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  • "Parking decision-making and parking choice"
    Parking decision-making and parking choice refer to the process and preferences individuals or drivers have when selecting a parking space. It could involve assessing various factors such as location, cost, convenience, and availability.
Technical Report
Published: 2023
Authors: Dr. Andisheh RanjbariDr. Anne GoodchildDr. Ed McCormackRishi Verma, David S. Hurwitz (Oregon State University), Yujun Liu (Oregon State University), Hisham Jashami (Oregon State University)
Summary:
Millions of people who live and work in cities purchase goods online. As ecommerce and urban deliveries spike, there is an increasing demand for curbside loading and unloading space. To better manage city curb spaces for urban freight, city planners and decision makers need to understand commercial vehicle driver behaviors and the factors they consider when parking at the curb. Urban freight transportation is a diverse phenomenon.
Dataset
Published: 2023
Journal/Book: Harvard Dataverse
Summary:
Three different data types were obtained from Oregon State Driving and Bicycling Simulator Laboratory for purpose of this report and they are as follow: Speed data consists of subject number, average speed, minimum speed, and all the independent variables. Speed data were collected based on the truck’s speed while driving through a certain scenario (out of 24).
Paper
Published: 2021
Journal/Book:  Transportation Research Record: Journal of the Transportation Research Board
Summary:
As ecommerce and urban deliveries spike, cities grapple with managing urban freight more actively. To manage urban deliveries effectively, city planners and policy makers need to better understand driver behaviors and the challenges they experience in making deliveries. In this study, we collected data on commercial vehicle (CV) driver behaviors by performing ridealongs with various logistics carriers.
Paper
Published: 2021
Journal/Book:  Transportation Research Record: Journal of the Transportation Research Board
Summary:
As e-commerce and urban deliveries spike, cities grapple with managing urban freight more actively. To manage urban deliveries effectively, city planners and policy makers need to better understand driver behaviors and the challenges they experience in making deliveries. In this study, we collected data on commercial vehicle (CV) driver behaviors by performing ridealongs with various logistics carriers.
Technical Report
Published: 2021
Journal/Book: U.S. Department of Energy
Summary:
The objectives of this project are to develop and implement a technology solution to support research, development, and demonstration of data processing techniques, models, simulations, a smart phone application, and a visual-confirmation system to: Reduce delivery vehicle parking seeking behavior by approximately 20% in the pilot test area, by returning current and predicted load/unload space occupancy information to users on a web-based and/or mobile platform, to inform real-time parking decis…