In　China,　it　is　more　common　for　pedestrians　than　vehicles　to　disobey　traffic　signals,　resulting　in　a　high　risk　of　pedestrian-vehicle　accidents.　Pedestrian　waiting　time　are　the　most　critical　indicator　of　the　tendency　to　violate　traffic　signals.　A　statistical　analysis　based　on　4027　field-collected　samples　showed　that　the　length　of　time　that　pedestrians　are　prepared　to　wait　depends　on　the　type　of　pedestrian　traffic　signal.　Compared　to　a　countdown-type　signal,　pedestrians　were　more　likely　to　violate　conventional-type　signals.　Furthermore,　pedestrians　were　willing　to　wait　longer　during　peak　hours　than　during　off-peak　hours.　There　were　no　significant　differences　between　the　waiting　times　of　male　and　female　travelers.　To　predict　pedestrian　waiting　time,　we　propose　a　generalized　Pareto　distribution　(GPD)　model　and　calibrated　it　based　on　our　field　data.　Monte　Carlo　simulations　showed　that　the　maximum　likelihood　estimation　(MLE),　Bayesian　MLE　(BMLE),　and　weighted　nonlinear　least　squares　(WNLS)　models　are　the　best　methods　for　estimating　the　scale　and　shape　parameters　of　the　GPD　model.　Several　empirical　results　were　output　from　the　models.　For　example,　at　countdown-type　signals,　the　85th　quantile　of　the　tolerable　waiting　time　in　off-peak　and　peak　hours　was　51.5　and　54.4　s,　respectively;　the　respective　values　for　males　and　females　were　55.4　and　55.0　s.　At　conventional　signals,　the　tolerable　waiting　time　was　approximately　42.5　s.　These　findings　are　useful　for　the　planning,　design,　and　operation　of　pedestrian　facilities.