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Analysis of institutional authors

Vega-Gonzalo, MariaCorresponding AuthorCano-Leiva, JoseAuthorGomez, JuanAuthorVassallo, Jose ManuelAuthor

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October 28, 2025
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Integrating shared mobility into multimodal habits: A comparative analysis across shared micro-and 'macro'-mobility services

Publicated to: Transport Policy. 174 103840- - 2025-12-01 174(), DOI: 10.1016/j.tranpol.2025.103840

Authors:

Vega-Gonzalo, Maria; Cano-Leiva, Jose; Gomez, Juan; Vassallo, Jose Manuel
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Affiliations

Univ Politecn Madrid, Ctr Invest Transporte TRANSYT, Madrid, Spain - Author

Abstract

Shared mobility services, which facilitate the access to different modes without the need to own them, is favouring increasingly multimodal mobility habits among urban travellers. Understanding how these new services are integrated into individuals' mobility patterns together with conventional modes is essential to understand the role that they play in improving accessibility and promoting sustainable urban mobility. To address this topic, two sub-samples have been extracted from a macro-survey conducted in the Region of Madrid: (i) users who have adopted shared micromobility (kick-scooter and bike-sharing) and (ii) users who have adopted shared macromobility (i.e., car- and moped-sharing). Using a Latent Class Analysis, we compare the profiles of each type of shared mobility user. The results show that three out of four classes can be found in both sub-samples. Specifically, a car-oriented class who rarely uses shared mobility, an active & public transport traveler class who mostly uses public transport and occasionally shared mobility; and a multimodal class who uses shared mobility around 3 and 4 times a week. In both cases, the most intensive users are clustered into classes whose mobility patterns and socio-economic profiles differ substantially. Finally, the model provides robust results regarding the impact of teleworking and place of residence on individuals' multimodal travel habits, factors for which the previous literature had provided limited conclusions. These results have been used to provide policy recommendations specific to the role that each type of service plays in individuals' mobility habits.
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Keywords

Class cluster-analysisCommunity of madridComparative studyCycle transportEconomicsIndividual mobilityIntegrated approachLatent class analysisMaasMacro-mobilityMacroinvertebratesMadridMadrid [madrid (ads/prv)]Madrid [spain]Mass transportationMobilityMobility patternMobility serviceMulti-modalMulti-modalityMultimodal transportationMultimodalityPreferencesPublic transportShared mobilitySpainTraffic controlTravel behaviorUrban mobilityUrban transportUsage

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Transport Policy due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 47/620, thus managing to position itself as a Q1 (Primer Cuartil), in the category Economics.

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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 9 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/92393/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 39
  • Downloads: 54
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (VEGA GONZALO, MARIA) and Last Author (VASSALLO MAGRO, JOSE MANUEL).

the author responsible for correspondence tasks has been VEGA GONZALO, MARIA.

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Project objectives

El estudio persigue los siguientes objetivos: analizar cómo se integran los servicios de movilidad compartida en los patrones multimodales de los usuarios urbanos; comparar los perfiles de usuarios de micromovilidad compartida y macromovilidad compartida mediante un análisis de clases latentes; caracterizar las clases de usuarios según sus patrones de movilidad y perfiles socioeconómicos; evaluar el impacto del teletrabajo y el lugar de residencia en los hábitos multimodales; determinar la frecuencia de uso de los distintos servicios de movilidad compartida; y proporcionar recomendaciones políticas basadas en el papel específico de cada tipo de servicio en los hábitos de movilidad de los individuos.
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Most relevant results

El estudio analiza la integración de la movilidad compartida en los hábitos multimodales de los usuarios urbanos en la Región de Madrid. Los resultados más relevantes son: (1) se identifican tres clases comunes en usuarios de micromovilidad y macromovilidad compartida: una orientada al automóvil con uso escaso de movilidad compartida, otra que combina transporte público activo con uso ocasional de movilidad compartida, y una clase multimodal que utiliza movilidad compartida entre 3 y 4 veces por semana; (2) los usuarios más intensivos presentan patrones de movilidad y perfiles socioeconómicos significativamente distintos; (3) el análisis revela un impacto robusto del teletrabajo y del lugar de residencia en los hábitos multimodales, aspectos poco concluyentes en estudios previos; (4) estos hallazgos sustentan recomendaciones políticas específicas para cada tipo de servicio.
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Awards linked to the item

This research was carried out within the framework of project TED2021-129239B-I00 (GREENSHARE) funded by MICIU/AEI/10.13039/501100011033 and European Union NextGenerationEU/PRTR.
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