iVOD / 160831

Field Value
IVOD_ID 160831
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160831
日期 2025-04-30
會議資料.會議代碼 委員會-11-3-23-9
會議資料.會議代碼:str 第11屆第3會期交通委員會第9次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 9
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第3會期交通委員會第9次全體委員會議
影片種類 Clip
開始時間 2025-04-30T13:00:12+08:00
結束時間 2025-04-30T13:10:39+08:00
影片長度 00:10:27
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/b6da7da99b942369340a22deccb94795385a4fd0f0fffa493679622006e3328bd3c8be10e344e7af5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱若華
委員發言時間 13:00:12 - 13:10:39
會議時間 2025-04-30T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通委員會第9次全體委員會議(事由:邀請交通部部長陳世凱、交通部民用航空局局長何淑萍、交通部鐵道局局長楊正君、國營臺灣鐵路股份有限公司代理董事長伍勝園、台灣高速鐵路股份有限公司董事長鄭光遠、中華航空股份有限公司董事長高星潢及國家運輸安全調查委員會率所屬相關單位列席就「近期我國航空、鐵路運營安全事件之檢討與改善及臺鐵票價調整方案」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 5.65034375
transcript.pyannote[0].end 12.18096875
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 9.22784375
transcript.pyannote[1].end 11.72534375
transcript.pyannote[2].speaker SPEAKER_04
transcript.pyannote[2].start 12.50159375
transcript.pyannote[2].end 15.38721875
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 20.29784375
transcript.pyannote[3].end 20.31471875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 20.31471875
transcript.pyannote[4].end 20.78721875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 20.95596875
transcript.pyannote[5].end 21.64784375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 22.59284375
transcript.pyannote[6].end 65.65784375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 66.40034375
transcript.pyannote[7].end 70.18034375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 70.56846875
transcript.pyannote[8].end 87.96659375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 75.36096875
transcript.pyannote[9].end 75.37784375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 77.43659375
transcript.pyannote[10].end 77.50409375
transcript.pyannote[11].speaker SPEAKER_04
transcript.pyannote[11].start 77.50409375
transcript.pyannote[11].end 77.89221875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 77.89221875
transcript.pyannote[12].end 77.90909375
transcript.pyannote[13].speaker SPEAKER_04
transcript.pyannote[13].start 80.74409375
transcript.pyannote[13].end 81.14909375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 86.75159375
transcript.pyannote[14].end 130.55909375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 88.50659375
transcript.pyannote[15].end 88.99596875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 128.98971875
transcript.pyannote[16].end 130.45784375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 130.55909375
transcript.pyannote[17].end 130.66034375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 130.66034375
transcript.pyannote[18].end 130.69409375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 130.69409375
transcript.pyannote[19].end 135.35159375
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 135.03096875
transcript.pyannote[20].end 143.06346875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 141.35909375
transcript.pyannote[21].end 152.96909375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 153.89721875
transcript.pyannote[22].end 159.76971875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 159.97221875
transcript.pyannote[23].end 169.64159375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 169.96221875
transcript.pyannote[24].end 172.34159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 172.78034375
transcript.pyannote[25].end 175.54784375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 176.13846875
transcript.pyannote[26].end 178.60221875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 180.13784375
transcript.pyannote[27].end 183.79971875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 182.87159375
transcript.pyannote[28].end 189.21659375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 190.34721875
transcript.pyannote[29].end 194.75159375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 192.69284375
