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Articles 1 - 5 of 5
Full-Text Articles in Engineering
Analysis And Application Of Log-Linear And Quantile Regression Models To Predict Bus Dwell Times, Travis B. Glick, Miguel Figliozzi
Analysis And Application Of Log-Linear And Quantile Regression Models To Predict Bus Dwell Times, Travis B. Glick, Miguel Figliozzi
Civil and Environmental Engineering Faculty Publications and Presentations
Understanding the key factors that contribute to transit travel times and travel time variability is an essential part of transit planning and research. Delay that occurs when buses service bus stops, dwell time, is one of the main sources of travel time variability and has therefore been the subject of ongoing research to identify and quantify its determinants. Previous research has focused on testing new variables using linear regressions that may be added to models to improve predictions. An important assumption of linear regression models used in past research efforts is homoscedasticity or the equal distribution of the residuals across …
Modeling Changes In Public Transit And Private-For-Hire Usage When Implementing A Spatial Tax, Ty Lazarchik
Modeling Changes In Public Transit And Private-For-Hire Usage When Implementing A Spatial Tax, Ty Lazarchik
REU Final Reports
Private-for-Hire (PfH) transportation options, such as Uber, Lyft, and taxicabs, are consistently growing in popularity. With this expanded utilization, cities are struggling to maintain usage of their public transit systems. While PfH transportation has been heavily researched, there is a need to further study how its effects on transit usage may be minimized. In this paper, previous work in traffic modeling and analysis of transit and PfH differences are expanded to develop an agent-based decision model in order to simulate and analyze the effectiveness of implementing a location-based tax in and around the city center of Portland, Oregon. The results …
Observational Method And Coding Framework For Analyzing The Functionality Of Unprotected Bicycle Lanes, Cat Silva, Kelly Clifton, Rolf Moeckel
Observational Method And Coding Framework For Analyzing The Functionality Of Unprotected Bicycle Lanes, Cat Silva, Kelly Clifton, Rolf Moeckel
Civil and Environmental Engineering Faculty Publications and Presentations
This research evaluates how well unprotected bicycle lanes function as dedicated travel lanes for bicyclists. Two types of bicycle lanes are included in this study, including on-street bicycle lanes demarcated with painted lines on the vehicular roadway and bicycle lanes at-grade with, and immediately adjacent to, the pedestrian sidewalk. Specifically, the research is focused on how people behave and interact on street segments with these facilities in place. To assess how, and how well, these types of bicycle lanes function for the bicyclists using them, an observational method is deployed to record, document, and analyze people’s behavior and interactions. A …
Evaluation Of Shared Space To Reduce Traffic Congestion, Kimley Frosch, David Martinelli, Avinash Unnikrishnan
Evaluation Of Shared Space To Reduce Traffic Congestion, Kimley Frosch, David Martinelli, Avinash Unnikrishnan
Civil and Environmental Engineering Faculty Publications and Presentations
Pedestrian and vehicle interactions often lead to conflicts that bring about safety, traffic congestion, and priority or right of way issues. Common methods used in the past to combat said issues have largely relied on the principle of separating the motions of pedestrians and vehicles by means of bridges, tunnels, signals, and access restrictions. A different approach known as shared space aims to solve the same problems with a less structured and defined environment which instead places more reliance on human interaction and perception. Although it has been used in multiple scenarios across Europe with success, instances of shared spaces …
Investigate An Appropriate Spatial Resolution For Large-Scaled Pedestrian Travel Demand Model, Qin Zhang, Kelly Clifton, Rolf Moeckel
Investigate An Appropriate Spatial Resolution For Large-Scaled Pedestrian Travel Demand Model, Qin Zhang, Kelly Clifton, Rolf Moeckel
Civil and Environmental Engineering Faculty Publications and Presentations
An appropriate spatial resolution plays a significant role in any travel demand models. It directly impacts the level of detail of model input data, outcomes, and sensitivities (Castiglione et al., 2014; Moeckel and Donnelly, 2015). Compared to motorized or bicycle travel, pedestrian trips occur over a shorter travel distance and they are sensitive to environmental conditions at a much finer grain. Thus, it is important for models to set an appropriate spatial resolution to capture variations in walking conditions, leading to better representation of pedestrian demand over space (Gehrke and Clifton, 2014).