D3.3 Report on data collection campaigns – Full paper

The following document is ‘Deliverable 3.3 Report on data collection campaigns’in the framework of the project titled ‘Revealing fair and actionable knowledge from data to support women’s inclusionin transport systems’ (Acronym: DIAMOND; Grant Agreement No 824326).

The document describesthe data collection campaigns executed within ‘Work Package 3 –Data collection’(from M9-July 2019 to M25-November 2020),focusing on each Use Case:

• Use Case I: Public Transport Infrastructures (Railways)
• Use Case II: (Emotion in) Autonomous Passenger Car
• Use Case III: Vehicle (Bike)Sharing Fleet Management;
• Use Case IV: Employment of Women in Rail Industry and Freight/CSR Protocols.

Data collection campaigns have been based on the methodological approach of the DIAMOND projectalready presented in Deliverable 3.1 and Deliverable 3.2. This relies on the Fairness Characteristics identified through Thematic Analysis and on a series of interdisciplinary tools.A series of heterogeneousand disaggregated information have been gathered through the executed data collection campaigns andclassified inthreemain categories:

• Thematic Analysis: literature review, focus group discussions and semi-structured interviews
• Service and Employers’ Provision Data: structured data, observations, UESI questionnaires and social media data.
• Users and Employees’ Perception Data: Dynamic Argumentative Delphi survey questionnaires.

Deliverable 3.3 is aimed at planning data collection and reporting the executed data collection campaigns with reference to timing and means deployed, results on user engagement level, surveys obtained and data from Web and other sources. Within the objectives of ‘Work Package 4 –Interdisciplinary model creation’, the collected Service and Employers’ Database will be analysed throughFactor and Regression Analysis and Bayesian Networkt echniques, while the Users and Employees Perception Database is going to be analysed using Analytic Hierarchy Process (AHP) approach.