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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ghavidelfar, Saeed Shamseldin, Asaad Y. Melville, Bruce W. |
| Copyright Year | 2017 |
| Abstract | Studies evaluating the determinants of water demand typically use household-scale data or aggregated data. The household-scale data basically is preferred since it can reveal the heterogeneity in responses to the demand drivers across different consumer groups. However, the scarcity of household-scale data and its high data collection cost generally have limited the studies to rely on small samples of household data. Thus, they failed to show the spatial variation of water demand. In contrast, the aggregated studies have assessed the spatial variation of water use however they overlooked the variations across households. Using a rich source of GIS-based urban databases in Auckland, New Zealand, this study overcame this challenge by developing a large sample of 31000 single-unit housing through integration of household-level water consumption and property data with micro-scale household demographics information. This large dataset enabled this study to evaluate the water consumption both at the household scale and the census area unit scale. Panel data models were used for the water demand analysis in both scales. The proposed multi-scale analysis approach provided detailed knowledge about water consumption and its major determinants across different consumer groups and urban areas. This information may help water planners to more reliably plan water supply systems and manage consumption in the complex urban environments. |
| Starting Page | 2173 |
| Ending Page | 2186 |
| Page Count | 14 |
| File Format | |
| ISSN | 09204741 |
| Journal | Water Resources Management |
| Volume Number | 31 |
| Issue Number | 7 |
| e-ISSN | 15731650 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2017-03-25 |
| Publisher Institution | European Water Resources Association (EWRA) |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Residential water use Planning Data integration GIS Price elasticity Panel data model Hydrogeology Hydrology/Water Resources Geotechnical Engineering & Applied Earth Sciences Atmospheric Sciences Civil Engineering Environment |
| Content Type | Text |
| Resource Type | Article |
| Subject | Water Science and Technology Civil and Structural Engineering |
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