iVOD / 169772

Field Value
IVOD_ID 169772
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/169772
日期 2026-06-03
會議資料.會議代碼 委員會-11-5-15-16
會議資料.會議代碼:str 第11屆第5會期內政委員會第16次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 16
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第5會期內政委員會第16次全體委員會議
影片種類 Clip
開始時間 2026-06-03T10:16:29+08:00
結束時間 2026-06-03T10:28:56+08:00
影片長度 00:12:27
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5329b193fad04125bb3dd04680d24466cf886063649796cb77c83729728f4ea812711eb9931fe1bb5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張宏陸
委員發言時間 10:16:29 - 10:28:56
會議時間 2026-06-03T09:00:00+08:00
會議名稱 (變更議程)立法院第11屆第5會期內政委員會第16次全體委員會議(事由:一、邀請內政部部長、警政署署長、交通部部長、經濟部部長就「我國測速照相設備設置標準、執行成效及調整不合理執法點位精進作為」進行專題報告,並備質詢。二、邀請內政部部長、海洋委員會主任委員、法務部部長、交通部部長、教育部部長、衛生福利部部長、數位發展部部長、財政部關務署署長就「因應新興毒品氾濫導致毒駕案件飆升,如何強化執法量能及防制策略」進行專題報告,並備質詢。三、審查115年度中央政府總預算案關於警政署及所屬、中央警察大學、消防署及所屬、移民署、空中勤務總隊部分。四、審查115年度中央政府總預算案關於直轄市及縣市政府一般性補助款消防署及所屬、移民署、警政署及所屬部分。五、審查115年度中央政府總預算案附屬單位預算非營業部分關於內政部主管特別收入基金—新住民發展基金、警察消防海巡移民空勤人員及協勤民力安全基金。六、審查115年度中央政府總預算案附屬單位預算非營業部分關於內政部主管信託基金—在校學生獎學基金、劉竹琛先生警察子女獎學基金、誠園獎學基金。七、審查內政部函送財團法人臺灣省義勇人員安全濟助基金會、財團法人警察學術研究基金會、財團法人義勇消防人員安全濟助基金會等3家財團法人115年度預算書案。【警政署、消防署之部分預算另定期以秘密會議進行審查】【預算審查僅詢答;相關預算提案於115年6月15日(星期一)中午12時前截止收件。】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 2.95034375
transcript.pyannote[0].end 10.64534375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 14.66159375
transcript.pyannote[1].end 15.40409375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 23.35221875
transcript.pyannote[2].end 36.75096875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 37.37534375
transcript.pyannote[3].end 49.60971875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 49.93034375
transcript.pyannote[4].end 54.33471875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 54.92534375
transcript.pyannote[5].end 58.63784375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 60.08909375
transcript.pyannote[6].end 70.02846875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 70.02846875
transcript.pyannote[7].end 79.34346875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 79.46159375
transcript.pyannote[8].end 80.35596875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 80.62596875
transcript.pyannote[9].end 80.96346875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 80.96346875
transcript.pyannote[10].end 81.92534375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 81.92534375
transcript.pyannote[11].end 81.94221875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 81.94221875
transcript.pyannote[12].end 81.95909375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 82.33034375
transcript.pyannote[13].end 82.34721875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 82.34721875
transcript.pyannote[14].end 83.07284375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 83.93346875
transcript.pyannote[15].end 84.28784375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 84.37221875
transcript.pyannote[16].end 84.84471875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 85.18221875
transcript.pyannote[17].end 86.95409375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 87.94971875
transcript.pyannote[18].end 89.56971875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 90.07596875
transcript.pyannote[19].end 93.82221875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 93.16409375
transcript.pyannote[20].end 93.75471875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 93.82221875
transcript.pyannote[21].end 93.95721875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 93.95721875
transcript.pyannote[22].end 94.02471875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 94.02471875
transcript.pyannote[23].end 118.98284375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 118.99971875
transcript.pyannote[24].end 120.09659375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 120.58596875
transcript.pyannote[25].end 120.67034375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 120.67034375
transcript.pyannote[26].end 120.68721875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 120.68721875
