Gravity model and it's extended model have been used as models for location analysis in geography. In these models, it was assumed that distance from the origin to the destination was given. However, it is difficult how to measure this distance since the inhabitant of the origin can access to the destination by the several access paths. Multidimensional scaling (MDS) or multidimensional preference model will be applicable in this case for recovering the map in hidden data. Other hand, MDS models try to decompose dissimilarity to distance between 2 points only and are lock of modeling the intensity of the destination or the market.
A new model and method will be proposed in this paper, in which the intensity of the destination and distance between the origin and the destination is combined. An application to the real data set will be shown.