Can place-keeping be considered as urban commons or occurring through the sharing of activities? If so, then specifically, how? This paper discusses long-term place-keeping of Singapore's neighbourhood green spaces as a shared practice, actively engaging citizens in shared responsibilities and collective efforts in transitioning a 'public' space to a 'common' space. We discuss community gardens as a shared urban space and examine two initiatives for neighbourhood green spaces characterized by active involvement of citizens in place-keeping: Community in Bloom (CIB) and Allotment Gardens (AG). Six case studies were examined to understand the current process of shared green space management. An integrated Policy Arrangement Approach (PAA) framework was adopted to analyse the governance arrangements and evaluate the spatial qualities of the community gardens (CIB and AG). Our analysis highlights the positive socio-economic impact of community-led green space management through effective shared place-keeping strategies. It emphasizes the need for an innovative participatory governance approach with a conscious balance between 'autonomy' and 'authority' as the key to long-term place-keeping. Localized community initiatives within a mosaic governance model with flexible partnerships between authorities and citizens would be a good starting point in facilitating shared governance of green spaces in Singapore's public residential estates.
Integrated mixed-use developments are increasingly taking the form of vertical extensions of urban spaces on the ground. The spatial networks within the evolving vertical neighbourhoods, their relationships with the larger urban fabric, and the user interactions within these complex multi-layered urban built environments are numerous and varied. This paper presents an analytical framework to map and analyse the pedestrian connectivity within the vertically integrated urban open space network and its interactions with the ground level urban fabric using a Network Science-based approach. The research uses Kampung Admiralty, a first-of-its-kind building site scale 'vertical city' prototype in Singapore, as a case study. A 3d pedestrian network link model mapping the pedestrian connectivity within the development is generated and analysed to understand the flows and accessibility to the vertically distributed urban open spaces. This 3d pedestrian link model is further combined with the 2d urban walking network at the ground level to generate an integrated neighbourhood-level walkability analysis. Analysing the two-dimensional connectivity at the ground level and comparing the influence of linking the three-dimensional vertical connectivity to the ground network generates valuable design insights into the spatial performance of vertically integrated developments in their immediate urban context.
In high-density, land-scarce cities like Singapore, the successful translation of ground-level urban qualities and benefits into vertical living is crucial for social, economic, environmental, and ecological sustainability. This research introduces a Network science-based spatial analysis framework to evaluate the connectivity and relationships of vertically integrated urban open spaces. Kampung Admiralty (KA), a unique development integrating housing for the elderly with various facilities, serves as a case study. The methodology combines static spatial network measures and real-world movement data to predict movement flows, accessibility, and connectivity. Lift lobbies and elevated garden connectors emerged as critical paths, effectively distributing pedestrian flows. Landscape spaces played a key role in visual and physical connectivity, offering high recreational and social value. Strategic placement of “social attractors” improved space utilization. The study highlights the importance of spatial design parameters in user-space interactions and provides insights into socio-spatial networks at both ground and elevated levels. It identifies key connectors that facilitate effective planning and design of vertically integrated public space networks, promoting social and spatial effectiveness.
Outdoor thermal comfort in urban environmental settings is often investigated at a small scale, e.g., in street canyons. Yet, pedestrian thermal comfort in a district is scarcely assessed, especially in terms of the comprehensive overhead environments such as sky openness, green coverage, and sun exposure. This study provides a systematic methodology to quantify the district-scale pedestrian thermal comfort performance considering overhead environments. Mobile transects were designed for data collection during peak hot hours within a medium-scale district. A portable weather station was used to measure outdoor thermal environments and a fisheye lens was to capture hemispherical images of overhead environments. A universal thermal comfort index, Physiological Equivalent Temperature (PET), was subsequently calculated with the collected thermal environment data. Meanwhile, hemispherical images were segmented into areas of visible sky, overhead greenery, and sun, which were further weighed into corresponding view factors. Eventually, a multiple regression model was developed between PET and view factors together with meteorological variables. The results showed that a decrease in the sky view factor of 0.17 or an increase in the green view factor of 0.21 could reduce PET by 0.5°C. The findings scientifically support resilient urban planning in greening and cooling urban dense spaces for comfortable and liveable environments.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.