Abstract: The human mobility pattern in ordinary life is influenced by various factors. Two datasets of location information reported by mobile phones are utilized to analyze the spatial mobility pattern of check-in behavior. Our research focuses on the impacts of the numbers of visited locations, average jump distances, radiuses of gyration and most frequent visited locations on the predictability of check-in behavior. It is found that the check-in behavior shows certain memory effect. The numbers of visited locations and the visiting patterns to the most frequent visited locations have more significant influence on the predictability and regularity of check-in behavior, meanwhile the impacts of radiuses of gyration and the average jump distances are obviously unremarkable.