iVOD / 159216

Field Value
IVOD_ID 159216
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159216
日期 2025-03-17
會議資料.會議代碼 委員會-11-3-23-3
會議資料.會議代碼:str 第11屆第3會期交通委員會第3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 3
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3次全體委員會議
影片種類 Clip
開始時間 2025-03-17T09:24:35+08:00
結束時間 2025-03-17T09:41:38+08:00
影片長度 00:17:03
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/597499b2503050fb6a8ee262de7c03fdfc70f51a359b58cfce1d26ba49c773cdb70c920121590e455ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 洪孟楷
委員發言時間 09:24:35 - 09:41:38
會議時間 2025-03-17T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通委員會第3次全體委員會議(事由:邀請行政院公共工程委員會主任委員陳金德列席報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 2.05596875
transcript.pyannote[0].end 4.23284375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 4.41846875
transcript.pyannote[1].end 4.87409375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 4.87409375
transcript.pyannote[2].end 5.02596875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 5.02596875
transcript.pyannote[3].end 5.32971875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 10.74659375
transcript.pyannote[4].end 26.06909375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 26.65971875
transcript.pyannote[5].end 35.45159375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 36.39659375
transcript.pyannote[6].end 51.39846875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 38.25284375
transcript.pyannote[7].end 38.33721875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 51.98909375
transcript.pyannote[8].end 53.55846875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 53.91284375
transcript.pyannote[9].end 54.68909375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 54.72284375
transcript.pyannote[10].end 62.97471875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 59.49846875
transcript.pyannote[11].end 61.11846875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 62.97471875
transcript.pyannote[12].end 78.02721875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 78.38159375
transcript.pyannote[13].end 88.77659375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 89.06346875
transcript.pyannote[14].end 89.60346875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 89.87346875
transcript.pyannote[15].end 90.51471875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 91.18971875
transcript.pyannote[16].end 93.38346875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 94.07534375
transcript.pyannote[17].end 99.49221875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 98.64846875
transcript.pyannote[18].end 100.47096875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 100.47096875
transcript.pyannote[19].end 101.97284375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 101.97284375
transcript.pyannote[20].end 106.02284375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 102.24284375
transcript.pyannote[21].end 102.44534375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 102.78284375
transcript.pyannote[22].end 103.71096875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 106.02284375
transcript.pyannote[23].end 106.96784375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 106.96784375
transcript.pyannote[24].end 107.03534375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 107.03534375
transcript.pyannote[25].end 108.16596875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 108.16596875
transcript.pyannote[26].end 108.18284375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 108.18284375
transcript.pyannote[27].end 121.05846875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 119.40471875
transcript.pyannote[28].end 130.54221875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 131.01471875
transcript.pyannote[29].end 134.22096875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 134.79471875
transcript.pyannote[30].end 143.50221875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 143.50221875
transcript.pyannote[31].end 143.78909375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 143.78909375
transcript.pyannote[32].end 146.94471875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 146.48909375
transcript.pyannote[33].end 150.21846875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 149.89784375
transcript.pyannote[34].end 150.87659375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 151.09596875
transcript.pyannote[35].end 153.96471875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 152.20971875
transcript.pyannote[36].end 158.74034375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 158.74034375
