iVOD / 164076

Field Value
IVOD_ID 164076
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164076
日期 2025-10-14
會議資料.會議代碼 院會-11-4-4
會議資料.會議代碼:str 第11屆第4會期第4次會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 4
會議資料.種類 院會
會議資料.標題 第11屆第4會期第4次會議
影片種類 Clip
開始時間 2025-10-14T11:05:39+08:00
結束時間 2025-10-14T11:21:29+08:00
影片長度 00:15:50
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/41bbccea3aa4171246e25e924abb296fbe26ac7b86047e26f8ae775ba66314c53dc5b1e4eb39a2a65ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王定宇
委員發言時間 11:05:39 - 11:21:29
會議時間 2025-10-14T09:00:00+08:00
會議名稱 第11屆第4會期第4次會議(事由:一、對行政院院長施政報告繼續質詢。二、上午9時至10時為國是論壇時間。三、下午2時15分至2時30分為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_05
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.02659375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 23.31846875
transcript.pyannote[1].end 26.81159375
transcript.pyannote[2].speaker SPEAKER_05
transcript.pyannote[2].start 27.23346875
transcript.pyannote[2].end 28.63409375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 27.73971875
transcript.pyannote[3].end 28.44846875
transcript.pyannote[4].speaker SPEAKER_05
transcript.pyannote[4].start 29.15721875
transcript.pyannote[4].end 29.57909375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 38.62409375
transcript.pyannote[5].end 40.78409375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 40.81784375
transcript.pyannote[6].end 46.63971875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 47.11221875
transcript.pyannote[7].end 48.14159375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 48.22596875
transcript.pyannote[8].end 51.09471875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 51.49971875
transcript.pyannote[9].end 53.81159375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 54.08159375
transcript.pyannote[10].end 59.32971875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 59.63346875
transcript.pyannote[11].end 60.12284375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 60.27471875
transcript.pyannote[12].end 63.93659375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 64.10534375
transcript.pyannote[13].end 94.12596875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 94.53096875
transcript.pyannote[14].end 97.95659375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 98.41221875
transcript.pyannote[15].end 112.43534375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 113.11034375
transcript.pyannote[16].end 114.19034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 114.52784375
transcript.pyannote[17].end 143.26596875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 143.65409375
transcript.pyannote[18].end 159.16221875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 158.04846875
transcript.pyannote[19].end 158.06534375
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 158.06534375
transcript.pyannote[20].end 158.25096875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 158.25096875
transcript.pyannote[21].end 158.33534375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 158.33534375
transcript.pyannote[22].end 158.48721875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 159.80346875
transcript.pyannote[23].end 163.34721875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 164.96721875
transcript.pyannote[24].end 166.57034375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 165.03471875
transcript.pyannote[25].end 166.77284375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 167.12721875
transcript.pyannote[26].end 181.20096875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 170.92409375
transcript.pyannote[27].end 172.18971875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 180.59346875
transcript.pyannote[28].end 186.78659375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 187.10721875
transcript.pyannote[29].end 187.12409375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 187.12409375
