earticle

영어

This study explores the spatiotemporal expansion patterns of Airbnb hosts by applying the K-shape time-series clustering algorithm to host-level panel data. The analysis covers two periods—pre-pandemic (June 2014–December 2019) and post-pandemic (March 2021–July 2024)—while excluding the COVID-19 disruption phase. Hosts’ property expansion trajectories were examined over 24- and 36-month windows to identify recurring temporal patterns. The results reveal multiple forms of expansion and contraction behaviors, ranging from gradual and sustained growth to temporary decline and recovery. Comparing the two periods shows that post-pandemic host operations became more stable and less volatile. The study contributes to the literature on business expansion and professionalization in short-term rentals and provides practical insights for policymakers and platform managers aiming to foster sustainable and balanced market development.