transcript.pyannote[37].end 163.70159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 159.63471875
transcript.pyannote[38].end 161.82846875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 163.70159375
transcript.pyannote[39].end 177.87659375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 176.98221875
transcript.pyannote[40].end 178.70346875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 178.87221875
transcript.pyannote[41].end 181.55534375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 180.74534375
transcript.pyannote[42].end 185.31846875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 182.60159375
transcript.pyannote[43].end 191.96721875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 187.68096875
transcript.pyannote[44].end 188.37284375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 189.11534375
transcript.pyannote[45].end 189.31784375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 192.47346875
transcript.pyannote[46].end 194.71784375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 194.98784375
transcript.pyannote[47].end 199.96596875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 199.96596875
transcript.pyannote[48].end 205.72034375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 205.93971875
transcript.pyannote[49].end 209.44971875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 207.35721875
transcript.pyannote[50].end 210.47909375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 210.58034375
transcript.pyannote[51].end 236.65221875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 236.83784375
transcript.pyannote[52].end 237.81659375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 237.81659375
transcript.pyannote[53].end 237.85034375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 237.85034375
transcript.pyannote[54].end 237.88409375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 237.88409375
transcript.pyannote[55].end 238.03596875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 238.03596875
transcript.pyannote[56].end 245.96721875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 245.03909375
transcript.pyannote[57].end 251.38409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 246.10221875
transcript.pyannote[58].end 246.13596875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 251.38409375
transcript.pyannote[59].end 251.45159375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 251.45159375
transcript.pyannote[60].end 255.18096875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 254.96159375
transcript.pyannote[61].end 257.47596875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 256.68284375
transcript.pyannote[62].end 259.38284375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 259.38284375
transcript.pyannote[63].end 259.87221875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 259.87221875
transcript.pyannote[64].end 269.20409375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 259.95659375
transcript.pyannote[65].end 260.39534375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 270.28409375
transcript.pyannote[66].end 271.02659375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 271.02659375
transcript.pyannote[67].end 282.97409375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 276.98346875
transcript.pyannote[68].end 278.14784375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 283.66596875
transcript.pyannote[69].end 285.97784375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 285.97784375
transcript.pyannote[70].end 286.02846875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 286.02846875
transcript.pyannote[71].end 286.97346875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 286.97346875
transcript.pyannote[72].end 287.02409375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 287.02409375
transcript.pyannote[73].end 287.96909375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 287.96909375
transcript.pyannote[74].end 288.07034375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 288.07034375
transcript.pyannote[75].end 293.26784375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 288.20534375
transcript.pyannote[76].end 289.38659375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 291.31034375
transcript.pyannote[77].end 292.44096875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 293.26784375
transcript.pyannote[78].end 299.08971875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 293.33534375
transcript.pyannote[79].end 295.84971875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 299.73096875
transcript.pyannote[80].end 301.08096875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 300.23721875
