Earthquake-induced　strong　near-fault　ground　motion　is　typically　accompanied　by　large-velocity　pulse-like　component,　which　causes　serious　damage　to　slopes　and　buildings.　Although　not　all　near-fault　ground　motions　contain　a　pulse-like　component,　it　is　important　to　consider　this　factor　in　regional　earthquake-induced　landslide　susceptibility　assessment.　In　the　present　study,　we　considered　the　probability　of　the　observed　pulse-like　ground　motion　at　each　site　(PP)　in　the　region　of　an　earthquake　as　one　of　the　conditioning　factors　for　landslide　susceptibility　assessment.　A　subset　of　the　area　affected　by　the　1994　Mw6.7　Northridge　earthquake　in　California　was　examined.　To　explore　and　verify　the　effects　of　PP　on　landslide　susceptibility　assessment,　seven　models　were　established,　consisting　of　six　identical　influencing　factors　(elevation,　slope　gradient,　aspect,　distance　to　drainage,　distance　to　roads,　and　geology)　and　one　or　two　factors　characterizing　the　intensity　of　the　earthquake　(distance　to　fault,　peak　ground　acceleration,　peak　ground　velocity,　and　PP)　in　logistic　regression　analysis.　The　results　showed　that　the　model　considering　PP　performed　better　in　susceptibility　assessment,　with　an　area　under　the　receiver　operating　characteristic　curve　value　of　0.956.　Based　on　the　results　of　relative　importance　analysis,　the　contribution　of　the　PP　value　to　earthquake-induced　landslide　susceptibility　was　ranked　fourth　after　the　slope　gradient,　elevation,　and　lithology.　The　prediction　performance　of　the　model　considering　the　pulse-like　effect　was　better　than　that　reported　previously.　A　logistic　regression　model　that　considers　the　pulse-like　effect　can　be　applied　in　disaster　prevention,　mitigation,　and　construction　planning　in　near-fault　areas.