Back to Search
Start Over
Long-run urban dynamics: understanding local housing market change in London
- Publication Year :
- 2019
- Publisher :
- Taylor and Francis, 2019.
-
Abstract
- Recently, a literature has emerged using empirical techniques to study the evolution of international cities over many centuries; however, few studies examine long-run change within cities. Conventional models and concepts are not always appropriate and data issues make long-run neighbourhood analysis particularly problematic. This paper addresses some of these points. First, it discusses why the analysis of long-run urban change is important for modern urban policy and considers the most important concepts. Second, it constructs a novel data set at the micro level, which allows consistent comparisons of London neighbourhoods in 1881 and 2001. Third, the paper models some of the key factors that affected long-run change, including the role of housing. There is evidence that the relative social positions of local urban areas persist over time but, nevertheless, at fine spatial scales, local areas still exhibit change, arising from aggregate population dynamics, from advances in technology, and also from the effects of shocks, such as wars. In general, where small areas are considered, long-run changes are likely to be greater, because individuals are more mobile over short than long distances. Finally, the paper considers the implications for policy.
- Subjects :
- Micro level
Market change
HD
education.field_of_study
Sociology and Political Science
05 social sciences
Population
Aggregate (data warehouse)
0211 other engineering and technologies
Urban policy
021107 urban & regional planning
02 engineering and technology
Environmental Science (miscellaneous)
Urban Studies
Dynamics (music)
0502 economics and business
Economics
Economic geography
050207 economics
education
Neighbourhood (mathematics)
Social status
Subjects
Details
- Language :
- English
- ISSN :
- 02673037
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....9a4e1ea21583d7ac83dcd37f919524ad