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| Placemaking Evaluation× | Behavioral Mapping× | |
|---|---|---|
| Bidang | Urban Studies | Urban Studies |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2000 | 1980 |
| Pengasas≠ | Project for Public Spaces (drawing on William H. Whyte and Jan Gehl) | William H. Whyte; Jan Gehl |
| Jenis≠ | Structured before/after evaluation of public-space quality and use | Systematic spatial observation of how people occupy and move through public space |
| Sumber perintis≠ | Carmona, M. (2019). Principles for public space design, planning to do better. URBAN DESIGN International, 24, 47–59. DOI ↗ | Whyte, W. H. (1980). The Social Life of Small Urban Spaces. Conservation Foundation. ISBN: 9780891640578 |
| Alias | Place Diagram Evaluation, Power of 10 Assessment, Public-Space Quality Audit, Before-and-After Placemaking Study | Place-Centered Mapping, Individual-Centered Mapping, Public Life Observation, Spatial Behavior Mapping |
| Berkaitan | 4 | 4 |
| Ringkasan≠ | Placemaking evaluation is the structured assessment of whether a public-space intervention — a redesigned plaza, a reclaimed street, a new pocket park — actually makes the place more sociable, comfortable, and well used. Drawing on the observational tradition of William H. Whyte and Jan Gehl and codified by the Project for Public Spaces, it combines qualitative place-quality judgements with countable measures of activity, often comparing the same site before and after the change. The result is evidence that a place works for people rather than a designer's assertion that it should. | Behavioral mapping is the systematic, time-sampled observation of how people actually occupy and move through a public space, recorded directly onto a plan of the site. Developed in the urban context by William H. Whyte's filmed studies of New York plazas and formalized into a public-life methodology by Jan Gehl, it produces an empirical picture of where people sit, stand, walk, and gather, rather than where designers assumed they would. The two core modes — place-centered mapping of who is doing what at fixed moments, and individual-centered tracking of how single people move — together turn the invisible life of a space into mappable data. |
| ScholarGateSet data ↗ |
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