A Feminist-Driven Computational Urban Design Framework for Mapping Gender-Inclusive Urban Places
Date
2023-07-14
Journal Title
Journal ISSN
Volume Title
Publisher
Proceedings of the 18th International Conference on Computational Urban Planning and Urban Management (CUPUM 2023)
Abstract
A 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.