transcript.pyannote[30].end 194.26221875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 187.14096875
transcript.pyannote[31].end 188.28846875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 194.58284375
transcript.pyannote[32].end 195.57846875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 194.61659375
transcript.pyannote[33].end 195.42659375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 195.47721875
transcript.pyannote[34].end 198.12659375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 198.63284375
transcript.pyannote[35].end 199.96596875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 199.96596875
transcript.pyannote[36].end 235.90971875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 202.69971875
transcript.pyannote[37].end 202.73346875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 202.76721875
transcript.pyannote[38].end 203.47596875
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 236.14596875
transcript.pyannote[39].end 246.89534375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 241.17471875
transcript.pyannote[40].end 241.98471875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 246.40596875
transcript.pyannote[41].end 248.75159375
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 248.75159375
transcript.pyannote[42].end 249.10596875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 249.15659375
transcript.pyannote[43].end 252.63284375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 252.97034375
transcript.pyannote[44].end 256.02471875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 256.32846875
transcript.pyannote[45].end 265.03596875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 265.57596875
transcript.pyannote[46].end 266.53784375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 267.12846875
transcript.pyannote[47].end 277.03409375
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 277.05096875
transcript.pyannote[48].end 289.15034375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 283.73346875
transcript.pyannote[49].end 285.01596875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 289.25159375
transcript.pyannote[50].end 293.41971875
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 293.40284375
transcript.pyannote[51].end 294.29721875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 294.11159375
transcript.pyannote[52].end 301.77284375
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 301.77284375
transcript.pyannote[53].end 315.99846875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 314.44596875
transcript.pyannote[54].end 321.73596875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 316.52159375
transcript.pyannote[55].end 317.51721875
transcript.pyannote[56].speaker SPEAKER_04
transcript.pyannote[56].start 320.50409375
transcript.pyannote[56].end 322.79909375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 322.44471875
transcript.pyannote[57].end 327.06846875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 327.30471875
transcript.pyannote[58].end 330.03846875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 330.17346875
transcript.pyannote[59].end 355.43534375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 355.89096875
transcript.pyannote[60].end 360.05909375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 360.86909375
transcript.pyannote[61].end 362.97846875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 363.31596875
transcript.pyannote[62].end 364.64909375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 364.75034375
transcript.pyannote[63].end 375.71909375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 376.09034375
transcript.pyannote[64].end 389.03346875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 389.28659375
transcript.pyannote[65].end 390.90659375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 391.04159375
transcript.pyannote[66].end 395.93534375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 396.40784375
transcript.pyannote[67].end 410.85284375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 411.25784375
