As　a　newly-emerging　travel　mode　in　the　era　of　mobile　internet,　ride-hailing　that　connects　passengers　with　private-car　drivers　via　an　online　platform　has　been　very　popular　all　over　the　world.　Although　it　attracts　much　attention　in　both　practice　and　theory,　the　understanding　of　ride-hailing　is　still　very　limited　largely　because　of　the　lack　of　related　data.　For　the　first　time,　this　paper　introduces　ride-hailing　drivers＇　multi-day　trip　order　data　and　portrays　ride-hailing　mobility　in　Beijing,　China,　from　the　regional　and　driver＇s　perspectives.　The　analyses　from　the　regional　perspective　help　understand　the　spatiotemporal　flowing　of　the　ride-hailing　demand,　and　those　from　the　driver＇s　perspective　characterize　the　ride-hailing　drivers＇　preferences　in　providing　ridehailing　services.　A　series　of　findings　are　obtained,　such　as　the　observation　of　the　spatiotemporal　rhythm　of　a　city　in　using　ride-hailing　services　and　two　categories　of　ride-hailing　drivers　in　terms　of　the　correlation　between　the　activity　space　and　working　time.　Those　findings　contribute　to　the　understanding　of　ride-hailing　activities,　the　prediction　of　ride-hailing　demand,　the　modeling　of　ride-hailing　drivers＇　preferences,　and　the　management　of　ride-hailing　services.