The divisibility index as a theoretical tool to support public transport design

Abstract Along a corridor, a service may operate as a single line or be divided into segments. We investigate theoretically under which conditions a divided line is better than a single line. We identify three conditions that favor the line split at a particular stop, namely (i) few induced transfers, (ii) a large difference in the maximum flows between the two segments, and (iii) the segment with the lower maximum flow being long. These elements are combined into a single metric, the Divisibility Index (DI). Using the DI, we propose two algorithms that quickly determine whether and where to divide a line, and that can be integrated into existing network design tools. The approach is numerically tested in a simulated linear city and with Canberra light-rail data, producing results that reproduce the optimal division cost with an average error of 0.1% and demonstrate the correlation between DI and optimal division, respectively.

Authors

Institutions

Publication Details

Journal
npj Sustainable Mobility and Transport
Published
2026-04-27
DOI
https://doi.org/10.1038/s44333-026-00101-8
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The divisibility index as a theoretical tool to support public transport design

Andrés Fielbaum, Valentina Gómez, Sergio Jara-Díaz
npj Sustainable Mobility and Transport
Transportation Planning and Optimization
article

The divisibility index as a theoretical tool to support public transport design

Andrés Fielbaum, Valentina Gómez, Sergio Jara-Díaz
article en

Abstract

Abstract Along a corridor, a service may operate as a single line or be divided into segments. We investigate theoretically under which conditions a divided line is better than a single line. We identify three conditions that favor the line split at a particular stop, namely (i) few induced transfers, (ii) a large difference in the maximum flows between the two segments, and (iii) the segment with the lower maximum flow being long. These elements are combined into a single metric, the Divisibility Index (DI). Using the DI, we propose two algorithms that quickly determine whether and where to divide a line, and that can be integrated into existing network design tools. The approach is numerically tested in a simulated linear city and with Canberra light-rail data, producing results that reproduce the optimal division cost with an average error of 0.1% and demonstrate the correlation between DI and optimal division, respectively.

npj Sustainable Mobility and TransportVol. 3(1)
The University of Sydney (AU), Complex Engineering System Institute (CL), University of Chile (CL)
Agencia Nacional de Investigación y Desarrollo, Australian Research Council
Sustainable cities and communities
Openalex Percentile: Top 10%
Transportation Planning and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.