Challenges in Lifestyle Migration Research: Reflections and Findings about the Spanish Crisis

The lifestyle migration conceptual framework is based on the motivation for moving reported by the migrants themselves. We discuss the operability of this approach, which is built on the subjective assessments of individuals. It diminishes the actual importance of economic factors and has an underlying ideological element associated with the categorisation of people according to their nationality. A comparative analysis of residential variations by nationalities between 2005 and 2010 in Alicante (Spain) shows that, when faced with the economic crisis, the so-called lifestyle migrants are changing their mobility patterns in a way similar to the rest of the migrants. This calls into question the adequacy of juxtaposing lifestyle and labour migration. Both theory and research show that this duality, instead of clarifying applied research, makes it more difficult. We argue that the lifestyle migration framework is inadequate to study changes in mobility patterns, particularly when using a quantitative approach.

Open educational resources: the role of OCW, blogs and videos in computer network classrooms

This paper analyzes the learning experiences and opinions obtained from a group of undergraduate students in their interaction with several on-line multimedia resources included in a free on-line course about Computer Networks. These new educational resources employed are based on the Web 2.0 approach such as blogs, videos and virtual labs which have been added in a web-site for distance self-learning.

Analyzing the commercial activities of a street network by ranking their nodes: a case study in Murcia, Spain

Urban researchers and planners are often interested in understanding how economic activities are distributed in urban regions, what forces influence their special pattern and how urban structure and functions are mutually dependent. In this paper, we want to show how an algorithm for ranking the nodes in a network can be used to understand and visualize certain commercial activities of a city. The first part of the method consists of collecting real information about different types of commercial activities at each location in the urban network of the city of Murcia, Spain. Four clearly differentiated commercial activities are studied, such as restaurants and bars, shops, banks and supermarkets or department stores, but obviously we can study other. The information collected is then quantified by means of a data matrix, which is used as the basis for the implementation of a PageRank algorithm which produces a ranking of all the nodes in the network, according to their significance within it. Finally, we visualize the resulting classification using a colour scale that helps us to represent the business network.