Smart and Sustainable Planning for Cities and Regions, pp. pp 199-212 (March 2021)
Andrea Gorrini; Rawad Choubassi; Anahita Rezaallah; Dante Presicce (Systematica); Ludovico Boratto; David Laniado (Eurecat); Pablo Aragón (University Pompeu Fabra)
Abstract
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.