Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
Overlooked Density: Re-Thinking Transportation Options In Suburbia, Phase Ii, Nico Larco
Overlooked Density: Re-Thinking Transportation Options In Suburbia, Phase Ii, Nico Larco
TREC Final Reports
Comprising over 9 million units in this country, suburban multifamily housing is a widespread and overlooked example of density located within walking distance to commercial development in suburbia. This report focuses on resident demographics, attitudes, and perceptions as they relate to mode choice in 14 suburban multifamily sites in Eugene, Oregon. Through site analysis and resident surveys, our study shows that site design and connectivity is a significant predictor of resident mode choice. Residents of more-connected developments walk and bike to their local commercial area for more than 40% of their trips, nearly twice the rate of residents of less-connected …
Exploratory Methods For Truck Re-Identification In A Statewide Network Based On Axle Weight And Axle Spacing Data To Enhance Freight Metrics, Christopher M. Monsere, Mecit Cetin, Andrew Nichols
Exploratory Methods For Truck Re-Identification In A Statewide Network Based On Axle Weight And Axle Spacing Data To Enhance Freight Metrics, Christopher M. Monsere, Mecit Cetin, Andrew Nichols
TREC Final Reports
The main objective of this project is to evaluate the feasibility of re-identifying commercial trucks based on vehicle-attribute data automatically collected by sensors installed at traffic data collection stations. To support this work, archived data from weigh-in-motion (WIM) stations in Oregon are used for developing, calibrating, and testing vehicle re-identification algorithms. The vehicle re-identification methods developed in this research consist of two main stages. In the first stage, each vehicle from the downstream station is matched to the most “similar” upstream vehicle by using a Bayesian model. In the second stage, several methods are introduced to screen out those vehicles …