transcript.pyannote[68].end 436.94159375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 437.32971875
transcript.pyannote[69].end 442.89846875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 443.45534375
transcript.pyannote[70].end 445.64909375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 446.22284375
transcript.pyannote[71].end 455.28471875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 455.47034375
transcript.pyannote[72].end 459.40221875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 459.73971875
transcript.pyannote[73].end 463.38471875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 463.51971875
transcript.pyannote[74].end 465.19034375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 465.69659375
transcript.pyannote[75].end 468.58221875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 469.03784375
transcript.pyannote[76].end 476.26034375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 476.61471875
transcript.pyannote[77].end 487.58346875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 488.08971875
transcript.pyannote[78].end 526.46346875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 526.91909375
transcript.pyannote[79].end 534.24284375
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 534.69846875
transcript.pyannote[80].end 535.47471875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 535.62659375
transcript.pyannote[81].end 549.90284375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 549.44721875
transcript.pyannote[82].end 552.02909375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 552.68721875
transcript.pyannote[83].end 554.20596875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 554.64471875
transcript.pyannote[84].end 556.45034375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 557.24346875
transcript.pyannote[85].end 559.53846875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 560.19659375
transcript.pyannote[86].end 562.12034375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 562.45784375
transcript.pyannote[87].end 564.28034375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 564.82034375
transcript.pyannote[88].end 565.12409375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 565.64721875
transcript.pyannote[89].end 566.81159375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 566.96346875
transcript.pyannote[90].end 584.90159375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 585.49221875
transcript.pyannote[91].end 587.55096875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 588.02346875
transcript.pyannote[92].end 597.79409375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 597.92909375
transcript.pyannote[93].end 608.03721875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 606.09659375
transcript.pyannote[94].end 609.37034375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 609.92721875
transcript.pyannote[95].end 617.67284375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 617.85846875
transcript.pyannote[96].end 621.03096875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 621.21659375
transcript.pyannote[97].end 622.61721875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 623.64659375
transcript.pyannote[98].end 625.03034375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 625.24971875
transcript.pyannote[99].end 629.21534375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 629.48534375
transcript.pyannote[100].end 632.96159375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 633.61971875
transcript.pyannote[101].end 633.88971875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 634.48034375
transcript.pyannote[102].end 639.15471875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 639.94784375
transcript.pyannote[103].end 641.93909375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 642.12471875
transcript.pyannote[104].end 643.42409375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 643.66034375