transcript.pyannote[30].end 192.96284375
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 192.96284375
transcript.pyannote[31].end 193.16534375
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 194.46471875
transcript.pyannote[32].end 194.85284375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 194.85284375
transcript.pyannote[33].end 194.86971875
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 195.56159375
transcript.pyannote[34].end 205.99034375
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 206.31096875
transcript.pyannote[35].end 212.50409375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 206.36159375
transcript.pyannote[36].end 206.96909375
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 212.97659375
transcript.pyannote[37].end 216.03096875
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 216.28409375
transcript.pyannote[38].end 217.98846875
transcript.pyannote[39].speaker SPEAKER_05
transcript.pyannote[39].start 218.49471875
transcript.pyannote[39].end 220.99221875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 219.03471875
transcript.pyannote[40].end 219.35534375
transcript.pyannote[41].speaker SPEAKER_05
transcript.pyannote[41].start 221.49846875
transcript.pyannote[41].end 225.17721875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 221.65034375
transcript.pyannote[42].end 221.81909375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 224.51909375
transcript.pyannote[43].end 231.85971875
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 225.71721875
transcript.pyannote[44].end 226.27409375
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 228.16409375
transcript.pyannote[45].end 228.68721875
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 230.15534375
transcript.pyannote[46].end 230.32409375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 232.01159375
transcript.pyannote[47].end 243.97596875
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 243.41909375
transcript.pyannote[48].end 244.07721875
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 244.51596875
transcript.pyannote[49].end 253.96596875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 252.37971875
transcript.pyannote[50].end 255.85596875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 253.96596875
transcript.pyannote[51].end 254.28659375
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 254.28659375
transcript.pyannote[52].end 254.59034375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 254.59034375
transcript.pyannote[53].end 254.80971875
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 255.92346875
transcript.pyannote[54].end 261.55971875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 257.30721875
transcript.pyannote[55].end 259.07909375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 261.37409375
transcript.pyannote[56].end 266.77409375
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 264.71534375
transcript.pyannote[57].end 266.41971875
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 266.77409375
transcript.pyannote[58].end 266.92596875
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 267.41534375
transcript.pyannote[59].end 270.11534375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 270.40221875
transcript.pyannote[60].end 270.45284375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 270.45284375
transcript.pyannote[61].end 295.52909375
transcript.pyannote[62].speaker SPEAKER_05
transcript.pyannote[62].start 271.04346875
transcript.pyannote[62].end 271.81971875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 287.49659375
transcript.pyannote[63].end 287.81721875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 294.09471875
transcript.pyannote[64].end 294.31409375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 295.49534375
transcript.pyannote[65].end 300.89534375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 299.27534375
transcript.pyannote[66].end 302.27909375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 302.12721875
