iVOD / 159885

Field Value
IVOD_ID 159885
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159885
日期 2025-04-07
會議資料.會議代碼 聯席會議-11-3-23,36-1
會議資料.會議代碼:str 第11屆第3會期交通、司法及法制委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 23
會議資料.委員會代碼[1] 36
會議資料.委員會代碼:str[0] 交通委員會
會議資料.委員會代碼:str[1] 司法及法制委員會
會議資料.標題 第11屆第3會期交通、司法及法制委員會第1次聯席會議
影片種類 Clip
開始時間 2025-04-07T10:07:21+08:00
結束時間 2025-04-07T10:18:45+08:00
影片長度 00:11:24
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/c41b1a0504d137e5442bd90dd84733c8daa51b2df98f8e7f9acb4c1531107a79e8a977c2421e346e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 魯明哲
委員發言時間 10:07:21 - 10:18:45
會議時間 2025-04-07T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通、司法及法制委員會第1次聯席會議(事由:審查一、委員蔡其昌等17人、二、委員林宜瑾等27人、三、委員楊瓊瓔等21人及四、委員徐富癸等17人分別擬具「國營臺灣鐵路股份有限公司設置條例第十條及第二十三條條文修正草案」案。 【以上各案詢答完畢後,進行處理】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 6.51096875
transcript.pyannote[0].end 7.50659375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 8.36721875
transcript.pyannote[1].end 10.52721875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 11.21909375
transcript.pyannote[2].end 12.55221875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.22721875
transcript.pyannote[3].end 13.78409375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 13.96971875
transcript.pyannote[4].end 15.08346875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 15.60659375
transcript.pyannote[5].end 16.66971875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 18.39096875
transcript.pyannote[6].end 26.03534375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 22.98096875
transcript.pyannote[7].end 23.30159375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 26.54159375
transcript.pyannote[8].end 29.42721875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 30.30471875
transcript.pyannote[9].end 36.43034375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 35.90721875
transcript.pyannote[10].end 37.08846875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 37.96596875
transcript.pyannote[11].end 38.16846875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 38.59034375
transcript.pyannote[12].end 41.77971875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 42.21846875
transcript.pyannote[13].end 44.34471875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 42.91034375
transcript.pyannote[14].end 42.99471875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 43.02846875
transcript.pyannote[15].end 43.21409375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 45.91409375
transcript.pyannote[16].end 46.70721875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 47.48346875
transcript.pyannote[17].end 88.62471875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 89.14784375
transcript.pyannote[18].end 89.82284375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 90.02534375
transcript.pyannote[19].end 90.43034375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 91.94909375
transcript.pyannote[20].end 93.19784375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 93.65346875
transcript.pyannote[21].end 95.05409375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 95.57721875
transcript.pyannote[22].end 99.86346875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 99.91409375
transcript.pyannote[23].end 99.96471875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 100.30221875
transcript.pyannote[24].end 102.56346875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 102.86721875
transcript.pyannote[25].end 104.38596875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 104.79096875
transcript.pyannote[26].end 106.32659375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 106.88346875
transcript.pyannote[27].end 108.52034375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 109.02659375
transcript.pyannote[28].end 110.22471875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 111.35534375
transcript.pyannote[29].end 118.07159375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 118.07159375
transcript.pyannote[30].end 118.08846875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 119.60721875
transcript.pyannote[31].end 127.30221875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 127.62284375
