Socio-economic origin-destination matrix derivation through contextualization of material world

An origin-destination matrix contains data about individual and group mobility in a certain spatial area. As such, an origin-destination matrix represents an indicator of urban migrations and commuters' volume and can be used in strategic planning of the observed area. However, the origin-destination matrix does not contain information about the context of the migrations. In this paper we present an approach of expanding the origin-destination matrix data with the spatial data attributes containing information about the socio-economic context of activity's source and target derived from the material world. Origin-destination matrix enriched with such context can be used to gain a better understanding of socioeconomic activities in an observed area, providing an insight to their nature and cause. Knowing the reason behind urban migrations can be useful for various socio-economic purposes. We describe developed information fusion algorithm, deploy the proposed concept, and present the graphical representation of the contextualized origin-destination matrix.