Optimal Public Transportation Networks: Evidence from the World's Largest Bus Rapid Transit System in Jakarta

Designing public transport networks involves trade-offs between coverage, service frequency, and direct service. We use the expansion of the bus system in Jakarta, Indonesia, to study these trade-offs. We analyze how new direct connections, changes in bus travel time, and wait-time reductions affect bus ridership and aggregate flows and estimate a transit network demand model by matching the route launch events. Commuters in Jakarta are 2–3 times more sensitive to wait time than bus time and inattentive to long routes. We develop a flexible framework to characterize optimal networks. A less concentrated network would increase ridership and commuter welfare. (JEL L92, L98, O18, R41, R42, R48)

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Publication Details

Journal
American Economic Review
Published
2026-08-28
DOI
https://doi.org/10.1257/aer.20230768
Citations
3
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
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article

Optimal Public Transportation Networks: Evidence from the World's Largest Bus Rapid Transit System in Jakarta

Benjamin Olken, Rema Hanna, Gabriel Kreindler, Tilman Graff et al.
3 citations
American Economic Review
Transportation Planning and Optimization
article

Optimal Public Transportation Networks: Evidence from the World's Largest Bus Rapid Transit System in Jakarta

Benjamin Olken, Rema Hanna, Gabriel Kreindler, Tilman Graff, Arya Gaduh
article en
3 citations

Abstract

Designing public transport networks involves trade-offs between coverage, service frequency, and direct service. We use the expansion of the bus system in Jakarta, Indonesia, to study these trade-offs. We analyze how new direct connections, changes in bus travel time, and wait-time reductions affect bus ridership and aggregate flows and estimate a transit network demand model by matching the route launch events. Commuters in Jakarta are 2–3 times more sensitive to wait time than bus time and inattentive to long routes. We develop a flexible framework to characterize optimal networks. A less concentrated network would increase ridership and commuter welfare. (JEL L92, L98, O18, R41, R42, R48)

American Economic ReviewVol. 116(9)
Harvard University (US), Harvard University Press (US), Moscow Institute of Thermal Technology (RU), Dana-Farber/Harvard Cancer Center (US), Massachusetts Institute of Technology (US), University of Arkansas at Fayetteville (US)
Openalex Percentile: Top 100%
Transportation Planning and Optimization
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