Changes for page Data cluster 2.1. Urban assets & infrastructure indicators

Last modified by Hyunji Cho on 2022/02/28 10:23

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  There are data to understand each city’s physical built and natural environment before designing DivAirCity interventions. For example, existing green infrastructure and building quality are important to identify the areas that were less accessible to clean air, and it might be strongly linked to the residential areas where the socially disadvantaged groups inhabit.  Those data such as building quality will not be subject to be continuously monitored after the interventions since they are not affected by the planned interventions differently from other indicators in data cluster 2.3.  However, they can be essential contextual data to initiate co-creation.
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--(% class="table-bordered" %)
--|**Indicators**|**Metrics**
--|**Building quality**|The average age of buildings and composition of built environment age in the designated districts
--|**Connectivity of green space**|Calculation of connectivity of green space from GIS data from 1 (very low) to 5 (very high)
--|**Green space management**|Distribution of public green space: Per capita public space in the neighbourhood (m^^2^^)
--|(% rowspan="2" %)**Residential Building quality & space**|The proportion of household buildings with poor energy efficiency rating
--|Correlated indoor and outdoor air quality measurements (O3, CO and PM2.5)