Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Visual Preference Survey× | Walkability Index× | |
|---|---|---|
| Vakgebied | Urban Studies | Urban Studies |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 1994 | 2010 |
| Grondlegger≠ | Anton C. Nelessen | Lawrence Frank and colleagues |
| Type≠ | Survey eliciting community design preferences by rating images | Composite neighbourhood index of how supportive the built environment is of walking |
| Oorspronkelijke bron≠ | Nelessen, A. C. (1994). Visions for a New American Dream: Process, Principles, and an Ordinance to Plan and Design Small Communities. American Planning Association. ISBN: 9780918286888 | Frank, L. D., Sallis, J. F., Saelens, B. E., Leary, L., Cain, K., Conway, T. L., & Hess, P. M. (2010). The development of a walkability index: Application to the Neighborhood Quality of Life Study. British Journal of Sports Medicine, 44(13), 924–933. DOI ↗ |
| Aliassen | VPS, Visual Preference Analysis, Image Preference Survey, Nelessen Visual Preference Survey | Frank Walkability Index, Walk Score, Neighborhood Walkability Index, Pedestrian Environment Index |
| Verwant | 4 | 4 |
| Samenvatting≠ | A visual preference survey (VPS) elicits a community's design preferences by asking residents to rate a curated set of photographs — of streets, buildings, public spaces, and landscapes — on a simple numeric scale. Developed and popularized by planner Anton Nelessen, it turns the often vague question of what a community wants its environment to look like into comparable scores, revealing which images people reward, which they reject, and where they agree or disagree. The averaged ratings give planners a defensible visual brief grounded in resident preference rather than professional taste. | A walkability index measures how well a neighbourhood's built environment supports walking, by combining a small set of land-use and street-design variables into a single score. The influential index developed by Lawrence Frank and colleagues sums standardized measures of residential density, land-use mix, street connectivity, and retail floor-area ratio, giving extra weight to intersection density because connected street grids most strongly enable walking. Consumer tools such as Walk Score popularized the same idea by scoring an address on the proximity and variety of nearby destinations, making walkability a routine input to planning, public health, and real-estate analysis. |
| ScholarGateGegevensset ↗ |
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