A Feminist-Driven Computational Urban Design Framework for Mapping Gender-Inclusive Urban Places

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dc.contributor.authorFalahatkar, Hawjin. Fast, Victoria.
dc.date.accessioned2023-08-10T15:19:23Z
dc.date.available2023-08-10T15:19:23Z
dc.date.issued2023-07-14
dc.description.abstractA significant hurdle to employing data-driven and computational methods in urban design for people-place relation analysis is when the research is driven not by in-depth knowledge and theory of the field, but by data, which could lead to data autocracy. This paper aims to develop a feminist-driven framework for computational urban design to map, measure, and analyze gender-inclusive features of urban places. The framework suggests that data requirements for a computational urban design assessment need to be initially determined from domain theory patterns. The results demonstrate that the integration of multi-type, multi-scale, and multi-source datasets is needed to address all gender-inclusive features of urban places. Finally, we conclude that by adopting a theory-driven approach, it is possible to define a research system through which the re-searcher can control the data flow, guide the research path, and benefit from opportunities of geospatial big data and data-driven methods for conducting computational urban design.
dc.identifier.doi10.17605/OSF.IO/6YR5V
dc.identifier.urihttps://hdl.handle.net/1880/116845
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/41687
dc.language.isoen
dc.publisherProceedings of the 18th International Conference on Computational Urban Planning and Urban Management (CUPUM 2023)
dc.publisher.facultyArtsen
dc.publisher.hasversionpublishedVersion
dc.publisher.institutionUniversity of Calgaryen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleA Feminist-Driven Computational Urban Design Framework for Mapping Gender-Inclusive Urban Places
dc.typeArticle
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