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.

Propuesta de un modelo de comunicación para la realización de una acción de Street Marketing-Street Art

Creación de un modelo de comunicación que fusione los mejores atributos del Street Marketing y el Street Art. Previamente, se habrán estudiado los conceptos procedentes y se habrá realizado un análisis de acciones específicas así como entrevistas a creativos del sector. Posteriormente se utilizará este modelo para crear, definir y proponer una de acción de comunicación que será promovida por una institución cultural.