2024-03-28T14:05:58Z
https://zenodo.org/oai2d
oai:zenodo.org:3823830
2020-05-13T20:20:39Z
user-diamond-project
Elena García-Jiménez
Sara Poveda-Reyes
Gemma Dolores Molero
Francisco Enrique Santarremigia
Andrea Gorrini
Yvonne Hail
Augustus Ababio-Donkor
Maria Chiara Leva
Filomena Mauriello
2020-05-13
<p>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.</p>
https://doi.org/10.3390/su12093656
oai:zenodo.org:3823830
eng
Zenodo
https://zenodo.org/communities/diamond-project
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Fairness characteristics
Clustering
Decision-making process
Public transport
Autonomous vehicles
Bike sharing
Employment
Methodology for Gender Analysis in Transport: Factors with Influence in Women's Inclusion as Professionals and Users of Transport Infrastructures
info:eu-repo/semantics/article
oai:zenodo.org:6121852
2022-03-21T13:34:22Z
user-diamond-project
openaire_data
user-eu
Laniado, David
Gorrini, Andrea
Leva, Maria Chiara
Santarremigia, Francisco
2022-02-17
<p>The folder includes the datasets collected through the H2020 DIAMOND project titled ‘Revealing fair and actionable knowledge from data to support women’s inclusion in transport systems.’ (Grant Agreement No 824326), focusing on each Use Case of the project:</p>
<ul>
<li>Use Case I: Public Transport Infrastructures (Railways);</li>
<li>Use Case II: (Emotion in) Autonomous Passenger Car;</li>
<li>Use Case III: Vehicle (Bike) Sharing Fleet Management;</li>
<li>Use Case IV: Employment of Women in Rail Industry and Freight/CSR Protocols.</li>
</ul>
<p>Data collection campaigns have been based on the methodological approach of the DIAMOND project. </p>
<p>This relies on the Fairness Characteristics (FCs) identified through Thematic Analysis and on a series of interdisciplinary tools and methods. </p>
<p>The heterogeneous and disaggregated datasets gathered through the executed data collection campaigns are classified in following categories:</p>
<ul>
<li>Structured data (Use Cases I, III and IV);</li>
<li>Observations (Use Cases I and III);</li>
<li>UESI questionnaires (all Use Cases);</li>
<li>Social media data (Use Cases I, II and III);</li>
<li>DAD survey questionnaires (all Use Cases);</li>
<li>Recommendations (All Use Cases);</li>
<li>Validation of the Toolkit4Fairness (All Use cases).</li>
</ul>
<p>The folder includes the document 'Deliverable 4.1 Datasets description', which is aimed at reporting the datasets collected for the H2020 DIAMOND project including information about the identification of dataset sources, data collection tools, data collection timeline and responsible partners of the Consortium for each data collection activity.</p>
https://doi.org/10.5281/zenodo.6121852
oai:zenodo.org:6121852
eng
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6121851
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
women in transport, public transport, autonomous vehicle, vehicle sharing, bike sharing, employment, fairness, CSR protocols, fairness, inlcusion, transport systems
DIAMOND project Open Datasets
info:eu-repo/semantics/other
oai:zenodo.org:4716032
2022-02-07T07:41:15Z
user-diamond-project
Hail, Yvonne
McQuaid, Ronald
2021-03-08
<p>This paper discusses the concept of ‘fairness’ in transport, specifically regarding women using public transport, future autonomous vehicle taxis or bicycle sharing. Women generally have varying and complex mobility patterns compared to men and suffer disproportionate fairness issues when using transport. Different concepts of fairness are explored, including: equality of opportunity, equity and justice (including procedural, social and distributional justice). While each of these concepts has different implications for women using transport, it is also recognized that fairness principles should apply to all people (regardless of sex, gender or other characteristics). Analysis of the different forms of mobility, as represented by public transport, autonomous vehicles and bicycle sharing, illustrate a variety of specific fairness issues. Factors such as safety and security, cost, physical design of infrastructure and vehicles, and characteristics such as low-income or childcare responsibilities arise in each case. The three cases also indicate a range of both horizonal fairness factors (similar people being treated similarly) and vertical fairness factors (such as more disadvantaged people receiving greater support). Further research is required into setting frameworks for a more comprehensive inclusion of, and balance between, different concepts of fairness and their interactions in both transport policy and practice.</p>
This research was part funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 824326 (the Diamond project).
