The city of Seville is currently developing a land - use reorganisation policy aimed at increasing the number of pedestrian spaces. This paper contains the microscopic simulation built to assess one of those pedestrianisation initiatives from the point of vi ew of its effects on traffic flows...

Purpose: This article focuses on the problem of deciding the annual investment that a company should allocate to the rehabilitation of its water distribution and sanitation networks. The objective is to find the investment amount necessary to maintain an adequate quality and sustainability of...

Purpose: This study describes the trends and applications of machine learning systems in the management of water supply networks. Machine learning is a field in constant development, and it has a great potential and capability to attain improvements in real industries. The recent tendency of...

Purpose: This study describes the trends and applications of machine learning systems in the management of water supply networks. Machine learning is a field in constant development, and it has a great potential and capability to attain improvements in real industries. The recent tendency of...

E-commerce offers immense challenges to traditional dispute resolution methods, as it entails parties often located in different parts of the world making contracts with each other at the click of a mouse. The use of traditional litigation for disputes arising in this forum is often...

E-commerce offers immense challenges to traditional dispute resolution methods, as it entails parties often located in different parts of the world making contracts with each other at the click of a mouse. The use of traditional litigation for disputes arising in this forum is often...

In this paper we discuss if and to what extent the 2013 EU Regulation on consumer online dispute resolution (ODR) in tandem with the EU Directive on consumer alternative dispute resolution (ADR) is likely to finally fulfill the expectations of ODR that policy makers and academics have had for...

Purpose: Automatic grouping of data according to certain characteristics is made possible by clustering algorithms, which makes them an essential tool when working with large datasets. However, although they are unsupervised tools, they generally require the specification of the number of...