transcript.pyannote[27].end 120.94034375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 120.94034375
transcript.pyannote[28].end 124.93971875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 125.37846875
transcript.pyannote[29].end 125.39534375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 125.39534375
transcript.pyannote[30].end 128.97284375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 128.97284375
transcript.pyannote[31].end 129.37784375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 129.37784375
transcript.pyannote[32].end 129.39471875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 129.86721875
transcript.pyannote[33].end 130.13721875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 130.13721875
transcript.pyannote[34].end 130.23846875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 130.57596875
transcript.pyannote[35].end 132.68534375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 130.69409375
transcript.pyannote[36].end 131.45346875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 132.68534375
transcript.pyannote[37].end 132.71909375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 132.71909375
transcript.pyannote[38].end 132.82034375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 132.82034375
transcript.pyannote[39].end 132.88784375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 132.88784375
transcript.pyannote[40].end 135.33471875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 134.54159375
transcript.pyannote[41].end 138.16971875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 137.69721875
transcript.pyannote[42].end 139.03034375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 139.09784375
transcript.pyannote[43].end 139.51971875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 139.73909375
transcript.pyannote[44].end 142.81034375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 143.38409375
transcript.pyannote[45].end 146.15159375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 145.84784375
transcript.pyannote[46].end 148.96971875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 147.67034375
transcript.pyannote[47].end 156.96846875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 156.12471875
transcript.pyannote[48].end 156.93471875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 156.96846875
transcript.pyannote[49].end 158.75721875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 157.05284375
transcript.pyannote[50].end 164.22471875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 163.48221875
transcript.pyannote[51].end 167.81909375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 168.42659375
transcript.pyannote[52].end 169.96221875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 170.04659375
transcript.pyannote[53].end 172.56096875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 172.20659375
transcript.pyannote[54].end 175.04159375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 175.04159375
transcript.pyannote[55].end 175.07534375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 175.41284375
transcript.pyannote[56].end 175.42971875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 175.42971875
transcript.pyannote[57].end 184.33971875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 180.47534375
transcript.pyannote[58].end 182.55096875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 183.69846875
transcript.pyannote[59].end 185.62221875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 186.01034375
transcript.pyannote[60].end 190.38096875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 190.85346875
transcript.pyannote[61].end 203.30721875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 204.35346875
transcript.pyannote[62].end 205.73721875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 206.17596875
transcript.pyannote[63].end 208.06596875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 208.60596875
transcript.pyannote[64].end 216.77346875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 217.41471875
