iVOD / 158171

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f7e4b646118ff6a1c273c7c152966054041ac1bd29e6d5ffddbfeaa1773dd92f250870e6442c78765ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 魯明哲
委員發言時間 11:46:36 - 11:59:10
影片長度 754
會議時間 2024-12-16T09:00:00+08:00
會議名稱 立法院第11屆第2會期交通委員會第15次全體委員會議(事由:一、邀請國家運輸安全調查委員會主任委員林信得列席報告業務概況,並備質詢。 二、審查114年度中央政府總預算案關於國家運輸安全調查委員會單位預算。 三、審查114年度中央政府總預算案關於交通部運輸研究所單位預算。 四、審查114年度中央政府總預算案關於交通部鐵道局及所屬單位預算。 五、審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金─鐵道發展基金分預算。 【僅進行詢答;委員預算提案於12月25日中午12時前截止收件】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 2.46096875
transcript.pyannote[0].end 7.15221875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 12.48471875
transcript.pyannote[1].end 14.79659375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 15.18471875
transcript.pyannote[2].end 15.82596875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 16.28159375
transcript.pyannote[3].end 17.93534375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 16.33221875
transcript.pyannote[4].end 16.85534375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 17.44596875
transcript.pyannote[5].end 18.37409375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 19.25159375
transcript.pyannote[6].end 20.17971875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 23.36909375
transcript.pyannote[7].end 26.05221875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 26.38971875
transcript.pyannote[8].end 48.64784375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 49.17096875
transcript.pyannote[9].end 64.42596875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 65.05034375
transcript.pyannote[10].end 85.50284375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 85.73909375
transcript.pyannote[11].end 94.53096875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 94.56471875
transcript.pyannote[12].end 97.56846875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 98.17596875
transcript.pyannote[13].end 99.72846875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 100.36971875
transcript.pyannote[14].end 100.65659375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 101.24721875
transcript.pyannote[15].end 102.22596875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 102.46221875
transcript.pyannote[16].end 103.60971875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 102.66471875
transcript.pyannote[17].end 102.74909375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 104.14971875
transcript.pyannote[18].end 108.73971875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 109.11096875
transcript.pyannote[19].end 110.41034375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 110.76471875
transcript.pyannote[20].end 114.47721875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 115.55721875
transcript.pyannote[21].end 119.55659375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 119.99534375
transcript.pyannote[22].end 120.68721875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 121.07534375
transcript.pyannote[23].end 122.10471875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 122.10471875
transcript.pyannote[24].end 122.15534375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 122.49284375
transcript.pyannote[25].end 123.03284375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 123.03284375
transcript.pyannote[26].end 127.58909375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 127.97721875
transcript.pyannote[27].end 134.77784375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 135.38534375
transcript.pyannote[28].end 138.62534375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 139.16534375
transcript.pyannote[29].end 140.83596875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 139.97534375
transcript.pyannote[30].end 141.15659375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 141.64596875
transcript.pyannote[31].end 164.03909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 164.03909375
transcript.pyannote[32].end 164.42721875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 164.47784375
transcript.pyannote[33].end 167.24534375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 168.96659375
transcript.pyannote[34].end 175.46346875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 175.46346875
transcript.pyannote[35].end 179.80034375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 177.47159375
transcript.pyannote[36].end 179.34471875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 180.18846875
transcript.pyannote[37].end 181.60596875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 181.90971875
transcript.pyannote[38].end 182.44971875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 182.70284375
