Monitoring and controlling air quality parameters form an important subject of atmospheric and environmental research today due to the health impacts caused by the different pollutants present in the urban areas. The support vector machine (SVM), as a supervised learning analysis method, is considered an effective statistical tool for the prediction and analysis of air quality. The work present...

This work argues that open space has been utilized by local planning practice for numerous reasons that have reflected the shifting concerns of the planning profession since the nineteenth century. An intellectual movement that romanticized nature as distinct from social processes and a changing political economy made it possible for open space to serve an interventionist role in addressing soc...

During the 1940s a series of remarkable and radical planning documents were produced for many British cities, generally now collectively referred to as ‘reconstruction plans’. Universally these sought to introduce a highly interventionist, comprehensive planning, often with strong elements of ‘clean sweep’ reconstruction. This article considers two such plans, for the historic cities of Durham ...

We examine the optimal disruption of dark (covert and illegal) networks. Of central importance is that an interventionist will generally have incomplete information about the dark network’s architecture. We derive the optimal disruption strategy in a stylized model of dark network intervention with incomplete information and show how it combines features of two types of disruption considered in...