https://doi.org/10.3390/su13052919
oai:zenodo.org:4716032
eng
Zenodo
https://hdl.handle.net/Sustainability 2021, 13, 2919. https://doi.org/10.3390/su13052919
https://zenodo.org/communities/diamond-project
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
fairness; equal opportunity; equity; social justice; women; public transport; autonomous vehicles; bicycle/bike sharing
The Concept of Fairness in Relation toWomen Transport Users
info:eu-repo/semantics/article
oai:zenodo.org:6372430
2022-03-21T13:49:19Z
user-diamond-project
user-eu
Andrea Gorrini
2022-03-21
<p>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 inclusion in transport systems’ (Acronym: DIAMOND; Grant Agreement No 824326). </p>
<p>The document describes the data collection campaigns executed within ‘Work Package 3 –Data collection’ (from M9-July 2019 to M25-November 2020), focusing on each Use Case: </p>
<ul>
<li>Use Case I: Public Transport Infrastructures (Railways); </li>
<li>Use Case II: (Emotion in) Autonomous Passenger Car; </li>
<li>Use Case III: Vehicle (Bike) Sharing Fleet Management; </li>
<li>Use Case IV: Employment of Women in Rail Industry and Freight/CSR Protocols. </li>
</ul>
<p>Data collection campaigns have been based on the methodological approach of the DIAMOND project already presented in Deliverable 3.1 and Deliverable 3.21. This relies on the Fairness Characteristics identified through Thematic Analysis and on a series of interdisciplinary tools. </p>
<p>A series of heterogeneous and disaggregated information have been gathered through the executed data collection campaigns and classified in three main categories: </p>
<ul>
<li>Thematic Analysis:
<ul>
<li>Literature review (all Use Cases); </li>
<li>Focus group discussions (all Use Cases) </li>
<li>Semi-structured interviews (all Use Cases). </li>
</ul>
</li>
<li>Service and Employers’ Provision Data:
<ul>
<li>Structured data (Use Cases I, III and IV); </li>
<li>Observations (Use Cases I, II and III); </li>
<li>Users and Employees’ Satisfaction Index questionnaires (all Use Cases); </li>
<li>Social media data (Use Cases I, II and III). </li>
</ul>
</li>
<li>Users and Employees’ Perception Data:
<ul>
<li>Dynamic Argumentative Delphi survey questionnaires (all Use Cases). </li>
</ul>
</li>
</ul>
<p>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 through Factor and Regression Analysis and Bayesian Network techniques, while the Users and Employees Perception Database is going to be analysed using Analytic Hierarchy Process (AHP) approach.</p>
https://doi.org/10.5281/zenodo.6372430
oai:zenodo.org:6372430
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6372429
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
D3.3 - Report on data collection campaigns
info:eu-repo/semantics/report
oai:zenodo.org:6372093
2022-03-21T13:49:18Z
user-diamond-project
user-eu
Dr Augustus Ababio-Donkor
Professor Wafaa Saleh
2022-03-21
<p>There is a current worldwide recognition that the current transport systems inadequately address gendered differences in terms of the current infrastructure and the delivery of services, and that gender equity has not been realized. The findings from <a href="http://www.diamond-project.eu/">DIAMOND project</a> suggests that women as users of transport services, for example, are often concerned with availability, accessibility, safety, awareness, and cost. In relation to employability, women are concerned with their career development and flexible working opportunities. </p>
<p>To address these concerns, the DIAMOND project has developed curriculum design guidelines to provide a roadmap for adaptation of training and studies content in relation to new skills and opportunities in the transport system.</p>
<p>The main aim is to develop a new level of curriculum design guidelines for educational institutions and future transport professionals to deliver excellence in education and ensure equity in the transport sector. Essential to achieving the above stated objective is to design novel educational content to address the following items: </p>
<ul>
<li>How technologies should adapt to women needs </li>
<li>How to match job opportunities with women motivations, talents and needs </li>
<li>How to design job characteristics and disseminate to attract women </li>
<li>How to carry out HR processes to avoid bias and discrimination, and cover psychology aspects in the different stages of employment including getting into education, workforce, job recruitment, retention, progression in jobs, etc. </li>
<li>Future skills needed for job positions </li>
<li>How to design transport services to meet women's requirements and expectations, and improve their access to transport and jobs </li>
</ul>
<p>The Guidelines are targeted at European Universities and training centres offering graduate and postgraduate studies, in-company and occupational training on Transport Technologies and Management. They show how to handle gender needs in transport planning, in service offerings, and how to tackle job opportunities in a fair way is generated based on the project outputs, in relation to: </p>
<ul>
<li>New skills identified in transport related job </li>
<li>New jobs and services opportunities </li>
<li>Women attitudes and talent towards new technologies, business models </li>
<li>Impact of women in Technology (adaptation of new technologies related to transport and women’s needs) </li>
</ul>
<p>The expected outcome of the guidelines will be an increased readiness of transport systems and educational courses for gender inclusion based on a better understanding of women talents and motivations in job opportunities.</p>
https://doi.org/10.5281/zenodo.6372093
oai:zenodo.org:6372093
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6372092
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Educational Curriculum Design Guidelines
info:eu-repo/semantics/report
oai:zenodo.org:5948257
2022-02-07T07:41:13Z
user-diamond-project
Cullen, Anne Marie
Hail, Yvonne
McQuaid, Ronald
2021-10-27
