Scale-Resolved Indicator Weighting for Climate-Responsive Green Infrastructure Optimisation

Abstract

Urban green infrastructure controls heat, stormwater, air quality, biodiversity, energy use, and human well-being via vegetation, soil, water, and interconnectivity. This paper constructs IMPACT-GI, an approach to scale-resolved weightage for climate-smart green infrastructure design. The data comprise 290 instances of indicators concerning air quality, biodiversity and ecological sustainability, energy performance, human well-being, heat-island mitigation, and water management; 66 instances of objective-scale and 60 instances of model-use. The balance of the indicators is evaluated based on normalised entropy of green-infrastructure indicators, specific to objectives and geospatial factors. Scale dispersion is calculated with respect to building scale, street scale, district scale, and urban scale. In heat-island mitigation, the indicator balance (0.987), scale dispersion (0.953), and transfer caution (0.040) values indicate high cross-scales. Energy efficiency has maximum transfer caution value of 0.607 because all scale observations are at building scale only. These weights help in replicable indicator selection, algorithm choice, and scale interpretation for urban green infrastructure planning.