ly/2v4TtgC