transcript.pyannote[105].end 647.08596875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 647.15346875
transcript.pyannote[106].end 650.49471875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 650.52846875
transcript.pyannote[107].end 660.65346875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 661.41284375
transcript.pyannote[108].end 663.03284375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 663.03284375
transcript.pyannote[109].end 663.53909375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 663.53909375
transcript.pyannote[110].end 663.85971875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 663.85971875
transcript.pyannote[111].end 663.87659375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 663.87659375
transcript.pyannote[112].end 665.20971875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 664.41659375
transcript.pyannote[113].end 671.65596875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 671.85846875
transcript.pyannote[114].end 673.22534375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 673.63034375
transcript.pyannote[115].end 678.00096875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 678.16971875
transcript.pyannote[116].end 679.57034375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 680.48159375
transcript.pyannote[117].end 683.35034375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 680.70096875
transcript.pyannote[118].end 683.02971875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 683.35034375
transcript.pyannote[119].end 683.51909375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 683.51909375
transcript.pyannote[120].end 683.55284375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 683.55284375
transcript.pyannote[121].end 683.56971875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 683.56971875
transcript.pyannote[122].end 683.58659375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 683.58659375
transcript.pyannote[123].end 683.63721875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 684.02534375
transcript.pyannote[124].end 694.57221875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 684.49784375
transcript.pyannote[125].end 684.83534375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 686.26971875
transcript.pyannote[126].end 686.28659375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 687.56909375
transcript.pyannote[127].end 688.54784375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 688.58159375
transcript.pyannote[128].end 688.66596875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 695.11221875
transcript.pyannote[129].end 708.46034375
transcript.pyannote[130].speaker SPEAKER_05
transcript.pyannote[130].start 708.46034375
transcript.pyannote[130].end 708.78096875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 708.73034375
transcript.pyannote[131].end 710.75534375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 710.90721875
transcript.pyannote[132].end 712.18971875
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 711.41346875
transcript.pyannote[133].end 711.88596875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 712.84784375
transcript.pyannote[134].end 718.97346875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 722.43284375
transcript.pyannote[135].end 723.04034375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 723.85034375
transcript.pyannote[136].end 727.71471875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 728.47409375
transcript.pyannote[137].end 729.13221875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 729.30096875
transcript.pyannote[138].end 732.35534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 733.23284375
transcript.pyannote[139].end 738.43034375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 738.51471875
transcript.pyannote[140].end 740.86034375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 741.87284375
transcript.pyannote[141].end 743.22284375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 743.54346875
