Air transport is a key infrastructure of modern societies. In this paper we review some recent
approaches to air transport, which make extensive use of theory of complex networks. We …

In the traffic noise investigation framework, the need for a suitable predictive model is quite
important, since it allows to evaluate the environmental impact, in case of existing …

COVID-19 is one of the most impactful pandemics in recent history, not only in terms of direct
casualties but also regarding socio-economic impact. The goal of our study is to investigate …

Complexity science is the multidisciplinary study of complex systems. Its marked network
orientation lends itself well to transport contexts. Key features of complexity science are …

Environmental impact studies are strongly related to road traffic noise, especially in urban
areas. A long term exposure to road traffic noise, in fact, can lead to relevant effects, both …

Previous studies on airport networks are strongly bounded time-wise or only conducted for
single networks at distinct levels of abstraction and for distinct topological features. Here, we …

We show that the European airspace can be represented as a multi-scale traffic network
whose nodes are airports, sectors, or navigation points and links are defined and weighted …

Traffic Noise predictive Models (TNMs) are often used in order to predict and/or monitor road
traffic noise impact on environment. Usually a statistical approach is followed in the most …

The aviation system is an essential constituent for human mobility in the 21st century.
Accordingly, better understanding the underlying-possibly hidden-characteristics is one of …

In this paper the authors propose a new expression to perform a traffic noise prediction by
the collection of the acoustical energy sent to the receiver. The equivalent level, in fact …