Analysis of Domestic Research Trends on Space-Based Welfare Using Text Mining

This study delves into the evolving welfare paradigm, transitioning from selective support services to comprehensive space-based universal services. To accomplish this, relevant research literature linking space and welfare was gathered and subjected to text mining analysis to discern prevalent trends. The research landscape has witnessed a shift. While earlier studies predominantly concentrated on socially disadvantaged groups, a growing number of investigations no longer target specific demographics. This reflects an evolving social consciousness wherein universal welfare is progressively being integrated into scholarly discussions. As welfare beneficiaries extend to encompass the wider local populace, there arises a need for an in depth exploration of demand-oriented spatial welfare. This entails identifying the genuine welfare requirements of local residents and providing fitting spatial solutions. Although the range of studied spaces has expanded to encompass diverse areas like residential and living infrastructure facilities, the majority of research still centers around conventional social welfare facilities. This is somewhat insufficient to mirror the swiftly changing societal expectations. In this context of the new normal era, it is imperative to consolidate research across previously segmented facilities, considering the anticipated surge in multifaceted welfare service demands. Lastly, it was observed that distinct topics within the Built Environment realm, such as CPTED, universal design, and sustainable design, have intertwined with welfare discussions. Employing text mining analysis, this study endeavors to uncover research trends more objectively and quantitatively. This study’s outcomes hold academic significance by enhancing comprehension of the concept of space-based welfare. It also identifies macro research trends, contributing to a more comprehensive understanding of the subject’s scope and core themes.