This　paper　outlines　a　proposal,which　was　provided　regional　riding　statistical　data　query,　to　address　the　high　vacancy　rate　in　taxis　and　the　low　matching　rate　between　taxis　and　passengers.　It　proposed　a　statistical　method　of　space　distribution　for　riding　based　on　R-tree　under　differential　privacy　(DBRTree-opt)　combined　with　the　information　of　reference　dataset.　First,　several　minimum　bounding　rectangles　(MBRs)　were　generated　through　specific　spatial　distribution　rules　relating　to　regional　statistic　reference　dataset　as　the　basic　unit　of　the　R-tree　index　structure.　Second,　a　spatial　index　structure　of　optimized　R-tree　was　also　designed　to　solve　the　problem　of　overlapping　within　the　R-tree　structure.　Then,　the　optimized　R-tree　for　information　generation　of　reference　data　was　applied　to　unpublished　riding　space　data.　Finally,　combined　with　the　publishing　technology　of　differential　privacy　tree　structure　and　consistency　processing,　the　algorithm　provided　a　statistical　query　related　to　riding　region　while　ensuring　privacy　protection　standards.　The　new　approach　was　compared　with　traditional　algorithms　in　assessing　the　accuracy　of　range　counting　queries　in　the　release　data.　Experimental　results　showed　that　DBRTree-opt　is　more　effective　and　feasible.　©　2021,　Springer　Nature　Switzerland　AG.