transcript.pyannote[81].end 302.49846875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 302.07659375
transcript.pyannote[82].end 311.76284375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 307.91534375
transcript.pyannote[83].end 309.16409375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 312.33659375
transcript.pyannote[84].end 313.28159375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 314.02409375
transcript.pyannote[85].end 314.49659375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 314.49659375
transcript.pyannote[86].end 314.51346875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 314.51346875
transcript.pyannote[87].end 314.61471875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 314.74971875
transcript.pyannote[88].end 315.03659375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 315.03659375
transcript.pyannote[89].end 322.78221875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 322.78221875
transcript.pyannote[90].end 333.10971875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 333.80159375
transcript.pyannote[91].end 338.44221875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 338.86409375
transcript.pyannote[92].end 341.93534375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 343.75784375
transcript.pyannote[93].end 344.73659375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 344.80409375
transcript.pyannote[94].end 346.32284375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 346.91346875
transcript.pyannote[95].end 366.65721875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 360.41346875
transcript.pyannote[96].end 360.80159375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 367.68659375
transcript.pyannote[97].end 368.12534375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 368.95221875
transcript.pyannote[98].end 373.87971875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 374.03159375
transcript.pyannote[99].end 381.18659375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 376.05659375
transcript.pyannote[100].end 378.75659375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 380.29221875
transcript.pyannote[101].end 381.25409375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 381.42284375
transcript.pyannote[102].end 387.70034375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 381.60846875
transcript.pyannote[103].end 383.24534375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 384.69659375
transcript.pyannote[104].end 386.46846875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 388.64534375
transcript.pyannote[105].end 388.79721875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 388.79721875
transcript.pyannote[106].end 389.67471875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 388.88159375
transcript.pyannote[107].end 412.86096875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 391.34534375
transcript.pyannote[108].end 391.36221875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 392.22284375
transcript.pyannote[109].end 393.89346875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 398.98971875
transcript.pyannote[110].end 402.55034375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 413.23221875
transcript.pyannote[111].end 415.37534375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 416.86034375
transcript.pyannote[112].end 417.19784375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 417.88971875
transcript.pyannote[113].end 426.47909375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 418.76721875
transcript.pyannote[114].end 422.15909375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 426.52971875
transcript.pyannote[115].end 431.47409375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 432.36846875
transcript.pyannote[116].end 434.07284375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 434.32596875
transcript.pyannote[117].end 435.76034375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 436.24971875
transcript.pyannote[118].end 452.07846875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 452.55096875
transcript.pyannote[119].end 453.09096875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 453.95159375
transcript.pyannote[120].end 454.50846875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 455.53784375
transcript.pyannote[121].end 462.86159375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 463.26659375
transcript.pyannote[122].end 464.31284375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 465.30846875
transcript.pyannote[123].end 465.71346875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 466.55721875
