Methodology for Gender Analysis in Transport: Factors with Influence in Women’s Inclusion as Professionals and Users of Transport Infrastructures

García-Jiménez, Elena; Poveda-Reyes, Sara; Molero, Gemma Dolores; Santarremigia, Francisco Enrique; Gorrini, Andrea; Hail, Yvonne; Ababio-Donkor, Augustus; Leva, Maria Chiara; Mauriello, Filomena

Abstract

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.

Citation

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), Article 3656. https://doi.org/10.3390/su12093656

• Journal Article Type: Article
• Acceptance Date: Apr 29, 2020
• Online Publication Date: May 1, 2020
• Publication Date: May 1, 2020
• Deposit Date: May 11, 2020
• Publicly Available Date: May 11, 2020
• Journal: Sustainability
• Electronic ISSN: 2071-1050
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Issue: 9
• Article Number: 3656
• DOI: https://doi.org/10.3390/su12093656
• Keywords: fairness characteristics; clustering; decision-making process; public transport; bike sharing; employment; autonomous vehicles
• Public URL: http://researchrepository.napier.ac.uk/Output/2662068