iVOD / 165430

Field Value
IVOD_ID 165430
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165430
日期 2025-11-13
會議資料.會議代碼 委員會-11-4-23-6
會議資料.會議代碼:str 第11屆第4會期交通委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 6
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4會期交通委員會第6次全體委員會議
影片種類 Clip
開始時間 2025-11-13T11:39:26+08:00
結束時間 2025-11-13T11:47:56+08:00
影片長度 00:08:30
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fffa2c65c610face6769202e88699b6163fe2012470c75420834c22697b3aa2aa7eba39b12b3691e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 11:39:26 - 11:47:56
會議時間 2025-11-13T09:00:00+08:00
會議名稱 立法院第11屆第4會期交通委員會第6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_00
transcript.pyannote[0].start 1.00971875
transcript.pyannote[0].end 5.68409375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 6.22409375
transcript.pyannote[1].end 7.86096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 12.65346875
transcript.pyannote[2].end 13.34534375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.54784375
transcript.pyannote[3].end 16.14659375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 16.97346875
transcript.pyannote[4].end 20.38221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 21.39471875
transcript.pyannote[5].end 22.03596875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 22.59284375
transcript.pyannote[6].end 23.35221875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 23.97659375
transcript.pyannote[7].end 31.06409375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 31.77284375
transcript.pyannote[8].end 33.74721875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 34.48971875
transcript.pyannote[9].end 37.24034375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 37.98284375
transcript.pyannote[10].end 38.23596875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 38.80971875
transcript.pyannote[11].end 43.65284375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 44.37846875
transcript.pyannote[12].end 45.71159375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 46.25159375
transcript.pyannote[13].end 49.96409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 51.83721875
transcript.pyannote[14].end 54.62159375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 55.38096875
transcript.pyannote[15].end 56.98409375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 57.94596875
transcript.pyannote[16].end 61.65846875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 62.21534375
transcript.pyannote[17].end 62.97471875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 63.44721875
transcript.pyannote[18].end 65.11784375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 65.69159375
transcript.pyannote[19].end 67.46346875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 67.98659375
transcript.pyannote[20].end 69.11721875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 69.70784375
transcript.pyannote[21].end 72.20534375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 72.44159375
transcript.pyannote[22].end 74.04471875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 74.71971875
transcript.pyannote[23].end 76.50846875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 77.14971875
transcript.pyannote[24].end 78.82034375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 80.49096875
transcript.pyannote[25].end 83.76471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 84.50721875
transcript.pyannote[26].end 86.05971875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 86.65034375
transcript.pyannote[27].end 89.11409375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 89.13096875
transcript.pyannote[28].end 91.93221875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 92.91096875
transcript.pyannote[29].end 95.17221875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 96.40409375
transcript.pyannote[30].end 97.16346875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 97.95659375
transcript.pyannote[31].end 99.57659375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 99.82971875
transcript.pyannote[32].end 100.79159375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 101.53409375
transcript.pyannote[33].end 102.29346875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 103.33971875
transcript.pyannote[34].end 105.43221875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 105.88784375
transcript.pyannote[35].end 108.03096875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 110.10659375
transcript.pyannote[36].end 112.85721875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 113.31284375
transcript.pyannote[37].end 114.83159375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 115.23659375
transcript.pyannote[38].end 120.45096875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 121.24409375
transcript.pyannote[39].end 124.09596875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 124.29846875
transcript.pyannote[40].end 126.71159375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 129.51284375
transcript.pyannote[41].end 130.15409375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 131.06534375
transcript.pyannote[42].end 131.77409375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 132.71909375
transcript.pyannote[43].end 135.53721875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 136.80284375
transcript.pyannote[44].end 140.17784375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 141.13971875
transcript.pyannote[45].end 143.78909375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 144.46409375
transcript.pyannote[46].end 146.11784375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 147.07971875
transcript.pyannote[47].end 148.95284375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 149.29034375
transcript.pyannote[48].end 150.82596875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 151.45034375
