Performance-based　seismic　design　can　generate　predictable　structure　damage　result　with　given　seismic　hazard.　However,　there　are　multiple　sources　of　uncertainties　in　the　seismic　design　process　that　can　affect　desired　performance　predictability.　This　paper　mainly　focuses　on　the　effects　of　near-fault　pulse-like　ground　motions　and　the　uncertainties　in　bridge　modeling　on　the　seismic　demands　of　regular　continuous　highway　bridges.　By　modeling　a　regular　continuous　bridge　with　OpenSees　software,　a　series　of　nonlinear　dynamic　time-history　analysis　of　the　bridge　at　three　different　site　conditions　under　near-fault　pulse-like　ground　motions　are　carried　out.　The　relationships　between　different　Intensity　Measure　(IM)　parameters　and　the　Engineering　Demand　Parameter　(EDP)　are　discussed.　After　selecting　the　peak　ground　acceleration　as　the　most　correlated　IM　parameter　and　the　drift　ratio　of　the　bridge　column　as　the　EDP　parameter,　a　probabilistic　seismic　demand　model　is　developed　for　near-fault　earthquake　ground　motions　for　3　different　site　conditions.　On　this　basis,　the　uncertainty　analysis　is　conducted　with　the　key　sources　of　uncertainty　during　the　finite　element　modeling.　All　the　results　are　quantified　by　the　＂swing＂　base　on　the　specific　distribution　range　of　each　uncertainty　parameter　both　in　near-fault　and　far-fault　cases.　All　the　ground　motions　are　selected　from　PEER　database,　while　the　bridge　case　study　is　a　typical　regular　highway　bridge　designed　in　accordance　with　the　Chinese　Guidelines　for　Seismic　Design　of　Highway　Bridges.　The　results　show　that　PGA　is　a　proper　IM　parameter　for　setting　up　a　linear　probabilistic　seismic　demand　model;　damping　ratio,　pier　diameter　and　concrete　strength　are　the　main　uncertainty　parameters　during　bridge　modeling,　which　should　be　considered　both　in　near-fault　and　far-fault　ground　motion　cases.