transcript.pyannote[39].end 183.58034375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 183.93471875
transcript.pyannote[40].end 218.29221875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 218.86596875
transcript.pyannote[41].end 221.46471875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 221.90346875
transcript.pyannote[42].end 223.40534375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 223.55721875
transcript.pyannote[43].end 229.66596875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 230.56034375
transcript.pyannote[44].end 251.55284375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 252.29534375
transcript.pyannote[45].end 252.95346875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 253.59471875
transcript.pyannote[46].end 254.48909375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 255.11346875
transcript.pyannote[47].end 255.45096875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 255.55221875
transcript.pyannote[48].end 257.81346875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 258.48846875
transcript.pyannote[49].end 259.97346875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 260.36159375
transcript.pyannote[50].end 262.16721875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 262.80846875
transcript.pyannote[51].end 264.88409375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 265.47471875
transcript.pyannote[52].end 268.03971875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 268.30971875
transcript.pyannote[53].end 268.79909375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 269.06909375
transcript.pyannote[54].end 270.48659375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 270.87471875
transcript.pyannote[55].end 271.93784375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 272.96721875
transcript.pyannote[56].end 283.86846875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 284.29034375
transcript.pyannote[57].end 284.79659375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 285.01596875
transcript.pyannote[58].end 285.96096875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 286.82159375
transcript.pyannote[59].end 287.88471875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 288.32346875
transcript.pyannote[60].end 302.36346875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 302.65034375
transcript.pyannote[61].end 303.29159375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 303.56159375
transcript.pyannote[62].end 306.14346875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 306.16034375
transcript.pyannote[63].end 309.56909375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 309.67034375
transcript.pyannote[64].end 311.81346875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 312.31971875
transcript.pyannote[65].end 318.68159375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 319.40721875
transcript.pyannote[66].end 322.34346875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 322.69784375
transcript.pyannote[67].end 323.44034375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 324.06471875
transcript.pyannote[68].end 324.73971875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 325.24596875
transcript.pyannote[69].end 325.93784375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 326.39346875
transcript.pyannote[70].end 335.43846875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 335.84346875
transcript.pyannote[71].end 351.97596875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 350.45721875
transcript.pyannote[72].end 351.46971875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 351.84096875
transcript.pyannote[73].end 373.00221875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 352.16159375
transcript.pyannote[74].end 352.22909375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 373.00221875
transcript.pyannote[75].end 374.53784375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 375.16221875
transcript.pyannote[76].end 376.30971875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 376.57971875
transcript.pyannote[77].end 377.98034375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 378.45284375
transcript.pyannote[78].end 380.05596875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 380.47784375
transcript.pyannote[79].end 381.96284375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 382.38471875
transcript.pyannote[80].end 404.47409375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 404.62596875
transcript.pyannote[81].end 406.83659375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 407.37659375
transcript.pyannote[82].end 411.76409375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 412.10159375
