To our knowledge, there are no current transport systems that sufficiently take into account physical and social characterisics of women in the design of products and services, and in fostering women’s employability in the industry. So this PhD is to structure a task within a EU funded project called DIAMOND aimed at turing data into actionable knowledge with notions of fairness, in order to progress towards an inclusive and efficient transport system. Building on the lack of fit model (Heilman, 2001) and other theories, the Phd project will seek to provide a novel explanation for why women are underrepresented in the transport sector through technologies such as data mining and analytics, together with the use of elicitation techniques to gather and analyse information from different stakeholders.
DIAMOND will exploit such technological advances and innovations, to (i) analyse real-world scenarios where these open issues exist, and (ii) take concrete action, to create a fair and inclusive transport system. Thus, from the lack of fit perspective and within the DIAMOND framework, the main aim of the research is to provide a novel explanation for women’s key factors, needs and barriers faced by potential female users in surface transport sector.