transcript.pyannote[67].end 305.48534375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 303.96659375
transcript.pyannote[68].end 307.62846875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 307.62846875
transcript.pyannote[69].end 312.21846875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 312.45471875
transcript.pyannote[70].end 341.69909375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 341.71596875
transcript.pyannote[71].end 346.54221875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 347.26784375
transcript.pyannote[72].end 362.45534375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 347.80784375
transcript.pyannote[73].end 350.22096875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 361.96596875
transcript.pyannote[74].end 363.29909375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 363.40034375
transcript.pyannote[75].end 364.75034375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 363.97409375
transcript.pyannote[76].end 367.68659375
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 364.75034375
transcript.pyannote[77].end 364.76721875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 368.61471875
transcript.pyannote[78].end 372.32721875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 372.56346875
transcript.pyannote[79].end 375.02721875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 375.55034375
transcript.pyannote[80].end 378.67221875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 379.60034375
transcript.pyannote[81].end 382.06409375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 384.94971875
transcript.pyannote[82].end 385.91159375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 386.77221875
transcript.pyannote[83].end 389.38784375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 389.97846875
transcript.pyannote[84].end 391.05846875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 391.69971875
transcript.pyannote[85].end 392.76284375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 393.43784375
transcript.pyannote[86].end 400.01909375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 400.94721875
transcript.pyannote[87].end 407.47784375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 407.52846875
transcript.pyannote[88].end 410.76846875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 410.88659375
transcript.pyannote[89].end 413.67096875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 413.92409375
transcript.pyannote[90].end 414.22784375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 414.71721875
transcript.pyannote[91].end 414.73409375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 414.73409375
transcript.pyannote[92].end 414.75096875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 414.75096875
transcript.pyannote[93].end 415.52721875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 416.38784375
transcript.pyannote[94].end 426.46221875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 420.31971875
transcript.pyannote[95].end 420.67409375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 426.64784375
transcript.pyannote[96].end 432.41909375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 426.68159375
transcript.pyannote[97].end 427.25534375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 431.23784375
transcript.pyannote[98].end 433.24596875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 433.68471875
transcript.pyannote[99].end 433.70159375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 433.70159375
transcript.pyannote[100].end 433.92096875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 433.92096875
transcript.pyannote[101].end 434.03909375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 434.15721875
transcript.pyannote[102].end 439.69221875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 439.96221875
transcript.pyannote[103].end 440.16471875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 440.09721875
transcript.pyannote[104].end 440.40096875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 440.18159375
transcript.pyannote[105].end 447.15096875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 443.28659375
transcript.pyannote[106].end 450.72846875
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 453.49596875
transcript.pyannote[107].end 456.85409375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 457.52909375
transcript.pyannote[108].end 461.89971875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 458.98034375
transcript.pyannote[109].end 465.07221875
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 465.49409375
transcript.pyannote[110].end 471.07971875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 470.20221875
transcript.pyannote[111].end 474.03284375
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 474.45471875
transcript.pyannote[112].end 474.97784375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 474.97784375
transcript.pyannote[113].end 475.01159375
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 475.01159375
transcript.pyannote[114].end 475.02846875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 475.02846875
transcript.pyannote[115].end 476.58096875
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 475.12971875
transcript.pyannote[116].end 475.28159375
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 476.58096875
transcript.pyannote[117].end 480.86721875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 476.64846875
transcript.pyannote[118].end 477.20534375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 481.39034375
transcript.pyannote[119].end 485.96346875
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 486.43596875
transcript.pyannote[120].end 488.05596875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 488.05596875
transcript.pyannote[121].end 496.81409375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 497.05034375
transcript.pyannote[122].end 500.96534375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 499.73346875
transcript.pyannote[123].end 503.80034375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 501.45471875
transcript.pyannote[124].end 501.70784375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 503.80034375
transcript.pyannote[125].end 508.03596875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 506.02784375
transcript.pyannote[126].end 506.04471875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 506.04471875
transcript.pyannote[127].end 506.56784375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 508.03596875
transcript.pyannote[128].end 509.82471875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 509.95971875
transcript.pyannote[129].end 512.40659375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 512.40659375
transcript.pyannote[130].end 513.13221875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 513.33471875
transcript.pyannote[131].end 519.67971875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 514.68471875
transcript.pyannote[132].end 515.88284375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 518.95409375
transcript.pyannote[133].end 521.65409375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 523.37534375
transcript.pyannote[134].end 523.94909375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 523.96596875
transcript.pyannote[135].end 523.98284375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 524.35409375
transcript.pyannote[136].end 525.97409375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 526.54784375
transcript.pyannote[137].end 530.05784375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 530.05784375
transcript.pyannote[138].end 532.80846875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 533.16284375
transcript.pyannote[139].end 548.83971875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 538.49534375
transcript.pyannote[140].end 539.01846875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 547.47284375
transcript.pyannote[141].end 550.42596875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 551.60721875
transcript.pyannote[142].end 558.01971875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 558.23909375