transcript.pyannote[65].end 220.97534375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 221.78534375
transcript.pyannote[66].end 228.29909375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 228.60284375
transcript.pyannote[67].end 230.18909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 230.66159375
transcript.pyannote[68].end 232.38284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 232.53471875
transcript.pyannote[69].end 235.58909375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 236.09534375
transcript.pyannote[70].end 238.84596875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 238.91346875
transcript.pyannote[71].end 241.49534375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 241.78221875
transcript.pyannote[72].end 245.24159375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 245.54534375
transcript.pyannote[73].end 255.73784375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 255.40034375
transcript.pyannote[74].end 266.68971875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 261.20534375
transcript.pyannote[75].end 261.86346875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 262.13346875
transcript.pyannote[76].end 262.77471875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 266.48721875
transcript.pyannote[77].end 271.97159375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 271.97159375
transcript.pyannote[78].end 276.59534375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 277.15221875
transcript.pyannote[79].end 277.57409375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 277.16909375
transcript.pyannote[80].end 279.61596875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 279.64971875
transcript.pyannote[81].end 279.78471875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 279.78471875
transcript.pyannote[82].end 282.38346875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 280.42596875
transcript.pyannote[83].end 280.76346875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 282.38346875
transcript.pyannote[84].end 282.92346875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 282.92346875
transcript.pyannote[85].end 284.52659375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 282.97409375
transcript.pyannote[86].end 283.22721875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 284.96534375
transcript.pyannote[87].end 286.23096875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 287.59784375
transcript.pyannote[88].end 291.49596875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 294.17909375
transcript.pyannote[89].end 297.03096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 297.16596875
transcript.pyannote[90].end 297.84096875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 297.97596875
transcript.pyannote[91].end 299.27534375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 299.59596875
transcript.pyannote[92].end 308.75909375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 309.85596875
transcript.pyannote[93].end 331.99596875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 332.62034375
transcript.pyannote[94].end 334.03784375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 334.88159375
transcript.pyannote[95].end 335.62409375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 336.09659375
transcript.pyannote[96].end 338.03721875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 338.03721875
transcript.pyannote[97].end 338.27346875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 338.62784375
transcript.pyannote[98].end 338.99909375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 339.47159375
transcript.pyannote[99].end 340.75409375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 342.22221875
transcript.pyannote[100].end 345.00659375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 342.39096875
transcript.pyannote[101].end 343.82534375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 345.04034375
transcript.pyannote[102].end 345.59721875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 345.96846875
transcript.pyannote[103].end 348.02721875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 346.06971875
