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https://scholarbank.nus.edu.sg/handle/10635/157113
DC Field | Value | |
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dc.title | A spatial decision support framework for planning | |
dc.contributor.author | Alva, P | |
dc.contributor.author | Janssen, P | |
dc.contributor.author | Stouffs, R | |
dc.date.accessioned | 2019-07-29T01:14:43Z | |
dc.date.available | 2019-07-29T01:14:43Z | |
dc.date.issued | 2019-01-01 | |
dc.identifier.citation | Alva, P, Janssen, P, Stouffs, R (2019-01-01). A spatial decision support framework for planning 2 : 11-20. ScholarBank@NUS Repository. | |
dc.identifier.isbn | 9.79E+12 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/157113 | |
dc.description.abstract | © 2019 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong. In practice, most planners do not make significant use of planning support systems. Although significant research has been conducted, the focus tends to be on supporting individual tasks, and the outcomes are often the development of new stand-alone tools that are difficult to integrate into existing workflows. The knowledge contribution in this paper focuses on developing a novel spatial decision support framework focusing on the workflows and tool-chains that span across different teams within an organisation, with varying skill sets and objectives. In the proposed framework, the core decision-making process uses set decision parameters that are combined using a weighted decision tree. The framework is evaluated by developing and testing tool-chains for a real-world land suitability case study. The tool-chain was implemented on top of a GIS platform. | |
dc.source | Elements | |
dc.type | Conference Paper | |
dc.date.updated | 2019-07-26T10:27:56Z | |
dc.contributor.department | ARCHITECTURE | |
dc.description.volume | 2 | |
dc.description.page | 11-20 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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File | Description | Size | Format | Access Settings | Version | |
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a spatial decision support framework for planning(2019).pdf | Published version | 8.12 MB | Adobe PDF | OPEN | None | View/Download |
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