<p>This Working Paper considers the impact of the Covid-19 pandemic on employee experiences of work in the transport sector including: changes to place of work, challenges faced while working through the pandemic, employer support offered to employees, and areas where employees believed support was lacking. Some 46 individuals were interviewed (or in one country took part in focus groups) in the summer of 2020 during the covid pandemic, in order to collect views from a wide range of professionals. These represented multi-level samples in terms of city level (Warsaw), regional level (Catalonia region of Spain), and national levels (Ireland and UK (Scotland and England)).</p>
https://doi.org/10.5281/zenodo.5948257
oai:zenodo.org:5948257
eng
Zenodo
https://zenodo.org/communities/diamond-project
https://doi.org/10.5281/zenodo.5948256
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Covid transport employment
Impacts of COVID-19 on employment fairness in the transport industry – challenges, employer support and flexible working
info:eu-repo/semantics/article
oai:zenodo.org:4669238
2022-05-09T14:56:44Z
user-diamond-project
user-ftt
user-eu
Andrea Gorrini
Rawad Choubassi
Anahita Rezaallah
Dante Presicce
Ludovico Boratto
David Laniado
Pablo Aragón
2021-03-23
<p>The chapter presents a data-driven approach based on the use of Geographic Information Systems and data analytics for assessing the level of accessibility for the women passengers of the railway network service managed by FGC—the Railway Agency in Catalunya (Spain). A series of geolocated open and proprietary datasets related to the land and sociodemographic and mobility characteristics of the Province of Barcelona and to the FGC’s railway network has been analyzed and merged with disaggregated social-media data collected from Twitter. This was aimed at maximizing the diversity of station samples that will be observed, in order to ensure that the observed cases are representative of the different situations and locations of any single station. The selected stations are currently under investigation through on-site observations about universal design indicators and survey questionnaires focused on women passengers’ needs and expectations. Within the objectives of the H2020 project DIAMOND, the final aim of the proposed research is to support the definition of guidelines and policies for the inclusion of women’s needs in the design of future urban transport services.</p>
https://doi.org/10.1007/978-3-030-57332-4_14
oai:zenodo.org:4669238
eng
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/ftt
https://zenodo.org/communities/eu
info:eu-repo/semantics/restrictedAccess
SSPCR 2019, International conference on Smart and Sustainable Planning for Cities and Regions
Urban mobility
Location-based data
GIS
Data analytics
Inclusive transport system
Assessing the Level of Accessibility of Railway Public Transport for Women Passengers Using Location-Based Data: The Case of H2020 DIAMOND Project
info:eu-repo/semantics/article
oai:zenodo.org:6375509
2022-03-22T13:49:41Z
user-diamond-project
user-eu
Wafaa Saleh
Maria Chiara Leva
Augustus Ababio-Donkor
Ajeni Thimnu
2022-03-22
<p>Proceedings of the 10<sup>TH</sup> INTERNATIONAL TRAVEL DEMAND MANAGEMENT (TDM) SYMPOSIUM IN CONJUNCTION WITH TINNGO AND DIAMOND FINAL CONFERENCE titled: Gender and Equality in Transport</p>
https://doi.org/10.21427/yewc-rq34
oai:zenodo.org:6375509
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
TDM, 10th International Symposium on Travel Demand Management, Online, 17-19 November 2021
Gender and Equality in Transport. Proceedings of the 2021 Travel Demand Management Symposium
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:6373221
2022-03-21T13:49:21Z
user-diamond-project
user-eu
Augustus Ababio-Donkor
Wafaa Saleh
Milos Milenkovic
2022-03-21
<p>This document is deliverable, D7.3 “Final impact assessment report”. Deliverable 7.3 defines the framework and methodology for assessing the impact of the DIAMOND project and the extent to which the objective(s) are achieved. This specific objective is directly linked to the main issues identified in each of the use-cases (‘Deliverable D2.2 Methodology and Conceptual framework”): </p>
<ul>
<li>Use Case I - Public Transport Infrastructures (Railways) </li>
<li>Use Case II: Autonomous vehicles </li>
<li>Use Case III: Bike Sharing services </li>
<li>Use Case IV: Employment of Women in Rail Industry and Freight/CSR Protocols </li>
</ul>
<p>The proposed framework for the impact assessment is in two folds; </p>
<ul>
<li>Productive Equity Assessment and </li>
<li>Sensitivity Analysis. </li>
</ul>
<p>The Productive Equity Assessment identifies, measures, and assesses the Equity, Effectiveness and Efficiency (the 3Es) Key Performance Indicators (KPIs) for each Use Case. Two types of sensitivity analysis are conducted: </p>
<ul>
<li>Sensitivity analysis over time and </li>
<li>Sensitivity analysis over space. </li>
</ul>
<p>The Sensitivity Analysis assesses the robustness of results (Top10 FCs) and fairness measures over time and over space. The outputs from the sensitivity analysis have been used to build the impact reports in this deliverable (D7.3).</p>
<p><strong>Summary Findings: </strong></p>
<p>The Fairness characteristics (as identified in WP3 and WP4) are the core of the DIAMOND analysis, and this impact assessment report. Generally, the key findings relate to the Aim of DIAMOND and closely follow the Fairness Characteristics (FCs). The results across the multiple research methods and the intersectional analysis suggest the following conclusions: </p>
<p><strong>Use Case I: </strong><em>Public transport </em></p>
