Mobile　phone　location　data　have　been　extensively　used　to　understand　human　mobility　patterns　through　the　employment　of　mobility　indicators.　The　temporal　sampling　interval　(TSI),　which　is　measured　by　the　temporal　interval　between　consecutive　records,　determines　how　well　such　data　can　describe　human　activities　and　influence　the　values　of　human　mobility　indicators.　However,　systematic　investigations　of　how　the　TSI　affects　human　mobility　indicators　remain　scarce,　and　characterizing　those　relationships　is　a　fundamental　research　question　for　many　related　studies.　This　study　uses　a　mobile　phone　location　dataset　containing　19,370　intensively　sampled　individual　trajectories　(TSI　＜　5　minutes)　to　systematically　assess　the　impacts　of　the　TSI　on　four　typical　mobility　indicators　that　describe　human　mobility　patterns　from　different　aspects,　which　are　movement　entropy,　radius　of　gyration,　eccentricity,　and　daily　travel　frequency.　We　find　that　different　TSIs　have　complex　impacts　on　the　values　of　different　mobility　indicators.　Specifically,　(1)　coarser　TSIs　tend　to　underestimate　the　values　of　the　four　selected　indicators　with　different　degrees;　(2)　the　degrees　of　underestimation　vary　significantly　among　users　for　eccentricity　and　daily　travel　frequency　but　exhibit　high　inter-user　consistency　for　radius　of　gyration　and　movement　entropy.　The　above　findings　can　help　better　understand　the　variations　among　human　mobility　studies.