Jerry Everett
University of Tennessee
14 Papers
80 Citations
Jerry Everett is an academic researcher from University of Tennessee. The author has contributed to research in topics: Transportation planning & Seat belt. The author has an hindex of 5, co-authored 14 publications.
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Papers
•Journal Article
Trip-based approach to estimate emissions with environmental protection agency's mobile model
TL;DR: A different approach to application of emissions factors from MOBILE is presented, based on trips rather than on links, which is more consistent with the trip basis used to developMOBILE's emissions factors.
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Incorporating Safety and Security Issues in Urban Transportation Planning
TL;DR: To assess the current practice, visits were made to several MPOs and transit districts around the country to learn how safety and security were being addressed in both the long-range and short-range transportation planning processes.
20
Correlates of front-seat passengers' non-use of seatbelts at night.
TL;DR: The model results show that there are many consistent correlations between the non-use of seatbelts and personal, vehicle and environmental characteristics, and accounting for these factors may be important when developing intervention strategies that promote nighttime seatbelt use.
15
Nighttime seat belt use among front seat passengers: Does the driver's belt use matter?
TL;DR: The role of peer influence in decision-making about seat belt use may differ depending on the sex of a vehicle driver and his or her passengers, suggesting that part-time seat belt users can be heavily influenced by the seat belt status of their traveling companions.
9
A new approach to develop large-scale land-use models using publicly available data:
Ali R Samani,Sabyasachee Mishra,Sabyasachee Mishra,David J-H Lee,David J-H Lee,Mihalis M. Golias,Mihalis M. Golias,Jerry Everett +7 more
- 22 Mar 2021
TL;DR: The proposed land-use model has the potential to be applied for medium to large-scale geographies with reasonable accuracy in predicting socioeconomic, demographic, and land condition estimates by using publicly available data.
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