재택근무는 주거이동 의사에 영향을 미칠 것인가? 가구의 사회경제적 특성에 기반한 잠재계층 분석을 통한 탐색적 연구

This paper introduces a latent class regression model to examine the intention to move among individuals engaged in work-from-home (WFH) arrangements. In contrast to previous studies, which have often assumed a homogeneous group of teleworkers without considering the different socio-demographic profiles that may exist, this paper identifies distinct unobserved classes with different residential preferences. The application of latent class regression enables us to investigate the different effects of WFH on relocation decisions. Six latent classes were identified by analysing survey data from employees of companies and organisations in the Seoul metropolitan area (Seoul, Incheon, and Gyeonggi). The results showed significant differences in the effects of WFH on relocation decisions across these groups. For example, one-person rental and two-earner households with children are particularly likely to move when commuting is no longer necessary. In contrast, single-income households with a high level of education are most likely to accept longer commuting times if they work from home. In addition, the study showed that residential location preferences differ significantly between these groups when relocating owing to WFH. The findings have important implications for policy and planning by recognising the different housing interests in the digital age.