iVOD / 170142

Field Value
IVOD_ID 170142
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/170142
日期 2026-06-25
會議資料.會議代碼 委員會-11-5-23-20
會議資料.會議代碼:str 第11屆第5會期交通委員會第20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 20
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5會期交通委員會第20次全體委員會議
影片種類 Clip
開始時間 2026-06-25T10:09:54+08:00
結束時間 2026-06-25T10:18:47+08:00
影片長度 00:08:53
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5296dbcedce5686ec413328e36d111d4ce82a3a0a2afbeedb34cba3dd815ff04e744949ebbc1455f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 許智傑
委員發言時間 10:09:54 - 10:18:47
會議時間 2026-06-25T09:00:00+08:00
會議名稱 立法院第11屆第5會期交通委員會第20次全體委員會議(事由:審查一、委員羅美玲等18人擬具「道路交通管理處罰條例第二十一條條文修正草案」案、二、台灣民眾黨黨團擬具「道路交通管理處罰條例部分條文修正草案」案、三、委員張智倫等19人、四、台灣民眾黨黨團、五、委員郭昱晴等17人、六、委員林思銘等22人、七、委員洪孟楷等21人、八、委員黃秀芳等20人、九、委員林倩綺等22人及十、委員邱鎮軍等20人分別擬具「道路交通管理處罰條例第三十五條條文修正草案」案、十一、委員傅崐萁等18人擬具「道路交通管理處罰條例第三十五條、第三十五條之一及第六十七條條文修正草案」案、十二、委員王義川等17人擬具「道路交通管理處罰條例第三十五條、第三十五條之二及第六十七條條文修正草案」案、十三、委員涂權吉等19人擬具「道路交通管理處罰條例第三十五條及第三十五條之三條文修正草案」案及十四、委員洪孟楷等16人擬具「道路交通管理處罰條例第六十七條條文修正草案」案。 【本日會議僅進行詢答;第二案、第七案至第十案、第十二案及第十三案如未經各黨團簽署不復議同意書,則不予審查;第六案及第十一案如經院會復議,則不予審查】【6月24日及25日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 1.70159375
transcript.pyannote[0].end 3.79409375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 4.24971875
transcript.pyannote[1].end 4.87409375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 4.87409375
transcript.pyannote[2].end 4.92471875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 11.47221875
transcript.pyannote[3].end 12.16409375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 12.70409375
transcript.pyannote[4].end 20.50034375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 20.95596875
transcript.pyannote[5].end 23.60534375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 24.22971875
transcript.pyannote[6].end 27.89159375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 28.44846875
transcript.pyannote[7].end 29.88284375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 30.76034375
transcript.pyannote[8].end 36.91971875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 37.57784375
transcript.pyannote[9].end 40.36221875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 40.61534375
transcript.pyannote[10].end 43.93971875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 44.63159375
transcript.pyannote[11].end 45.35721875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 45.52596875
transcript.pyannote[12].end 52.02284375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 52.76534375
transcript.pyannote[13].end 55.07721875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 55.48221875
transcript.pyannote[14].end 58.33409375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 58.53659375
transcript.pyannote[15].end 61.30409375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 61.54034375
transcript.pyannote[16].end 64.22346875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 64.88159375
transcript.pyannote[17].end 67.53096875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 68.13846875
transcript.pyannote[18].end 73.80846875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 75.69846875
transcript.pyannote[19].end 77.55471875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 77.72346875
transcript.pyannote[20].end 81.40221875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 81.08159375
transcript.pyannote[21].end 85.72221875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 82.39784375
transcript.pyannote[22].end 82.81971875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 82.98846875
transcript.pyannote[23].end 83.19096875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 83.57909375
transcript.pyannote[24].end 85.57034375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 85.58721875
transcript.pyannote[25].end 88.03409375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 86.90346875
transcript.pyannote[26].end 87.37596875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 88.23659375
transcript.pyannote[27].end 90.49784375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 89.53596875
transcript.pyannote[28].end 92.28659375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 92.60721875
transcript.pyannote[29].end 95.23971875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 95.03721875
transcript.pyannote[30].end 97.77096875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 98.00721875
transcript.pyannote[31].end 98.58096875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 99.47534375