transcript.pyannote[124].end 467.26596875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 467.85659375
transcript.pyannote[125].end 468.64971875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 469.29096875
transcript.pyannote[126].end 479.02784375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 479.02784375
transcript.pyannote[127].end 479.93909375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 479.93909375
transcript.pyannote[128].end 479.97284375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 479.97284375
transcript.pyannote[129].end 480.05721875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 480.42846875
transcript.pyannote[130].end 480.46221875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 480.46221875
transcript.pyannote[131].end 486.70596875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 485.37284375
transcript.pyannote[132].end 487.22909375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 487.38096875
transcript.pyannote[133].end 488.79846875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 488.79846875
transcript.pyannote[134].end 489.25409375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 489.25409375
transcript.pyannote[135].end 495.59909375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 495.16034375
transcript.pyannote[136].end 495.32909375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 495.59909375
transcript.pyannote[137].end 517.89096875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 517.38471875
transcript.pyannote[138].end 527.25659375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 526.05846875
transcript.pyannote[139].end 527.17221875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 527.64471875
transcript.pyannote[140].end 529.97346875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 529.97346875
transcript.pyannote[141].end 536.85846875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 537.29721875
transcript.pyannote[142].end 554.05409375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 553.00784375
transcript.pyannote[143].end 556.82159375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 555.75846875
transcript.pyannote[144].end 558.10409375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 558.40784375
transcript.pyannote[145].end 581.49284375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 560.66909375
transcript.pyannote[146].end 561.09096875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 565.47846875
transcript.pyannote[147].end 565.73159375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 582.28596875
transcript.pyannote[148].end 601.47284375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 601.47284375
transcript.pyannote[149].end 601.50659375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 601.50659375
transcript.pyannote[150].end 601.59096875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 602.01284375
transcript.pyannote[151].end 606.07971875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 605.23596875
transcript.pyannote[152].end 606.94034375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 606.95721875
transcript.pyannote[153].end 619.02284375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 619.30971875
transcript.pyannote[154].end 623.57909375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 624.40596875
transcript.pyannote[155].end 626.02596875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 626.63346875
transcript.pyannote[156].end 627.22409375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 627.71346875
transcript.pyannote[157].end 631.47659375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 631.07159375
transcript.pyannote[158].end 643.20471875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 643.62659375
transcript.pyannote[159].end 649.58346875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 649.70159375
transcript.pyannote[160].end 650.47784375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 650.81534375
transcript.pyannote[161].end 652.08096875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 652.43534375
transcript.pyannote[162].end 654.94971875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 655.23659375
transcript.pyannote[163].end 656.73846875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 657.46409375
transcript.pyannote[164].end 695.61846875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 658.88159375
transcript.pyannote[165].end 659.77596875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 662.79659375
transcript.pyannote[166].end 663.16784375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 693.99846875
transcript.pyannote[167].end 710.19846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 696.81659375