transcript.pyannote[142].end 751.08659375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 751.28909375
transcript.pyannote[143].end 755.23784375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 755.76096875
transcript.pyannote[144].end 762.49409375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 763.01721875
transcript.pyannote[145].end 767.99534375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 768.51846875
transcript.pyannote[146].end 773.00721875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 773.24346875
transcript.pyannote[147].end 774.40784375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 774.66096875
transcript.pyannote[148].end 775.75784375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 776.39909375
transcript.pyannote[149].end 778.00221875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 778.37346875
transcript.pyannote[150].end 780.07784375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 780.66846875
transcript.pyannote[151].end 783.90846875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 785.27534375
transcript.pyannote[152].end 786.06846875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 786.77721875
transcript.pyannote[153].end 790.38846875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 790.74284375
transcript.pyannote[154].end 795.21471875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 794.55659375
transcript.pyannote[155].end 797.77971875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 797.94846875
transcript.pyannote[156].end 805.54221875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 806.03159375
transcript.pyannote[157].end 806.23409375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 807.01034375
transcript.pyannote[158].end 809.10284375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 809.50784375
transcript.pyannote[159].end 815.17784375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 816.08909375
transcript.pyannote[160].end 817.77659375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 818.92409375
transcript.pyannote[161].end 820.02096875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 820.56096875
transcript.pyannote[162].end 822.33284375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 822.90659375
transcript.pyannote[163].end 823.39596875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 823.61534375
transcript.pyannote[164].end 826.18034375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 826.26471875
transcript.pyannote[165].end 828.52596875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 828.10409375
transcript.pyannote[166].end 829.90971875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 829.47096875
transcript.pyannote[167].end 831.54659375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 831.54659375
transcript.pyannote[168].end 831.73221875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 831.58034375
transcript.pyannote[169].end 831.61409375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 831.73221875
transcript.pyannote[170].end 833.03159375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 833.03159375
transcript.pyannote[171].end 836.99721875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 837.26721875
transcript.pyannote[172].end 851.18909375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 851.54346875
transcript.pyannote[173].end 854.36159375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 854.98596875
transcript.pyannote[174].end 867.10221875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 867.64221875
transcript.pyannote[175].end 870.62909375
transcript.pyannote[176].speaker SPEAKER_05
transcript.pyannote[176].start 871.00034375
transcript.pyannote[176].end 871.54034375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 871.54034375
transcript.pyannote[177].end 872.23221875
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 872.53596875