transcript.pyannote[32].end 101.23034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 101.44971875
transcript.pyannote[33].end 101.90534375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 102.07409375
transcript.pyannote[34].end 102.41159375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 103.81221875
transcript.pyannote[35].end 114.13971875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 110.98409375
transcript.pyannote[36].end 112.41846875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 114.79784375
transcript.pyannote[37].end 120.82221875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 121.56471875
transcript.pyannote[38].end 122.13846875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 122.98221875
transcript.pyannote[39].end 124.46721875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 126.03659375
transcript.pyannote[40].end 131.75721875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 130.28909375
transcript.pyannote[41].end 134.54159375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 134.96346875
transcript.pyannote[42].end 136.75221875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 137.32596875
transcript.pyannote[43].end 138.52409375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 140.12721875
transcript.pyannote[44].end 141.17346875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 142.01721875
transcript.pyannote[45].end 143.95784375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 143.28284375
transcript.pyannote[46].end 144.10971875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 144.10971875
transcript.pyannote[47].end 147.67034375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 147.72096875
transcript.pyannote[48].end 149.22284375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 149.86409375
transcript.pyannote[49].end 152.81721875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 153.88034375
transcript.pyannote[50].end 156.02346875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 156.49596875
transcript.pyannote[51].end 160.15784375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 160.84971875
transcript.pyannote[52].end 162.62159375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 163.12784375
transcript.pyannote[53].end 164.10659375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 164.54534375
transcript.pyannote[54].end 167.16096875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 168.51096875
transcript.pyannote[55].end 170.70471875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 171.56534375
transcript.pyannote[56].end 172.52721875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 173.82659375
transcript.pyannote[57].end 175.37909375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 176.84721875
transcript.pyannote[58].end 177.69096875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 179.31096875
transcript.pyannote[59].end 179.83409375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 181.26846875
transcript.pyannote[60].end 182.34846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 184.35659375
transcript.pyannote[61].end 187.74846875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 185.41971875
transcript.pyannote[62].end 188.77784375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 189.63846875
transcript.pyannote[63].end 191.25846875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 191.25846875
transcript.pyannote[64].end 195.12284375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 195.20721875
transcript.pyannote[65].end 204.72471875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 197.26596875
transcript.pyannote[66].end 197.85659375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 204.18471875
transcript.pyannote[67].end 207.67784375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 206.37846875
transcript.pyannote[68].end 207.18846875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 208.13346875
transcript.pyannote[69].end 208.16721875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 208.16721875
transcript.pyannote[70].end 228.80534375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 208.23471875
transcript.pyannote[71].end 211.30596875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 216.97596875
transcript.pyannote[72].end 217.36409375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 219.22034375
transcript.pyannote[73].end 219.77721875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 222.29159375
