As　spatial　and　socioeconomic　processes　are　the　two　key　aspects　of　urban　development,　revealing　the　relationship　between　these　two　key　aspects　is　critical.　Previous　studies　attempted　to　explain　their　correlation　at　the　city　or　region　level　using　built-up　area　metrics　and　nighttime　light　(NTL)　data.　However,　more　comprehensive　studies　on　urban　interior　spatial　characteristics　and　their　relationship　to　NTL　intensity　are　lacking　in　a　three-dimension　space.　Using　Luojia　1-01　nighttime　light　data,　LiDAR　digital　surface　model　data,　and　other　auxiliary　data,　this　study　applies　an　extreme　gradient　boosting　regression　model　and　Sharpley　Additive　exPlanations　method　to　model　and　interpret　the　relationship　between　two-dimensional　(2-D)/3-D　landscape　patterns　and　NTL　intensity.　Two　study　areas　were　selected　to　investigate　the　landscape-NTL　relationship　at　the　parcel　and　subdistrict　levels.　The　major　findings　of　this　study　include　the　following:　1)　2-D　and　3-D　urban　landscape　patterns　have　a　close　relationship　with　NTL　intensity　at　the　parcel　and　subdistrict　scales;　2)　the　combinational　metric　of　2-D　and　3-D　landscape　patterns　has　a　stronger　relationship　with　NTL　intensity　than　either　the　2-D　or　3-D　landscape　metrics　alone;　3)　the　correlations　between　most　landscape　metrics　and　NTL　intensity　are　not　simply　positive　or　negative　but　change　as　metrics　grow;　and　4)　the　urban　socioeconomic　level　is　not　only　related　to　a　single　landscape　metric　sometimes　but　tends　to　the　result　of　metrics　interaction.　These　findings　may　help　urban　planners　and　government　officials　make　more　reasonable　urban　landscape　planning　policies　under　the　goal　of　sustainable　development.　©　2008-2012　IEEE.