transcript.pyannote[104].end 347.35221875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 348.02721875
transcript.pyannote[105].end 354.40596875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 350.25471875
transcript.pyannote[106].end 351.14909375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 351.23346875
transcript.pyannote[107].end 351.77346875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 354.89534375
transcript.pyannote[108].end 370.75784375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 372.31034375
transcript.pyannote[109].end 372.91784375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 373.08659375
transcript.pyannote[110].end 386.35034375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 386.35034375
transcript.pyannote[111].end 386.48534375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 386.48534375
transcript.pyannote[112].end 394.04534375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 386.97471875
transcript.pyannote[113].end 388.74659375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 394.46721875
transcript.pyannote[114].end 396.74534375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 398.17971875
transcript.pyannote[115].end 401.26784375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 401.77409375
transcript.pyannote[116].end 407.03909375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 407.25846875
transcript.pyannote[117].end 414.05909375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 408.06846875
transcript.pyannote[118].end 408.55784375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 415.10534375
transcript.pyannote[119].end 422.54721875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 418.59846875
transcript.pyannote[120].end 419.32409375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 423.66096875
transcript.pyannote[121].end 424.21784375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 424.97721875
transcript.pyannote[122].end 427.15409375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 428.30159375
transcript.pyannote[123].end 451.90971875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 438.96659375
transcript.pyannote[124].end 439.00034375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 439.00034375
transcript.pyannote[125].end 439.05096875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 439.05096875
transcript.pyannote[126].end 439.13534375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 441.31221875
transcript.pyannote[127].end 441.32909375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 441.32909375
transcript.pyannote[128].end 441.37971875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 441.37971875
transcript.pyannote[129].end 441.90284375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 441.90284375
transcript.pyannote[130].end 443.03346875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 443.03346875
transcript.pyannote[131].end 443.33721875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 445.91909375
transcript.pyannote[132].end 447.26909375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 448.02846875
transcript.pyannote[133].end 448.85534375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 451.01534375
transcript.pyannote[134].end 452.36534375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 452.36534375
transcript.pyannote[135].end 454.17096875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 454.45784375
transcript.pyannote[136].end 454.79534375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 455.01471875
transcript.pyannote[137].end 458.06909375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 458.40659375
transcript.pyannote[138].end 461.71409375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 462.27096875
transcript.pyannote[139].end 467.08034375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 468.22784375
transcript.pyannote[140].end 473.03721875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 473.34096875
transcript.pyannote[141].end 482.85846875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 484.25909375