transcript.pyannote[74].end 224.29971875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 225.44721875
transcript.pyannote[75].end 226.27409375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 228.80534375
transcript.pyannote[76].end 228.83909375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 228.83909375
transcript.pyannote[77].end 228.85596875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 228.85596875
transcript.pyannote[78].end 230.18909375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 230.18909375
transcript.pyannote[79].end 230.27346875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 230.61096875
transcript.pyannote[80].end 240.38159375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 234.30659375
transcript.pyannote[81].end 234.96471875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 235.67346875
transcript.pyannote[82].end 236.53409375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 238.39034375
transcript.pyannote[83].end 239.20034375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 239.94284375
transcript.pyannote[84].end 242.96346875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 243.40221875
transcript.pyannote[85].end 243.67221875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 244.54971875
transcript.pyannote[86].end 246.45659375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 247.73909375
transcript.pyannote[87].end 249.44346875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 250.47284375
transcript.pyannote[88].end 252.29534375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 254.53971875
transcript.pyannote[89].end 255.26534375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 255.67034375
transcript.pyannote[90].end 258.40409375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 259.51784375
transcript.pyannote[91].end 261.45846875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 262.21784375
transcript.pyannote[92].end 264.04034375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 264.04034375
transcript.pyannote[93].end 264.39471875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 264.39471875
transcript.pyannote[94].end 264.54659375
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 264.54659375
transcript.pyannote[95].end 267.04409375
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 267.12846875
transcript.pyannote[96].end 272.86596875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 267.14534375
transcript.pyannote[97].end 267.60096875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 269.60909375
transcript.pyannote[98].end 270.06471875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 272.27534375
transcript.pyannote[99].end 273.47346875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 273.69284375
transcript.pyannote[100].end 274.48596875
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 274.51971875
transcript.pyannote[101].end 275.05971875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 275.49846875
transcript.pyannote[102].end 276.05534375
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 276.05534375
transcript.pyannote[103].end 276.24096875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 276.24096875
transcript.pyannote[104].end 276.27471875
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 276.27471875
transcript.pyannote[105].end 276.40971875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 276.40971875
transcript.pyannote[106].end 277.42221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 277.77659375
transcript.pyannote[107].end 279.46409375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 279.91971875
transcript.pyannote[108].end 281.25284375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 281.82659375
transcript.pyannote[109].end 283.85159375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 284.07096875
transcript.pyannote[110].end 284.74596875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 285.28596875
transcript.pyannote[111].end 285.97784375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 286.83846875
transcript.pyannote[112].end 286.87221875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 286.87221875
transcript.pyannote[113].end 290.16284375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 290.33159375
transcript.pyannote[114].end 294.83721875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 294.83721875
transcript.pyannote[115].end 295.14096875
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 295.14096875
