Activity data collection platform for resident-centered local community vitalization

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Abstract

In this paper, we aim to achieve resident-centered local community vitalization utilizing information communication technology (ICT). The relationship between local community residents should be based on social assets, and how to make use of this relationship is significant for vitalization of the community. If residents can be made aware of this invisible relationship that they are usually unconscious of, and understand its importance, they could vitalize their community through sustaining and promoting it, which is the concept underlying resident-centered local community vitalization. In this paper, we describe the concept of resident-centered local community vitalization and provide an overview of the platform and method for relationship visualization of residents using passing-each-other data based on graph theory. We build an activity data collection platform for resident-centered local community　vitalization, which is compatible with terabyte class data collection. The number and frequency of passing-each-other occurrences between individual residents are analyzed, normalized, and represented as a graph. Through user's evaluation, we could confirm that the proposed representation using a graph is an adequate tool for visualizing the relationship among residents.

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