transcript.pyannote[168].end 700.83284375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 709.48971875
transcript.pyannote[169].end 734.85284375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 715.96971875
transcript.pyannote[170].end 717.28596875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 718.24784375
transcript.pyannote[171].end 718.75409375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 735.10596875
transcript.pyannote[172].end 739.20659375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 739.34159375
transcript.pyannote[173].end 740.60721875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 740.91096875
transcript.pyannote[174].end 746.14221875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 744.96096875
transcript.pyannote[175].end 753.02721875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 748.01534375
transcript.pyannote[176].end 748.55534375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 751.03596875
transcript.pyannote[177].end 752.26784375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 753.02721875
transcript.pyannote[178].end 767.48909375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 753.28034375
transcript.pyannote[179].end 754.03971875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 766.62846875
transcript.pyannote[180].end 767.23596875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 767.48909375
transcript.pyannote[181].end 767.50596875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 767.50596875
transcript.pyannote[182].end 768.26534375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 767.72534375
transcript.pyannote[183].end 768.77159375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 768.77159375
transcript.pyannote[184].end 768.88971875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 768.88971875
transcript.pyannote[185].end 781.12409375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 781.69784375
transcript.pyannote[186].end 782.15346875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 782.15346875
transcript.pyannote[187].end 782.79471875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 782.20409375
transcript.pyannote[188].end 786.15284375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 783.13221875
transcript.pyannote[189].end 789.47721875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 787.43534375
transcript.pyannote[190].end 790.96221875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 791.19846875
transcript.pyannote[191].end 801.86346875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 796.71659375
transcript.pyannote[192].end 797.52659375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 802.55534375
transcript.pyannote[193].end 803.01096875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 803.80409375
transcript.pyannote[194].end 807.07784375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 807.33096875
transcript.pyannote[195].end 811.85346875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 812.62971875
transcript.pyannote[196].end 813.84471875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 814.67159375
transcript.pyannote[197].end 831.51284375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 831.81659375
transcript.pyannote[198].end 850.22721875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 849.53534375
transcript.pyannote[199].end 850.78409375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 850.78409375
transcript.pyannote[200].end 857.58471875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 853.02846875
transcript.pyannote[201].end 853.14659375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 857.58471875
transcript.pyannote[202].end 859.42409375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 857.60159375
transcript.pyannote[203].end 857.97284375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 859.72784375
transcript.pyannote[204].end 871.33784375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 869.02596875
transcript.pyannote[205].end 869.65034375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 870.02159375
transcript.pyannote[206].end 885.04034375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 874.24034375
transcript.pyannote[207].end 874.42596875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 879.30284375
transcript.pyannote[208].end 879.87659375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 882.55971875
transcript.pyannote[209].end 889.19159375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 885.52971875
transcript.pyannote[210].end 888.39846875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 889.30971875
