Analyzing Housing Prices in Shanghai with Open Data: Amenity, Accessibility and Urban Structure
Published in Cities, 2019
Core contribution: This article reframes housing prices as the outcome of a co-production process linking neighborhood amenities, transport accessibility, and metropolitan urban structure. Using open platform data, it shows how different urban attributes become capitalized into housing value across inner-city and suburban contexts.
Highlights
- Moves open-data housing analysis beyond price mapping toward a mechanism of value capitalization.
- Connects public amenities, private service amenities, and mobility access within one housing-market framework.
- Shows that monocentric structure still organizes Shanghai's housing market despite differentiated neighborhood attributes.
- Argues that spatial access to services also produces institutional questions about who can afford amenity-rich places.
核心贡献: 本文将住房价格理解为邻里设施、交通可达性与都市空间结构共同生产的结果。研究利用开放平台数据说明，不同城市属性会在内城与郊区情境中以不同方式被资本化为住房价值。
核心亮点
- 将开放数据住房研究从价格制图推进到价值资本化机制分析。
- 把公共设施、私人服务设施和交通可达性纳入同一个住房市场解释框架。
- 指出上海住房市场仍受到单中心结构组织，但不同空间圈层的价值机制并不相同。
- 强调服务设施的空间可达性也会转化为谁能负担优质区位的制度性问题。
