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Revealing fair and actionable knowledge from data to support women’s inclusion in transport systems

Revealing fair and actionable knowledge from data to support women’s inclusion in transport systems

Objective

Current transport systems do not sufficiently take into account physical and social characteristics of women in the design of products and services, and in fostering women’s employability in the industry.

Technologies such as data mining and analytics, together with the use of elicitation techniques to gather and analyse information from different stakeholders, allow the generation of actionable knowledge for addressing gender-specific needs for transport decision-making, planning tools and methods. 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.

DIAMOND’s main goal is to turn data into actionable knowledge with notions of fairness, in order to progress towards an inclusive and efficient transport system. This objective will be achieved by the development of a methodology based on the collection and analysis of disaggregated data, including new sources, analytics and management techniques. Thus this allows to identify, design and evaluate specific measures for fulfilling the needs and expectations of women as users of different transport modes and as jobholders in the sector. The knowledge gathered in the data analysis will then be fed into a toolbox that will provide recommendations on how to achieve fair inclusiveness for women in each of the identified use-cases. Interdisciplinary analysis combining methods from social sciences and computer science will contribute to fairness of the model and its results (i.e. condition of being free from bias or injustice).

To proof actionability, this project will make concrete advances in four real-world scenarios (use-cases) where inclusiveness is currently a central issue: 1.- railways and public multimodal transport, 2.- Vehicle Dynamics control towards autonomous driving, 3.- vehicle sharing and 4.- corporate social responsibility and employment.

Coordinator

FUNDACIO EURECAT

Address

Avenida Universitat Autonoma 23
08290 Cerdanyola Del Valles (Barcelona)

Spain

Activity type

Research Organisations

EU Contribution

€ 493 937

Participants (14)

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TECHNOLOGICAL UNIVERSITY DUBLIN

Ireland

EU Contribution

€ 273 237

INSTITIUID TEICNEOLAIOCHTA BHAILE ATHA CLIATH

Ireland

AITEC ASESORES INTERNACIONALES SRL

Spain

EU Contribution

€ 221 875

THE UNIVERSITY OF STIRLING

United Kingdom

EU Contribution

€ 316 781

Systematica S.r.l.

Italy

EU Contribution

€ 179 250

EDINBURGH NAPIER UNIVERSITY

United Kingdom

EU Contribution

€ 206 608

Univerzitet u Beogradu - Saobracajni fakultet

Serbia

EU Contribution

€ 93 750

MIASTO STOLECZNE WARSZAWA

Poland

EU Contribution

€ 115 000

GENRE ET VILLE

France

EU Contribution

€ 124 375

Ferrocarrils de la Generalitat de Catalunya

Spain

EU Contribution

€ 144 375

SYNDICAT MIXTE AUTOLIB ET VELIB MÉTROPOLE

France

EU Contribution

€ 106 250

HEKSAGON MUHENDISLIK VE TASARIM AS

Turkey

EU Contribution

€ 158 593

RINA SERVICES SPA

Italy

EU Contribution

€ 110 000

WAVE WOMEN AND VEHICLES IN EUROPE

France

EU Contribution

€ 84 375

Project information

Grant agreement ID: 824326

Status

Ongoing project

  • Start date

    1 November 2018

  • End date

    31 October 2021

Funded under:

H2020-EU.3.4.

  • Overall budget:

    € 2 628 408,75

  • EU contribution

    € 2 628 406

Coordinated by:

FUNDACIO EURECAT

Spain