Abstract
Quantifying the effect of rail transit on vehicular traffic helps policy makers understand its transportation benefits. Previous studies seldom consider the effect over time and the influence of confounding factors. We apply a quasi-experiment research design to explore the evolving impact of the Green Line light rail transit on vehicular traffic in the Twin Cities, controlling for road classification, land use, and transit supply. The results show that rail transit is a substitute for automobile traffic, but induced and diverted trips gradually reduce the substitution effect. The reduced effect suggests that rail transit improves transportation system performance.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 923-937 |
| Number of pages | 15 |
| Journal | Journal of Planning Education and Research |
| Volume | 44 |
| Issue number | 2 |
| DOIs | |
| State | Published - Aug 11 2021 |
Bibliographical note
Publisher Copyright:© The Author(s) 2021.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- AADT
- auto use
- induced demand
- light rail transit
- quasi-experiment
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