Picture of model of urban architecture

Open Access research that is exploring the innovative potential of sustainable design solutions in architecture and urban planning...

Strathprints makes available scholarly Open Access content by researchers in the Department of Architecture based within the Faculty of Engineering.

Research activity at Architecture explores a wide variety of significant research areas within architecture and the built environment. Among these is the better exploitation of innovative construction technologies and ICT to optimise 'total building performance', as well as reduce waste and environmental impact. Sustainable architectural and urban design is an important component of this. To this end, the Cluster for Research in Design and Sustainability (CRiDS) focuses its research energies towards developing resilient responses to the social, environmental and economic challenges associated with urbanism and cities, in both the developed and developing world.

Explore all the Open Access research of the Department of Architecture. Or explore all of Strathclyde's Open Access research...

A network based kernel density estimator applied to Barcelona economic activities

Proudit, T. and Lachence-Bernard, N. and Joost, S. and Porta, S. and Strano, E. (2010) A network based kernel density estimator applied to Barcelona economic activities. In: Proceedings of ICCSA 2010 (2010 International Conference on Computational Science and Its Application). Lecture Notes in Computer Science (Part I). Springer, pp. 32-45. ISBN 3642121780

This is the latest version of this item.

PDF (strathprints018467.pdf)

Download (2MB) | Preview


This paper presents a methodology to compute an innovative density indicator of spatial events. The methodology is based on a modified Kernel Density Estimator (KDE) that operates along road networks, and named Network based Kernel Density Estimator (NetKDE). In this research, retail and service economic activities are projected on the road network whose edges are weighted by a set of centrality values calculated with a Multiple Centrality Assessment (MCA). First, this paper calculate a density indicator for the point pattern analysis on human activities in a network constrained environment. Then, this indicator is modified to evaluate network performance in term of centrality. The methodology is applied to the city of Barcelona to explore the potential of the approach on more than 11,000 network edges and 166,000 economic activities.

Available Versions of this Item

  • A network based kernel density estimator applied to Barcelona economic activities. (deposited 18 Apr 2011 15:50) [Currently Displayed]