<p>In assessing the impact of the FCs on equity with respect to public transport (UC I), the results suggest that women particularly have accessibility challenges, which should be understood in the context of special needs relating to the family and caring responsibilities that women negotiate with in their daily routines. Specific attention should focus on level of services (accessibility and availability), safety and security, and information provision. The key FCs with the potential to deliver equity for women as users of public transport services relates to accessibility of the stations (such as ramps, escalators and lifts for persons with disabilities) which corresponds to “FC114: Adapt the station access with ramps, escalators and lifts for users with special needs.”, “FC112: Coordinated timetables between the different transport modes in the stations.” and “FC111: Availability of information that indicate and allows access to key destination. The results show that 43% of FCs remained in the top 10 FCs from the analysis of Vertex 1 of the Inclusion Diamond (Public transport Today) and 67% for Vertex 3 (Public transport tomorrow, under the futuristic scenario of Hyperloop). The results indicate 20-80% of the top 10 FCs changed in the hierarchized list in both vertexes, therefore the Top 10 FCs of UC I are sustainable in the mid-term. </p>
<p>40% of Top 10 FCs for POLISH and SPANISH women are different in the UC I, perhaps due to the significant difference between the POLISH and the SPANISH railways infrastructures, as has been shown after the ANOVA analysis. The results can be easily used in fields like aviation, logistic or maritime transport. </p>
<p><strong>Use Case II: </strong><em>Autonomous Vehicles </em></p>
<p>In assessing the impact of the FCs on equity in relation to Autonomous Vehicles (UC II), the results suggest that women are particularly concerned about safety and security and the performance of simultaneous tasks whilst travelling. In relation to women’s use of autonomous vehicles, the most important fairness measures include education about sportive driving mode “FC637: Education about sportive driving mode when it is activated: Benefits and disadvantages”, “FC6327: Automated system for speed controlling” and “FC219: Dissemination and promotional campaigns about safety mechanisms in the case of bad weather.” have a higher equity score. </p>
<p>The results also show that 70% of FCs remained the in the top 10 FCs of Vertex 2 of the Inclusion Diamond (autonomous driving under Level 4+) and 78% for Vertex 4 (autonomous driving over Level 4+). The results indicate that less than 20% of the top 10 FCs changed from the analysis in both vertexes. Therefore, the Top 10 FCs of UC 1I are sustainable in the mid-term. </p>
<p><strong>Use Case III: </strong><em>Bike sharing </em></p>
<p>In assessing the impact of the FCs on equity with respect to Bike sharing, the results suggest that women are particularly concerned about accessibility, safety, awareness and cost. The challenges of women could be understood in the context of the availability and accessibility of the services and the safety of the bicycle infrastructure with respect to shared vehicular/bicycle network and traffic speed. Policy and interventions should focus on ensuring bikes availability at stations, the reliability of the services and providing safe infrastructure. The key FCs with the potential to deliver equity for women as users of bicycle-sharing services are FCs “FC237: Provide recommendations to customers with alternative routes avoiding high-speed roads from point A to B, “FC312: Separate cycle lanes free from vehicular traffic” and “FC332: Safe cycle routes for cycling with children” are the highest rank FCs in the achieving equity in the se of bike-sharing. The finding of this use case can be easily used in fields like scooter sharing and similar services of sharing. </p>
<p><strong>Use Case IV: </strong><em>Employability in the transport sector </em></p>
<p>In assessing the impact of the FCs on equity with respect to women employability in the transport sector, the results suggest that women are particularly concerned about career development and flexible working opportunities. These challenges should be understood in the context women needs relating to the family and childcare responsibilities that most career women also deal with. The key FCs with the potential to deliver equity for women employability in the transport sector are the measure that relates to CSR protocol readiness “FC451: To have ready a written CSR protocol / policy” and FC313: Ability of staff to change shift patterns at short notice to reflect caring needs”. </p>
<p>Similarly, the results show that 82% of FCs remained the in the top 10 FCs of Vertex 3 of the Inclusion Diamond (employment Today) and 85% for Vertex 6 (employment tomorrow, under the futuristic scenario of employment based on logistics of drones). These indicate that less than 20% of the top 10 FCs changed from the analysis in both vertexes. Hence, the Top 10 FCs of UC 1V are sustainable in the long-term. </p>
<p>40% of Top 10 FCs for POLISH and SPANISH women are different in the UC IV, we however, do not have any resource to explain the observed difference. </p>
<p>The findings of UC IV (employment of women in jobs related with the transport system) can be easily used in fields like motor vehicle drivers, building frame and related trade workers, managers of small enterprises, construction, physical and engineering science technicians and machinery mechanics.</p>
https://doi.org/10.5281/zenodo.6373221
oai:zenodo.org:6373221
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6373220
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
D7.3 - Final Impact Assessment Report
info:eu-repo/semantics/report
oai:zenodo.org:3826441
2020-06-11T10:08:11Z
user-diamond-project
openaire
user-eu
Gemma D. Molero
Sara Poveda-Reyes
Chris Blache
Rawad Choubassi
Ludovico Boratto
Maria Chiara Leva
Francisco Santarremigia
2020-05-14
<p>This work has the aim of reducing these differences in 4 use cases: Women as users of railway stations, bike sharing and autonomous<br>
vehicles and women as jobholders.</p>
https://doi.org/10.5281/zenodo.3826441
oai:zenodo.org:3826441
eng
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.3826440
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Structuring the evaluation of the inclusion of women within the transport sector: A use case study based on the inclusion diamond model.
