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

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AITEC Research & Innovation Projects, Parque Tecnológico C/Charles Robert Darwin 20, 46980 Valencia, Spain
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Systematica Srl, via Lovanio 8, 20121 Milano, Italy
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Management Work and Organisation, Management School, University of Stirling, Stirling FK9 4LA, UK
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Transport Research Institute. Edinburgh Napier University, Edinburgh EH10 5DT, UK
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School of food science and environmental Health, Technological University Dublin, Grangegorman lower, D07 H6K8 Dublin, Ireland
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Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Napoli, Italy
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Author to whom correspondence should be addressed.
Sustainability 2020, 12(9), 3656; https://doi.org/10.3390/su12093656
Received: 7 April 2020 / Revised: 27 April 2020 / Accepted: 29 April 2020 / Published: 1 May 2020
(This article belongs to the Special Issue Fairness in Transport)
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. View Full-Text
Keywords: fairness characteristics; clustering; decision-making process; public transport; bike sharing; employment; autonomous vehicles fairness characteristics; clustering; decision-making process; public transport; bike sharing; employment; autonomous vehicles
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MDPI and ACS Style

García-Jiménez, E.; Poveda-Reyes, S.; Molero, G.D.; Santarremigia, F.E.; Gorrini, A.; Hail, Y.; Ababio-Donkor, A.; Leva, M.C.; Mauriello, F. Methodology for Gender Analysis in Transport: Factors with Influence in Women’s Inclusion as Professionals and Users of Transport Infrastructures. Sustainability 2020, 12, 3656. https://doi.org/10.3390/su12093656

AMA Style

García-Jiménez E, Poveda-Reyes S, Molero GD, Santarremigia FE, Gorrini A, Hail Y, Ababio-Donkor A, Leva MC, Mauriello F. Methodology for Gender Analysis in Transport: Factors with Influence in Women’s Inclusion as Professionals and Users of Transport Infrastructures. Sustainability. 2020; 12(9):3656. https://doi.org/10.3390/su12093656

Chicago/Turabian Style

García-Jiménez, Elena; Poveda-Reyes, Sara; Molero, Gemma D.; Santarremigia, Francisco E.; Gorrini, Andrea; Hail, Yvonne; Ababio-Donkor, Augustus; Leva, Maria C.; Mauriello, Filomena. 2020. "Methodology for Gender Analysis in Transport: Factors with Influence in Women’s Inclusion as Professionals and Users of Transport Infrastructures" Sustainability 12, no. 9: 3656. https://doi.org/10.3390/su12093656

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