Cities and Regions as Self-Organizing Systems (Record no. 476)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01359 a2200253 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9056990713 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250317100354.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250312041998GB eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789056990718 |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 55.99 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | RN |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | RN |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | ARC008000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | SCI026000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | 307.76 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Peter M. Allen |
| 245 10 - TITLE STATEMENT | |
| Title | Cities and Regions as Self-Organizing Systems |
| Remainder of title | Models of Complexity |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Oxford |
| Name of publisher, distributor, etc. | Routledge |
| Date of publication, distribution, etc. | 19980225 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 296 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | A clear methodological and philosophical introduction to complexity theory as applied to urban and regional systems is given, together with a detailed series of modelling case studies compiled over the last couple of decades. Based on the new complex systems thinking, mathematical models are developed which attempt to simulate the evolution of towns, cities, and regions and the complicated co-evolutionary interaction there is both between and within them. The aim of these models is to help policy analysis and decision-making in urban and regional planning, energy policy, transport policy, and many other areas of service provision, infrastructure planning, and investment that are necessary for a successful society. |
No items available.