Abstract Mining regional co-location pattern (RCP) in urban areas can reveal local correlations among urban facilities, which can inform urban planning and development. However, existing mining methods lack considerations of user demand for temporal accessibility and user preferences for the regional structure. Therefore, the mined results may be impractical. To address these issues, we propose a novel RCP mining method with temporal accessibility and regional structure (TARS).