transcript.pyannote[83].end 413.67096875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 413.75534375
transcript.pyannote[84].end 418.05846875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 418.51409375
transcript.pyannote[85].end 428.82471875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 429.12846875
transcript.pyannote[86].end 440.23221875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 440.41784375
transcript.pyannote[87].end 441.04221875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 441.34596875
transcript.pyannote[88].end 442.42596875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 442.71284375
transcript.pyannote[89].end 445.66596875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 446.23971875
transcript.pyannote[90].end 463.95846875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 464.24534375
transcript.pyannote[91].end 465.27471875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 466.33784375
transcript.pyannote[92].end 467.46846875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 467.73846875
transcript.pyannote[93].end 478.97721875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 480.07409375
transcript.pyannote[94].end 481.54221875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 481.76159375
transcript.pyannote[95].end 483.66846875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 484.27596875
transcript.pyannote[96].end 485.23784375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 485.42346875
transcript.pyannote[97].end 486.06471875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 486.79034375
transcript.pyannote[98].end 488.49471875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 488.83221875
transcript.pyannote[99].end 502.50096875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 493.05096875
transcript.pyannote[100].end 493.16909375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 502.82159375
transcript.pyannote[101].end 505.45409375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 506.14596875
transcript.pyannote[102].end 510.22971875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 510.68534375
transcript.pyannote[103].end 512.37284375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 512.57534375
transcript.pyannote[104].end 513.19971875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 514.02659375
transcript.pyannote[105].end 514.43159375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 514.75221875
transcript.pyannote[106].end 526.75034375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 527.15534375
transcript.pyannote[107].end 535.45784375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 536.26784375
transcript.pyannote[108].end 540.28409375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 540.41909375
transcript.pyannote[109].end 558.67784375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 558.67784375
transcript.pyannote[110].end 572.56596875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 572.93721875
transcript.pyannote[111].end 573.27471875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 573.81471875
transcript.pyannote[112].end 578.50596875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 578.70846875
transcript.pyannote[113].end 580.86846875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 581.18909375
transcript.pyannote[114].end 607.53096875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 586.80846875
transcript.pyannote[115].end 586.85909375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 586.96034375
transcript.pyannote[116].end 587.12909375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 600.35909375
transcript.pyannote[117].end 600.59534375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 607.76721875
transcript.pyannote[118].end 607.78409375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 607.78409375
transcript.pyannote[119].end 608.29034375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 608.17221875
transcript.pyannote[120].end 609.82596875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 609.85971875
transcript.pyannote[121].end 613.38659375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 613.45409375
transcript.pyannote[122].end 613.67346875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 613.58909375
transcript.pyannote[123].end 617.95971875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 613.67346875
transcript.pyannote[124].end 613.69034375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 613.69034375
transcript.pyannote[125].end 613.70721875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 618.14534375
transcript.pyannote[126].end 622.39784375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 622.54971875
transcript.pyannote[127].end 627.40971875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 627.51096875