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:4716059
2021-04-26T06:19:44Z
user-diamond-project
Hail, Yvonne
McQuaid, Ronald
2021-03-08
<p>This paper discusses the concept of ‘fairness’ in transport, specifically regarding women using public transport, future autonomous vehicle taxis or bicycle sharing. Women generally have varying and complex mobility patterns compared to men and suffer disproportionate fairness issues when using transport. Different concepts of fairness are explored, including: equality of opportunity, equity and justice (including procedural, social and distributional justice). While each of these concepts has different implications for women using transport, it is also recognized that fairness principles should apply to all people (regardless of sex, gender or other characteristics). Analysis of the different forms of mobility, as represented by public transport, autonomous vehicles and bicycle sharing, illustrate a variety of specific fairness issues. Factors such as safety and security, cost, physical design of infrastructure and vehicles, and characteristics such as low-income or childcare responsibilities arise in each case. The three cases also indicate a range of both horizonal fairness factors (similar people being treated similarly) and vertical fairness factors (such as more disadvantaged people receiving greater support). Further research is required into setting frameworks for a more comprehensive inclusion of, and balance between, different concepts of fairness and their interactions in both transport policy and practice.</p>
https://doi.org/10.5281/zenodo.4716059
oai:zenodo.org:4716059
eng
Zenodo
https://hdl.handle.net/Sustainability 2021, 13, 2919. https://doi.org/10.3390/su13052919
https://zenodo.org/communities/diamond-project
https://doi.org/10.5281/zenodo.4716058
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Sustainability, (2021-03-08)
fairness; equal opportunity; equity; social justice; women; public transport; autonomous vehicles; bicycle/bike sharing
The Concept of Fairness in Relation to Women Transport Users
info:eu-repo/semantics/article
oai:zenodo.org:6373262
2022-03-21T13:49:21Z
user-diamond-project
user-eu
Andrea Gorrini
2022-03-21
<p>This document is the ‘Deliverable 8.1.2: Data Management Plan revision period 1’ of the DIAMOND Project, funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement Number 824326. </p>
<p>The main aim of DIAMOND Project is to turn data into actionable knowledge with notions of fairness, in order to progress towards an inclusive and efficient transport system, by the development of a methodology based on the collection and analysis of disaggregated data, including new sources, analytics and management techniques. </p>
<p>This document is the second version of the Data Management Plan (DMP), consisting of detailed information regarding the type and format of data that have been collected and generated, its origin, data utility and how DIAMOND project research data will be findable, accessible, interoperable and reusable (i.e. FAIR). </p>
<p>The purpose of DMP is to provide the members of the consortium with an analysis of the main elements of the data management policy regarding all the datasets generated by the project. The DMP is a living document that will evolve during the lifespan of the project, the second version D8.1.3_Data Management Plan will be published by the end of project on November 30, 2021.</p>
https://doi.org/10.5281/zenodo.6373262
oai:zenodo.org:6373262
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6373261
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
D8.1.2 - Data Management Plan revision period 1
info:eu-repo/semantics/report
oai:zenodo.org:6373274
2022-03-21T13:49:24Z
user-diamond-project
user-eu
Ron McQuaid
Yvonne Hail
2022-03-21
<p>This Deliverable reports the final Responsible Research & Innovation (RRI) actions carried out during the final (3rd) year of the DIAMOND project and briefly summarises ethics issues over the life of the project. The main ethics processes for DIAMOND and accompanying Guidelines were set up in year one (D8.2 and D8.4) and are as reported in the first annual report (D8.5). </p>
<p>Year 2 (2019-2020) activities mainly involved approval of remaining ethical decisions so that empirical research could be carried out (D8.6). This included adapting the research processes to take account of the impact of the Covid-19 pandemic, particularly from around April 2020. This resulted in: a) the meetings of the ethics board being held online; b) additional applications to allow changes in data gathering due to the effects of the pandemic. Both of these changes resulted in amendments to orginal plans, however the research continued to operate effectively and the ethics revisions did not delay the overall project significantly. </p>
<p>In year 3 (2022-2022) there were no major ethical issues raised and some additional data collection instruments were given ethical approval. Overall the ethical processes seem to have worked well for the project and partners.</p>
https://doi.org/10.5281/zenodo.6373274
oai:zenodo.org:6373274
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6373273
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
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D8.7 - Responsible Research & Innovation Final report (RRI) Report 2020-2022
info:eu-repo/semantics/report
oai:zenodo.org:6372457
2022-03-21T13:49:18Z
user-diamond-project
user-eu
Dr Yvonne Hail
Dr Anne-Marie Cullen
Professor Ronald McQuaid
2022-03-21
<p>This paper is part of Task 4.2 in Work Package 4 and expands on the work already completed in Work Packages 2 and 3 regarding the analysis of data collected for the four Use Cases of the project and on other Deliverables in WP4. The following research questions guided this deliverable: </p>
<ul>
<li>1. What are the key factors affecting women’s travel choices? </li>
<li>2. How relevant are they in discriminating between different transport modalities? </li>
<li>3. How different job characteristics, and/or contextual factors, in the transport sectors may affect gender balance and or female employability in different areas? </li>
<li>4. What are the key factors influencing career choices for women in different groups and areas in relation to working in transport? </li>
</ul>
<p>Such document consists of 4 sections: </p>
<p>Section 1 sets out a brief definition of fairness as operationalised in the DIAMOND project and a working gender-based definition of women (based on D3.1).</p>