transcript.pyannote[49].end 152.58096875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 153.37409375
transcript.pyannote[50].end 154.77471875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 155.29784375
transcript.pyannote[51].end 159.88784375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 160.56284375
transcript.pyannote[52].end 163.71846875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 164.10659375
transcript.pyannote[53].end 165.13596875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 165.52409375
transcript.pyannote[54].end 167.43096875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 167.54909375
transcript.pyannote[55].end 169.08471875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 169.50659375
transcript.pyannote[56].end 171.78471875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 172.10534375
transcript.pyannote[57].end 173.94471875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 174.29909375
transcript.pyannote[58].end 175.21034375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 175.81784375
transcript.pyannote[59].end 177.72471875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 178.38284375
transcript.pyannote[60].end 179.69909375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 180.07034375
transcript.pyannote[61].end 183.17534375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 183.68159375
transcript.pyannote[62].end 185.62221875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 186.97221875
transcript.pyannote[63].end 188.30534375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 189.55409375
transcript.pyannote[64].end 190.34721875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 190.97159375
transcript.pyannote[65].end 192.72659375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 193.92471875
transcript.pyannote[66].end 194.63346875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 194.93721875
transcript.pyannote[67].end 196.21971875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 196.47284375
transcript.pyannote[68].end 198.76784375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 199.76346875
transcript.pyannote[69].end 202.42971875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 203.08784375
transcript.pyannote[70].end 203.34096875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 203.91471875
transcript.pyannote[71].end 206.19284375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 206.63159375
transcript.pyannote[72].end 208.65659375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 209.41596875
transcript.pyannote[73].end 212.40284375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 212.89221875
transcript.pyannote[74].end 219.06846875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 219.52409375
transcript.pyannote[75].end 221.53221875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 222.05534375
transcript.pyannote[76].end 222.40971875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 222.78096875
transcript.pyannote[77].end 226.02096875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 226.72971875
transcript.pyannote[78].end 228.45096875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 228.75471875
transcript.pyannote[79].end 232.46721875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 232.92284375
transcript.pyannote[80].end 234.39096875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 234.66096875
transcript.pyannote[81].end 235.80846875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 236.85471875
transcript.pyannote[82].end 237.10784375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 237.47909375
transcript.pyannote[83].end 238.49159375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 239.11596875
transcript.pyannote[84].end 240.92159375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 241.95096875
transcript.pyannote[85].end 246.57471875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 246.92909375
transcript.pyannote[86].end 248.31284375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 249.12284375
transcript.pyannote[87].end 249.69659375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 250.25346875
transcript.pyannote[88].end 252.19409375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 252.53159375
transcript.pyannote[89].end 253.62846875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 254.21909375
transcript.pyannote[90].end 263.01096875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 264.88409375
transcript.pyannote[91].end 266.74034375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 267.22971875
transcript.pyannote[92].end 268.47846875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 269.18721875
transcript.pyannote[93].end 270.06471875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 270.43596875
transcript.pyannote[94].end 271.61721875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 272.22471875
transcript.pyannote[95].end 273.03471875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 273.13596875
transcript.pyannote[96].end 273.64221875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 275.39721875
transcript.pyannote[97].end 275.85284375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 276.66284375
transcript.pyannote[98].end 277.47284375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 278.50221875
transcript.pyannote[99].end 278.78909375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 279.09284375
transcript.pyannote[100].end 280.24034375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 280.47659375
transcript.pyannote[101].end 280.71284375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 280.91534375
transcript.pyannote[102].end 283.42971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 283.81784375
