Data · dataset · 2011
The Application of Multi-Criteria Decision Analysis for the Assessment of Sustainable Development to Residence Community
Listed in Harvard Dataverse
When the trend of development and management of human residence environment becomes focusing on the concept of sustainable development (SD) over the world, the concept of \"thinking globally, action locally\" needs to be transferred into specific and practicable implementations.
Description
Hence, in order to fulfill SD to residence environment effectively, local action principle needs to be established based on the location\'s characteristics.
Besides, in the implementation, the correspondence of the concept for the geographical space must be distinguished firstly, and then the objective and effective evaluation method must be developed. With the rapid changing time and dense population with small land area, the dwelling in Taiwan has been developed toward the type of housing with high-rise, high density and centralization. In addition, industrialization, urbanization and globalization have pushed traditional community, which possessed the characteristics of high social interaction, shared ties, and geographical location mixed-use, into \"housing community (HC)\".
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The HC emphasizes the satisfaction of personal living quality, privacy and safety, and is in the form of cluster and single-use. In order to guide and implement SD effectively, this paper first searches the relevant possible impact factors (PIFs) of the SD for the HC. Fuzzy Delphi method (FDM) is applied next to extract the factors for further analysis.
Furthermore, since there is complex interdependence among objectives and among criteria, this research examines the relationship thorough expert group discussion and form the evaluation model. The analytic network process (ANP) method, which can solve multi-attribute decision II analysis (MADA) problems effectively, is employed next to solve the model. Through the systematic analysis, a subjective and qualitative perception problem can be transformed and solved in an objective and quantitative evaluation model.
As a result, the abstract concept of SD can be applied in a distinct network model suitably. The conclusion and results obtained from the operation of the evaluation model not only can be a foundation to implement the sustainable concept and a recommendation for government’s related policy making, but also can be a guidance for planning and practicing in the future.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E96010-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e96010-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Provenance · 1 source records, 5 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E96010-1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |