The　varying　operating　schedules　of　urban　rail　transit　(URT)　lines,　combined　with　the　distance　between　travelers＇　origins　and　the　URT　stations,　pose　challenges　for　selecting　their　travel　modes　during　irregular　time　periods　such　as　early　mornings　and　late　evenings　(EMLE).　The　choices　during　these　special　time　periods　may　be　influenced　by　personal　attributes,　travel　attributes,　environmental　attributes,　and　psychological　perceptions.　We　first　conduct　a　questionnaire　survey　to　explore　travelers＇　choice　behaviors　when　they　commute　to　or　from　URT　stations,　considering　various　influencing　factors.　After　completing　the　statistical　analysis,　we　then　proceed　with　a　preliminary　assessment　of　the　factors　impacting　travel　mode　preferences.　Subsequently,　a　hybrid　methodology　that　integrates　structural　equation　modeling　(SEM)　and　a　random　parameter　logit　model　(RPLM)　is　introduced　to　investigate　the　impacts　of　factors.　Notably,　the　interaction　terms　among　travel　time,　cost,　and　psychological　perception　are　considered　as　random　variables.　As　a　result,　the　heightened　interaction　between　travel　time　and　safety　perception　leads　to　a　reduced　probability　of　opting　for　walking　or　bike-sharing　as　transportation　modes.　Similarly,　there　is　a　notable　decrease　in　the　probability　of　selecting　a　taxi　when　the　interaction　terms　of　travel　cost　and　safety　perception　increase.　The　above　results　identify　that　travelers　prefer　to　take　safer　and　more　convenient　travel　modes　during　the　EMLE　period.