transcript.pyannote[32].end 135.90846875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 127.87596875
transcript.pyannote[33].end 128.33159375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 129.42846875
transcript.pyannote[34].end 130.49159375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 136.26284375
transcript.pyannote[35].end 138.10221875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 139.08096875
transcript.pyannote[36].end 139.38471875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 140.39721875
transcript.pyannote[37].end 142.74284375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 143.19846875
transcript.pyannote[38].end 144.46409375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 145.64534375
transcript.pyannote[39].end 149.00346875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 149.20596875
transcript.pyannote[40].end 153.52596875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 154.18409375
transcript.pyannote[41].end 155.01096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 155.58471875
transcript.pyannote[42].end 159.90471875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 160.36034375
transcript.pyannote[43].end 166.14846875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 166.63784375
transcript.pyannote[44].end 169.08471875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 169.62471875
transcript.pyannote[45].end 177.75846875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 178.02846875
transcript.pyannote[46].end 178.26471875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 178.80471875
transcript.pyannote[47].end 183.29346875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 183.63096875
transcript.pyannote[48].end 192.52409375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 192.77721875
transcript.pyannote[49].end 205.01159375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 204.75846875
transcript.pyannote[50].end 207.93096875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 208.53846875
transcript.pyannote[51].end 210.49596875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 210.83346875
transcript.pyannote[52].end 213.02721875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 213.26346875
transcript.pyannote[53].end 217.29659375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 218.20784375
transcript.pyannote[54].end 220.90784375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 221.19471875
transcript.pyannote[55].end 224.23221875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 224.55284375
transcript.pyannote[56].end 236.70284375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 236.19659375
transcript.pyannote[57].end 239.11596875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 239.70659375
transcript.pyannote[58].end 249.76409375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 249.37596875
transcript.pyannote[59].end 259.92284375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 260.41221875
transcript.pyannote[60].end 260.76659375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 261.07034375
transcript.pyannote[61].end 269.08596875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 265.08659375
transcript.pyannote[62].end 265.50846875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 269.06909375
transcript.pyannote[63].end 270.97596875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 271.44846875
transcript.pyannote[64].end 272.57909375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 273.47346875
transcript.pyannote[65].end 275.46471875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 275.83596875
transcript.pyannote[66].end 282.95721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 283.63221875
transcript.pyannote[67].end 284.54346875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 285.11721875
transcript.pyannote[68].end 287.47971875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 288.50909375
transcript.pyannote[69].end 289.01534375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 289.35284375
transcript.pyannote[70].end 291.47909375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 292.01909375
