Data · dataset · 2008
Applied Information Integration Theory with Semi-obnoxious Facility Choice
Listed in Harvard Dataverse
The locational choice of Semi-obnoxious facility, e.g. shopping center, hospital, fire station and police station, will consider not so near to avoid traffics and noise.
Description
However the maximum distance to these facility should be also minimised in consideration of equity. Therefore the bicriteria max-min and min-max are included in this study.
Anderson 1981 proposed Information Integration Theory (IIT) for individual decision. And this study takes Semi-obnoxious facility for target and selects a large scale hospital, National Cheng Kung University Hospital, for empirical study with IIT. The major findings are as the fallowing. 1.Residents in group model in terms of “distance-amenity” shows plus model. 2.Residents in group model in terms of “distance-health”, “distance-safety”, and “distance-medical service” shows multiply model. 3.Residents in individual model in terms of “distance-amenity”, “distance-health”, “distance-safety” and “distance-medical service” shows multiply model.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E95023-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e95023-1 ↗
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-E95023-1 | 14 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 |