In　modern　society,　an　urban　agglomeration　is　a　highly　developed　spatial　form　of　integrated　cities.　Travel　activities　driven　by　various　travel　demands　frequently　take　place　within　an　urban　agglomeration.　Understanding　urban　agglomeration　travel　demand　is　a　basic　but　significant　task.　The　paper　constructs　spatial-temporal　networks　for　urban　agglomeration　travel　demand　via　spatial-temporal　decomposition　and　makes　explicit　analyses　of　the　attributes　of　the　networks.　Taiwan　and　taxi　demand,　which　are　a　typical　urban　agglomeration　and　representative　travel　demand,　respectively,　are　taken　as　the　empirical　objects　of　the　study.　It　is　found　that　the　degree　distributions　of　the　spatial-temporal　travel　demand　networks　follow　power　laws,　whose　exponents　monotonically　decrease　with　the　growth　of　the　square　cells　that　are　used　to　divide　an　urban　agglomeration　to　aggregate　travel　demand.　Nevertheless,　the　fact　of　following　power　laws　is　not　influenced　by　the　spatial-temporal　granularity　of　network　construction,　indicating　a　spatial-temporal　fractal　property　of　urban　agglomeration　travel　demand.　The　findings　contribute　to　understanding　the　nature　of　travel　demand　and　human　mobility　in　the　scale　of　an　urban　agglomeration.　(C)　2020　Elsevier　B.V.　All　rights　reserved.