Evidence map›Paper›PMID 41640808›Full record

ArticleNpj sustainable mobility and transport2026

Two-sided dynamics in duopolistic ridesourcing markets with private and pooled rides.

Arjan de Ruijter, Florian Dandl, Roman Engelhardt, Klaus Bogenberger, Nejc Geržinič, Hans van Lint, Oded Cats

Abstract read
In one paragraph

Article in Npj sustainable mobility and transport, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Arjan de RuijterDepartment of Transport & Planning, Delft University of Technology, Delft, The Netherlands.
Florian Dandl *Chair of Traffic Engineering and Control, Technical University of Munich, München, Germany.
Roman Engelhardt *Chair of Traffic Engineering and Control, Technical University of Munich, München, Germany.
Klaus Bogenberger *Chair of Traffic Engineering and Control, Technical University of Munich, München, Germany.
Nejc Geržinič *Department of Transport & Planning, Delft University of Technology, Delft, The Netherlands.
Hans van Lint *Department of Transport & Planning, Delft University of Technology, Delft, The Netherlands.
Oded CatsDepartment of Transport & Planning, Delft University of Technology, Delft, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network effects in ridesourcing suggest fragmented (multi-platform) markets produce worse rider-driver matches than monopolistic markets. This research addresses two key gaps: (i) understanding how fragmentation costs such as longer detours for travellers, decreased driver income, and increased vehicle kilometres travelled (VKT) vary with market features and user attributes, and (ii) exploring conditions under which fragmented markets sustain. To this end, we propose an agent-based model accounting for day-to-day processes and within-day dynamics in markets with service providers offering private or shared rides. Amsterdam-based experiments reveal that two platforms can co-exist when ride-pooling is offered by just one of them, driven by differences in target demographics, or by both, due to negative network effects from detouring under limited demand. Fragmentation of the ride-pooling market yields 6.4% additional VKT. When both platforms offer (only) private rides, co-existence is feasible when a fraction of travellers and/or potential drivers engages in multi-homing.

Indexed as

Complex networksEnvironmental social sciences

Identifiers

PMID41640808
PMCPMC12864024

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.