Aksözen, M; Hassler, U and Kohler, N (2017) Reconstitution of the dynamics of an urban building stock. Building Research & Information, 45(3), pp. 239-258. ISSN 0961-3218
Abstract
What are the patterns and influences on the lifespan of the building stock? This paper presents (1) the reconstitution of an urban building stock composed of more than 60000 buildings, (2) the analysis of the development of this stock over a period of 180 years (constructions and demolitions), and (3) the analysis of building mortality patterns and reasons for demolition resulting from historic decisions and regimes. A method to reconstitute the stock from different data sources is presented. The mortality models take into account not only the present demolition rates and the age distribution of the survivors'but also the disappeared buildings. The main results are new insights into the lifespan behaviour of buildings according to their period of construction (cohorts) as well as the reasons for demolition. The demolitions do not show specific explanation patterns, but changing influences of the construction activities over time. The average demolition age of all buildings in Zurich, Switzerland, decreased from over 200 years to fewer than 70 years. A total of 18000 buildings have been demolished over the 180-year period. The presented methods and results can be integrated in multidimensional geographical information systems (GIS) as comprehensive planning, scenario and regulatory tools.;What are the patterns and influences on the lifespan of the building stock? This paper presents (1) the reconstitution of an urban building stock composed of more than 60 000 buildings, (2) the analysis of the development of this stock over a period of 180 years (constructions and demolitions), and (3) the analysis of building mortality patterns and reasons for demolition resulting from historic decisions and regimes. A method to reconstitute the stock from different data sources is presented. The mortality models take into account not only the present demolition rates and the age distribution of the 'survivors' but also the disappeared buildings. The main results are new insights into the lifespan behaviour of buildings according to their period of construction (cohorts) as well as the reasons for demolition. The demolitions do not show specific explanation patterns, but changing influences of the construction activities over time. The average demolition age of all buildings in Zurich, Switzerland, decreased from over 200 years to fewer than 70 years. A total of 18 000 buildings have been demolished over the 180-year period. The presented methods and results can be integrated in multidimensional geographical information systems (GIS) as comprehensive planning, scenario and regulatory tools.;What are the patterns and influences on the lifespan of the building stock? This paper presents (1) the reconstitution of an urban building stock composed of more than 60 000 buildings, (2) the analysis of the development of this stock over a period of 180 years (constructions and demolitions), and (3) the analysis of building mortality patterns and reasons for demolition resulting from historic decisions and regimes. A method to reconstitute the stock from different data sources is presented. The mortality models take into account not only the present demolition rates and the age distribution of the 'survivors' but also the disappeared buildings. The main results are new insights into the lifespan behaviour of buildings according to their period of construction (cohorts) as well as the reasons for demolition. The demolitions do not show specific explanation patterns, but changing influences of the construction activities over time. The average demolition age of all buildings in Zurich, Switzerland, decreased from over 200 years to fewer than 70 years. A total of 18 000 buildings have been demolished over the 180-year period. The presented methods and results can be integrated in multidimensional geographical information systems (GIS) as comprehensive planning, scenario and regulatory tools.;
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | urban dynamics; stock dynamics; planning; cities; building stock; lifespan; lifetime; longitudinal analysis; demolition; data collection; age; mortality; Norway dwelling stock; renovation; construction & building technology; construction; mortality patterns; buildings; historical buildings; satellite navigation systems; multidimensional methods; well construction; life span; age composition; comprehensive planning; geographic information systems |
| Index terms: | building technology, lifespan, longitudinal analysis, construction activity, building stock, multidimensional method, urban dynamics, Norway, dynamics, Switzerland, renovation, mortality, stock dynamics, comprehensive planning, satellite, geographic information system, well construction, information system, age composition, historical building |
| Subjects: | construction operations, data analysis and analytics, analytical methods, economic analysis, health monitoring assessment and metrics, material degradation and durability, urban planning, engineering systems, construction type, infrastructure and transport systems, information systems, systems engineering, networking, geographical techniques and analysis, asset management, Geography, renovation and retrofit, factor and component analysis |
| Topics: | Construction Technology, Governance, Geographical Context, Research Practice, Construction Materials, Engineering Principles, Business Strategy, Health and Safety, Site Management, Digital Applications, Urban Studies |
| 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