Assessment of different pedestrian communication strategies for improving driver behavior at marked crosswalks on free channelized right turns.

Introduction: Previous studies have indicated low driver yielding rates to pedestrians in various countries. This study analyzed four different strategies to improve driver yielding rates at marked crosswalks on channelized right turn lanes at signalized intersections.

Method: A sample of 5,419 drivers was collected for four gestures using field experiments for males and females in the State of Qatar.

ANN-Based traffic volume prediction models in response to COVID-19 imposed measures.

Many countries around the globe have imposed several response measures to suppress the rapid spread of the COVID-19 pandemic since the beginning of 2020. These measures have impacted routine daily activities, along with their impact on economy, education, social and recreational activities, and domestic and international travels. Intuitively, the different imposed policies and measures have indirect impacts on urban traffic mobility.

Transport impacts in Germany and State of Qatar: An assessment during the first wave of COVID-19.

Response measures to contain COVID-19 spread varied from country to country, some imposed a complete lockdown while some imposed partial restrictions. This paper compares the transport impacts of the COVID-19 pandemic for two countries having dissimilar characteristics, Germany and State of Qatar, based on the rates of infection and response measures. Secondary data, obtained from Google mobility reports, and primary data, collected from local agencies, were used for comparison purposes.

Exploring the impacts of COVID-19 on travel behavior and mode preferences.

Various measures were recommended or imposed by the governments to control the spread of COVID-19. Travel behaviors are significantly influenced due to such measures. However, people have various travel needs ranging from grocery shopping to work.

Law enforcement assisted diversion: Qualitative evaluation of barriers and facilitators of program implementation.

Background: Despite widespread interest in adoption, there has been limited systematic examination of Law Enforcement Assisted Diversion (LEAD) implementation, a model for police-led arrest diversion for those with substance use disorders (SUD). In the fall of 2017, the City of New Haven started a LEAD program. During the first 9 months of the pilot, only 2 clients were successfully diverted from arrest.