transcript.pyannote[211].end 897.59534375
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 889.39409375
transcript.pyannote[212].end 890.20409375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 892.12784375
transcript.pyannote[213].end 892.16159375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 892.16159375
transcript.pyannote[214].end 892.56659375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 892.56659375
transcript.pyannote[215].end 892.61721875
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 892.61721875
transcript.pyannote[216].end 892.63409375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 893.54534375
transcript.pyannote[217].end 893.57909375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 893.57909375
transcript.pyannote[218].end 899.38409375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 898.67534375
transcript.pyannote[219].end 902.87721875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 899.38409375
transcript.pyannote[220].end 899.40096875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 902.01659375
transcript.pyannote[221].end 902.86034375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 902.87721875
transcript.pyannote[222].end 920.81534375
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 912.69846875
transcript.pyannote[223].end 912.98534375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 913.03596875
transcript.pyannote[224].end 913.10346875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 914.72346875
transcript.pyannote[225].end 915.63471875
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 917.25471875
transcript.pyannote[226].end 917.44034375
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 917.87909375
transcript.pyannote[227].end 933.01596875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 921.49034375
transcript.pyannote[228].end 921.72659375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 923.48159375
transcript.pyannote[229].end 923.51534375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 924.29159375
transcript.pyannote[230].end 930.06284375
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 930.06284375
transcript.pyannote[231].end 930.14721875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 931.07534375
transcript.pyannote[232].end 931.96971875
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 931.96971875
transcript.pyannote[233].end 932.59409375
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 934.16346875
transcript.pyannote[234].end 934.60221875
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 934.60221875
transcript.pyannote[235].end 935.96909375
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 934.61909375
transcript.pyannote[236].end 935.26034375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 935.26034375
transcript.pyannote[237].end 935.42909375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 935.96909375
transcript.pyannote[238].end 936.03659375
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 936.03659375
transcript.pyannote[239].end 936.96471875
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 936.34034375
transcript.pyannote[240].end 979.81034375
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 936.96471875
transcript.pyannote[241].end 937.03221875
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 937.03221875
transcript.pyannote[242].end 937.21784375
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 937.21784375
transcript.pyannote[243].end 937.30221875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 937.30221875
transcript.pyannote[244].end 937.31909375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 937.31909375
transcript.pyannote[245].end 937.40346875
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 958.36221875
transcript.pyannote[246].end 960.03284375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 960.03284375
transcript.pyannote[247].end 961.39971875
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 963.94784375
transcript.pyannote[248].end 964.20096875
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 964.48784375
transcript.pyannote[249].end 964.74096875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 980.43471875
transcript.pyannote[250].end 982.81409375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 980.78909375
transcript.pyannote[251].end 982.74659375
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 983.32034375
transcript.pyannote[252].end 996.95534375
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 997.47846875
transcript.pyannote[253].end 1016.34471875
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 1015.31534375
transcript.pyannote[254].end 1018.94346875