<p>Section 2 presents the mixed methods methodology used in this report. First, a scoping literature review adds to the existing literature already analysed in WPs 2 and 3 and Task 4.1, in order to develop concepts which will support the thematic qualitative analysis. Second, the report analyses the relevant socio-economic, demographic and psychological data developed in the project. This is based on both the quantitative (set out in D4.3 and so only briefly summarised here) and the qualitative analysis (which is reported in detail in this deliverable, D4.2). The conclusions of combining these different forms of analysis are then presented. Due to the Covid-19 epidemic, the qualitative research interviews were generally conducted over the internet. </p>
<p>Section 3 considers Questions 1 and 2 (above) on factors affecting women’s travel choices and modal differences. It provides a synopsis of the literature found during the review and a summary of the results of the project’s quantitative and qualitative research related to Use Cases I, II and III, i.e., women as users of public transport, women as users of autonomous vehicles and women as users of bike sharing schemes.</p>
<p>Section 4 considers Questions 3 and 4 (above) and investigates women’s needs as employees in the transport sector. It specifically considers the key factors regarding fairness and inclusiveness of employment for women across the transport sector, especially women working on-site and off-site in the railway, freight transport and the logistics sectors. The main evidence presented in this deliverable is based on qualitative thematic analysis (based primarily on the fairness characteristics used in DIAMOND) of interviews with those working in transport sectors (at various levels) in the partner countries of Ireland, UK, Spain and Poland. </p>
<p>The qualitative findings set out in this report also help explore issues raised in applying the fairness characteristics and so also inform the wider DIAMOND project. Hence the qualitative data presented here (including the extensive quotations set out in the Appendices) will help to inform the remainder of the project by providing a resource to add to analysis and tool development in the project. They also crucially, to give voice to the lived experience of the predominantly female people affected by fairness in transport. </p>
<p><strong>Summary Findings: </strong></p>
<p>The Fairness characteristics (as identified in WP3) are the core of the DIAMOND analysis, and the themes identified in this Deliverable support their appropriateness in the project. Generally, the key findings related to the Research Questions closely followed the Fairness Characteristics. </p>
https://doi.org/10.5281/zenodo.6372457
oai:zenodo.org:6372457
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6372456
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
D4.2 - Socio-Economic, Demographic and Psychological Analysis
info:eu-repo/semantics/report
oai:zenodo.org:6372412
2022-03-21T13:49:19Z
user-diamond-project
user-eu
Marina Presas Quintana
2022-03-21
<p>Eurecat is responsible for designing and implementing DIAMOND communication strategy through its Research Communications Office, but all consortium partners will be involved in it. This deliverable details the communication plan, aiming at raising awareness of as many relevant actors as possible on the activities and results derived from the project in order to: promote and position the project results; reach and involve where possible the transport industry, transport professionals and society at large (general public), to support the exploitation of project results.</p>
<p>The channels considered in the communication plan are: designing the project’s corporate identity, social media channels, official website, promotional materials (brochure, flyers, posters), media relations and email marketing.</p>
https://doi.org/10.5281/zenodo.6372412
oai:zenodo.org:6372412
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6372411
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
D1.3 - DIAMOND Communication Plan
info:eu-repo/semantics/report
oai:zenodo.org:6372486
2022-03-21T13:49:23Z
user-diamond-project
user-eu
Elena Garcia
Sara Poveda
Gemma Molero
Ashwani Malviya
Francisco Santarremigia
Maria Chiara Leva
Mary Kinahan
Luca D'Alonzo
Francesco Fabbri
Guillermo Cid
Pablo Aragón
David Laniado
Andrea Gorrini
Rawad Choubassi
Augustus Ababio-Donkor
Wafaa Saleh
Begoña Mateo
2022-03-21
<p>This document reports the results of the different computational analyses performed on the data collected in the project. </p>
<p>After a brief introduction, the document includes several sections devoted to different kinds of analysis. In each section, we have first an introduction on the objectives of the analysis presented in the context of the Diamond project, then it offers a description of the methodology, and the presentation of the results obtained, organized by use case. Finally, a last section is devoted to discussion and general conclusions. </p>
<p>The computational methods employed for the data analysis include: </p>
<ul>
<li>Analysis of structured open data to define indicators that characterize the area surrounding each urban railway station (use case I) or docking station (Use case III) along socio-demographic, territory and mobility aspects, and to select relevant stations for the subsequent steps of the analysis (Section 2). </li>
<li>Analysis of observations, to characterize the selected urban railways infrastructures (Use case I) and docking stations (Use case III) (Section 3). </li>
<li>Analysis of experimental sessions in a simulator laboratory setting, to validate the impact of autonomous vehicles driving experience and passengers’ emotional appraisal, considering gender and other relevant intersectional variables (Use case II), combined with the analysis of user satisfaction surveys for Use case II (Section 4). </li>
<li>Analysis of social media data collected from Twitter, to get insights on the concerns of men and women regarding topics related to Use case I, II and III (Section 5) </li>
<li>Analysis of user satisfaction surveys on service provisions (Use cases I and III) and employment conditions (Use case IV), exploring and assessing differences in user satisfaction according to their socio-demographic characteristics, by means of statistical tests, regression analysis, factor analysis (Section 6). </li>
<li>Analysis of users and employees' priorities from Dynamic Augmentative Delphi surveys, employing Analytic Hierarchy Processes to assess the ranking between priorities for different groups of respondents (Section 7). </li>
<li>Bayesian network analysis to obtain a weighted hierarchy of fairness characteristics, based on open and proprietary structured data, observations and UESI questionnaires, and a statistical assessment of significant differences between users along socio-demographic variables (Section 8). </li>
</ul>
<p>While the document is structured along the different kinds of analysis performed, the final conclusions present a summary of the main results, organized per use case (Section 9).</p>
https://doi.org/10.5281/zenodo.6372486