transcript.pyannote[71].end 294.14534375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 294.48284375
transcript.pyannote[72].end 296.08596875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 296.35596875
transcript.pyannote[73].end 297.28409375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 298.14471875
transcript.pyannote[74].end 299.66346875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 300.13596875
transcript.pyannote[75].end 303.03846875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 303.19034375
transcript.pyannote[76].end 312.80909375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 313.21409375
transcript.pyannote[77].end 315.00284375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 316.30221875
transcript.pyannote[78].end 316.70721875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 317.16284375
transcript.pyannote[79].end 320.70659375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 320.95971875
transcript.pyannote[80].end 323.40659375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 323.98034375
transcript.pyannote[81].end 325.36409375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 326.83221875
transcript.pyannote[82].end 328.70534375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 329.59971875
transcript.pyannote[83].end 330.20721875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 330.78096875
transcript.pyannote[84].end 331.94534375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 332.85659375
transcript.pyannote[85].end 334.54409375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 335.11784375
transcript.pyannote[86].end 336.77159375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 337.56471875
transcript.pyannote[87].end 337.90221875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 338.34096875
transcript.pyannote[88].end 339.20159375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 339.60659375
transcript.pyannote[89].end 340.43346875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 340.83846875
transcript.pyannote[90].end 341.39534375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 342.17159375
transcript.pyannote[91].end 342.81284375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 343.38659375
transcript.pyannote[92].end 344.21346875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 344.68596875
transcript.pyannote[93].end 345.98534375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 346.13721875
transcript.pyannote[94].end 349.46159375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 349.96784375
transcript.pyannote[95].end 351.52034375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 352.11096875
transcript.pyannote[96].end 359.36721875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 359.56971875
transcript.pyannote[97].end 362.13471875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 362.65784375
transcript.pyannote[98].end 369.10409375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 369.45846875
transcript.pyannote[99].end 370.92659375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 371.01096875
transcript.pyannote[100].end 371.02784375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 371.07846875
transcript.pyannote[101].end 372.69846875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 373.42409375
transcript.pyannote[102].end 375.11159375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 376.54596875
transcript.pyannote[103].end 377.65971875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 378.19971875
transcript.pyannote[104].end 378.67221875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 379.43159375
transcript.pyannote[105].end 382.77284375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 383.29596875
transcript.pyannote[106].end 384.69659375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 385.25346875
transcript.pyannote[107].end 385.64159375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 386.08034375
transcript.pyannote[108].end 386.94096875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 387.37971875
transcript.pyannote[109].end 392.71221875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 392.96534375
transcript.pyannote[110].end 395.07471875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 395.34471875
