Locational and Spatial Development Patterns in U.S. Urban Micro Housing
Bing Wang et al.
Abstract
While previous studies of micro-housing have primarily relied on qualitative methods or case-based analyses, this study deploys a more rigorous, data-driven approach. We construct a hand-collected dataset covering 11 major U.S. cities to enable a quantitative examination of this emerging housing form. Drawing on 40 variables from 32 projects, including locational data, physical characteristics, market performance, and amenity features, we identified five distinct micro-housing typologies: TechEd, Dependent, Stand-Alone, Luxury, and Affordable Sharing Economy. In the context of increasing remote work and the growing influence of the sharing economy, these distinct micro-housing types are becoming increasingly relevant as an urban development model. This paper represents a first step toward systematically understanding these building typologies and uncovers their locational patterns through empirical analysis.
1 citation
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.16 × 0.4 = 0.06 |
| M · momentum | 0.53 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.