Graduation Year
2023
Document Type
Thesis
Degree
M.U.R.P.
Degree Name
Master of Urban & Reg Planning (M.U.R.P.)
Degree Granting Department
School of Public Affairs
Major Professor
Peng Chen, Ph.D.
Committee Member
Zhenyu Wang, Ph.D.
Committee Member
Evangeline Linkous, Ph.D.
Keywords
Demographic Characteristics, Equity, Geospatial Analysis, Nighttime Crash Frequency, Street Lighting
Abstract
For a long time, streetlights have proved to be an effective tool to help users access roads safely. Hindrance to good visibility at nighttime has been attributed to accidents on the road. Florida is considered to have very dangerous roads due to careless driving which increases as nighttime approaches. Much empirical research has contributed to the attention nighttime crashes receive. This study examines the influence of roadway characteristics along with socio-economic factors on crashes through statistical and spatial analysis of roadway segments in Tampa Bay Region. Illuminance data, crash data and socio-economic data for roadways facing nighttime crashes under low-illuminance level (0 – 0.2 fc) were collected and analyzed through simple regression methods and Geographical Information System tools. It was found that the AADT, surface width and education level of people around the study segments had significant influence on the crash frequencies. Various recommendations have been made for counties in this region to guide future investments in this infrastructure.
Scholar Commons Citation
Sugeerappa Hoti, Aditi, "Validating the Correlation Between Illuminance, Nighttime Crash Frequency and Demographic Characteristics on Roadway Segments in District 7, Florida" (2023). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/10093