transcript.pyannote[111].end 400.40721875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 400.72784375
transcript.pyannote[112].end 404.77784375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 406.83659375
transcript.pyannote[113].end 422.83409375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 423.15471875
transcript.pyannote[114].end 430.56284375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 430.81596875
transcript.pyannote[115].end 442.54409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 443.33721875
transcript.pyannote[116].end 445.78409375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 446.44221875
transcript.pyannote[117].end 466.69221875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 467.80596875
transcript.pyannote[118].end 469.69596875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 470.23596875
transcript.pyannote[119].end 472.81784375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 473.25659375
transcript.pyannote[120].end 474.28596875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 474.67409375
transcript.pyannote[121].end 476.14221875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 476.36159375
transcript.pyannote[122].end 477.35721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 477.64409375
transcript.pyannote[123].end 477.96471875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 478.45409375
transcript.pyannote[124].end 480.51284375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 480.98534375
transcript.pyannote[125].end 482.16659375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 483.09471875
transcript.pyannote[126].end 486.65534375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 486.72284375
transcript.pyannote[127].end 487.33034375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 487.81971875
transcript.pyannote[128].end 490.26659375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 490.48596875
transcript.pyannote[129].end 498.14721875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 499.34534375
transcript.pyannote[130].end 510.58409375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 510.85409375
transcript.pyannote[131].end 515.41034375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 515.88284375
transcript.pyannote[132].end 516.97971875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 517.97534375
transcript.pyannote[133].end 520.18596875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 520.54034375
transcript.pyannote[134].end 525.82221875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 526.51409375
transcript.pyannote[135].end 536.43659375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 536.99346875
transcript.pyannote[136].end 545.12721875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 545.38034375
transcript.pyannote[137].end 546.78096875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 547.47284375
transcript.pyannote[138].end 548.70471875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 548.75534375
transcript.pyannote[139].end 550.03784375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 551.55659375
transcript.pyannote[140].end 552.01221875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 552.24846875
transcript.pyannote[141].end 554.20596875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 554.77971875
transcript.pyannote[142].end 555.79221875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 555.96096875
transcript.pyannote[143].end 557.07471875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 557.34471875
transcript.pyannote[144].end 557.95221875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 558.22221875
transcript.pyannote[145].end 558.52596875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 559.08284375
transcript.pyannote[146].end 559.53846875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 559.97721875
transcript.pyannote[147].end 561.31034375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 564.29721875
transcript.pyannote[148].end 570.15284375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 568.98846875
transcript.pyannote[149].end 570.11909375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 570.15284375
