Wiki source code of 6.16 Proportion of elderly residents
Last modified by Emily West on 2022/01/25 09:54
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| 1 | = 6.16 Proportion of elderly residents = | ||
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| 3 | Project Name: PHUSICOS | ||
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| 5 | (% class="table-bordered" %) | ||
| 6 | |=(% style="width: 237px;" %)Pillar of Sustainable Development|=(% style="width: 646px;" %)Societal challenge | ||
| 7 | |(% style="width:237px" %)People|(% style="width:646px" %)6 - Place Regeneration | ||
| 8 | |||
| 9 | (% class="table-bordered" %) | ||
| 10 | |(% style="width:211px" %)((( | ||
| 11 | ====== **Description** ====== | ||
| 12 | )))|(% style="width:730px" %)((( | ||
| 13 | The Indicator can be defined as the change, in terms of percentage, of the elderly rate in the area where the new infrastructure (both NBS, Hybrid solutions and Grey infrastructures) is implemented. | ||
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| 15 | This Indicator will be equal to 0 in the Baseline Scenario and will be assessed in the Long Term Scenario computing the percentage difference between the Elderly Rate in the Design Scenario and the Elderly Rate in the Baseline Scenario. | ||
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| 17 | In the Long-term scenario Elderly Rate should be calculated considering statistical data made available some years after NBS/Grey/Hybrid solutions have been implemented. | ||
| 18 | ))) | ||
| 19 | |(% style="width:211px" %)((( | ||
| 20 | ====== **Scale as linked to D2.2 framework** ====== | ||
| 21 | )))|(% style="width:730px" %)((( | ||
| 22 | * National | ||
| 23 | * City | ||
| 24 | * Neighborhood | ||
| 25 | ))) | ||
| 26 | |(% style="width:211px" %)((( | ||
| 27 | ====== **Data source [ link to data framework]** ====== | ||
| 28 | )))|(% style="width:730px" %)((( | ||
| 29 | * National Statistical Institute and/or Municipal General Register Office | ||
| 30 | ))) | ||
| 31 | |(% style="width:211px" %)((( | ||
| 32 | ====== **Data needs** ====== | ||
| 33 | )))|(% style="width:730px" %)((( | ||
| 34 | * Population data | ||
| 35 | ))) | ||
| 36 | |(% style="width:211px" %)((( | ||
| 37 | ====== **Expected Outputs** ====== | ||
| 38 | )))|(% style="width:730px" %)((( | ||
| 39 | * Annual | ||
| 40 | * quantitative | ||
| 41 | ))) | ||
| 42 | |(% style="width:211px" %)((( | ||
| 43 | ====== **Calculation methods** ====== | ||
| 44 | )))|(% style="width:730px" %)((( | ||
| 45 | * [[image:1643104281725-677.png]] | ||
| 46 | * [[image:1643104295712-111.png]] | ||
| 47 | ))) | ||
| 48 | |(% style="width:211px" %)((( | ||
| 49 | ====== **Links and references** ====== | ||
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| 51 | * Gellrich M., Zimmermann N.E. (2007). Investigating the regional scale pattern of agricultural land abandonment in the Swiss mountains: A spatial statistical modelling approach. Landscape and Urban Planning, 79(1), 65-76. DOI: 10.1016/j.landurbplan.2006.03.004 | ||
| 52 | * Molina Ibáñez M., Farris M. (2011). Políticas públicas para el desarrollo rural: un análisis multiescalar. Geographicalia, 59- 60, 225-265. DOI: 10.26754/ojs_geoph/geoph.201159- 60836 | ||
| 53 | * Mottet A., Ladet S., Coque N., Gibon A. (2006). Agricultural land use change and its drivers in mountain landscapes: A case study in the Pyrenees. Agriculture, Ecosystems and Environment, 114(2-4), 296-310. DOI: 10.1016/j.agee.2005.11.017 | ||
| 54 | ))) | ||
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| 56 | (% class="lead" %) | ||
| 57 | Revisions | ||
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| 59 | (% class="success" %)|(% style="width:68px" %)**Version**|(% style="width:179px" %)**Name**|(% style="width:112px" %)**Date**|(% style="width:636px" %)**Changes made** | ||
| 60 | (% class="active" %)|(% style="width:68px" %)**0.1**|(% style="width:179px" %)Emily (EcoWise)|(% style="width:112px" %)25/01/2022|(% style="width:636px" %)Factsheet created | ||
| 61 | (% class="active" %)|(% style="width:68px" %) |(% style="width:179px" %) |(% style="width:112px" %) |(% style="width:636px" %) | ||
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