Methodology for Gender Analysis in Transport

Methodology for Gender Analysis in Transport

Within the research activities of the H2020 DIAMOND project, Systematica participated in the execution of a thematic literature review of most relevant scientific contributions related to the concept of fairness for women in transport sector.

The literature review performed by Systematica was focused on the first Use Case of DIAMOND – “Public Transport Infrastructures (Railways)” and aimed at identifying a series of Fairness Characteristics (FCs) and Influencing Parameters (IPs), which were later grouped into several Clusters of Fairness Characteristics (CFCs).

The literature review was conducted through several academic database (e.g. Web of Science, Scopus, Google Scholar, Research Gate, etc.) and organized in a tabular structure.

The results of this research activity has been published in the Special Issue “Fairness in Transport” of the scientific journal Sustainability: García-Jiménez, E., Poveda-Reyes, S., Molero, G.D., Santarremigia, F.E., Gorrini, A., Hail, Y., Ababio-Donkor, A., Leva, M.C., Mauriello, F. (2020). Methodology for Gender Analysis in Transport: Factors with Influence in Women’s Inclusion as Professionals and Users of Transport Infrastructures, Sustainability, 12(9), 3656. doi:


This work analyzes gendered processes by a methodology based on clustering factors with influence in the decision-making process of women as users or employees of the transport system. Considering gender as a social construction which changes over time and space, this study is based on the concept of a woman as a person who adopts this role in society. This paper performs a deep analysis of those factors women consider as needs and barriers to use or work in the transport system in four scenarios: railway public transport infrastructures, automated vehicles, bicycle sharing, and jobholders. A literature review and focus group discussions were performed under the consideration that the definition of woman includes the addition of several personal characteristics (age, sexual orientation, family responsibilities, and culture). The data analysis allowed the identification of fairness characteristics (FCs) that affect the interaction of women with the transport system for each scenario. A methodology for clustering the fairness characteristics identified the main areas of action to improve the inclusion of women within each use case. Further studies will be focused on the quantification and prioritization of the FCs through mathematical methods and the suggestion of inclusive measures by an interdisciplinary panel.

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