Paid Undergraduate Research and Data Collection Opportunities

There is an opportunity for students to assist with a data collection and processing effort in the Greater Seattle Region. Pay is $20 per hour.

The UW’s Sustainable Transportation Lab (STL) is currently collaborating with the Mobility Innovation Center, Amazon, Uber, King County Metro, Sound Transit, and the cities of Seattle and Bellevue to evaluate and quantify interactions between transit and other road users in several transit corridors within the Greater Seattle area and downtown Bellevue. As part of this project, they are collecting data on bus operations and potential instances of bus delays.

All tasks will comply with University and State guidelines to minimize health risks. We will provide personal protective equipment (mask, gloves, hand sanitizer) upon request.

The work will be done in three-hour shifts in Seattle and Bellevue (weekdays from 6:00-9:00 AM and/or 3:00-7:00 PM). Work will begin as soon as December 2020 and continue through 2021. Priority for desired roles will be given to those who request them but with no guarantees. Shifts for data collection roles will be available for sign-up on a first-come/first-serve basis (once your work eligibility is approved and you are set up in the UW payment system). Prior to fieldwork, a 30-minute remote training through Zoom will be required and paid at the regular rate.

If you are interested, please complete the short survey found here.

Learn more about the job by continuing to read:

To support this effort, we are looking to fill several roles for the following tasks:

  • Collect detailed, real-time data from King County and Sound Transit bus routes. This will involve riding the bus, taking careful note of the number of passengers, bus speed, interactions between bus and with other road users, etc.

  • Collect detailed, real-time data from King County and Sound Transit bus stops. This will involve standing on the sidewalk near a bus stop, taking careful note of the number of passengers, the occupancy of the stop at the time of bus arrival, bus interaction with other road users as it approaches the stop, performs passenger boarding/disembarking, and re-enters traffic.

  • Reduce video data to quantitative measures of bus delay. This will involve watching several hours of bus video data, and recording information such as timestamps, number of passengers, door open and close times, locations where bus delay or interaction is observed, and the specifics of interaction with other road users.

  • Students who are interested in participating in similar roles, but at a later date. We understand that due to the pandemic, many students may not be interested in participating in field data collection for the near future; but, we would like to hear from those students as well.

If you have any questions, contact Borna Arabkhedri at