Booth Id:
BEHA006
Category:
Behavioral and Social Sciences
Year:
2025
Finalist Names:
Du, Nick (School: Bartlesville High School)
Abstract:
Motor vehicle speeds were measured on five residential streets in different
neighborhoods of Bartlesville, Oklahoma, to evaluate whether certain street and
neighborhood characteristics may reduce speeding. In this study, speeds of one
hundred motor vehicles were collected for each street (having the same speed
limit). Speeds were collected during the same daylight hours and dry weather
conditions. Correlation analysis and generalized linear regression results show that
narrower street width, a higher number of driveways and intersections, and
overhanging trees, may contribute to lower motor vehicle speeds and reduce
neighborhood speeding. Dewey Ave had significantly lower motor vehicle speeds
than the other four streets. Dewey Ave has a traditional grid pattern
neighborhood design while the other streets with high motor vehicle speeds have
a loop, lollipops (cul-de-sacs), and/or branching tree-like neighborhood design.
These results suggest that grid pattern neighborhood design may help control
speeding compared to modern loop, lollipops (cul-de-sacs), and branch
neighborhood design.
Awards Won: