A Design Model for Allocating Interrelated Land-Use Activities in Discrete Space
Bibliographic Data
| ID | 4962477 |
|---|---|
| Authors | Ruth W Arad (Tel Aviv University), Ruth Arad (Tel Aviv University), Joseph Berechman (Tel Aviv University) |
| Year | 1978 |
| Volume | 10 |
| Issue | 11 |
| Pages | 1319-1332 |
| Publication date | 1978-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a101319 |
| OpenAlex | W2034101652 |
| Language | EN |
| References cited | 9 |
A fundamental problem confronting architects and land-use planners is allocating interrelated activities to sites in order to achieve a set of predetermined goals. In some planning situations, such as the design of new towns, all activities can be initially manipulated under very few constraints, and a large number of alternative plans are possible. The generation and selection of the 'best' plan is further complicated when we consider the interrelationships between the locational activities. This paper proposes a multistage planning approach capable of producing and selecting 'best' allocation plans. The structural features of the model are discussed and an optimization procedure is presented. The latter combines the exchange-elements allocation technique with the Newton-penalty-function optimization method. The model's proficiency as a planning tool is examined by use of data drawn from a real-world case study
Civil engineering · Economics · Geography · Land use · Management science · Mathematical optimization · Operations research · Advanced Manufacturing and Logistics Optimization · BIM and Construction Integration · Computer Science · Engineering · Mathematics · Urban and Freight Transport Logistics · Artificial Intelligence
| Highly cited | No |
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