transcript.pyannote[142].end 485.84534375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 486.09846875
transcript.pyannote[143].end 488.96721875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 488.96721875
transcript.pyannote[144].end 497.03346875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 497.03346875
transcript.pyannote[145].end 504.03659375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 500.15534375
transcript.pyannote[146].end 500.93159375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 504.96471875
transcript.pyannote[147].end 511.15784375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 511.63034375
transcript.pyannote[148].end 513.89159375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 514.43159375
transcript.pyannote[149].end 515.22471875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 515.59596875
transcript.pyannote[150].end 531.05346875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 532.15034375
transcript.pyannote[151].end 536.63909375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 537.39846875
transcript.pyannote[152].end 538.09034375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 538.09034375
transcript.pyannote[153].end 538.19159375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 538.19159375
transcript.pyannote[154].end 540.36846875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 538.20846875
transcript.pyannote[155].end 538.79909375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 541.16159375
transcript.pyannote[156].end 542.54534375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 543.15284375
transcript.pyannote[157].end 544.78971875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 545.93721875
transcript.pyannote[158].end 547.23659375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 548.40096875
transcript.pyannote[159].end 550.56096875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 550.81409375
transcript.pyannote[160].end 567.97596875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 561.32721875
transcript.pyannote[161].end 564.51659375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 567.97596875
transcript.pyannote[162].end 573.03846875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 573.03846875
transcript.pyannote[163].end 585.03659375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 573.44346875
transcript.pyannote[164].end 574.25346875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 586.01534375
transcript.pyannote[165].end 593.42346875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 593.71034375
transcript.pyannote[166].end 608.66159375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 609.53909375
transcript.pyannote[167].end 614.23034375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 615.79971875
transcript.pyannote[168].end 619.19159375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 619.95096875
transcript.pyannote[169].end 620.84534375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 621.18284375
transcript.pyannote[170].end 633.60284375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 634.36221875
transcript.pyannote[171].end 639.37409375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 640.15034375
transcript.pyannote[172].end 646.09034375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 647.03534375
transcript.pyannote[173].end 656.62034375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 656.85659375
transcript.pyannote[174].end 658.44284375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 659.21909375
transcript.pyannote[175].end 664.12971875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 664.55159375
transcript.pyannote[176].end 671.40284375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 671.89221875
transcript.pyannote[177].end 673.59659375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 674.30534375
transcript.pyannote[178].end 676.41471875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 677.27534375
transcript.pyannote[179].end 679.03034375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 679.03034375