transcript.pyannote[178].end 878.76284375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 878.76284375
transcript.pyannote[179].end 879.96096875
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 878.81346875
transcript.pyannote[180].end 879.43784375
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 879.96096875
transcript.pyannote[181].end 880.02846875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 880.02846875
transcript.pyannote[182].end 880.97346875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 881.24346875
transcript.pyannote[183].end 882.55971875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 882.91409375
transcript.pyannote[184].end 883.18409375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 883.62284375
transcript.pyannote[185].end 884.80409375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 885.34409375
transcript.pyannote[186].end 888.34784375
transcript.pyannote[187].speaker SPEAKER_05
transcript.pyannote[187].start 888.97221875
transcript.pyannote[187].end 894.22034375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 892.34721875
transcript.pyannote[188].end 893.39346875
transcript.pyannote[189].speaker SPEAKER_05
transcript.pyannote[189].start 894.43971875
transcript.pyannote[189].end 902.37096875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 901.89846875
transcript.pyannote[190].end 907.36596875
transcript.pyannote[191].speaker SPEAKER_05
transcript.pyannote[191].start 907.36596875
transcript.pyannote[191].end 910.47096875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 910.47096875
transcript.pyannote[192].end 910.58909375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 910.72409375
transcript.pyannote[193].end 912.44534375
transcript.pyannote[194].speaker SPEAKER_05
transcript.pyannote[194].start 912.51284375
transcript.pyannote[194].end 912.54659375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 912.54659375
transcript.pyannote[195].end 912.56346875
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 912.56346875
transcript.pyannote[196].end 912.83346875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 912.83346875
transcript.pyannote[197].end 914.70659375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 915.24659375
transcript.pyannote[198].end 915.61784375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 916.10721875
transcript.pyannote[199].end 917.20409375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 917.54159375
transcript.pyannote[200].end 919.75221875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 920.47784375
transcript.pyannote[201].end 922.94159375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 923.11034375
transcript.pyannote[202].end 923.38034375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 923.68409375
transcript.pyannote[203].end 924.88221875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 924.94971875
transcript.pyannote[204].end 926.67096875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 927.21096875
transcript.pyannote[205].end 929.80971875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 930.24846875
transcript.pyannote[206].end 930.38346875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 930.67034375
transcript.pyannote[207].end 933.01596875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 933.55596875
transcript.pyannote[208].end 934.56846875
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 935.17596875
transcript.pyannote[209].end 936.07034375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 936.99846875
transcript.pyannote[210].end 939.25971875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 939.91784375
transcript.pyannote[211].end 942.87096875
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 949.30034375
transcript.pyannote[212].end 950.76846875
transcript.whisperx[0].start 23.757
transcript.whisperx[0].end 28.018
transcript.whisperx[0].text 謝謝副院長麻煩我們卓榮泰卓院長請卓院長備詢
transcript.whisperx[1].start 41.251
transcript.whisperx[1].end 58.946