transcript.pyannote[103].end 284.03721875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 284.57721875
transcript.pyannote[104].end 286.45034375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 287.37846875
transcript.pyannote[105].end 290.21346875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 291.39471875
transcript.pyannote[106].end 293.03159375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 293.62221875
transcript.pyannote[107].end 294.55034375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 295.34346875
transcript.pyannote[108].end 296.35596875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 296.96346875
transcript.pyannote[109].end 298.02659375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 298.88721875
transcript.pyannote[110].end 300.00096875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 300.76034375
transcript.pyannote[111].end 303.22409375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 303.35909375
transcript.pyannote[112].end 304.27034375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 305.72159375
transcript.pyannote[113].end 306.05909375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 307.02096875
transcript.pyannote[114].end 309.53534375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 310.44659375
transcript.pyannote[115].end 311.69534375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 312.10034375
transcript.pyannote[116].end 314.41221875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 316.23471875
transcript.pyannote[117].end 318.78284375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 319.37346875
transcript.pyannote[118].end 321.34784375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 321.73596875
transcript.pyannote[119].end 322.57971875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 322.90034375
transcript.pyannote[120].end 324.89159375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 326.08971875
transcript.pyannote[121].end 326.41034375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 327.00096875
transcript.pyannote[122].end 331.62471875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 332.83971875
transcript.pyannote[123].end 336.14721875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 336.36659375
transcript.pyannote[124].end 340.68659375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 341.47971875
transcript.pyannote[125].end 343.77471875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 345.58034375
transcript.pyannote[126].end 346.52534375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 347.55471875
transcript.pyannote[127].end 348.44909375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 349.74846875
transcript.pyannote[128].end 350.50784375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 351.53721875
transcript.pyannote[129].end 352.71846875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 353.02221875
transcript.pyannote[130].end 353.68034375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 354.89534375
transcript.pyannote[131].end 355.95846875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 357.44346875
transcript.pyannote[132].end 357.96659375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 357.96659375
transcript.pyannote[133].end 358.15221875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 358.87784375
transcript.pyannote[134].end 360.75096875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 361.18971875
transcript.pyannote[135].end 366.43784375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 366.57284375
transcript.pyannote[136].end 371.41596875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 371.93909375
transcript.pyannote[137].end 373.03596875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 373.55909375
transcript.pyannote[138].end 377.40659375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 377.60909375
transcript.pyannote[139].end 379.66784375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 380.00534375
transcript.pyannote[140].end 380.81534375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 380.88284375
transcript.pyannote[141].end 385.86096875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 386.55284375
transcript.pyannote[142].end 389.18534375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 389.21909375
transcript.pyannote[143].end 394.53471875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 394.68659375
transcript.pyannote[144].end 396.55971875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 396.86346875
transcript.pyannote[145].end 402.48284375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 401.36909375
transcript.pyannote[146].end 408.01784375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 409.65471875
transcript.pyannote[147].end 411.07221875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 412.15221875
transcript.pyannote[148].end 413.29971875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 414.56534375
transcript.pyannote[149].end 417.16409375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 417.70409375
transcript.pyannote[150].end 433.81971875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 418.91909375
transcript.pyannote[151].end 420.03284375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 434.37659375
transcript.pyannote[152].end 435.59159375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 436.16534375
transcript.pyannote[153].end 438.46034375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 440.06346875
transcript.pyannote[154].end 441.36284375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 442.05471875
transcript.pyannote[155].end 446.86409375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 447.62346875
transcript.pyannote[156].end 449.93534375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 450.82971875
transcript.pyannote[157].end 452.48346875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 453.14159375
