Valerian Kwigizile
Has grant
Professor
Research Interests
Explore related searches
Contact this professor
Get a free first email built on one of their papers, ready for you to edit and send yourself.
About
Valerian Kwigizile is a Professor at Western Michigan University in the United States. His research areas include transportation safety, automated feature recognition in crash diagrams, and the impact of smart devices on traffic management systems. He has contributed to various studies assessing pedestrian safety, fleet efficiency, and economic implications of traffic signage, utilizing advanced analytical techniques.
Recent Grants
Grant: Open
Strategies to Reach the Last U.S. Seat Belt Use Holdouts
Open Date: 2024-09-01
Close Date: 2027-03-01
Grant: Close
Evaluation of MDOT's Methodology for Estimating Work Zone User Delay Times & Costs
Open Date: 2023-05-01
Close Date: 2026-02-01
Grant: Close
Examination of Lighting Practices at Crosswalks Corridors
Open Date: 2023-04-01
Close Date: 2025-01-01
Grant: Close
Effective Pedestrian/Non-Motorized Crossing Enhancements Along Higher Speed Corridors
Open Date: 2021-10-01
Close Date: 2023-09-01
Grant: Close
Competitive Bidding in Construction Contracting
Open Date: 2021-01-01
Close Date: 2022-09-01
Articles (10)
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Recently, there has been a large increase in fatal pedestrian crashes that occur at night in the United States of America. In the state of Michigan, for the past 11 years (2011–2021), 76% of all fatal pedestrian crashes occurred at night. With the Toward Zero Death national strategy, identifying the presence of disparities by population characteristics in pedestrian nighttime crashes will enable better allocation of resources to the overrepresented segments of the population and enable the implementation of focused countermeasures to improve the safety of everyone. This study, therefore, aims to investigate the racial and poverty status disparities associated with pedestrian nighttime crashes in Michigan. Pedestrian nighttime crashes from 2011 to 2021 were aggregated at a census tract level. Demographic, socioeconomic, and built environment data were included at a census tract level. The negative binomial model was used to identify whether the racial makeup and economic status of census tracts are significantly associated with the increase in pedestrian nighttime crashes. Results show that census tracts where the majority of people are Black are associated with a 20% increase in pedestrian nighttime crashes. Moreover, poor tracts are associated with a 40% increase in pedestrian nighttime crashes. It was revealed that crashes recorded by police officers as “dark unlighted” are concentrated more in poor census tracks. Also, dark unlighted crashes were more concentrated in a census tract where a majority of the residents identify as Black compared with the majority of residents who identify as White. The use of LED lighting is recommended to improve pedestrian visibility at night.
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Collaborators (5)
Priyanka Alluri
Associate Professor
Florida International University
Ron Van Houten
Western Michigan University
Jun-Seok Oh
Professor
Western Michigan University
Norran Novat
Graduate Teaching and Research assistant
Western Michigan University
Zachary Asher
Assistant Professor
Western Michigan University
Make your next move.
Prepare your application
Review drafts before you send them.