Industrial heritage is one of the most neglected types of cultural heritage and urban landscape, often being vulnerable to rather than blessed by urban (re)development. China is confronting an unprecedentedly intensive challenge of preserving industrial heritage, as the country has rapidly shifted towards post-industrialization only several years after being recognized as the “world’s factory” in the 21st century. However, none of the existing literature has systematically investigated the typology and preservation of China’s post-1949 industrial heritage. This research selects Shanghai—the largest metropolis and a prime industrial hub in China— for the case study, and examines 83 accredited modern industrial heritage sites in the city through typological analysis, descriptive statistical analysis, and GIS spatial analysis. Two principal findings are identified. First, there is a diverse range of the post-1949 industrial heritage in China, by industries, time, and spatial forms. Particularly the industrial block—where industrial development is intermingled with the surrounding urban fabric—is the dominant spatial type. Second, the preservation and regeneration of China’s post-1949 industrial heritage in the suburbs are substantially more complex and more threatened than those in the inner city. This study concludes by providing implications for enhanced management and investigation of China’s post-1949 industrial heritage preservation and regeneration.

As China shifts from rapid to high-quality development, urban growth has exhibited allometric patterns. This study evaluated land use efficiency from the perspective of architectural space, focusing on 41 cities in the Yangtze River Delta urban agglomeration from 2010 to 2020. A land development intensity index was constructed at both the provincial and municipal levels using the entropy weight method, integrating floor area ratio, building density, and functional mix. The spatiotemporal characteristics of land development intensity and population density were analyzed, and a coordination coupling model was applied to identify mismatches between land and population. The results reveal: (1) Temporally, the imbalance of “more people, less land” in the Yangtze River Delta diminished. Spatially, leading regions exhibit a diffusion effect. Shanghai showed a decline in both population density and development intensity; Zhejiang maintained balanced development; Jiangsu experienced accelerated growth; and Anhui showed signs of catching up. (2) Although the two indicators showed a high coupling degree and strong correlation, the coordination degree remained low, indicating poor quality of correlation. The land-population relationship demonstrated a fluctuating pattern of “strengthening–weakening” over time. Shanghai exhibited the highest coordination, while more than half of the cities in Jiangsu, Zhejiang, and Anhui still needed optimization. (3) Unlike previous findings that linked such patterns to shrinking cities, in this transformation stage, the number of cities where land development intensity exceeded population density continued to grow in advanced regions. This study first applied 3D building data at the macro scale to support differentiated spatial policies.