transcript.pyannote[150].end 572.98784375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 572.83596875
transcript.pyannote[151].end 574.28721875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 574.28721875
transcript.pyannote[152].end 576.07596875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 576.31221875
transcript.pyannote[153].end 581.64471875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 580.91909375
transcript.pyannote[154].end 581.98221875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 582.16784375
transcript.pyannote[155].end 596.15721875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 596.47784375
transcript.pyannote[156].end 601.03409375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 601.55721875
transcript.pyannote[157].end 603.16034375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 603.46409375
transcript.pyannote[158].end 605.82659375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 606.29909375
transcript.pyannote[159].end 615.37784375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 615.91784375
transcript.pyannote[160].end 617.53784375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 618.31409375
transcript.pyannote[161].end 619.66409375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 620.32221875
transcript.pyannote[162].end 620.86221875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 621.18284375
transcript.pyannote[163].end 623.03909375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 623.32596875
transcript.pyannote[164].end 628.23659375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 628.48971875
transcript.pyannote[165].end 634.42971875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 634.42971875
transcript.pyannote[166].end 634.44659375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 634.68284375
transcript.pyannote[167].end 639.07034375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 639.61034375
transcript.pyannote[168].end 645.60096875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 646.73159375
transcript.pyannote[169].end 662.22284375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 662.35784375
transcript.pyannote[170].end 680.04284375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 680.34659375
transcript.pyannote[171].end 682.01721875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 683.01284375
transcript.pyannote[172].end 683.60346875
transcript.whisperx[0].start 6.519
transcript.whisperx[0].end 29.398
transcript.whisperx[0].text 好 謝謝主席有請我們這個現在變董事長 吳董跟次長請次長次長就請教一下我們現在剛剛這個台鐵啦台鐵的一個票價它的一個幅度它的現在進度實施的日期確定沒有
transcript.whisperx[1].start 30.68
transcript.whisperx[1].end 43.961
transcript.whisperx[1].text 跟委員報告我想這部分因為行政已經核定了大概我們預估什麼時候實施6月23日目前一定是6月23日要調整6月份對6月份
transcript.whisperx[2].start 45.956
transcript.whisperx[2].end 71.218
transcript.whisperx[2].text 其實我們當然看到每一次任何費用要調帳的時候我們勢必會有一些這個民怨產生啦但對台鐵幾十年票價沒有這個調過然後大家又對你的安全包括你的新車包括你的這個革新有很多期待那這一次我在坊間聽到的當然我們有些民怨肯定是有
transcript.whisperx[3].start 71.798
transcript.whisperx[3].end 90.116
transcript.whisperx[3].text 但我覺得對於你們一個調帳的這個部分民眾更在意說他的錢用到哪裡去了再來就是說這樣可以促成你什麼樣的一個革新安全怎麼樣去提升我相信這個部分在台鐵也有這樣的一個認知吧是有好
transcript.whisperx[4].start 92.197
transcript.whisperx[4].end 107.963
transcript.whisperx[4].text 錢用到哪裡去這是一個感受的問題你自己的每天的財務報表年度的部分只有你自己的看到民眾的一個感受我就覺得不管是台鐵交通部甚至現在代理董事長你們真的要去注意這個問題市長請問一下
transcript.whisperx[5].start 111.877
transcript.whisperx[5].end 138.016
transcript.whisperx[5].text 這個紀念燈光八千萬 超過八千萬主任你是不是事前知情 還是推手之一這之前是有台鐵局 台鐵公司在處理的我是 大概是當天知道的八千多萬 但是我知道報紙出來 你跟我們一樣 報紙出來你才知道不是 那個隧道燈光我知道有做這個隧道燈光但是那個價錢是哪一天才知道
transcript.whisperx[6].start 139.09
transcript.whisperx[6].end 163.437
transcript.whisperx[6].text 好那接下來是不是 台鐵馮總這個因為最主要是這樣第一個8000多萬這個是經費讓我們所有的人民感覺是怎麼會相對這麼高第二個是他這個燈光不是每天開大概按照你們的規劃每一年的4月2號開到4月6號就一年365天營業5天
transcript.whisperx[7].start 166.718
transcript.whisperx[7].end 182.986
transcript.whisperx[7].text 那我就請教一下這個總經理來回答了那你這個部分為什麼不每天開會不會造成什麼平常列車的一個什麼樣的一個影響為什麼不每天開你說一下包委員今天要做回應第一點是剛才說設置其實在
transcript.whisperx[8].start 183.746
transcript.whisperx[8].end 207.706
transcript.whisperx[8].text 在112年的過程中我們跟家屬討論好幾次就包括要設一個紀念碑、牆還有地景的一個形式那過程中因為還涉及到這個是太魯閣國家公園的一個保育地區所以也不適合做大量的一些設施所以最後才家屬有提出來說那用光影的方式來紀念所以我問你為什麼不每天開啦一年只能開五天
transcript.whisperx[9].start 208.166
transcript.whisperx[9].end 234.125