transcript.pyannote[143].end 560.55096875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 561.27659375
transcript.pyannote[144].end 562.81221875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 562.87971875
transcript.pyannote[145].end 564.51659375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 566.54159375
transcript.pyannote[146].end 567.97596875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 568.48221875
transcript.pyannote[147].end 573.07221875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 573.20721875
transcript.pyannote[148].end 578.03346875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 578.08409375
transcript.pyannote[149].end 587.83784375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 588.14159375
transcript.pyannote[150].end 603.41346875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 602.87346875
transcript.pyannote[151].end 608.32409375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 609.16784375
transcript.pyannote[152].end 615.42846875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 614.58471875
transcript.pyannote[153].end 617.92596875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 615.42846875
transcript.pyannote[154].end 615.49596875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 616.17096875
transcript.pyannote[155].end 616.74471875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 616.74471875
transcript.pyannote[156].end 621.52034375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 619.51221875
transcript.pyannote[157].end 619.81596875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 619.81596875
transcript.pyannote[158].end 619.83284375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 621.63846875
transcript.pyannote[159].end 624.94596875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 622.71846875
transcript.pyannote[160].end 623.51159375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 625.43534375
transcript.pyannote[161].end 626.75159375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 625.55346875
transcript.pyannote[162].end 625.80659375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 626.27909375
transcript.pyannote[163].end 627.10596875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 627.13971875
transcript.pyannote[164].end 627.78096875
transcript.whisperx[0].start 5.969
transcript.whisperx[0].end 15.199
transcript.whisperx[0].text 好 謝謝主席 主席請陳士凱部長還有台鐵的吳代理董事長好 我們吳代董事長委員好
transcript.whisperx[1].start 21.004
transcript.whisperx[1].end 49.866
transcript.whisperx[1].text 部長好部長本席過去在113、114的年度預算提案以及過去4月23台鐵的專案報告中都有多次要求台鐵來研議看我們第一線的執行人員是否要佩戴密錄器那以強化勤務的安全還有事後釐清責任有一個畫面可以來作為依據那本席在今年的3月24號那也收到台鐵的回覆指出在114年第一次車班公司協商會議決議中出席代表全數不同意購買
transcript.whisperx[2].start 51.147
transcript.whisperx[2].end 64.607
transcript.whisperx[2].text 那本案還會繼續溝通研議嘛那所以本席在本月的7號也就台鐵的回文內容提出質詢那本席今天就該一提請教部長然後還有我們代理董事長首先先問請教
transcript.whisperx[3].start 66.831
transcript.whisperx[3].end 88.824
transcript.whisperx[3].text 部長您贊成台鐵第一線執行人員佩戴密錄器嗎如果是站在保障員工執行的安全的部分我當然是贊成啦但是工會那邊有不一樣的思考他們也考量到說同仁的隱私或者說他執行過程當中不希望透過公司透過這個密錄器來做類似懲處部長我們先繼續看下去
transcript.whisperx[4].start 89.304
transcript.whisperx[4].end 117.537
transcript.whisperx[4].text 那根據台鐵提供給本席的資料我們可以看到應該要調查的人數是1139人那實際調查人數是900人那我們看到調查結果有56%的人認為知情時應該佩戴密錄器57%的人認為應該要統一來公發那超過六成的員工不反對使用密錄器部長從台鐵的調查資料我們可以看到超過一半的員工都是贊成佩戴密錄器的而且六成以上不反對嘛
transcript.whisperx[5].start 118.177
transcript.whisperx[5].end 135.053
transcript.whisperx[5].text 那既然有那麼多員工他明確都表示支持那為什麼在協商會議上呢那麼多代表他是全數來做反對是哪一個環節出了問題還是有落差與基層的聲音有落差工會當時怎麼說我是不是請台鐵先回答一下
transcript.whisperx[6].start 138.434
transcript.whisperx[6].end 159.478
transcript.whisperx[6].text 主要問題出現在我們的使用規則裡面有一條是 上一次本席質詢的時候您也在台下嘛那沒關係我們繼續我們請部長繼續看下去就是使用規章的部分那部長您看到你覺得最有問題的是哪一點我想如果就剛剛的說法應該是全程錄影的這個部分他們應該是會有意見的
transcript.whisperx[7].start 160.194
transcript.whisperx[7].end 189.038
transcript.whisperx[7].text 沒錯 這就是引發反對聲音的主因那上一次馮總經理也說到這一點就是全程要開啟讓所有代表都有意見就是有人質疑說隱私被侵犯了那上廁所的時候是不是錄影也要開著所以不同意購買部長您認為這一點它合理嗎如果考量到例如說上廁所的時候那當然這是非常不合理所以為什麼會有那麼僵化跟死板的規定為什麼一定要全程來做錄影呢
transcript.whisperx[8].start 190.887
transcript.whisperx[8].end 215.768
transcript.whisperx[8].text 這個我們可以來討論好不好我們先董事長今天委員報告齁這個中間其實大家討論很多齁剛剛提到如果說是上廁所那當然這個當然是一定要關掉就不會去要求公司要求說你上廁所都要打開不會但是如果全程你在執勤的期間我們會希望他全程的開路為什麼呢第一個我們不希望未來如果有什麼事情被端端起於
