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Elena García-Jiménez
Research & Innovation Projects, AITEC, 46980 Paterna, Spain

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Journal article
Published: 05 March 2021 in Sustainability
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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.

ACS Style

Sara Poveda-Reyes; Ashwani Malviya; Elena García-Jiménez; Gemma Molero; Maria Leva; Francisco Santarremigia. Application of Mathematical and Computational Methods to Identify Women’s Priorities in Transport. Sustainability 2021, 13, 2845 .

AMA Style

Sara Poveda-Reyes, Ashwani Malviya, Elena García-Jiménez, Gemma Molero, Maria Leva, Francisco Santarremigia. Application of Mathematical and Computational Methods to Identify Women’s Priorities in Transport. Sustainability. 2021; 13 (5):2845.

Chicago/Turabian Style

Sara Poveda-Reyes; Ashwani Malviya; Elena García-Jiménez; Gemma Molero; Maria Leva; Francisco Santarremigia. 2021. "Application of Mathematical and Computational Methods to Identify Women’s Priorities in Transport." Sustainability 13, no. 5: 2845.

Journal article
Published: 01 May 2020 in Sustainability
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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.

ACS Style

Elena García-Jiménez; Sara Poveda-Reyes; Gemma Dolores Molero; Francisco Enrique Santarremigia; Andrea Gorrini; Yvonne Hail; Augustus Ababio-Donkor; Maria Chiara Leva; Filomena Mauriello. Methodology for Gender Analysis in Transport: Factors with Influence in Women’s Inclusion as Professionals and Users of Transport Infrastructures. Sustainability 2020, 12, 3656 .

AMA Style

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

Chicago/Turabian Style

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

Research article
Published: 01 January 2016 in Transportation Research Record: Journal of the Transportation Research Board
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Free-flow speed variation of passenger vehicles along a road segment is one of the most used factors in road safety studies, as a surrogate measure to evaluate road design consistency. Free-flow speed may be measured when a road segment is already built but must be estimated during the design phase. Several studies have been carried out to calibrate models to estimate free-flow speed, with geometric features as explanatory variables. Currently, most free-flow speed models focus only on mean speed or speed in particular percentiles, such as the 85th or 95th. Moreover, most studies have assumed normality in the free-flow speed distribution without checking this hypothesis. The main objective of this study was to analyze the free-flow speed distribution on two-lane rural road curves and tangents. The research focused on two main issues: determining whether speed data were normally distributed at a specific site and analyzing the behavior of the mean and standard deviation of speed on curves and tangents. The study was based on continuous operating speed profiles, which were obtained from a database of more than 16,000 vehicles/km. A total of 63 horizontal curves and 78 tangents were analyzed. According to the results, the normal distribution is not the best distribution in most cases for describing free-flow speeds. In 46 of the curves and 64 of the tangents, free-flow speed cannot be assumed to be normally distributed. Therefore, some other distributions should be tested in further research.

ACS Style

Elena García-Jiménez; Ana María Pérez-Zuriaga; David Llopis Castelló; Francisco Javier Camacho Torregrosa; Alfredo García. Examination of the Free-Flow Speed Distribution on Two-Lane Rural Roads. Transportation Research Record: Journal of the Transportation Research Board 2016, 2556, 86 -97.

AMA Style

Elena García-Jiménez, Ana María Pérez-Zuriaga, David Llopis Castelló, Francisco Javier Camacho Torregrosa, Alfredo García. Examination of the Free-Flow Speed Distribution on Two-Lane Rural Roads. Transportation Research Record: Journal of the Transportation Research Board. 2016; 2556 (1):86-97.

Chicago/Turabian Style

Elena García-Jiménez; Ana María Pérez-Zuriaga; David Llopis Castelló; Francisco Javier Camacho Torregrosa; Alfredo García. 2016. "Examination of the Free-Flow Speed Distribution on Two-Lane Rural Roads." Transportation Research Record: Journal of the Transportation Research Board 2556, no. 1: 86-97.