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

Elena García-Jiménez, Sara Poveda-Reyes, Gemma Dolores Molero, Francisco Enrique Santarremigia, Andrea Gorrini, Yvonne Hail, Augustus Ababio-Donkor, Maria Chiara Leva and Filomena Mauriello
Additional contact information
Elena García-Jiménez: AITEC Research & Innovation Projects, Parque Tecnológico C/Charles Robert Darwin 20, 46980 Valencia, Spain
Sara Poveda-Reyes: AITEC Research & Innovation Projects, Parque Tecnológico C/Charles Robert Darwin 20, 46980 Valencia, Spain
Gemma Dolores Molero: AITEC Research & Innovation Projects, Parque Tecnológico C/Charles Robert Darwin 20, 46980 Valencia, Spain
Francisco Enrique Santarremigia: AITEC Research & Innovation Projects, Parque Tecnológico C/Charles Robert Darwin 20, 46980 Valencia, Spain
Andrea Gorrini: Systematica Srl, via Lovanio 8, 20121 Milano, Italy
Yvonne Hail: Management Work and Organisation, Management School, University of Stirling, Stirling FK9 4LA, UK
Augustus Ababio-Donkor: Transport Research Institute. Edinburgh Napier University, Edinburgh EH10 5DT, UK
Maria Chiara Leva: School of food science and environmental Health, Technological University Dublin, Grangegorman lower, D07 H6K8 Dublin, Ireland
Filomena Mauriello: Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Napoli, Italy

Sustainability, 2020, vol. 12, issue 9, 1-32

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.

Keywords: fairness characteristics; clustering; decision-making process; public transport; bike sharing; employment; autonomous vehicles (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:9:p:3656-:d:353009

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