oai:zenodo.org:6372486
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6372485
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
D4.3 - Computational analysis report
info:eu-repo/semantics/report
oai:zenodo.org:10400553
2023-12-18T09:01:44Z
user-diamond-project
user-eu
Santarremigia, Francisco
Poveda-Reyes, Sara
Malviyaa, Ashwani Kumar
Molero, Gemma Dolores
García Jiménez, Elena
2023-12-13
<p>This study aims to improve Fairness from a gender perspective in 4 use cases in transport. Fairness Characteristics (FCs) were identified and clustered in 3 levels by literature review and FGs. A weighted hierarchy of FCs was defined after data collection and data analysis through the AHP and BNs. An interdisciplinary panel identified recommendations per each FC level 3. The Rasch model assesses Fairness, and Bayesian inferences predict the impact of implementing a recommendation. Connections and access points to all users in public transport, 1-minute safety training video in autonomous driving, availability of electric bikes, and flexibility against maternity in the job are critical recommendations for Fairness in transportation. Future studies should focus on specific profiles. This work is interesting to organizations in the transport sector, researchers, and policymakers.</p>
https://doi.org/10.1016/j.trpro.2023.11.471
oai:zenodo.org:10400553
eng
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
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Transportation Research Procedia, 72(2023), 806-813, (2023-12-13)
TRA, TRA 2022, Lisbon, Portugal, 14-17 November
A methodological approach to reveal fair and actionable knowledge from data to support women's inclusion in transport systems: The Diamond approach
info:eu-repo/semantics/conferenceProceedings
oai:zenodo.org:6373208
2022-03-21T13:49:24Z
user-diamond-project
user-eu
Maria Chiara Leva
Mary Kinahan
Aoife Burns
2022-03-21
<p>This document describes the outcome of the data analysis for the use cases in the DIAMOND project as part of Work Package 4 and the development of a socio demographic model for inclusiveness self-evaluation on various application based on the results of the WP. Specifically, it will provide a representation of the knowledge acquired in this WP and how it should feed the Diamond model, which will represent the first produced output, and the lessons learnt from the data analysis.</p>
<p>This task also summarized the knowledge acquired from workshops organized one in month 25 and one in month 28, involving experts from the Advisory Board to get their opinions and feedback on the interdisciplinary analysis findings. All partners who have carried out the studies participate in the integration of their results. The output produced by this WP was provided to WP5 for the development of the Toolbox.</p>
https://doi.org/10.5281/zenodo.6373208
oai:zenodo.org:6373208
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6373207
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
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D4.4. - Integrated interdisciplinary analysis report
info:eu-repo/semantics/report
oai:zenodo.org:6372077
2022-03-21T13:49:17Z
user-diamond-project
user-eu
Ajeni Ari Thimnu
Aoife Burns
Dr. Maria Chiara Leva
Dr. Mary Kinahan
Hector Diego Estrada Lugo
Dr. Ron McQuaid
Dr. Yvonne Hail
Dr. Francisco Santarremigia
Dr. Elena García Jiménez
Dr. Sara Poveda Reyes
Chris Blanche
Marina Presas Quintana
Patricia Castillo Cardenas
Dr. Andrea Gorrini
Aleksandra Puzyńska
Załęcki Piotr
Filipczak Łukasz
Trzaskowska Marta
Ricard Barberà-Guillem
Begoña Mateo Martínez
2022-03-21
<p>This White Paper considers key issues and actions for moving towards a fair, inclusive, and women participated mobility and transport system. Within this context, the document will attempt to recommend concrete measures to enhance women’s participation as users and employees to support the design of transport modes and access of infrastructure able to be more inclusive and informed also by women’s need. The White Paper is informed by the main findings and recommendations of the EU Horizon 2020 funded DIAMOND project and other related projects.</p>
https://doi.org/10.5281/zenodo.6372077
oai:zenodo.org:6372077
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6372076
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
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White Paper - Addressing gender-specific needs in Europe's current and future transport systems
info:eu-repo/semantics/report
oai:zenodo.org:6375417
2022-03-22T13:49:45Z
user-diamond-project
user-eu
Gemma Dolores Molero
Sara Poveda-Reyes
Ashwani Kumar Malviya
Elena García-Jiménez
Maria Chiara Leva
Francisco Enrique Santarremigia
2022-03-22
<p>Previous studies have highlighted inequalities and gender differences in the transport system. Some factors or fairness characteristics (FCs) strongly influence gender fairness in the transport system. The difference with previous studies, which focus on general concepts, is the incorporation of level 3 FCs, which are more detailed aspects or measures that can be implemented by companies or infrastructure managers and operators in order to increase fairness and inclusion in each use case. The aim of this paper is to find computational solutions, Bayesian networks, and analytic hierarchy processes capable of hierarchizing level 3 FCs and to predict by simulation their values in the case of applying some improvements. This methodology was applied to data from women in four use cases: railway transport, autonomous vehicles, bicycle sharing stations, and transport employment. The results showed that fairer railway transport requires increased personal space, hospitality rooms, help points, and helpline numbers. For autonomous vehicles, the perception of safety, security, and sustainability should be increased. The priorities for bicycle sharing stations are safer cycling paths avoiding hilly terrains and introducing electric bicycles, child seats, or trailers to carry cargo. In transport employment, the priorities are fair recruitment and promotion processes and the development of family-friendly policies.</p>
https://doi.org/10.5281/zenodo.6375417
oai:zenodo.org:6375417
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6375416
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
fairness
transport
gender
railway stations
bicycle sharing
autonomous vehicles
transport employment
Bayesian networks
Computational Solutions Based on Bayesian Networks to Hierarchize and to Predict Factors Influencing Gender Fairness in the Transport System: Four Use Cases
info:eu-repo/semantics/article
oai:zenodo.org:3821987
2020-05-13T20:20:36Z
user-diamond-project
openaire
user-eu
Eurecat Communication Department
2020-05-12
<p>Rollup for DIAMOND project </p>
https://doi.org/10.5281/zenodo.3821987
oai:zenodo.org:3821987
