Planning is faced with the challenge of designing public open spaces that meet the diverse needs of everyday life. Gender-sensitive planning can facilitate the development of gender-responsive... Show More

Planning is faced with the challenge of designing public open spaces that meet the diverse needs of everyday life. Gender-sensitive planning can facilitate the development of gender-responsive public spaces by considering the specific needs of different groups. Innovative digital tools are available for collecting and analysing the use of open spaces. However, most of these tools do not integrate group-specific requirements. This article explores what such integration might entail in terms of tool use and the design of the participatory process. It describes the typical planning phases and provides an overview of digital tools classified according to the intensity levels of participation. The application of the tools is then described based on two use cases. The research findings indicate that the primary advantage of using digital tools is the multiple use of the gender-disaggregated data generated. To fully exploit the benefits of digitally supported participation processes, it is necessary to develop seamless tool chains that allow for differentiated data collection and processing.

COVID-19 pandemic has spread rapidly affecting the entire world. During the fight against the pandemic, hospitals are insufficient to meet the needs. This study aims to set the basis for optimal... Show More

COVID-19 pandemic has spread rapidly affecting the entire world. During the fight against the pandemic, hospitals are insufficient to meet the needs. This study aims to set the basis for optimal site selection of quarantine hospitals. Further, to determine the critical factors influencing this selection. The Dual Level Location Suitability Index (DLLSI) proposed methodology provides decision maker with the optimal city and the optimal sites in the selected city for hospital construction. Analytical Hierarchy Process approach is implemented as a part of this study with 14 criteria used to evaluate the alternatives. Safety, accessibility, and availability criteria are also influencing the site selection. The results of DLLSI proposed methodology implementation show the optimal city and the optimal potential sites. It is observed that potential optimal sites located in optimal city. This is considered as self-evaluation, one of the contributions for the proposed methodology. Furthermore, the results of the proposed model are robust, realistic, and supportive for decision makers.