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Previous studies have highlighted inequalities and gender differences in the transportsystem. Some factors or fairness characteristics (FCs) strongly influence gender fairness in thetransport system. The difference with previous studies, which focus on general concepts, is theincorporation of level 3 FCs, which are more detailed aspects or measures that can be implementedby companies or infrastructure managers and operators in order to increase fairness and inclusionin each use case. The aim of this paper is to find computational solutions, Bayesian networks, andanalytic hierarchy processes capable of hierarchizing level 3 FCs and to predict by simulation theirvalues in the case of applying some improvements. This methodology was applied to data fromwomen in four use cases: railway transport, autonomous vehicles, bicycle sharing stations, andtransport employment. The results showed that fairer railway transport requires increased personalspace, hospitality rooms, help points, and helpline numbers. For autonomous vehicles, the perceptionof safety, security, and sustainability should be increased. The priorities for bicycle sharing stationsare safer cycling paths avoiding hilly terrains and introducing electric bicycles, child seats, or trailersto carry cargo. In transport employment, the priorities are fair recruitment and promotion processesand the development of family-friendly policies.

[EN] Globalization has caused an increase in cargo volumes in ports, which is starting to produce congestion in some of the main ports, delays in the whole supply chain, higher costs, retention in the vicinity of ports, and more pollution. All of these issues highlight the need to improve current container terminals by searching for enhanced management models. The terminal operating system (TOS) is the operational control system used in container terminals. An improvement of TOS with better functionalities, and their optimization, would increase the efficiency of the terminal. In a previous study, the authors identified and weighted TOS functionalities using the analytic hierarchy process (AHP) method. The aim of this paper is to analyse by simulation how the improvement of the most influential TOS functionalities affects the operational and the environmental performance of a container terminal. Two new TOSs (TOS 2 and TOS 3) were compared with the TOS (TOS 1) currently used at Intersagunto terminal (Spain) by microsimulation using FlexTerm. Results show that modifications to the TOS can improve certain operational aspects, such as the number of containers handled, the occupation of the storage yard, and the dwell times; however, there were not significant improvements in energy consumption and carbon footprint. Further developments should address this issue by modifying other TOS functionalities in order to obtain both operational and environmental improvements at the terminal. This paper is addressed to managers of container terminals, TOS designers, researchers in the field of ports and terminals, and port authorities., This study was co-funded by Instituto Valenciano de Competitividad (IVACE) and the European Regional Development Fund (ERDF) under project reference IMIDCA/2017/32.

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.