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Project overview
As the region is reopening and people are returning to work, travel demands are changing fast. To better inform plans to accommodate commuters’ needs and accelerate recovery of the transportation system, UW and its partners (see below) collect data, build future scenarios of commuting trips and transit usage, and assess the impacts.
Objectives
Explore returning to work plans and attitudes of using transit services post COVID-19
Identify possible impacts on road and transit networks
Support informed decision-making
Approach
Gather information together from various data sources
Produce multiple scenarios
Translate scenarios to changes in travel demands
Run PSRC’s model using changed travel demands as input
Analyze and visualize model outputs
How to navigate this website using the menu:
Page "Scenarios" introduces the baseline, short- and long-term scenarios.
Page "Results" presents model outputs and visualizations of the scenarios.
Subpage "Transit" presents transit usages in each scenario.
Subpage "Network performance" presents network volumes and travel time in each scenario.
Page "Comparison" presents comparisons of short- and long-term scenarios with baseline.
Subpage "Transit" compares transit usages
Subpage "Network performance" compares network volumes and travel time
Note: results and findings are mainly presented in tables and interaction maps. Tips are included for navigating the tables and interacting with the maps.
The Team
The intelligent Urban Transportation Systems (iUTS) Lab led by Prof. Jeff Ban, at Civil and Environmental Department of University of Washington, in collaboration with:
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