Replication data for: Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion
Principal Investigator(s): View help for Principal Investigator(s) Michael L. Anderson
Version: View help for Version V1
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LICENSE.txt | text/plain | 14.6 KB | 10/11/2019 06:54:PM |
Project Citation:
Anderson, Michael L. Replication data for: Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112854V1
Project Description
Summary:
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Public transit accounts for 1 percent of U.S. passenger miles traveled but attracts strong public support. Using a simple choice model, we predict that transit riders are likely to be individuals who commute along routes with severe roadway delays. These individuals' choices thus have high marginal impacts on congestion. We test this prediction with data from a strike in 2003 by Los Angeles transit workers. Estimating a regression discontinuity design, we find that average highway delay increases 47 percent when transit service ceases. We find that the net benefits of transit systems appear to be much larger than previously believed.
Scope of Project
Subject Terms:
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Regression Discontinuity
JEL Classification:
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H76 State and Local Government: Other Expenditure Categories
J52 Dispute Resolution: Strikes, Arbitration, and Mediation; Collective Bargaining
L92 Railroads and Other Surface Transportation
R41 Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
H76 State and Local Government: Other Expenditure Categories
J52 Dispute Resolution: Strikes, Arbitration, and Mediation; Collective Bargaining
L92 Railroads and Other Surface Transportation
R41 Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
Geographic Coverage:
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Los Angeles County
Time Period(s):
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7/2003 – 1/2005
Universe:
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Major freeways in Los Angeles County
Data Type(s):
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geographic information system (GIS) data;
observational data;
program source code;
aggregate data
Methodology
Data Source:
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Caltrans Performance Measurement System (PeMS)
Unit(s) of Observation:
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Hour-by-freeway segment,
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