Evidence map›Paper›PMID 42761103›Full record

ArticleTransportation2026

Travel contexts for different forms of multimodality in the new urban mobility landscape: a latent class analysis.

Xingxing Fu, Dea van Lierop, Dick Ettema

Abstract read
In one paragraph

Article in Transportation, 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

3 authors.

Xingxing FuDepartment of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, 3584 CB Utrecht, The Netherlands.
Dea van LieropDepartment of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, 3584 CB Utrecht, The Netherlands.
Dick EttemaDepartment of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, 3584 CB Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimodality has been recognised as a sustainable way of travel, triggering transport policies to seek solutions that facilitate multimodality. However, although emerging mobility services and transport options in the new urban mobility landscape unlock new possibilities for multimodality, little is known about their roles in different forms of multimodal travel. Therefore, this study investigated the forms of multimodality and their relationship with individual travel contexts considering new trends in the urban mobility sector. In the identification of modality styles, a broader and more detailed set of transport modes was considered; and in the definition of individual travel contexts, a series of factors related to the availability and accessibility of transport options and mobility services were considered. Using latent class analysis, this study identified five modality styles including three forms of multimodality that have not been found in previous research. Distinct forms of public transport (bus, tram, metro, and train) were found to be used in conjunction with other transport modes in different ways, leading to different forms of multimodality. Mopeds and motorcycles, rarely considered in previous research, were found to be the primary travel mode for a small group of people. In addition, weighted multinomial logit regression was used to assess the association between individual travel contexts and modality styles. The results indicate that new mobility services, such as (e-)bike-sharing, have the potential to promote more sustainable forms of multimodality that combine active modes with public transport.

Indexed as

Latent class analysisModality styleMultimodalityNew mobility servicesTravel context

Identifiers

PMID42761103
PMCPMC13585886

What OpenQuestion holds

Textmetadata
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.