This project will evaluate the impact of pedestrianization of Pike Place Market traffic and estimate the impact on market vendors. We will measure the reaction of vendors and carriers to changes in access and map-out options for future traffic management at the market. We will also analyze changes to traffic patterns adjacent to the Market as a result of the Market’s Vehicle Access Pilot.
Task 1: Merchant interviews and survey
Working with the PDA, the UFL team will develop a Market merchant interview strategy and interview instrument. Upon completion of merchant interviews UFL will develop a follow-up survey to expand the pool of merchants included in the evaluation and suggest alternatives to the current traffic control scheme.
Task 2: Traffic data analysis
SDOT will provide vehicle, pedestrian, and cyclist movements from MioVision sensors for June 2024, January 2024, June 2025, and January 2026. This data will be provided to the UFL for analysis and interpretation.
Task 3: Customer survey
The PDA is interested in surveying market customers to understand the impact of access changes on their market visit and purchase behavior. There is a particular interest in comparing the impact and behavior of “local” shoppers, to those visiting from outside of the Puget Sound. UFL will create an online survey instrument and distribute to customers via PDA message boards and flyers throughout the market. UFL will provide statistical analysis of the survey responses.
Task 4: Reporting
UFL will report our findings and recommendation in a technical memo provided to PDA and SDOT.
Project Budget: $180,000 (UW amount: $80,000)
Lead Institution:
- University of Washington, Urban Freight Lab (UFL)
Partner Institutions:
Summary:
This study will use a driving simulator to design a simulation experiment to test the behavior of commercial vehicle drivers under various parking and delivery situations and to analyze their reactions. The ability to modify the simulator’s environment will allow the researchers to relatively easily test a range of scenarios that correspond to different delivery and parking situations.
The simulation experience will be designed in a quarter-cab truck simulator at Oregon State University’s Driving and Bicycling Simulator Laboratory. Various simulation environments will be defined by changing road characteristics (such as land use, number of travel lanes, nearby signals, traffic in adjacent lanes), curb allocations (such as paid parking, commercial vehicle loading zones, and passenger load zones, as well as the size of the loading zones and their availability at the time of the vehicle arrival at the blockface), and other road users (passenger cars, ridehailing vehicles, bikes). Drivers from various categories of age, gender, experience level (less experiences vs. seasoned) and goods type (documents, packages, or heavy goods) will be invited to operate the simulator and make a parking decision in a few simulated environments. The simulator can also monitor distraction (through eye tracking) and the stress level of drivers (through galvanic skin response) when making these decisions and interacting with other road users.
Analyzing parking decisions and driver stress levels based on roadway and driver characteristics will provide insights on travel behaviors and the parking decision-making process of commercial vehicle drivers, and will help city planners improve street designs and curb management policies to accommodate safe and efficient operations in a shared urban roadway environment.
The unique needs of delivery trucks and commercial vehicles are not acknowledged in current design practices. This study is intended to fill these gaps and serve as a valuable resource for policy makers, transportation engineers and urban planners.