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 1019.07846875
transcript.pyannote[255].end 1024.07346875
transcript.whisperx[0].start 2.096
transcript.whisperx[0].end 25.703
transcript.whisperx[0].text 主席謝謝麻煩請我們陳主委好來陳主委委員長主委好 主委本席剛剛您聽您的這個書面報告那本席也一直強調就是說我們一起努力為台灣的公共工程品質來把關更重要是我們要好好的督促我們的公共工程嘛這你同意嗎
transcript.whisperx[1].start 27.495
transcript.whisperx[1].end 51.12
transcript.whisperx[1].text 那所以說 公共工程重點在於是用專業數據來說話不要有任何模糊的數字你也同意嗎好 來 麥克風可以打開 沒錯那本席有看到因為昨天有這個公共工程產業在媒體刊登半版的聯合聲明要求說儘速解凍工程會的預算那本席想要知道
transcript.whisperx[2].start 52.04
transcript.whisperx[2].end 77.776
transcript.whisperx[2].text 主委事先知情嗎是一個廣告我們跟工程產業工會互動密切所以你事先知道我們事先知道有溝通過嗎有說明過嗎因為它裡面的重點是說儘速解凍工程會的預算不能沒有金質獎本席先強調我的核心立場我也認為金質獎很重要一定要辦非辦不可
transcript.whisperx[3].start 78.476
transcript.whisperx[3].end 93.126
transcript.whisperx[3].text COVID-19的時候我們都沒有延誤辦理金職獎了金職獎是國家重大建設發展當然要辦但儘速解凍工程會預算主委請教你解凍案送來立法院了嗎
transcript.whisperx[4].start 94.13
transcript.whisperx[4].end 108.84
transcript.whisperx[4].text 解動換我們要執行預算30%以後才能送那目前執行到什麼程度了目前還沒有到30%所以你還沒有執行到30%你也沒有辦法送進來那沒有辦法送進來我們要怎麼解我們是
transcript.whisperx[5].start 109.44
transcript.whisperx[5].end 133.84
transcript.whisperx[5].text 我們判斷這種解凍方式因為我們是凍結50%的業務費嘛然後必須院會解凍同意時的凍資這個是遙遙無期但是你要先送進來委員會其實沒有遙遙無期啊 主委本席剛剛開宗明義就強調不要似是而非講清楚來 我先請教去年度公共工程委員會總預算有多少錢
transcript.whisperx[6].start 135.141
transcript.whisperx[6].end 150.698
transcript.whisperx[6].text 將近四億五千萬左右四億九千萬你少了四千萬今年我們核定的預算總共有多少錢它五億五左右五億五多增加了多少費用五千萬是包括人事費還有多增加了多少費用
transcript.whisperx[7].start 151.158
transcript.whisperx[7].end 178.462
transcript.whisperx[7].text 五千萬多增加了公共工程委員會今年核定的預算比去年多增加了五千萬整體經濟增加嘛這是主委剛剛所說明多五千萬這是必然的必然的這也是經過委員會審議經過立法院我們同意所以說立法部門行政部門我們共同認為說台灣經濟發展所以我們有增加工程會五千萬的預算立法部門並未同意
transcript.whisperx[8].start 178.962
transcript.whisperx[8].end 204.092
transcript.whisperx[8].text 有啊如果說沒有同意的話怎麼會最後通過我現在解凍50%就凍了1億左右主委你這樣子就似是而非了如果說沒有同意的話怎麼會到最後通過預算還沒有同意使用預算是不是立法部門到最後通過的通過裡面凍結1億啊凍結50%啊凍三減了1000多萬啊但是你現在你現在執行的數目是怎麼樣你現在執行都還沒有到超過30%啊所以其實主委
transcript.whisperx[9].start 206.433
transcript.whisperx[9].end 225.322
transcript.whisperx[9].text 不用似是而非我們就事論事本席從過去到現在就一直強調其實公共工程非常重要而今年的預算比去年已經多成長了五千萬還有更重要的是到目前為止工程會還沒有送進解凍案我們怎麼樣來討論
transcript.whisperx[10].start 226.542
transcript.whisperx[10].end 251.231
transcript.whisperx[10].text 我想交通委員會的委員一定會本職專業如果說你真的送進來說明清楚的話該解凍我們一定會解凍但重點是你什麼時候要送解凍案進來報告委員是什麼時候可以送解凍案大院的主決議是院會同意時的動之並不是交通委員會來審理委員會審查完畢之後送院會院會也會尊重委員會的意見嗎這個從來未有過的
transcript.whisperx[11].start 252.571
transcript.whisperx[11].end 268.953
transcript.whisperx[11].text 但是重點在於是你什麼時候要送進來這個立法院從來沒有做這樣的主委什麼時候要送進來我們你什麼時候認為送進來還是現在民進黨要搞下鄉要搞這些宣傳所以說就是明明應該是行政部門要送進來的你現在就不送
transcript.whisperx[12].start 270.396
transcript.whisperx[12].end 298.823
transcript.whisperx[12].text 什麼時候能夠送進來我們會依大院的規定送進來什麼時候可以送進來我們依大院的規定如果說你沒有送我們怎麼解你沒有同意動資預算我們怎麼辦金職獎你現在要解凍然後你現在又跟我講說我們要同意但你又不送解凍案我們要怎麼同意金職獎現在是要接受報名的我們要怎麼同意很多工作都在進行實際上還在進行本來延續性的計畫預算法裡面就規定很清楚主委
transcript.whisperx[13].start 299.758
transcript.whisperx[13].end 312.708
transcript.whisperx[13].text 不要是是而非啊預算法本來就規定的非常清楚延續性的計畫本來就可以來做一個使用但重點是你們什麼時候要把解凍案的方案送進來
transcript.whisperx[14].start 314.076
transcript.whisperx[14].end 341.739
transcript.whisperx[14].text 主委告訴國人你們什麼時候要送我們才能夠討論如果委員給我們一個明確的答案什麼時候能夠同意我們使用我們就決定辦或不辦主委這個就是你似是而非你連送進來的說明都沒有然後你就跟我們講說要立法部門開空白支票同意根本荒謬啊我們為什麼相關的計畫預算有些會凍結我想之前很多委員不管藍綠啊我們現在召委
transcript.whisperx[15].start 343.803
transcript.whisperx[15].end 364.341
transcript.whisperx[15].text 李昆哲委員他也有凍結過預算啊但是他會要求行政部門提出相關的說明之後可以解凍我們就解凍但重點是你現在連說明都沒有說明出來你就跟我們講是說一定要立法院先同意我才要送根本荒謬根本凌駕立法委員的質詢權凌駕立法委員的審查權主委
transcript.whisperx[16].start 369.008
transcript.whisperx[16].end 382.98
transcript.whisperx[16].text 法定國家行政機關有可以那麼的傲慢嗎所以主委能不能說明清楚你們什麼時候要送相關的計畫有沒有辦法說明清楚有沒有辦法說明清楚
transcript.whisperx[17].start 388.72
transcript.whisperx[17].end 415.095
transcript.whisperx[17].text 主委你不能反指許但重點是委員會會有本來就有合理的解凍的程序你不用在那邊事事而非無焦點現在就是國人大家看得清清楚楚工程委員會的主委沒有辦法向國人說明清楚你什麼時候要送解凍案你如果說沒有送解凍案的話我們何來可以審查這就是工程會主委的態度
transcript.whisperx[18].start 417.949
transcript.whisperx[18].end 430.834
transcript.whisperx[18].text 我們依法會受解凍本席非常的遺憾我覺得說到目前為止你還是沒有辦法針對問題回答問題沒有辦法向國人說明清楚你們到底要怎麼做能夠送入這個說明
transcript.whisperx[19].start 432.446
transcript.whisperx[19].end 454.009
transcript.whisperx[19].text 行政官員每一位其實下面都在偷笑因為看到聽到主委那麼的沒有這個行政的一個邏輯跟觀念你連最基本的要送入立法院來申請解凍都沒有辦法都沒有辦法承諾的時候然後你現在一直在鬼打牆講說你們什麼時候要同意你們先同意我們再送荒謬荒謬
transcript.whisperx[20].start 455.875
transcript.whisperx[20].end 479.444
transcript.whisperx[20].text 這就像是跟老師講說老師你先給我歐帕歐帕了我才要考試你承諾歐帕我才要考試莫名其妙主委我再請教去年你有說要現實的政府採購法規定公開招標要三家以上的合格廠商才能夠開標但是現在想要修法刪除三家的廠商門檻
transcript.whisperx[21].start 481.175
transcript.whisperx[21].end 506.666
transcript.whisperx[21].text 這個是我們收集各界的意見準備4月辦理預告預告所以4月會出爐4月會辦理預告那預告之後呢預告之後送行政院會審查審查通過報大院來整理那有沒有討論因為過去其實大家有在講說過猶不及有一些部分是說如果說有三家的這個門檻當然可能會造成說公開招標的一個進度上的拖延
transcript.whisperx[22].start 506.946
transcript.whisperx[22].end 526.771
