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Recent Decline in Public Transportation Ridership: Hypotheses, Methodologies, and Detailed City-by-City Results (2022) / Chapter Skim
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Pages 253-258

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From page 253...
... D-1 Appendix D: Multi-City Evaluation Technical Methodology We based our multi-city ridership analysis on a fixed effects panel data regression model of the log of annual unlinked bus or rail passenger trips in each of 215 MSAs from 2012 through 2018. We compiled the necessary data from the National Transit Database (NTD)
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From page 254...
... D-2 ACS journey-to-work data. We used Bureau of Labor Statistics (BLS)
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From page 255...
... D-3 To estimate the sensitivity of transit ridership to changes in the explanatory variables, we estimate a fixed effects panel data regression model (Greene, 2003)
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From page 256...
... D-4 Where π‘₯π‘₯π‘˜π‘˜π‘–π‘–π‘–π‘– is the explanatory variable for term k that we log-transform, π‘₯π‘₯𝑙𝑙𝑖𝑖𝑖𝑖 is the explanatory variable for term l that we do not log-transform. π›½π›½π‘˜π‘˜ and 𝛽𝛽𝑙𝑙 are their corresponding coefficients.
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From page 257...
... D-5 𝐹𝐹𝐹𝐹𝐹𝐹𝑒𝑒𝑖𝑖𝑖𝑖 = 𝑦𝑦𝑖𝑖𝑖𝑖 βˆ’ π‘¦π‘¦π‘–π‘–π‘–π‘–βˆ’1 βˆ’οΏ½πΉπΉπΉπΉπΉπΉπ‘˜π‘˜π‘–π‘–π‘–π‘– π‘˜π‘˜ (6) which is similar to a residual change.
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From page 258...
... D-6 Erhardt, G
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