Berglund-Brown, J; Dobie, I; Hewitt, J; De Wolf, C and Ochsendorf, J (2025) Lifetimes of demolished buildings in US and European cities. Buildings & Cities, 6(1), pp. 1099-1116. ISSN 2632-6655
Abstract
Building lifetime is a useful metric that serves as an input for many analyses, including property valuation, life-cycle assessment, material flow analysis and building stock analysis. Additionally, building lifetime is essential for the adoption of circular economy principles and retrofitting in construction, which ultimately will help reduce greenhouse gas emissions in the built environment. Yet, limited end-of-life building data and a focus on the design lifetimes of buildings means estimates for actual building lifetimes are outdated, not empirically based or else not compared across regions. By first sourcing and cleaning an extensive dataset of approximately 15,000 demolished buildings, this paper conducts a statistical analysis to: empirically estimate average building lifetimes in nine US and four European cities; analyse trends in building lifetimes across a number of design variables; and understand building obsolescence by applying techniques from survival analysis to buildings. An average lifetime of 71 years was found across all buildings, with a standard deviation (SD) of 28. Significant differences in lifetimes of use types were identified, with residential buildings lasting the longest. Age of the city did not appear to influence the survivorship of demolished buildings, but current and past demolition trends could.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building data; building lifespan; building longevity; building stock; demolition; demolition rate; obsolescence; survival analysis |
| Index terms: | building stock, retrofitting, building lifespan, dataset, material flow analysis, greenhouse gas emission, circular economy, statistical analysis, deviation, residential building, survival, cleaning, estimate, built environment, obsolescence |
| Subjects: | construction type, environmental science, material science and engineering, sustainable design, maintenance engineering, asset management, financial and cost management, data science, renovation and retrofit, environmental health, infrastructure and transport systems, data management |
| Topics: | Sustainability, Engineering Principles, Digital Applications, Urban Studies, Construction Technology, Research Practice, Business Strategy, Cost Management |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here