transcript.pyannote[128].end 629.04659375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 629.65409375
transcript.pyannote[129].end 630.24471875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 630.46409375
transcript.pyannote[130].end 632.50596875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 632.92784375
transcript.pyannote[131].end 633.73784375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 633.77159375
transcript.pyannote[132].end 634.32846875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 634.44659375
transcript.pyannote[133].end 636.21846875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 636.60659375
transcript.pyannote[134].end 640.42034375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 639.45846875
transcript.pyannote[135].end 642.81659375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 640.70721875
transcript.pyannote[136].end 645.97221875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 645.97221875
transcript.pyannote[137].end 646.57971875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 646.81596875
transcript.pyannote[138].end 650.44409375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 650.93346875
transcript.pyannote[139].end 664.65284375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 665.27721875
transcript.pyannote[140].end 665.71596875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 666.15471875
transcript.pyannote[141].end 677.19096875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 677.46096875
transcript.pyannote[142].end 677.86596875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 677.95034375
transcript.pyannote[143].end 679.85721875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 681.56159375
transcript.pyannote[144].end 682.60784375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 683.13096875
transcript.pyannote[145].end 709.92846875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 710.51909375
transcript.pyannote[146].end 713.42159375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 713.69159375
transcript.pyannote[147].end 716.72909375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 716.81346875
transcript.pyannote[148].end 723.02346875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 723.17534375
transcript.pyannote[149].end 726.68534375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 727.15784375
transcript.pyannote[150].end 728.42346875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 728.76096875
transcript.pyannote[151].end 731.44409375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 731.66346875
transcript.pyannote[152].end 735.57846875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 736.03409375
transcript.pyannote[153].end 737.36721875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 738.02534375
transcript.pyannote[154].end 739.52721875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 739.89846875
transcript.pyannote[155].end 741.50159375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 741.77159375
transcript.pyannote[156].end 743.64471875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 743.77971875
transcript.pyannote[157].end 745.02846875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 745.07909375
transcript.pyannote[158].end 745.87221875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 746.46284375
transcript.pyannote[159].end 747.35721875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 747.81284375
transcript.pyannote[160].end 751.94721875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 752.16659375
transcript.pyannote[161].end 753.43221875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 752.31846875
transcript.pyannote[162].end 752.52096875
transcript.whisperx[0].start 2.526
transcript.whisperx[0].end 6.791
transcript.whisperx[0].text 像因為登記質詢發言的委員魯明哲委員請魯明哲召委謝謝主席有請陳部長還有鐵道局楊局長請楊局長
transcript.whisperx[1].start 23.413
transcript.whisperx[1].end 48.274
transcript.whisperx[1].text 好,直接切入主題啦,這個我們在機場捷運的耗資問題啊,因為現在面臨要新購10列車,可以6值4普,那這個在購車的過程中,因為大家都知道嘛,列車只是骨頭啊,它的神經系統就是那耗資嘛,那耗資出問題,上次我在總諮詢7月5號,也講了很多了齁,不過,
transcript.whisperx[2].start 49.255
transcript.whisperx[2].end 64.133
transcript.whisperx[2].text 我不知道待會因為上次執行的是前部長李孟彥部長不過我剛剛看到不管是高雄的一個計畫時程台中的一個問之前李部長答應的我相信這個陳部長剛剛我看回答的部分
transcript.whisperx[3].start 65.114
transcript.whisperx[3].end 67.075
transcript.whisperx[3].text 現在是人多的 有一班是根本擠不上去
transcript.whisperx[4].start 86.125
transcript.whisperx[4].end 113.577
transcript.whisperx[4].text 我們政人待會就要講話了我們那個劉委員每天來立法院是我們的集結的愛用戶那經常擠不上去待會他會來說那現在這個狀況你不解決不行來我們聽一下找到的這個部分那就就沒問題了就是這個新的車還是裝兩套到了我們中壢再西門子再裝一套兩套系統就這樣的湊合的過河
transcript.whisperx[5].start 115.818
transcript.whisperx[5].end 133.96
