Investigating the spatial network of playgrounds during covid-19 based on a space syntax analysis case study
10 Playgrounds in Delft, the Netherlands
Bibliographic Data
| ID | 22110665 |
|---|---|
| Authors | Noor Fajrina Farah Istiani (0000-0002-9192-6049, Pancasila University), Miktha Farid Alkadri (0000-0002-9772-742X, University of Indonesia, corresponding author), Akkelies Van Nes (0000-0002-3663-0157, Western Norway University of Applied Sciences), Dalhar Susanto (0000-0003-3191-1942, University of Indonesia) |
| Year | 2023 |
| Volume | 9 |
| Issue | 1 |
| Publication date | 2023-12-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cogent Social Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2331-1886 • E-ISSN: 2331-1886 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/23311886.2022.2163754 |
| OpenAlex | W4319788542 |
| Language | EN |
| Citations received | 3 |
| References cited | 44 |
Playground plays important roles for children not only to accommodate their physical activities but also to improve their mental health. However, it is currently difficult to conduct playground activities regularly due to COVID-19 outbreaks. This study aims to explore the spatial structure of the playground based on space syntax analysis. It specifically investigates six different criteria through simulations (i.e., street accessibility, occupancy rates, visibility graph analysis), and an on-site observational approach (i.e., time sampling and user characteristics). As a result, this study presents playground catalogues that allow one to rethink new configurations of future playgrounds when dealing with pandemic and post-pandemic situations
Architectural engineering · Data science · Geography · Meteorology · Observational study · Occupancy · Pandemic · Space syntax · Statistics · Syntax · Telecommunications · Transport engineering · Visibility · Computer Science · Engineering · Land Use and Ecosystem Services · Mathematics · Medicine · Urban Design and Spatial Analysis · Urban Green Space and Health · Artificial Intelligence
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| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |