Multi-criteria location model to reveal generation gap and gender gap

Abstract

The criteria used in location analysis have to be chosen according to the character of the users. The purpose of this paper is to reveal gender and generation gap using the exisisting multi-criteria location model. The single facility location models addressed in this paper accommodate multiple simultaneous criteria in a continuous space when the squared Euclidean distances between the facility and affected inhabitants are used. We identify the entire set of Pareto-optimal locations for eight prefectures in Japan using mobile spatial statistics. We reveal the magnitude of gender gap and generation gap of such prefectures by use of the areas and diameters of such Pareto-optimal locations.