transcript.whisperx[9].start 216.408
transcript.whisperx[9].end 243.139
transcript.whisperx[9].text 就截斷一部分這真的我覺得我認為這其實是保護同仁要不然到時候你只有一個畫面你說啊前面我們是確實啊這個密錄器應該是要保障安全的工具啊不是變成壓力的來源那部長還有戴隆市長那其實在其他部門密錄器的使用已經早就行之有年啦不只是我們看到可以看到消防機關還有財政部還有地方的社會局都有建制規範
transcript.whisperx[10].start 244.58
transcript.whisperx[10].end 269.87
transcript.whisperx[10].text 跟委員報告好 因為我們跟第一 剛講這些大概都第一線的同仁跟那個一般我們的用戶人接觸比較頻繁所以在台鐵沒有辦法來做事情況開啟嗎到目前至少 我認為應該是這個應該 我覺得應該還要繼續那什麼時候會再召開下一次的會議再做討論呢就是真的不要那麼一切全程都要錄影我們盡快再找先生跟人家溝通一下
transcript.whisperx[11].start 271.087
transcript.whisperx[11].end 289.733
transcript.whisperx[11].text 報告委員未來如果要在開會討論我們會針對一些情境一些情境排除的部分我們來列入也就是說更人性化你在執勤的過程當中我們希望全程都要錄影但是裡面有一些情境例如說我們剛才所提到上廁所上洗手間這個部分我們就是可以關掉
transcript.whisperx[12].start 290.413
transcript.whisperx[12].end 307.399
transcript.whisperx[12].text 但是當你面對客人的時候在第一線面對客人在工作的時候為了保護自己我們還是希望他開啟我們就是說這個前提是在他們在執行在第一線在第一線執行的時候才做使用對沒有錯OK好那可以先請對朝這個方向來調整我相信大家接受度會相對高一些
transcript.whisperx[13].start 307.859
transcript.whisperx[13].end 323.387
transcript.whisperx[13].text OK 好 那總經理和我們的代理董事長可以先請回座休息那本席接下來我們看到在這個月17號的時候台鐵它頻繁發生吊車的意外然後還有幽靈列車的問題那本席也有向預安會
transcript.whisperx[14].start 324.207
transcript.whisperx[14].end 346.266
transcript.whisperx[14].text 反映這個問題是否該介入調查那剛好藉這個機會也讓部長您了解那最近台鐵的事故頻傳我們可以看到短短四個月內就發生七起不當的停車事件五個月內也發生了七起吊車意外那請問這個雙七這個雙七的問題看起來不是偶發的事件那台鐵有沒有提出改善
transcript.whisperx[15].start 347.578
transcript.whisperx[15].end 367.486
transcript.whisperx[15].text 當然啦 針對這些事情不斷在檢討啦那我們也看得出來說有大部分的案例是因為我們的同仁沒有依照這個SOP 相關的SOP的規定下去做當你沒有依照SOP當然就容易出意外所以是人為的問題嘛人為的問題 人為的問題那部長 現在還要給您看一段影片 我們先來看影片
transcript.whisperx[16].start 368.772
transcript.whisperx[16].end 381.07
transcript.whisperx[16].text 來看一下我們到站列車317那就是他現在位置等一下位置然後等一下他到站之後他的317會不會變幽靈列車好我們看一下他會不會變幽靈列車進來看
transcript.whisperx[17].start 385.069
transcript.whisperx[17].end 399.71
transcript.whisperx[17].text 坐不見了一股、二股、三股、四股、五股、六股、一股還有車還有車不見了那他不是到車站沒了喔他還要去調度到那個基地喔沒了就這樣
transcript.whisperx[18].start 401.001
transcript.whisperx[18].end 415.114
transcript.whisperx[18].text 好部長您有看到嗎明明就是列車還在月台可是在這個監視畫面中我們沒有看到任何訊號他沒有顯示在這個監視畫面中那這邊也請我們林信德主委保護委員
transcript.whisperx[19].start 416.888
transcript.whisperx[19].end 432.438
transcript.whisperx[19].text 這個案例我聽台鐵公司有在說明這位值班的副站長他應該要理解實際的狀況但是他不理解然後還錄了影片給大家一個錯誤的訊息我認為這個是所以這個都是站長的問題嗎不是這個到了他終點站到了終點站本來他那個車號就是會消失
transcript.whisperx[20].start 439.923
transcript.whisperx[20].end 441.584
transcript.whisperx[20].text 我們有請台鐵提供資料 現在詳細資料還沒到我們這裡
transcript.whisperx[21].start 457.574
transcript.whisperx[21].end 480.624
transcript.whisperx[21].text 所以台鐵的詳細資料還沒有到運安會嗎?那運安會是什麼時候開始起動調查?就剛剛台鐵所說明的它是有一點類似像假信號資料事實上它不是真正實行但是我們還希望它的資料是說不定的所以現在台鐵說是因為這樣的情況所以就運安會就不用調查了嗎?不是還是會調查嗎?還是會調查我們還是還沒有考慮要不要立案因為它資料還沒有完全齊全
transcript.whisperx[22].start 481.568
transcript.whisperx[22].end 509.289
transcript.whisperx[22].text 所以剛才在我們台鐵的說明這個也是人為的問題嗎?不是系統出現錯誤嗎?包委員這個系統的設定長年來都是這樣設定但是錄影片的這一位先生是他不了解這個狀況那如果是一般的民眾不了解這個狀況我們可以接受如果說這位先生不了解狀況那是不是教育訓練出現了問題?我認為這個人的教育訓練應該是有問題我認為台鐵應該要懲處喔事實上軌道比賽我們有EP盤
transcript.whisperx[23].start 510.029
transcript.whisperx[23].end 525.627
transcript.whisperx[23].text 是 那會不會針對這位這位員工來做懲處我們會再加強訓練會再加強訓練了解我們的系統整個運作的一個所以他今天不了解這個系統你們就讓他上工啊沒有 他應該是要了解他
transcript.whisperx[24].start 526.604
transcript.whisperx[24].end 549.615
transcript.whisperx[24].text 我們這個部分也會詳細的去對他做輔導我認為除了訓練之外這位同仁在台鐵裡面這麼多年的時間不了解這個狀況還錄影片讓社會誤導社會對台鐵這件事情的誤解我認為這位員工台鐵要好好的輔導以外那就是台鐵本身就有很大的問題
transcript.whisperx[25].start 551.636
transcript.whisperx[25].end 564.655
transcript.whisperx[25].text 因為他在安全管理上面本來就是要系統化跟常態化還有標準化那為什麼今天會有這位這位員工他不了解情況他還把影片傳到傳到網路上那他明明就在第一線他應該要了解情況的啊
transcript.whisperx[26].start 568.533
transcript.whisperx[26].end 587.34
transcript.whisperx[26].text 報告委員我再說明稍微清楚一點這個是我們的TID系統就是車輛的列車資訊顯示的系統那他會跟我們車站的這個車站的一個顯示板是連動的所以因為他到終點站所以到站了這個列車就會
transcript.whisperx[27].start 588.26
transcript.whisperx[27].end 607.59
transcript.whisperx[27].text 就會消失掉因為避免旅客還看到那一班車還在還認為他還在營運他已經到站了那但是我們的安全絕對的安全是我們的CP盤就是我們的所以這一位副站長他其實應該說那麼多那其實就是台鐵現在內部還是存在著問題啊很大的問題啊
transcript.whisperx[28].start 609.195
transcript.whisperx[28].end 624.528
transcript.whisperx[28].text 沒有 這個我們會詳細的再去了解就剛才部長也提到本席今天也讓部長了解那請在督促開帖這件事情上系統沒問題啦這件事情上是人的誤解所以又是人為的問題嗎是人的誤解所以還有管理上面出了問題嗎這個我們來檢討好 謝謝部長