The city of Cairo has witnessed a considerable increase in crimes against women, compelling women to avoid or minimise their use of public spaces in recent years. The absence of consideration for women in city planning has made Egyptian women feel further excluded and threatened by the public space, in addition to the patriarchal social relations and religious conservatism. As part of the ‘gender-inclusive cities' research project, this study adopts a participatory approach as a tool for women's empowerment with the goal of promoting bottom-up models of planning, dissolving gendered norms, and improving women's status in a patriarchal society. The chapter provides an example of localised gender-inclusive design addressing women's spatial sensibilities and connecting them to the broader objectives of participation and emancipation. The findings of this study can help planners and policy makers co-create safer public spaces for local women, reduce spatial inequality, and facilitate their right to the city.

The Level of Detail (LoD), a parameter used to define the information contained in building models, is an important factor to consider in modeling building energy at the urban scale. In this research, we conducted a parametric study regarding the data requirements for the estimation of the annual residential heat demand in London. More particularly, the requirement of the observation of the actual roof type (LoD2) and the window-to-wall ratio (LoD3) was examined in two different case study areas. Meanwhile, an adaptive comfort level study was implemented using LoD5 models, and its results were assessed holistically with the heat demand to reveal the energy performance of the buildings. The results showed that there was a minor difference in the upgrade of a lower to higher LoD regarding these parameters. At an urban scale, the energy demand of buildings could be estimated using an assumption of archetypes and building ages. However, with a scalable parametric script developed in places, models with a high LoD could provide more detailed insights in the energy performance assessment without generating excessive workload.