scenarios

Scenario planning

Explanation:

% of commuters working from home: the percentage of pre-Covid commuters who choose to work from home (i.e., telecommuting) during the post-Covid period
% of transit riders switching to SOV: the percentage of pre-Covid transit riders who choose to switch to SOV during the post-Covid period; this is for all types of trips (modes), including commuting trips

📝 Tip: For details of each scenario, please scroll down or navigate table of contents.

Table of Contents

Baseline

Baseline

Travel patterns during 2018. (<< click icon for details)

“30% of commuters working from home” + “No transit riders switching to SOV” (<< click icon for details)

“40% of commuters working from home” + “15% of transit riders switching to SOV” (<< click icon for details)

“50% of commuters working from home” + “25% of transit riders switching to SOV” (<< click icon for details)

The worst workday scenario: “10% of commuters working from home” + “40% of transit riders switching to SOV” (<< click icon for details)

to be added later

to be added later

to be added later

Starting from travel patterns of the baseline scenario (the original trip table)
Apply lever 1: % pre-COVID commuters will work from home after COVID-19:
1. - How: among the commuting tours, randomly select 40% and remove them from the trip table.
  - Note: Since some selected commuters ride transit, the share of transit trips in the modified trip table will be lower than that of the original trip table. This leads to about 26% reduction of the total transit ridership.
Apply lever 2: 15% transit riders switch to SOV:
1. - How: among all the remaining transit riders after step 1, randomly select 15% and change their travel mode from transit to SOV.
Transit impact: compared with the original trip table, the transit ridership reduction is about 40%.

Page updated

Report abuse