transcript.whisperx[1].text 我今天先就教幾個我們在地方上非常關注的重大建設它的進度那我們都知道政府的施政當然是需要時間不管從規劃可行性分析一直走到環評環評過了之後還有相關預算框列等等
transcript.whisperx[2].start 59.727
transcript.whisperx[2].end 79.39
transcript.whisperx[2].text 但是總是建設是逐步逐步暗部就幫往前走但在地方期待的時候有時候進度的掌握會讓人民曉得這個政府在做什麼所以我先就叫幾個大的案子第一個台86線也就是從喜樹一路往關廟那現在計畫要打通到淚門
transcript.whisperx[3].start 81.272
transcript.whisperx[3].end 97.729
transcript.whisperx[3].text 這對高雄的北邊 岐山內門一直到我們台南的南側它的交通動脈是非常重要的一個建設那我也長期在爭取跟追蹤當中所以我先請教第一個我們現在不管年節甚至於平常上下班
transcript.whisperx[4].start 98.49
transcript.whisperx[4].end 112.175
transcript.whisperx[4].text 在台86跟這一個國道3號光廟交流道呢都回堵到二高上面也回堵到歸人的交流道它已經是經常性的現象每一次上下班住在那邊的人
transcript.whisperx[5].start 113.151
transcript.whisperx[5].end 139.286
transcript.whisperx[5].text 能烙到就烙到那從前幾任的行政院長開始進行那一直到現在我們第一段有關86號跨越台19甲也就是往光廟新化的這一段目前的進度已經環評完成環境部也報了那現在交通部公路總局提報建設計畫在9月8號送進行政院審議這個審議核定了
transcript.whisperx[6].start 141.067
transcript.whisperx[6].end 163.133
transcript.whisperx[6].text 接下來就是發包施工我們在地方也跟公路總局當地有一個一貫道的總堂我們都希望那個橋嫁接的時候在民間信仰上尊重他們都協調完了我把社會成本可能導致的阻礙都已經溝通完了所以我第一個問題很簡單現在行政院審議9月8號到現在什麼時候可以審議完成
transcript.whisperx[7].start 167.997
transcript.whisperx[7].end 179.788
transcript.whisperx[7].text 目前我們已經送到行政院在審議當中目前審議的過程當中如果還有其他各部會的意見我們也會一起來做說明說明完之後行政院應該會蠻快速來審議通過
transcript.whisperx[8].start 181.249
transcript.whisperx[8].end 197.865
transcript.whisperx[8].text 因為9月8號送上來審議了現在已經是10月13、14了所以應該是我們的業務單位業務處正在審理當中那最後還會經過綜合性的這個討論再回到這個最終的大概何時可以 今年可以審議完成嗎
transcript.whisperx[9].start 199.286
transcript.whisperx[9].end 225.525
transcript.whisperx[9].text 我會促成讓他今年一定完成今年要過了嘛我們希望今年把審議完成環境部的部分已經OK了啦現在已經是最後審議階段那另外一側另外一側就是走原來貢獻因為我們怕傷害原來的環境那邊有二地形越世界的地形等等所以從182線原來的四道原來線道現在是四道延伸到五經兩準打民粹道過這一個內門這一段
transcript.whisperx[10].start 228.267
transcript.whisperx[10].end 248.468
transcript.whisperx[10].text 現在是交通部公路總局提報環評報告給環境部審查嘛那這一塊現在進度下一個階段什麼時候可以進行保委員現在這個是在程序當中我不能因為這個環評是獨立審查但是我們現在呢其實環評我們希望說專業的審查讓專家因為這一段有經過敏感地形對
transcript.whisperx[11].start 249.649
transcript.whisperx[11].end 266.264
transcript.whisperx[11].text 這一段有經過這個紐譜啦這些破碎帶等等我是支持環評嚴審但是進度要讓人家掌握到我們常常看到一件事情上去兩三個月都沒消息也許你們做了很多民眾不知道所以後面在
transcript.whisperx[12].start 269.207
transcript.whisperx[12].end 287.9
transcript.whisperx[12].text 東側這一段靠近高雄岐山田寮這一段現在在環評當中嘛你們有沒有預計這個環評抓多久的工作時間報告委員我們現在環評大概一般的平均來說的話大概是說半年以內會可以告一個段落但是就要看它複雜的程度啦所以我們還是尊重這個環評委員的專業
transcript.whisperx[13].start 289.481
transcript.whisperx[13].end 312.536
transcript.whisperx[13].text 這一塊其實已經經過歐新等等環民做很多次了因為做很多次反而大家都了解會比較快呢還是因為做很多次所以比較複雜會跑比較慢 你的判斷現在其實我們的委員都很專業但是我委員 報告委員因為有些人會說我們這個開快車基本上這個都是按照一個程序在走我們不會給他特別的關注
transcript.whisperx[14].start 312.956
transcript.whisperx[14].end 335.928
transcript.whisperx[14].text 或是給他們任何的壓力都是他們獨立在做所以後段現在環評當中平均時間是半年但是我們尊重環評委員會獨立審查我們平均左右前段也就是塞車最嚴重的官票交流到這一塊環評OK了大概意見都一致了現在就等行政院核定那行政院在年底前我們希望能夠核定接下來就是準備發包施工相關的工作
transcript.whisperx[15].start 336.468
transcript.whisperx[15].end 354.619
transcript.whisperx[15].text 好 那另外呢昨天我謝謝鄭麗君副院長來到台南我們在沙崙國中有進行一個跟地方面對面的溝通其中台南市政府也是我們地方的需求提了ABCD四個案子這四個案子呢第一個案呢是把台86線這個台86線現在是一個交通大動脈
transcript.whisperx[16].start 360.902
transcript.whisperx[16].end 388.072
transcript.whisperx[16].text 早晚嚴重塞車的地方所以有時候我們要趕高鐵要走這條線要去關廟走這條線往另外一側呢到台南機場要走這條線到西濱快遙走這條線我告訴你真的趕路的人我不敢上去我都走區域道路因為他一直都塞住的所以我曾經在從林泉院長到賴清德院長到蘇貞昌院長到陳建仁院長我每次都質詢說
transcript.whisperx[17].start 389.892
transcript.whisperx[17].end 410.54
transcript.whisperx[17].text 86號已經固定了可是下面的側邊道下面有一個單側的一側往東一側往西應該善用下面這個側邊道把它拓寬讓地區的人可以透過這個解決塞車之苦那台南市政府也提一個案子53億要把
transcript.whisperx[18].start 411.64
transcript.whisperx[18].end 436.832
transcript.whisperx[18].text 台灣東西向台86號東西向的下面的側邊道各拓寬為8米雙線道一側由喜樹灣里往觀廟一側是由觀廟往西向喜樹灣里這可以有效減緩疏解台86東西塊上面的塞車現象我想這個部分從陳士凱擔任部長以來我們這個案子
transcript.whisperx[19].start 437.632
transcript.whisperx[19].end 465.017
transcript.whisperx[19].text 關心很久那現在呢台南市政府已經提一個53億的案子我待會詢問你進度第二個案子是有關高鐵特定區這邊是我們的綠能AI非常重要的一個區域那台86號呢是在這個區域的北側永瑟事實上在南側呢如果台南市政府提出一個把國道3田寮休息站官廟休息站跟國道1的
transcript.whisperx[20].start 465.777
transcript.whisperx[20].end 486.657
transcript.whisperx[20].text 仁德休息站那邊有一個長榮路如果把這兩條連結起來的話我等於用最便宜的預算在南側開闢了一個你類似的快速道路而且他會加會台南沙崙智慧綠能科學城以及高雄從陸竹以北這個區塊
transcript.whisperx[21].start 488.214
transcript.whisperx[21].end 514.857