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.3821986
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
transport research
gender research
DIAMOND Rollup
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:6372447
2022-03-21T13:49:18Z
user-diamond-project
user-eu
Andrea Gorrini
2022-03-21
<p>The following document is ‘Deliverable 4.1 Datasets description’ in the framework of the project titled ‘Revealing fair and actionable knowledge from data to support women’s inclusion in transport systems.’ (Acronym: DIAMOND; Grant Agreement No 824326). </p>
<p>The document describes the datasets collected through the activities of ‘Work Package 3 – Data collection’1 (from M9-July 2019 to M25-November 2020), focusing on each Use Case of DIAMOND: </p>
<ul>
<li>Use Case I: Public Transport Infrastructures (Railways); </li>
<li>Use Case II: (Emotion in) Autonomous Passenger Car; </li>
<li>Use Case III: Vehicle (Bike) Sharing Fleet Management; </li>
<li>Use Case IV: Employment of Women in Rail Industry and Freight/CSR Protocols. </li>
</ul>
<p>Data collection campaigns have been based on the methodological approach of the DIAMOND project2. This relies on the Fairness Characteristics (FCs) identified through Thematic Analysis and on a series of interdisciplinary tools and methods (as listed below). The heterogeneous and disaggregated datasets gathered through the executed data collection campaigns are classified in three main categories:</p>
<ul>
<li>Thematic analysis:
<ul>
<li>Literature review (All Use Cases); </li>
<li>Focus Groups (All Use Cases); </li>
<li>Semi structured interview (All Use Cases). </li>
</ul>
</li>
<li>Service and Employers’ Provision Data:
<ul>
<li>Structured data (Use Cases I, III and IV); </li>
<li>Observations (Use Cases I, II and III); </li>
<li>Users and Employees’ Satisfaction Index questionnaires (all Use Cases); </li>
<li>Social media data (Use Cases I, II and III). </li>
</ul>
</li>
<li>Users and Employees’ Perception Data:
<ul>
<li>Dynamic Argumentative Delphi survey questionnaires (all Use Cases). </li>
</ul>
</li>
</ul>
<p>Deliverable 4.1 is aimed at reporting the datasets collected for the DIAMOND project including information about the identification of dataset sources, data collection tools, data collection timeline and responsible partners of the Consortium for each data collection activity. </p>
<p>Within the objectives of the ‘Work Package 4 – Interdisciplinary model creation’, the Service and Employers’ Database will be analysed using Regression Analysis and Bayesian Networks, while the Users and Employees Perception Database will be analysed using Analytic Hierarchy Processes.</p>
https://doi.org/10.5281/zenodo.6372447
oai:zenodo.org:6372447
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6372446
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
D4.1 Datasets description
info:eu-repo/semantics/report
oai:zenodo.org:3821946
2020-05-13T20:20:36Z
user-diamond-project
openaire
user-eu
Eurecat Communication Department
2020-05-12
<p>General trifold of Diamond project</p>
https://doi.org/10.5281/zenodo.3821946
oai:zenodo.org:3821946
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.3821945
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
gender research
european project
transport
Diamond project trifold
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:4602051
2021-03-15T07:57:59Z
user-diamond-project
Sara Poveda Reyes
Ashwani Kumar Malviya
Mª Elena García Jiménez
Gemma Molero Prieto
Maria Chiara Leva
Francisco Santarremigia Rosaleny
2021-03-05
<p>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.</p>
https://doi.org/10.3390/su13052845
oai:zenodo.org:4602051
ang
Zenodo
https://zenodo.org/communities/diamond-project
info:eu-repo/semantics/openAccess
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AHP; multicriteria decision method; transport; women; public transport; employment; bicycle sharing; autonomous vehicles; fairness and equity in transport
Application of Mathematical and Computational Methods to Identify Women's Priorities in Transport
info:eu-repo/semantics/article
oai:zenodo.org:4772974
2022-05-09T14:56:43Z
user-diamond-project
user-ftt
user-eu
Andrea Gorrini
Rawad Choubassi
Federico Messa
Wafaa Saleh
Augustus Ababio-Donkor
Maria Chiara Leva
Lorraine D'Arcy
Francesco Fabbri
David Laniado
Pablo Aragón
2021-05-07
<p>Within the objectives of the H2020 DIAMOND project, the paper investigates women’s needs and expectations as users of the bike-sharing service managed by Syndicat Mixte Autolib et Velib Métropole in the territory of Paris Region-Petite Couronne (France). The paper presents a thematic literature review focused on gender inclusion in bike-sharing schemes. The proposed methodological approach is based on (i) Geographic Information Systems for the analysis of geolocated open datasets related to land, sociodemographic and mobility characteristics of the areas surrounding each docking stations. This was aimed at identifying a short list of suitable bike-sharing docking stations, which were further characterized through: (ii) structured proprietary data focused on travel demand; (iii) onsite observations focused on universal design indicators; (iv) survey questionnaires focused on women’s concerns, needs and expectations; and (v) social media data from Twitter focused on the opinion of the end-users. Results showed that women use the VELIB’s bike-sharing service much less than men (about 30% of the total number of users), since they are more concerned about the following issues: accessibility (e.g., availability of bikes at the docking stations, distance to the nearest station, type and quality of the cycle paths); safety and security (e.g., perception of danger and insecurity while cycling and using the current bicycle infrastructures); social constraints (e.g., perceptions and cultural stigmatization associated with cycling and bike-sharing); weather and topography (e.g., impact of weather and the urban terrain on cycling and bike-sharing). The final aim of the H2020 DIAMOND project is to support the definition of guidelines and policies for the inclusion of women’s needs in the design of future bike-sharing services.</p>
https://doi.org/10.3390/su13095241
oai:zenodo.org:4772974
Zenodo
https://zenodo.org/communities/diamond-project
https://zenodo.org/communities/ftt
https://zenodo.org/communities/eu
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Creative Commons Attribution 4.0 International
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Sustainability, 13(9), 5241(Special Issue 'Mobility for Sustainable Societies: Challenges and Opportunities), (2021-05-07)
gender and mobility
bike-sharing service
data analytics
inclusive transport system
Unveiling Women's Needs and Expectations as Users of Bike Sharing Services: The H2020 DIAMOND Project
info:eu-repo/semantics/article