transcript.whisperx[9].text 好 這個前面有說明 第二個是說開放的啟用時間 主要這個光影紀念燈光 隧道紀念燈光 它目的是在在追思 然後在反省讓台鐵可以反省 讓社會大眾能夠這個看到這個燈光 能夠再提醒警惕台鐵繼續完成安全改革所以基於這個目的 所以在選定在事故發生的4月2號為期5天的時間
transcript.whisperx[10].start 236.546
transcript.whisperx[10].end 259.739
transcript.whisperx[10].text 會不會造成行車安全上面的一些顧慮對在過程中其實在決定這個用隧道紀念燈光我們也經過充分討論我們所有相關部門包括機務的部門跑行車的部門都有做討論會不會對行車的安全整體如果每天每台列車都開的話整體評估會不會對於你們火車行車的安全是降低還是提升
transcript.whisperx[11].start 261.18
transcript.whisperx[11].end 287.037
transcript.whisperx[11].text 我們是盡量避免他對司機員行車的影響所以那個燈光是在我們駕駛艙過去以後才會開始起你花了八千萬是第一個問題第二個問題是說你採用一種降低可能降低行車安全的方式來紀念一場非常慘的行車的事故我覺得對於往生者傷亡者的紀念
transcript.whisperx[12].start 288.71
transcript.whisperx[12].end 312.228
transcript.whisperx[12].text 對於我們現在家屬的安慰最大安慰是什麼就是台鐵的革新跟安全體能就這兩項而已就這兩項你現在用一個開燈可能會造成不管是司機員反光或者因為光太亮如果有異物進入的時候不易發現你用減損安全的方式來紀念我個人覺得錢是一個問題我是覺得蠻大的一個諷刺
transcript.whisperx[13].start 316.345
transcript.whisperx[13].end 341.172
transcript.whisperx[13].text 第二個 這也是你們台鐵第一次在紀念這樣的一個事故我是覺得值得紀念但是你們第一次採用直接在火車的軌道 隧道 行車路線上去擺設 設計這個紀念這是很恐怖的二 我們普悠瑪 普悠瑪事件也是
transcript.whisperx[14].start 342.179
transcript.whisperx[14].end 361.921
transcript.whisperx[14].text 很糟糕啊在哪紀念呢你們都是異地嘛去台東火車站前面的紀念公園你們現在擺到軌道中啊我跟你講要不要人去維修要不要回修你說都沒事反光可以忍過看不到衣物那就每天在比運氣然後再來呢
transcript.whisperx[15].start 362.742
transcript.whisperx[15].end 375.033
transcript.whisperx[15].text 什麼時候要去維修呢肯定要維修嘛不然隔一年這五天怎麼會亮呢誰進這隧道維修他要不要開機具進去每一個都是安全風險的因子啊
transcript.whisperx[16].start 376.601
transcript.whisperx[16].end 404.649
transcript.whisperx[16].text 我真的是覺得你們在普悠瑪的一個事故花了836萬836萬在這個異地在台東的一個車站前面建那我不知道為什麼我跟你講不要扯到家屬家屬說換一種敬念碑的方式並沒有說你一定要用燈光說要用燈光並沒有說要花8000萬花2000萬不行嗎這是你們設計你們後面的一個制度啦
transcript.whisperx[17].start 406.874
transcript.whisperx[17].end 430.115
transcript.whisperx[17].text 我想這個時間不夠啦 最後我也講 因為你們兩個監理單位不同那剛剛第一件事你們自己去思考 監理單位不同 裁發標準不一樣正好112年9月之前 是我們當時的伍聖元你當鐵道局的局長 你現在是次長那我們現在楊振軍是現任鐵道局的 接任你的一個局長我覺得很奇怪你知道嗎
transcript.whisperx[18].start 430.936
transcript.whisperx[18].end 438.079
transcript.whisperx[18].text 那台鐵一直每天開每天開都不變問題大到小小都有結果奇怪了在112年9月11號以前居然監理單位沒有裁罰過
transcript.whisperx[19].start 443.373
transcript.whisperx[19].end 466.528
transcript.whisperx[19].text 你知道嗎 即使在110年的時候太魯閣出軌 甚至更早的時候普庸馬我們當時的監理單位居然沒有開罰我們調資料沒有開罰發生什麼大事都是小事只要蓋得住 掩得住 藏得住都是小事但是我們看到112年9月11號之後是因為楊局長你上任之後這個革新勵志嗎 還是怎樣 我不懂啊
transcript.whisperx[20].start 468.665
transcript.whisperx[20].end 481.923
transcript.whisperx[20].text 連續17個月開了12件那我覺得這個你去研究吧是以前太混了還是太認真了還是台鐵越變越差為什麼 什麼原因但是我最後一件事我真的要提醒你們
transcript.whisperx[21].start 483.124
transcript.whisperx[21].end 497.295
transcript.whisperx[21].text 很多常在細節你現在是看小事一個小的裂縫哪天變成大裂縫的時候你們來不及你看看這12條裁罰的一個理由啊你請問一下注意看第三跟第五淺藍色標示那個
transcript.whisperx[22].start 499.4
transcript.whisperx[22].end 516.706
transcript.whisperx[22].text 就是你們規定要九冊結果未實施九冊也可以上去開那是什麼原因我是想不通啦到底為什麼這麼鬆散當然這112年的現在倒過去就罰那接下來呢有六件事情用紅色底的這個標示全部都是
transcript.whisperx[23].start 518.819
transcript.whisperx[23].end 536.079
transcript.whisperx[23].text 體檢不合格的人上去運物站值班站長或者執行行車工作他就不合格我們陸海空相關的有一些職業人員你必須經過體檢因為他有一定的公共的責任車上幾百人
transcript.whisperx[24].start 537.3
transcript.whisperx[24].end 546.323
transcript.whisperx[24].text 結果我看都高雄站我不知道在肯定誰知道哪一個司機員哪個體檢過哪一個體檢不過只有內部知道但你內部再怎麼鬥或者有什麼問題剛剛提的是對的而且鐵道局也下去去確認你是不合格體檢不合格的人不斷的去這個你覺得是不是不應該
transcript.whisperx[25].start 564.369
transcript.whisperx[25].end 581.052
transcript.whisperx[25].text 不適任體檢不適合的人不斷上去 總經理你答體檢不合格我們是不能派任擔任不能派任為什麼派了呢我們現在都有特別按照鐵路法的相關規定我們體檢合格的人員才會擔任執行官
transcript.whisperx[26].start 582.253
transcript.whisperx[26].end 599.211
transcript.whisperx[26].text 第二十二項是一百一四年才發日期當然你發生日期是一百一十二年我最後也是希望鐵道局去研究一下你開個罰單要延遲兩年去檢驗現在一百一三年都沒問題嗎一張罰單一百一四年都沒問題嗎我覺得你這個東西要立竿見影 次長
transcript.whisperx[27].start 601.613
transcript.whisperx[27].end 619.284
transcript.whisperx[27].text 督導一下有問題輔導期之後你說三個月對不對四個月你罰單就要開出來為什麼讓他公司能夠有這個依據內部一個懲處嘛像高雄站發生這麼嚴重的事這麼多次他的管理單位他的高層發生一次你處理
transcript.whisperx[28].start 621.546
transcript.whisperx[28].end 645.345
transcript.whisperx[28].text 義務員 刺激員 或是那個人發生兩次基層的阻管 發生四五次 五六次如果你們再擺爛 我跟你講發生大事 我覺得是大家不願意看到的能不能市長好好去督導一下我跟委員報告 鐵路法是在112年修訂的那剛剛提到那些 其實我現在要求鐵道局他針對台鐵的所謂的退行
transcript.whisperx[29].start 646.752
transcript.whisperx[29].end 660.75
transcript.whisperx[29].text 耗資冒進這些要加強來處分也就是講白一點就是裁罰如果違反這個規定這是最基本的也就是說你的燈號沒有依照燈號去做這是很基本的所以這部我已經要求鐵道局這個要來嚴格執行
transcript.whisperx[30].start 662.403
transcript.whisperx[30].end 681.295
transcript.whisperx[30].text 好 希望鐵道局能夠加快這種從看到這個事件到最後開罰因為你們在處理我們調資料也沒有 對不對到底113年發生什麼事到現在我調不到但我覺得這不好啦你委員也是好心在幫你們去push這件事情抱歉 耽誤很多時間 謝謝謝謝委員