Application of Mathematical and Computational Methods to Identify Women’s Priorities in Transport

Sara Poveda-Reyes, Ashwani Kumar Malviya, Elena García-Jiménez, Gemma Dolores Molero, Maria Chiara Leva and Francisco Enrique Santarremigia
Additional contact information
Sara Poveda-Reyes: Research & Innovation Projects, AITEC, 46980 Paterna, Spain
Ashwani Kumar Malviya: Research & Innovation Projects, AITEC, 46980 Paterna, Spain
Elena García-Jiménez: Research & Innovation Projects, AITEC, 46980 Paterna, Spain
Gemma Dolores Molero: Research & Innovation Projects, AITEC, 46980 Paterna, Spain
Maria Chiara Leva: School of food Science and Environmental Health, Technological University Dublin, D07 H6K8 Dublin, Ireland
Francisco Enrique Santarremigia: Research & Innovation Projects, AITEC, 46980 Paterna, Spain

Sustainability, 2021, vol. 13, issue 5, 1-43

Abstract: It is well established that the transport sector is not an equalitarian sector. To develop a sustainable society, a more equalitarian and safe transport system for both users and transport sector employees is needed. This work prioritizes the needs and barriers previously identified as relevant among transport system users and employees for four different transport scenarios (railways, autonomous vehicles (AVs), bicycle-sharing services (BSSs), and employment). The aim of this paper is to prioritize the factors affecting women in these four transport scenarios with the help of a survey followed by the application of mathematical and computational algorithms based on the analytic hierarchy process (AHP) methodology. The identification of factors with higher influence in the fair participation of women in the transport sector will help transport planners, bike-sharing system owners, decision-makers, transport companies, and regulatory professionals to develop measures that could plausibly increase the proportion of women as users of BSSs, users of rail public transport, and AVs, as well as employees in the transport sector for a sustainable society. The results indicated that safety and security were the most challenging factors for railways. Weather, topography, and family responsibilities were shown to have a high influence on the use of BSSs. In the case of autonomous vehicles, the simultaneity and trust in the technology are the main opportunities to influence the acceptance of such vehicles. Finally, for transport employment, caring and parenting responsibilities were the factors that had the largest effect. Some differences in priorities were found for different profiles of women.

Keywords: AHP; multicriteria decision method; transport; women; public transport; employment; bicycle sharing; autonomous vehicles; fairness and equity in transport (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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