transcript.pyannote[180].end 679.35096875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 679.35096875
transcript.pyannote[181].end 683.72159375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 679.97534375
transcript.pyannote[182].end 680.19471875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 683.72159375
transcript.pyannote[183].end 684.31221875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 684.12659375
transcript.pyannote[184].end 686.40471875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 687.23159375
transcript.pyannote[185].end 688.95284375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 688.95284375
transcript.pyannote[186].end 689.96534375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 689.96534375
transcript.pyannote[187].end 729.31784375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 729.31784375
transcript.pyannote[188].end 731.35971875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 731.39346875
transcript.pyannote[189].end 735.07221875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 736.15221875
transcript.pyannote[190].end 738.19409375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 738.93659375
transcript.pyannote[191].end 739.40909375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 739.71284375
transcript.pyannote[192].end 740.28659375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 740.64096875
transcript.pyannote[193].end 740.87721875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 741.31596875
transcript.pyannote[194].end 743.44221875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 746.96909375
transcript.pyannote[195].end 747.34034375
transcript.whisperx[0].start 3.445
transcript.whisperx[0].end 15.098
transcript.whisperx[0].text 我請內政部長還有交通部次長還有法務部次長張文豪
transcript.whisperx[1].start 24.394
transcript.whisperx[1].end 29.877
transcript.whisperx[1].text 部長還有次長剛剛很多委員也都在請教這個獨家的問題我現在當然有拖曳快篩有什麼的不過
transcript.whisperx[2].start 37.438
transcript.whisperx[2].end 58.368
transcript.whisperx[2].text 其實有 我也要替第一線的警察同仁說一句話那其實啊齁 我們看到很多報章 報 報 報導啊齁也要很多啊 這個啊 獨家啊 被抓到之後啊啊其實啊 就很多無保請回的啊是不是有這種情況啊署長 你有沒有 你有沒有了解
transcript.whisperx[3].start 60.08
transcript.whisperx[3].end 79.573
transcript.whisperx[3].text 跟委員報告我們現在法務部的態度是針對於像是獨駕這個部分是零容忍我們要求我們所有的檢察官對這件事情是從嚴事實上我們不是啦你們就回答我有沒有這個問題我沒有說是你法務部的問題那是法院到法院要污包巡迴法院的部分確實會有這樣的狀況蛤有這樣的狀況到底有還沒有蛤有
transcript.whisperx[4].start 83.979
transcript.whisperx[4].end 103.826
transcript.whisperx[4].text 蛤 有啊有喔 你大聲一點嘛跟委員報告喔 不好意思我們的那個部分喔 就是說我們現在檢察官的部分我本來就回答我有或沒有就好現在目前的情況是有有嘛 對不對所以啊 這整個的配套啊 我覺得啊還必須要完善一點啦我必須說啊 這個獨駕現在啊 其實大家關心 確實
transcript.whisperx[5].start 111.648
transcript.whisperx[5].end 124.561
transcript.whisperx[5].text 在執行面上還是有很多細節我們要注意啦我想請問一下署長你第一線他如果拒絕 獨駕如果拒絕你你能怎麼樣
transcript.whisperx[6].start 125.925
transcript.whisperx[6].end 142.464
transcript.whisperx[6].text 獨駕如果拒絕,我們觀測他是有獨駕還是會逮捕啊?蛤?你逮捕啦,他拒絕你他拒絕逮捕還是會移送地檢署來做...但你要知道喔,現在的這一類的毒品啊
transcript.whisperx[7].start 143.425
transcript.whisperx[7].end 160.131
transcript.whisperx[7].text 他的大概三個小時之後啊大概兩個小時就會喪屍的那個對啊就驗不出來啊那我就跟你拖過這個時間啊你們第一線執行有沒有遇到這個困難當然會有會有啊有啊你逮捕他有什麼啊他就據測啊據檢驗啊兩個三個小時之後你能來哪兒所以據測據檢我們一給地檢組地檢組要做
transcript.whisperx[8].start 168.74
transcript.whisperx[8].end 174.494
transcript.whisperx[8].text 會做生壓啊這是一個很生壓的一個很好的要件那現在有多少案子這樣呢
transcript.whisperx[9].start 176.693
transcript.whisperx[9].end 198.468
transcript.whisperx[9].text 委員這個部分的數據資料我可能要再統計一下但是這個原則你拒絕反而就是可能是生涯喉嚨的一個要件我跟你講你們要這樣子做但我認為目前這個比例不高我所謂的數字是比例不高但這也不能怪罪於你們第一線也是很辛苦我點出這幾個問題是說其實你們這幾個部會
transcript.whisperx[10].start 204.557
transcript.whisperx[10].end 220.653
transcript.whisperx[10].text 對於這個問題啊你們不能各自為政啦你們要去開會要去處理啦對不對那比如說報委員比如說獨駕或什麼的如果確定了那要不要比照酒駕要不要扣車要不要什麼
transcript.whisperx[11].start 222.204
transcript.whisperx[11].end 238.343
transcript.whisperx[11].text 現在有嗎現在已經有整合在整合在做處理了包括各部位包括這個內政部法務部交通部衛福部已經包括這一些不管是人跟車從源頭處理比如講我想明天
transcript.whisperx[12].start 239.204
transcript.whisperx[12].end 255.534
transcript.whisperx[12].text 院會會做正式的這個宣布怎樣的一個結果這個我想因為政策院裡面會來做處理這個委員所講的我們從源頭對人跟車一定會做比較嚴厲的一個管控的制度
transcript.whisperx[13].start 255.874
transcript.whisperx[13].end 265.659
transcript.whisperx[13].text 你的意思是說我剛所說的你們明天的政策出來就是達到100分就是不會再有我說的這些狀況了應該會 應該是像委員所講的狀況這個我們都已經討論過而且這個會議都有次去開的啊我不管你們討論幾次 不管我現在要的是問你是結果