transcript.whisperx[5].text 另外第二種方式呢?如果你真的買不到怎麼辦?因為現在都問不到怎麼辦?院長你要不要說一下?如果都買不到你有沒有什麼初步的想法?我的想法是因為他現在雖然使用林縣不到啦但是安全的考量看有沒有特別的需求否則就是現在如果買到舊的未來還是問題
transcript.whisperx[6].start 135.782
transcript.whisperx[6].end 163.794
transcript.whisperx[6].text 况現在要買到舊的可能很麻煩可能就是要全線做一個接行沒有訊號系統啊沒有辦法停啊如果可以更新系統他們一定新設站可以解決這個部分因為我認為是行政院級的一個要統合的一個問題是不是能拜託我們卓院長跟我們的部長還有鐵道局能夠深思這個問題在三個月之內你總是要有一個方向不然都來不及可以嗎?
transcript.whisperx[7].start 164.774
transcript.whisperx[7].end 165.254
transcript.whisperx[7].text 現在一個情況是舊的系統
transcript.whisperx[8].start 184.345
transcript.whisperx[8].end 186.187
transcript.whisperx[8].text 第二、審查114年度中央政府總預算案關於國家運輸安全調查委員會單位預算
transcript.whisperx[9].start 207.083
transcript.whisperx[9].end 213.806
transcript.whisperx[9].text 二、審查114年度中央政府總預算案關於國家運輸安全調查委員會單位預算案關於國家運輸安全調查委員會單位預算案關於國家運輸安全調查委員會單位預算
transcript.whisperx[10].start 230.661
transcript.whisperx[10].end 232.222
transcript.whisperx[10].text 五、審查114年度五、審查114年度五、審查114年度五、審查114年度
transcript.whisperx[11].start 258.553
transcript.whisperx[11].end 259.674
transcript.whisperx[11].text 五、審查114年度五、審查114年度五、審查114年度五、審查114年度
transcript.whisperx[12].start 286.877
transcript.whisperx[12].end 290.459
transcript.whisperx[12].text adequate to the current situation in Taiwan.
transcript.whisperx[13].start 312.312
transcript.whisperx[13].end 312.913
transcript.whisperx[13].text bicyclist 卓院長
transcript.whisperx[14].start 324.11
transcript.whisperx[14].end 329.394
transcript.whisperx[14].text 二、審查114年度中央政府總預算案關於國家運輸安全調查委員會單位預算。adequate to the current system.
transcript.whisperx[15].start 350.512
transcript.whisperx[15].end 374.193
transcript.whisperx[15].text 目前地方政府解決進度地方政府比較希望能夠提早重置整個耗資系統要提早重置因為你要買新的車那舊的這個耗資大概也買不到了那所以希望提早重置那在交通部的立場其實我們是支持提早重置這個部分我們是支持的那但是要由桃園市政府他們來提出來請他們提出來那我們會支持是提出來還是拿出來
transcript.whisperx[16].start 375.615
transcript.whisperx[16].end 394.715
transcript.whisperx[16].text 這個動詞很重要提出來是沒問題現在一個狀況是這樣他們因為五個月了因為他們畢竟第一線他們也應該包括捷工局跟大眾捷運公司不斷的找相關的開會甚至有其他廠商大家來討論現在因為現在頭已經洗下去了你知道嗎
transcript.whisperx[17].start 395.296
transcript.whisperx[17].end 395.997
transcript.whisperx[17].text bicyclap
transcript.whisperx[18].start 418.579
transcript.whisperx[18].end 423.28
transcript.whisperx[18].text 單位預算案關於交通部運輸安全調查委員會單位預算案關於交通部運輸安全調查委員會單位預算
transcript.whisperx[19].start 446.346
transcript.whisperx[19].end 464.452
transcript.whisperx[19].text 是不是又要考慮全部那第二個方案是我們當時在討論說那你要全線到底也謝謝這個鐵道局有去發函給耗資公司喔所以希望你們來協助地方政府你好歹提出一個解決方案提出一個報價這是你們有發文的這我知道但還報價啦
transcript.whisperx[20].start 466.34
transcript.whisperx[20].end 467.841
transcript.whisperx[20].text 三、審查114年度三、審查114年度三、審查114年度三、審查114年度
transcript.whisperx[21].start 486.835
transcript.whisperx[21].end 512.995
transcript.whisperx[21].text 就台幣108億我覺得我們要面對這個問題部長我要拜託你啦拜託你真的你跟院長要幫忙一下鐵道局鐵道局楊局長我跟討論很多次有這個心啦但是大家看這個錢也不是他鐵道局可以去決定的啦那我們現在再重新錄音一次桃園市政府為了要把國門這個整個的甚至北北桃整個的運輸做好然後呢
transcript.whisperx[22].start 514.073
transcript.whisperx[22].end 515.814
transcript.whisperx[22].text 二、審查114年度二、審查114年度二、審查114年度二、審查114年度
transcript.whisperx[23].start 536.311
transcript.whisperx[23].end 538.432
transcript.whisperx[23].text 二、審查114年度中央政府總預算案關於交通部運輸安全調查委員會單位預算
transcript.whisperx[24].start 555.021
transcript.whisperx[24].end 557.502
transcript.whisperx[24].text 二、審查114年度中央政府總預算案關於交通部運輸安全調查委員會單位預算
transcript.whisperx[25].start 572.981
transcript.whisperx[25].end 601.504
transcript.whisperx[25].text 好 這個我務必要拜託你因為這個是真的是國家機場的大建設現在的因為從幾個行下未來三行下要來那這個部分的客人會真的很多現在擠在那邊其實難看那這個108億對於整個整個的一個補助叫地方出實在是不可能那現在的一個整個的一個集結整包我建議部長整包要去研究一下你沒有第一個資產轉移方案
transcript.whisperx[26].start 602.645
transcript.whisperx[26].end 602.845
transcript.whisperx[26].text 二、審查114年度
transcript.whisperx[27].start 629.702
transcript.whisperx[27].end 631.683
transcript.whisperx[27].text 二、審查114年度二、審查114年度三、審查114年度二、審查114年度三、審查114年度
transcript.whisperx[28].start 651.033
transcript.whisperx[28].end 677.563
transcript.whisperx[28].text 因為你來這邊也跟我說當然你跟捷運公司也說你們建議的方案就是一個整合性整合性的一個對耗資系統整合性的一個發包策略它的簡單的意思就是說假設是西門子或者亞斯通都不管哪一家你不是光做這個喔不是光是集結新車裝這個而已喔那未來我還有機場綠潔延伸線喔我還有龜山的中線喔
transcript.whisperx[29].start 681.585
transcript.whisperx[29].end 708.423
transcript.whisperx[29].text 但是我問採購我問行政院工程會他說可以這樣搞啊你還講說未來還有丘龍華委員那邊的巴德大西亞我們10年以後發包也是你新門子的你敢講我不敢講我說真的如果這種叫做整合是不行的我是拜託局長因為現在的綠色捷運延伸線我特別要提醒當時在政事長時代發包的時候已經把延伸線作為後續擴充
transcript.whisperx[30].start 710.564
transcript.whisperx[30].end 724.061
transcript.whisperx[30].text 二、審查114年度中央政府總預算案關於交通部運輸安全調查委員會單位預算。netesle,你跟他講說你不要這個,已經被人家用一次了,後續擴充優先找他一架,所以你再跟他講我要跟你談,我已經是優先一架,這沒有用了,那未來中線456億有多少積電的?
transcript.whisperx[31].start 727.205
transcript.whisperx[31].end 727.705
transcript.whisperx[31].text adequ.委員
IVOD_ID 158171
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158171
日期 2024-12-16
會議資料.會議代碼 委員會-11-2-23-15
會議資料.屆 11
會議資料.會期 2
會議資料.會次 15
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.標題 第11屆第2會期交通委員會第15次全體委員會議
影片種類 Clip
開始時間 2024-12-16T11:46:36+08:00
結束時間 2024-12-16T11:59:10+08:00
支援功能[0] ai-transcript