The importance of complexity for the research agenda in the built environment

Architectural Engineering and Design Management

Volumn 4, Issue 1, 2008, Pages 5-14

  Allen, Peter M ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

Co evolution; Complexity; Evolution; Integrated models; Multi agent models; Sustainability; Urban dynamics

Indexed keywords

EID: 77950943306     PISSN: 17452007     EISSN: 17527589     Source Type: Journal    
DOI: 10.3763/aedm.2008.S907     Document Type: Article

References (7)

1. Allen, P. M., 1983. “ ‘Self-organization and evolution in urban systems’ ”. In Cities and Regions as Non-Linear Decision Systems, AAAS Selected Symposium 77 Edited by:Crosby, R., Boulder, US:Westview Press.
2. Allen, P. M., 1990. ‘Why the future is not what it was’. Futures, 22 (6):555–569.
3. Allen, P. M., 1997a. ‘Cities and regions as evolutionary complex systems’. Geographical Systems, 4:103–130.
4. Allen, P. M., 1997b. Cities and Regions as Self-Organising Systems:Models of Complexity London:Taylor and Francis.
5. Allen, P., Sanglier, M., Engelen, G., and Boon, F., 1985. “ ‘Towards a new synthesis in the modelling of evolving complex systems’ ”. In Environment and Planning B:Planning and Design 65–84. Special Issue, 12(1)
6. Prigogine, I., 1980. From Being to Becoming:Time and Complexity in the Physical Sciences San Francisco:Freeman.
7. White, R., and Engelen, G., 2001. ‘High-resolution integrated modelling of the spatial dynamics of urban and regional systems’. Computers, Environment and Urban Systems, 24 (5):383–400.