transcript.pyannote[158].end 456.63471875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 457.42784375
transcript.pyannote[159].end 458.60909375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 458.67659375
transcript.pyannote[160].end 460.36409375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 460.98846875
transcript.pyannote[161].end 462.37221875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 463.30034375
transcript.pyannote[162].end 463.67159375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 464.27909375
transcript.pyannote[163].end 466.77659375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 467.67096875
transcript.pyannote[164].end 471.40034375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 473.34096875
transcript.pyannote[165].end 475.07909375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 475.45034375
transcript.pyannote[166].end 477.27284375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 477.93096875
transcript.pyannote[167].end 479.36534375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 479.88846875
transcript.pyannote[168].end 481.64346875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 482.04846875
transcript.pyannote[169].end 483.33096875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 484.12409375
transcript.pyannote[170].end 484.79909375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 485.18721875
transcript.pyannote[171].end 486.23346875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 487.33034375
transcript.pyannote[172].end 488.61284375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 489.57471875
transcript.pyannote[173].end 490.35096875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 490.89096875
transcript.pyannote[174].end 496.00409375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 496.52721875
transcript.pyannote[175].end 502.28159375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 502.50096875
transcript.pyannote[176].end 507.22596875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 507.88409375
transcript.pyannote[177].end 508.59284375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 508.98096875
transcript.pyannote[178].end 510.97221875
transcript.whisperx[0].start 1.272
transcript.whisperx[0].end 19.966
transcript.whisperx[0].text 主席有請這個主委 政務委員請陳主委委員好主委好這個今天就是談這個馬太安西菸社府
transcript.whisperx[1].start 24.187
transcript.whisperx[1].end 48.964
transcript.whisperx[1].text 這個應變中央協調匯報現在已經由這個主委來擔任這個執行秘書在今天的報告裡面也提到這個馬太安西安社府整治包括防範並執行減災監測及修築提防加固加高這個都是在特別條例裡面所明定的
transcript.whisperx[2].start 52.069
transcript.whisperx[2].end 78.13
transcript.whisperx[2].text 這很遺憾的就在這一次的鳳凰颱風的非常非常遙遠的颱風然後帶來的這些蠔蟻就造成了這個萬隆鄉就是馬太安溪的另外一側上次是在光復鄉這次跑到萬隆鄉就因為這個堤防有這樣的一個
transcript.whisperx[3].start 81.123
transcript.whisperx[3].end 107.56
transcript.whisperx[3].text 就是沒有設堤防的一個一流點就從那邊就這樣進來了所以這個部分經過一個多月之後仍然發生這樣的一個情形當然一直發生這樣的一個災情現在光復鄉鳳林鎮望榮鄉很多的鄉親都在反映最重要的還是在這個
transcript.whisperx[4].start 110.368
transcript.whisperx[4].end 135.334
transcript.whisperx[4].text 馬太安西安社府的霸體要如何趕快處理這個源頭我們就今天談這個源頭上次我在總質詢的時候也有跟院長提過那因為當初時間的關係沒有辦法細談事實上本席我都已經認為說我知道的太晚
transcript.whisperx[5].start 136.857
transcript.whisperx[5].end 162.852
transcript.whisperx[5].text 對於馬太安西岩社福這個大體我是在8月初才知道從媒體的報導才知道後來才發現原來水利以前的農委會林務及他們在109年就開始看到這個崩塌的現象有時候有流水有時候沒有
transcript.whisperx[6].start 164.246
transcript.whisperx[6].end 184.963
transcript.whisperx[6].text 沒有水是這樣的一個情形我們就所以我8月初才知道所以我提了這個附帶決議當初是為了丹納斯颱風的特別條例我提出了這個附帶決議當初就是建議那個壩體一定要開花易洪道而事實上我後來也才發現這個106年農委會就已經有這樣的一個
transcript.whisperx[7].start 194.193
transcript.whisperx[7].end 208.29
transcript.whisperx[7].text 对于阉色符的霸体应该要怎么去处理都有一个100厘米就已经有规定了所以我们现在这个亡羊补牢毕竟还是要去处理
transcript.whisperx[8].start 209.505
transcript.whisperx[8].end 235.588
transcript.whisperx[8].text 所以農業部農業部在10月25號我有親自陪同行政院院長去提防那邊當時農業部的報告他們也要積極處理天然霸體的治理工程他們的方式就是要從光復的林道還有望龍的林道來去上山來去上山
transcript.whisperx[9].start 237.549
transcript.whisperx[9].end 262.797
transcript.whisperx[9].text 望龍林道跟光復林道他們目前的規劃要把這個林道本來就有林道了本來就有林道要把這個林道透寬要讓這個挖土機能夠上山上山之後然後去挖這個壩體這個他們的規劃有方案一方案二
transcript.whisperx[10].start 264.926
transcript.whisperx[10].end 288.777
transcript.whisperx[10].text 當然我上次跟這個院長建議現在也是向主委建議因為這樣子去是一種做法這個當然我不是專業人士當初我的建議就是說當初我8月22號開過學條會
transcript.whisperx[11].start 292.128
transcript.whisperx[11].end 316.98
transcript.whisperx[11].text 開過緊急的協調會8月22號為什麼會開呢因為我那時候8月22號開協調會我是8月20號看到農業部的報那個消息多沒有下雨的話10月初就會一流所以我8月20號趕快發公文
transcript.whisperx[12].start 319.454
transcript.whisperx[12].end 346.406
transcript.whisperx[12].text 也邀請了公共工程委員會災防辦還有農業部經濟部除了下游的堤防加固加高河床輸菌都提了當然上面的霸體也應該要想辦法處理當然時間以現在來看已經很晚了太晚了所以我的訊息說真的是太晚了所以我們現在還是要處理
transcript.whisperx[13].start 349.93
transcript.whisperx[13].end 357.719
transcript.whisperx[13].text 還是要處理這個不曉得 主委有什麼樣的評估
transcript.whisperx[14].start 358.925
transcript.whisperx[14].end 385.561
transcript.whisperx[14].text 好 謝謝委員 的確是委員在協調淡岸式風災特別條例的時候附帶決議因此特別預算才編了一億兩千萬針對堰塞湖的這個監測疏洪還有一些防災才有這個預算那目前是採取方案一啦從這個關戶林道上去兩百天所以我才說希望明年六月夏天之前
transcript.whisperx[15].start 386.882
transcript.whisperx[15].end 412.976
transcript.whisperx[15].text 這個林道應該要改善完畢讓相關機具能夠上去但上去不是直接要挖那個壩體是作為監測或者是了解或者裝置監測設備或者是有什麼疏洪可以慢慢疏洪的是這樣子現在監測系統都有了監測系統都有了所以這個部分
transcript.whisperx[16].start 414.622
transcript.whisperx[16].end 437.858
transcript.whisperx[16].text 如果只是這樣的話我就建議就不要了先讓人機具能夠到達才能夠決定採取什麼方案否則人用直升機吊掛下去或機械重機械根本沒辦法下去所以要領導先做好然後上去再評估用什麼方式好那個這樣我的建議還是我上次提過
transcript.whisperx[17].start 440.317
transcript.whisperx[17].end 465.255
transcript.whisperx[17].text 過去都有案例所以一定要去不是單獨由農業部去處理我是建議公共工程委員會既然你們是一個這個條例的主管機關特別條例的主管機關你們要召集相關的部會包括國防部包括專業人士
transcript.whisperx[18].start 467.728
transcript.whisperx[18].end 490.087
transcript.whisperx[18].text 然后去参考过去国际的案例直升机不是没有上去过内政部的直升机已经上去过了也把人放下去了所以这个部分何况啊挖土机他是可以拆解的挖土机
transcript.whisperx[19].start 490.953
transcript.whisperx[19].end 508.398
transcript.whisperx[19].text 可以拆解上去然後再組裝的所以這個必須要專業人士我只能建議了我只能建議所以你們一定要去積極的召開這樣的一個專業的會議我只不過是做這樣的一個建議好不好好 謝謝好 謝謝鄭天才