transcript.pyannote[116].end 295.17471875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 295.17471875
transcript.pyannote[117].end 302.31284375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 301.57034375
transcript.pyannote[118].end 301.87409375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 302.31284375
transcript.pyannote[119].end 302.36346875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 302.81909375
transcript.pyannote[120].end 310.19346875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 310.49721875
transcript.pyannote[121].end 323.27159375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 324.13221875
transcript.pyannote[122].end 326.20784375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 326.76471875
transcript.pyannote[123].end 333.12659375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 332.94096875
transcript.pyannote[124].end 339.55596875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 339.69096875
transcript.pyannote[125].end 342.66096875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 343.04909375
transcript.pyannote[126].end 344.80409375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 344.92221875
transcript.pyannote[127].end 357.91596875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 358.65846875
transcript.pyannote[128].end 366.47159375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 366.91034375
transcript.pyannote[129].end 414.04221875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 411.69659375
transcript.pyannote[130].end 413.56971875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 414.04221875
transcript.pyannote[131].end 414.83534375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 415.51034375
transcript.pyannote[132].end 418.27784375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 419.98221875
transcript.pyannote[133].end 421.90596875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 423.77909375
transcript.pyannote[134].end 429.02721875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 429.26346875
transcript.pyannote[135].end 429.28034375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 429.28034375
transcript.pyannote[136].end 434.84909375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 429.29721875
transcript.pyannote[137].end 429.68534375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 434.86596875
transcript.pyannote[138].end 437.81909375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 438.24096875
transcript.pyannote[139].end 447.08346875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 447.35346875
transcript.pyannote[140].end 454.37346875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 454.84596875
transcript.pyannote[141].end 459.94221875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 461.03909375
transcript.pyannote[142].end 463.08096875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 463.51971875
transcript.pyannote[143].end 466.15221875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 466.54034375
transcript.pyannote[144].end 468.83534375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 469.22346875
transcript.pyannote[145].end 477.18846875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 479.19659375
transcript.pyannote[146].end 489.50721875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 483.76971875
transcript.pyannote[147].end 483.92159375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 488.34284375
transcript.pyannote[148].end 500.57721875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 500.74596875
transcript.pyannote[149].end 502.73721875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 503.39534375
transcript.pyannote[150].end 515.47784375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 505.96034375
transcript.pyannote[151].end 507.88409375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 507.96846875
transcript.pyannote[152].end 508.37346875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 509.26784375
transcript.pyannote[153].end 510.09471875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 515.84909375
transcript.pyannote[154].end 521.06346875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 520.72596875
transcript.pyannote[155].end 523.72971875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 522.51471875
transcript.pyannote[156].end 528.23534375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 528.38721875
transcript.pyannote[157].end 529.50096875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 528.97784375
