The　location　pattern　of　different　commercial　stores　in　Shichahai,　a　historic　conservation　area　in　Beijing,　was　investigated　from　a　street　centrality　perspective.　Many　previous　studies　have　investigated　the　relationship　between　street　centrality　and　land　use　patterns　or　commercial　activities　at　interurban　or　intraurban　scales.　We　considered　Shichahai　in　this　study　to　determine　if　street　centrality　applied　at　the　street　scale　and　if　the　street　network　was　the　only　factor　influencing　the　selection　of　store　location.　First,　the　nearest　neighbor　index,　nearest　neighbor　hierarchical　spatial　cluster　(NNHSC),　and　kernel　density　estimation　(KDE)　methods　were　used　to　provide　baseline　spatial　distributions　of　commercial　stores.　Second,　urban　network　analysis　(UNA)　tools　were　used　to　measure　the　street　centrality　indices　under　two　conditions,　with　and　without　the　weighting　of　cultural　relics　calculated　by　a　principal　component　analysis　(PCA).　Finally,　both　store　locations　and　centrality　values　at　nodes　were　transformed　to　one　unit　(raster　pixel)　for　a　correlation　analysis.　The　results　showed　that　three　of　the　four　store　types　were　clustered　and　had　their　own　hotspots　that　were　mostly　located　in　the　eastern　and　central　parts　of　city　blocks.　The　most　momentous　findings　were　determined　from　the　street　centrality　indices.　Among　the　three　store　types　with　correlation　coefficients　above　0.5,　all　centrality　indices　with　landmark　weighting,　except　straightness,　had　higher　correlations,　with　closeness　with　landmark　weighting　having　the　highest　correlation,　followed　by　betweenness　with　landmark　weighting.　Therefore,　we　statistically　concluded　that　street　centrality　could　apply　at　the　street　scale　and　that　the　street　network　was　not　the　only　factor　that　influenced　store　location　pattern,　with　landmarks　also　playing　a　significant　role.　The　results　provide　guidance　in　determining　the　selection　strategy　for　stores　in　a　historic　conservation　area.