transcript.whisperx[22].text 但另外一個部分如果說解除了這樣的一個門檻未來只要一家就能夠開標會不會有產生其他的弊端有沒有想過如何來做相關的配搭這個各界意見反映很多所以我們中理之後會來預告再聽取各界意見到時候大院審理的時候可以來所以有防弊機制
transcript.whisperx[23].start 527.671
transcript.whisperx[23].end 536.621
transcript.whisperx[23].text 不是 這個我們會再聽取各界意見當中是 你聽取各界意見 但你們不是要先預告嗎4月要預告的部分 你們的房地機制有沒有預想在裡面
transcript.whisperx[24].start 537.741
transcript.whisperx[24].end 557.856
transcript.whisperx[24].text 現在的採購方式跟過去不是電子化的時代差很多啦所以資訊完全公開透明所以我們聽取各界意見之後認為如果維持三家才能夠開標的話往往是造成流標的主要原因所以未來會只要一標一家投標就可以公開招標這是我們準備預告的草案內容
transcript.whisperx[25].start 558.456
transcript.whisperx[25].end 581.269
transcript.whisperx[25].text 好 那防備機制在裡面有沒有設計相關防備機制在草案裡面會有好 草案裡面會有本席等著看我們四月的公告那本席也會討論因為這還是一樣重點在於是提升政府行政效能裡面我們要思考到防備的機制所以說剛剛主委既然已經提到說有所謂防備機制我們期待工程會提出來的版本最後
transcript.whisperx[26].start 582.315
transcript.whisperx[26].end 599.618
transcript.whisperx[26].text 我再確認一下因為本席非常關心氣候變遷因應法所謂2050淨零碳排那其中工程會非常重要的一個部分就是有所謂的減碳作業指引那主委也講說減碳作業參考指引會預計在今年出爐請教什麼時候會出爐
transcript.whisperx[27].start 601.019
transcript.whisperx[27].end 623.169
transcript.whisperx[27].text 114年年底今年年底到目前目前都已經有在做執行了持續在收集資料當中好 持續在收集資料當中所以這個指引本席也要提出因為過去工程會在2022年就已經有發布公共工程節能減碳減核注意事項要求我們各機關訂定節能減碳的減核機制跟目標
transcript.whisperx[28].start 624.589
transcript.whisperx[28].end 646.567
transcript.whisperx[28].text 請教2022年到現在提出來哪些部門有達標哪些部門還有改進的空間這個不是標準我們持續在進進當中將來會改成我們收集相關的這個排蛋係數那麼建立一個完整的計算碳的一個這個系統然後提供給各機關在設計的時候參考
transcript.whisperx[29].start 648.448
transcript.whisperx[29].end 656.293
transcript.whisperx[29].text 過去要機關來填寫這個碳排的接落部分這個政策我們在逐步在調整當中
transcript.whisperx[30].start 657.534
transcript.whisperx[30].end 685.813
transcript.whisperx[30].text 好 那但是本席我們會改成收集係數你還是沒有回答本席的問題啊 主委本席問的是說2022年我們工程會議既然我是可以肯定的喔不管是那個時候你還不是主委那時候是吳主委嘛吳主委在的時候本席也跟他就教過因為淨零碳排本席非常重視尤其是零碳建築所以當時有提出來這個注意事項的時候我們也認為說不要一步馬上要求各部門到位但至少我們了解一下各部門在
transcript.whisperx[31].start 687.333
transcript.whisperx[31].end 712.188
transcript.whisperx[31].text 從2022年開始到現在2025年過去兩年的時間裡面哪一些部門比較做得好哪些部門還有加強空間我們有沒有去做了解不能用這個標準這工程會提出來的然後你跟我講說不能用這個標準減核注意事項是一個定性提醒機關說你辦理公共工程設計的時候要注意到減碳的相關作為哪些部門有做到哪些部門沒做到
transcript.whisperx[32].start 713.048
transcript.whisperx[32].end 740.128
transcript.whisperx[32].text 有沒有去了解因為不是強制性的因為不是強制性嘛是嘛所以主委你講出大白話了嘛第一2022年那時候提出來是工程會自己提出來的那沒有強制性也因此我們就不了解說到底哪個部門真的有比較符合這個標準哪些部門沒有因為工程會也沒有去做管考考核那現在你要再做一個檢探作業參考指引會不會有一個標準
transcript.whisperx[33].start 741.228
transcript.whisperx[33].end 767.527
transcript.whisperx[33].text 減碳的部分各機關他有自己會不會有一個標準會不會又變成沒有強制性你今年年底出來的會不會又是另外一個利益很良善但是沒有強制性的標準工程會的目的是要建立一個比較完整的這個減碳的所有工程的排放係數那這個排放係數是包括工程單項它每個單項排碳多少給各機關去參考
transcript.whisperx[34].start 769.008
transcript.whisperx[34].end 780.006
transcript.whisperx[34].text 您把工程會看小了 做小了工程會絕對不是只是提出一個標準跟各機關參考是國家重大工程的主管機關
transcript.whisperx[35].start 782.235
transcript.whisperx[35].end 802.786
transcript.whisperx[35].text 主委本席提出來是對於我們工程會有非常高的期待我們也希望減碳的主管機關重點在於是你是國家重大工程的主管機關能不能用國家重大工程來符合減碳的標準這才是重點主委
transcript.whisperx[36].start 803.834
transcript.whisperx[36].end 831.013
transcript.whisperx[36].text 本席是在野黨的委員但我絕對不是說跟你站在對立面我們一起督促是要讓國家的重大工程更好請聽本席一句話本席過去就強調如果我們現在要2050淨零碳排往前回推現在只剩25年其中零碳建築是一個很重要的參考指標我之前就提過能不能說從現在開始要求至少公部門先行
transcript.whisperx[37].start 832.274
transcript.whisperx[37].end 858.834
transcript.whisperx[37].text 國家的工部門的建設從現在開始就用零碳的建築標準來去做帶領私部門如果說我們連自己工部門編列預算的建築都沒有辦法達到零碳建築我們怎麼有辦法期待私部門私人的企業私人的建築來做零碳建築所以這一些部分才是我們希望工程會能夠跳出來當領頭羊的部分我可以說明嗎每一個工程有他的目標
transcript.whisperx[38].start 859.815
transcript.whisperx[38].end 887.863
transcript.whisperx[38].text 包括結構安全包括方便性等等減碳是其中之一所以各部門的設計是一個最適設計達到一個最好的目標減碳跟安全跟什麼是不衝突的不會因為減碳所以說犧牲安全不會因為減碳而犧牲相關的一個目標如果主委你還停留在過去20年前這種思維的話那我真的很擔憂我真的非常非常的擔憂結構不同
transcript.whisperx[39].start 889.463
transcript.whisperx[39].end 911.917
transcript.whisperx[39].text 所以你要選擇鋼構有選擇鋼構的理由那我跟委員報告選擇鋼構你也可以用零碳建築的方向任何事情都會有排碳沒有零碳建築可以用各種的政策目標手段2014年英國就已經宣布他們接下來2014年之後的國家重大公共工程都是用零碳建築
transcript.whisperx[40].start 912.777
transcript.whisperx[40].end 932.797
transcript.whisperx[40].text 別的國家做得到你現在2025年10多年之後你跟我們講說沒辦法要不要請教一下環境部我們現在在呼吸就在排碳了所以不會有零碳建築這件事情主委這樣子你完全忽略跟羅浮根不了解零碳建築的定義沒有零碳這件事情我們呼吸都在排碳
transcript.whisperx[41].start 934.675
transcript.whisperx[41].end 960.175
transcript.whisperx[41].text 主委怎麼會有零碳建築這件事情沒關係這個是公共工程委員會的主委所定立的方向請各位媒體朋友記得主委這一句話如果說連我們國家重大公共工程的主管機關都跟世界趨勢背道而馳的話那這就是民進黨政府的態度這就是現在環境部要定出來如果說連公共工程委員會都講說這個是沒有這件事情的話那代表國家從頭到尾都在騙人
transcript.whisperx[42].start 962.917
transcript.whisperx[42].end 979.336
transcript.whisperx[42].text 國家要這樣騙人嗎你要用這樣子的一個話術主委本席很務實的很專業的很理性的要來跟你做討論但是你用這樣的一個方向其實凸顯的就是你對於本身的公共工程掌握的真的不夠透徹
transcript.whisperx[43].start 980.836
transcript.whisperx[43].end 995.456
transcript.whisperx[43].text 我非常遺憾 謝謝跟大會報告一下我是代理召委那我們也尊重這個相關的議事的程序每位委員是6加2分鐘
transcript.whisperx[44].start 997.631
transcript.whisperx[44].end 1022.596
transcript.whisperx[44].text 其實另外加時的時間其實已經超過6分鐘其實已經再加8分鐘了那我們都開飯店不怕人家吃飯了但他終究是有營業時間超過營業時間我們很難再招待下去主委未來備刑官員好好針對問題回答問題我都雙方都尊重我雙方都尊重謝謝