transcript.pyannote[158].end 532.97721875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 532.03221875
transcript.pyannote[159].end 532.09971875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 532.97721875
transcript.pyannote[160].end 533.97284375
transcript.whisperx[0].start 2.001
transcript.whisperx[0].end 29.599
transcript.whisperx[0].text 好 謝謝主席 我們請次長好 請次長委員好市長好 我想每一個委員幾乎都會關心獨家的問題那最近事實上社會上對獨家的厭惡度真的是提高很多那你看獨家的這個數目字事實上真的是增加得非常的快
transcript.whisperx[1].start 31.139
transcript.whisperx[1].end 44.964
transcript.whisperx[1].text 前年是2131,去年是8659今年第一劑就已經3223那到5月的數目字是6730所以這麼多件的獨駕那前一陣子又有桃園媽媽還載著女兒然後發生了車禍
transcript.whisperx[2].start 55.618
transcript.whisperx[2].end 73.418
transcript.whisperx[2].text 所以獨駕、酒駕其實我們幾乎都是零容忍啦那現在交通部定了這一個規定你們新研擬的方案是他惡意拒車的時候可以調扣嘛調扣他的車子嘛 對不對
transcript.whisperx[3].start 76.045
transcript.whisperx[3].end 101.634
transcript.whisperx[3].text 他如果是就是惡意拒策的話我們就吊銷他的價格吊銷執照然後還有吊扣車子車輛不是吊扣就是沒入車輛沒入是怎樣 沒收沒收這是私人財產就直接把它沒收所以說法律要有明文規定要做這個這個你們有查過是OK吧OK
transcript.whisperx[4].start 104.074
transcript.whisperx[4].end 124.159
transcript.whisperx[4].text 這個我們在這個處罰條例沒入不是不是這次才有類似像這樣的規定在處罰條例就直接把車子沒收有車輛沒入還是那如果首次獨駕跟連續壘犯他基本上就是罰款之外就是吊銷駕照罰款的額度也會不一樣
transcript.whisperx[5].start 126.072
transcript.whisperx[5].end 147.104
transcript.whisperx[5].text 他累犯他的處罰的額度會不一樣我們時數超過40的車子是吊扣半年嗎那個牌照吊扣半年超數嘛對 那是吊扣 完了半年之後車債還給他對 那超過40跟獨駕是誰比較嚴重
transcript.whisperx[6].start 154.723
transcript.whisperx[6].end 182.203
transcript.whisperx[6].text 獨駕相對嚴重很多是啊 所以我在想說是不是獨駕有沒有機會防超速超過40不要調扣啊我們現在獨駕是直接沒入啊不是啊 你獨駕是第三次這是惡意你第一次跟第二次來有沒入嗎第一次就沒入了第一次就沒入了
transcript.whisperx[7].start 185.521
transcript.whisperx[7].end 205.556
transcript.whisperx[7].text 所以只要是獨駕車子通通沒收那是蠻嚴重的很嚴重很嚴重意思就是說獨駕是無法容忍的啦就是這樣講所以你的駕照我也要做最嚴厲的處分就是吊銷車輛就是要修起來沒錄所以只要是獨駕的車子
transcript.whisperx[8].start 208.258
transcript.whisperx[8].end 230.004
transcript.whisperx[8].text 所以我們檢測出來就直接沒收只有在酒駕也好或什麼只有在致人重傷或死亡的時候才沒入那個車輛現在是獨駕是不因為獨駕實在太危險每次發生的事故幾乎都會有人死亡所以只要獨駕車子就沒收未來的修法是朝這個方向這大概什麼時候可以完成
transcript.whisperx[9].start 230.843
transcript.whisperx[9].end 258.003
transcript.whisperx[9].text 我們已經把這個修正草案送進大院來了所以我希望如果可以進行這次的審查 禁訴來讓大家共同討論那我們再拜託召委 我們就盡快排好那再來呢 我們的那個交通公園交通公園現在目前桃園已經做好了 已經開幕了嘛 對不對
transcript.whisperx[10].start 259.588
transcript.whisperx[10].end 285.542
transcript.whisperx[10].text 那鳳山這個已經做好了嗎鳳山已經做好了現在已經在規劃要舉辦正式開幕的典禮大概什麼時候八月八月好我想是這樣啦我們就是到時候請部長我們是不是開一個那個就是考察嗎
transcript.whisperx[11].start 287.592
transcript.whisperx[11].end 309.045
transcript.whisperx[11].text 我們就考察就請部長一起下去目前大概會規劃舉辦一個啟用典禮會規劃舉辦一個啟用典禮看到時候是不是併著交委會的考察行程這個我們都可以配合辦理這個我是這樣建議啦就是這交通教育其實跟品德也都有很大的關係
transcript.whisperx[12].start 310.706
transcript.whisperx[12].end 322.312
transcript.whisperx[12].text 那我們交通教育其實應該是從小開始做所以上一次有問過就是我們交通部跟教育部目前有對這個交通教育有做一個聯繫了嗎
transcript.whisperx[13].start 324.201
transcript.whisperx[13].end 344.357
transcript.whisperx[13].text 有 我們在這個 整個道安的體系裡頭 教育是一個很重要的一環所以我們在那裡頭有相當的一個聯繫對 我是建議就是說 我們就是交通部 這個交通公園新北也有 台北也有嘛新竹 然後桃園 高雄 高雄在我們鳳山
transcript.whisperx[14].start 345.157
transcript.whisperx[14].end 364.323
transcript.whisperx[14].text 那現在就是說如果是各地縣市政府教育局去辦校外教學那當然這個我們都會盡量去鼓勵那如果說教育部能夠也有所作為的話是不是可以請各地的教育局動的機會會比較大那這個部分交通部跟教育部聯繫的狀況如何
transcript.whisperx[15].start 367.92
transcript.whisperx[15].end 391.529
transcript.whisperx[15].text 我簡單先跟委員報告一下有關委員剛才特別提到的交通公園等等的教育部要扮演很重要或是當地的教育主管機關要扮演很重要的角色這一個我記得這個在桃園監理站或是高雄所他們的那個交通公園等等的都有達到這樣的都會跟當地的縣市政府合作
transcript.whisperx[16].start 391.949
transcript.whisperx[16].end 417.787
transcript.whisperx[16].text 然後透過縣市政府的教育單位來有一點是鼓勵這些校外教學或者是小學以上都要到這一個的交通公園去做一個上課都有這樣的一個機制那委員特別提到要跟教育部來真正的類似讓更緊密的合作這部分我想我們後續不舉個最簡單的例子你看日本小孩子過馬路是不是看到他們都會舉手
transcript.whisperx[17].start 420.314
transcript.whisperx[17].end 446.325
transcript.whisperx[17].text 臺灣小孩子你有看過幾個棘手我的子女會棘手而且會叫我說阿伯你也要棘手對啊 這個其實是很簡單的概念因為就是說他那個小孩子的視角小孩子的視角跟我們大人的視角不一樣那個大人視角用眼睛的餘光他可以看很寬小孩子視角就是比較窄他沒有辦法像我們看那麼寬
transcript.whisperx[18].start 447.612
transcript.whisperx[18].end 476.772
transcript.whisperx[18].text 那再來就是說小孩子事實上因為他身高都比較矮嘛所以我們其實你看日本小孩子你去日本考察一下你注意看一下他們幾乎每個小孩子過馬路就會舉手那個當然就增加高度嘛增加高度讓人家比較容易看到他這個其實是一個很簡單的交通教育啦但是你台灣的小孩子是你的孩子會舉手一般的你可以在路上看大部分的小孩子都不會
transcript.whisperx[19].start 479.975
transcript.whisperx[19].end 501.947
transcript.whisperx[19].text 尤其是幼稚園 幼稚園現在也因為這個有在推廣所以看到有些幼稚園帶出去的時候那個整隊的幼稚園他們也舉手是的 所以我就說這個其實就是交通安全教育嘛這從小扎根嘛所以就是說我們交通部如果更重視跟教育部有更重視的話我們上馬路就可以看得到啦其實這很容易測試啦
transcript.whisperx[20].start 503.656
transcript.whisperx[20].end 527.764
transcript.whisperx[20].text 是不是就是交通部也希望說這些多做一下跟教育部多聯繫那做一下共同的宣導這個其實保護孩子的安全是我們非常重要的職責這個部分是不是請交通部也跟教育部能夠多保持聯繫是 我們來如何加強那我們要測成果很簡單去馬路走一走看看小朋友有沒有舉手就知道了 好不好
transcript.whisperx[21].start 529.286
transcript.whisperx[21].end 531.169
transcript.whisperx[21].text 希望說交通部這部分也能夠多加強