transcript.whisperx[14].start 277.222
transcript.whisperx[14].end 285.868
transcript.whisperx[14].text 明天的結果委員要問的應該都會出來都會出來喔對我們明天就看啦是 謝謝委員好不好好那再來喔那個我想請問一下這個交通部次長
transcript.whisperx[15].start 295.607
transcript.whisperx[15].end 307.978
transcript.whisperx[15].text 我想請問一下我對這個定點的測速或什麼的這個其實我都支持為了交通安全我都支持
transcript.whisperx[16].start 309.895
transcript.whisperx[16].end 337.696
transcript.whisperx[16].text 在我們訂定這個在我們這樣廣設這個科技執法什麼的情況之下配套我認為是有點不足啦我再強調安全我們都支持不過現在我們的一般省道鄉道如果沒有樹線標誌或標線法定最高時速是不是50公里而已鄉道的一般的道路上對
transcript.whisperx[17].start 339.56
transcript.whisperx[17].end 340.514
transcript.whisperx[17].text 就一般的道路啊
transcript.whisperx[18].start 342.267
transcript.whisperx[18].end 370.399
transcript.whisperx[18].text 你管它什麼鄉道、縣道,就一般的道路啊是不是50啊,也有40,甚至也有到60的沒有,我跟你講,這是你們的規定啦最高時速就是50啦那有設快慢車道分隔線的慢車道速限為40啦那未劃設車道線或行車分隔線的道路啊速限30啦
transcript.whisperx[19].start 373.513
transcript.whisperx[19].end 395.533
transcript.whisperx[19].text 市長騎腳踏車的時速大概多少你知道嗎騎腳踏車的大概在15最快到15啦有時候會到20啦沒有一般啦一般喔一般大概15到20啦對啊對啊就是15大概就講15到20啦一般15到20啦那你們的啊我們照你們這個規定啊速限30公里我跟你講騎腳踏車都會超速欸
transcript.whisperx[20].start 398.323
transcript.whisperx[20].end 426.946
transcript.whisperx[20].text 會不會 我如果騎快一點 我騎腳踏車都會超速欸騎腳踏車如果是騎一般的人力的腳踏車要騎到二十五三我體力好啊 有沒有可能超速照你們的規定三十公里 我騎腳踏車會不會超速有可能 但是要到那種程度的不太容易我跟你講 我開車我也不可能一路飆啊對不對你騎腳踏車都會超速喔
transcript.whisperx[21].start 428.359
transcript.whisperx[21].end 457.819
transcript.whisperx[21].text 對不對你剛也講有可能啊有可能但是那個真的要非常非常努力啦真的要非常努力我跟你講啦不用非常努力啦30公里真的要非常努力30公里我不認為要非常努力真的要非常努力騎過你騎過那是我們不要講說個人怎麼樣個人的體力不一樣啦但30是不是很有可能我就超速了會發生會發生嘛對不對是好嘛你就承認會發生了嘛是所以
transcript.whisperx[22].start 458.519
transcript.whisperx[22].end 482.549
transcript.whisperx[22].text 我在這邊 我要講 我非常支持但你全國的這個速限這個什麼 你也要相對去檢討啊你一般道路你用個30 你就是限人民於不義啊我稍微騎個摩托車齁 你們又科技執法 點到點哇 那罰單當然開很多啊 當然引起很多民怨啊
transcript.whisperx[23].start 484.335
transcript.whisperx[23].end 503.603
transcript.whisperx[23].text 是不是會造成這樣是委員講到的這個幾個面向當然設置測速照相的點的選擇還有最後速限的規範這是要整體的來看那這都有檢討的空間有檢討的空間對嘛你就這一句話我就是要問我跟你講
transcript.whisperx[24].start 505.146
transcript.whisperx[24].end 530.845
transcript.whisperx[24].text 非常支持因為你太多的超速或者飆車什麼的這種我們絕對不允許但如果你的速限過低那你就是限人民於不義了嘛對不對啊我連騎腳踏車快一點我都可能啊我跟你講我們小時候我們念國中我們騎腳踏車上學我跟你講我的時數一定超過30為什麼因為都拖到最後一刻我才要趕去學校啊
transcript.whisperx[25].start 532.199
transcript.whisperx[25].end 539.289
transcript.whisperx[25].text 我們同學每個都這樣啊 虛偽有一點頭我們大正咖是不是都這樣對不對 每個一定都是超過30啦為了趕著上課嘛 下課要趕著去玩嘛一定都超過30
transcript.whisperx[26].start 548.462
transcript.whisperx[26].end 565.193
transcript.whisperx[26].text 那你這樣的速限之下,我真的覺得檢討一下啦,啊多久時間可以檢討?我跟委員報告一下,這個速限它的設置其實是最後要回歸到,如果是像省道啊我知道啦,這個還有縣市政府什麼的啦,我只問你什麼,要多久檢討?我想這樣啦,我們可以再請相關的單位來盡速的一個檢討啦
transcript.whisperx[27].start 574.2
transcript.whisperx[27].end 584.297
transcript.whisperx[27].text 一個月內我們還請各相關單位來做檢討一個月內請他們來嘛我覺得不對啦如果你覺得很重視我跟你講三天就可以發文了就可以請他們來
transcript.whisperx[28].start 586.172
transcript.whisperx[28].end 613.948
transcript.whisperx[28].text 對不對 如果你覺得這個問題很重視啊也不用你親自去發文啊三天就可以發文啊 對不對然後一個月就可以出部啊半年就可以把台灣的問題解決了啊我在行政機關也十幾年啊這個事就要做跟不做而已啊發文還要一個禮拜我聽到我都覺得不是我要生氣欸啊我今天立法委員在這邊質詢你你要跟我講發文要一個禮拜
transcript.whisperx[29].start 616.148
transcript.whisperx[29].end 633.219
transcript.whisperx[29].text 發文我跟你講回去交代下午就可以發文了啦是不是我們立即來處理我跟你講啦齁全台灣太多啦我也不敢讓你們齁做到不可能做到的事啦我覺得啦半年
transcript.whisperx[30].start 634.434
transcript.whisperx[30].end 645.604
transcript.whisperx[30].text 半年的時間把台灣這些不符合人情 不符合比例的速限把它檢討一下也不是要你調高很多
transcript.whisperx[31].start 647.133
transcript.whisperx[31].end 676.244
transcript.whisperx[31].text 是調高到合理喔這樣可不可以可以可以嗎我們來請各個道路主管機關來做相關的檢討好 那個署長最後他們如果有這個合理的調整其實他們也要問你們第一線交通隊的意見是對不對對他也要問你們因為你們可能比他們更清楚對我們要用一個合理的你覺得我剛說的30公里合不合理
transcript.whisperx[32].start 677.469
transcript.whisperx[32].end 702.05
transcript.whisperx[32].text 有些路亂真的是很不合理啦對嘛很不合理嘛而且造成第一線警察執行的困擾沒有錯啊我已經這麼慢了你要給我開單你們是不是也遇過這一種有啊太多了對嘛太多了嘛所以拜託署長你跟你們辛苦一點請我們的交通隊然後提供數據給他們合理的速限是多少是
transcript.whisperx[33].start 702.33
transcript.whisperx[33].end 730.951
transcript.whisperx[33].text 直線彎道什麼的我們好好檢討把半年這樣子把它整理起來我相信這樣子也可以減少我們第一線的遠景很多的紛爭而且他們的執法也不用每天在那邊跟人家吵架啊你吵個半個小時你可以多做很多事情了對不對天氣這麼熱還要吵個半個小時很划不來我也覺得一個國家不應該這樣所以署長你們這邊可不可以配合可以全力配合
transcript.whisperx[34].start 731.431
transcript.whisperx[34].end 742.722
transcript.whisperx[34].text 好 全力配合 那我們就半個小時 劉部長可以吧半年嘛 部長 部長 可以嗎可以 可以 沒問題好 半年 好 謝謝