transcript.whisperx[21].text 又不用用快速道路這麼高額的預算當然他現在快331億我認為是核實之後未必要那麼高這是第二個第三個是南157道這個圖片上有他是一個在我們現在高鐵的歸人交流道嚴重塞車在後端迎接的AI沙輪以及成大沙輪園區一個新的交流道一個大道
transcript.whisperx[22].start 515.357
transcript.whisperx[22].end 534.065
transcript.whisperx[22].text 那第一這個案子呢是屬於園區內的鋪面我就不再引述了這四個案子其中ABC案呢准許謝謝鎮議院副院長來我們當面溝通這三個案子我不曉得部長或院長有沒有掌握到目前可以核准的或要進行研擬的是哪些案子
transcript.whisperx[23].start 535.189
transcript.whisperx[23].end 564.011
transcript.whisperx[23].text 好 報告委員針對A案的部分我們會建議透過生活圈道路的申請我們也會來協助台南市政府因為他們已經提出案子了嘛那之前是沒有案子那現在已經提出案子我們就來協助他用生活圈道路的方式目前A B C我focus在這三案A案86下面側邊道的拓寬B案其實B案是一個非常有創意又可以減低工程衝擊把 你看關廟休息站
transcript.whisperx[24].start 564.807
transcript.whisperx[24].end 584.56
transcript.whisperx[24].text 跟仁德休息站用現在長榮大學外面那條長榮路把它拓寬把它整個串接起來這條路開闢起來的話會非常有效果因為我們現在台南人都知道我們仁德交流道以南天天都是那個是時時刻刻都在塞車他得把兩個休息站當交流道用
transcript.whisperx[25].start 585.501
transcript.whisperx[25].end 609.217
transcript.whisperx[25].text 把兩個休息站當交流道用然後把它關這一個我請交通部好好研擬這個案子可能要好好去思考但A案跟C案你能不能允諾來支持這兩個案子這兩個案子講很久了我們會來協助市政府透過生活圈道路的申請模式來申請那另外一方面就是說如果假使經費不夠的話或許國科會這兩個A跟C案用生活圈道路一定不夠啦
transcript.whisperx[26].start 610.154
transcript.whisperx[26].end 632.859
transcript.whisperx[26].text 我們來申請看如果不行的話就是國科會他們針對這個南科產業第四期計劃他也有一些預算可以來協助我希望行政院跟陳士凱部長這邊ABC三個案請你們列管其中A跟C案如果可以統一競訴統一因為其中86號下面的車變道我已經追了快八九年了
transcript.whisperx[27].start 634.502
transcript.whisperx[27].end 660.507
transcript.whisperx[27].text 那好不容易這案子慢慢現在成熟了而且現在不做 將來一定後悔因為越來越貴而且它旁邊的需求量越來越大而你做了之後對於從奇美博物館 台南機場 喜樹喜樹灣這邊 其實那邊是紅色海灘整個在戰略上的需求 經濟上的需求以及新的成大醫院沙崙園區它整個會串聯 AI園區都會串聯在一起你慢慢走下去
transcript.whisperx[28].start 661.762
transcript.whisperx[28].end 679.304
transcript.whisperx[28].text 願慢做他的永篩會越久所以院長你的態度報告委員就依現在剛剛部長答覆的A案C案這兩案子我會請國發會國歌會一起來討論這個事情我們中共共建設跟這個南科的整個發展區域性的發展我們共同來討論這個事情儘快把它做一個
transcript.whisperx[29].start 680.526
transcript.whisperx[29].end 710.266
transcript.whisperx[29].text 有進度的時間讓他出來讓民眾知道我們下一步是什麼下一步是什麼什麼時候可以開始動主具體讓納稅人了解進度是很重要的好重大尤其重大建設對民眾來講他可能不曉得可行性分析他也不了解規劃他不曉得這些行政過程那我們政府有一個責任就是重大建設要讓民眾用最簡單的方式了解現在進度到哪裡這個我可以拜託行政院
transcript.whisperx[30].start 710.986
transcript.whisperx[30].end 731.414
transcript.whisperx[30].text 好另外呢另外這個交通建設案以外呢我可能先請兩位部長下去了我們請法務部上來好不好基隆之前的民政處處長張淵祥他私底下他的權責他是管護證的
transcript.whisperx[31].start 733.448
transcript.whisperx[31].end 740.316
transcript.whisperx[31].text 結果他為了去罷免民進黨籍的市議員私底下把戶政事務所的資料庫打開
transcript.whisperx[32].start 742.066
transcript.whisperx[32].end 767.158
transcript.whisperx[32].text 讓他們方便連署本案已經起訴也判刑一年十個月了部長知道這個案嗎我今天不是要你談個案我覺得作為一個立法委員老是在國會殿堂質詢個案這個是非常不妥適的但我現在講說那個案子已經審判了就是謝國良的民政處長偷偷拿民政處的戶政資料提供出去讓人家弄連署
transcript.whisperx[33].start 768.979
transcript.whisperx[33].end 785.845
transcript.whisperx[33].text 這個罷免民進黨籍的基隆市議員後來現在被判刑一年十個月所以這違法很明確那我現在請教如果用駭客的方式駭進戶政機關把戶政機關裡面的個資把它拿出來這個有沒有違法
transcript.whisperx[34].start 787.46
transcript.whisperx[34].end 814.949
transcript.whisperx[34].text 這個駭客這個有妨害使用電腦罪這個是有刑法358、359條的這個樣態有沒有比那個張淵祥的案子更嚴重這個當然是很不應該啦這個是很嚴重的行為那這個是五年以下有期徒刑的罪那另外呢利用駭客的技術把準官方機構類似央廣啦或者中央社啊這種我把你換成五星旗
transcript.whisperx[35].start 816.375
transcript.whisperx[35].end 845.376
transcript.whisperx[35].text 這個行為抓到的話這個涉犯什麼法律這個有那個有這個有甚至有個資法的一個問題那還有那個這個要違反有違反相關刑法相關刑法這個像這個案件是北檢有在偵辦中的去偷個資是一個法律用駭客手段也是一個法律嘛他等於是有兩個違法所以我現在請教我們目前國家像我們訴發部我們治安署我們
transcript.whisperx[36].start 846.196
transcript.whisperx[36].end 871.743
transcript.whisperx[36].text 我們治安辦啊 甚至於國安局啊我們部隊都有類似這樣的這個知通安的相關的建制如果有人 比方說有人找了駭客駭進去戶政事務所駭進去官方網站 把他置換的時候我們有沒有能力回頭溯源知道IP在哪裡 範銜在哪裡這是一個偵辦的技巧嘛 有沒有能力部長
transcript.whisperx[37].start 873.344
transcript.whisperx[37].end 888.195
transcript.whisperx[37].text 如果發生這樣的狀況的話,我們會儘速的派人去...以你了解,因為我現在講說,這樣子的樣態,我們有沒有能力回溯出范嫻的所在跟身份?
transcript.whisperx[38].start 889.196
transcript.whisperx[38].end 914.556
transcript.whisperx[38].text 是這個要看那個犯案人員他用什麼樣的方法沒有在境外有沒有能力境外的話我們可能要檢查他的那個log他的那個記錄那看是不是能找到他的那個他用跳接的VPN的方式境內境外跳來跳去以你們現在能力有沒有辦法掌握這個要看那個駭客他的技巧到什麼樣的程度這個案子不能小覷喔如果今天我找了
transcript.whisperx[39].start 915.336
transcript.whisperx[39].end 942.726
transcript.whisperx[39].text 其實政治人物不應該找駭客去駭民間的資料庫或公家的資料庫是這是嚴重侵權這在美國FBI是重罪如果在美國FBI是重罪他們抓到好幾個中國有五個去駭進他們的資料庫全球通緝所以這個是重罪所以你們的能力如果有辦法溯源找到我覺得應該盡速偵辦嚇阻這樣的行為好不好
transcript.whisperx[40].start 949.386
transcript.whisperx[40].end 950.33
transcript.whisperx[40].text 好谢谢谢谢