iVOD / 157020

Field Value
IVOD_ID 157020
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157020
日期 2024-11-18
會議資料.會議代碼 委員會-11-2-23-10
會議資料.會議代碼:str 第11屆第2會期交通委員會第10次全體委員會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 10
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2會期交通委員會第10次全體委員會議
影片種類 Clip
開始時間 2024-11-18T11:08:24+08:00
結束時間 2024-11-18T11:20:13+08:00
影片長度 00:11:49
支援功能[0] ai-transcript
支援功能[1] gazette
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/37ff27132e477e870c26b370b16c5da8117a57b012903f1cd5656bc25be71a67efb3babcbf3bc8885ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林俊憲
委員發言時間 11:08:24 - 11:20:13
會議時間 2024-11-18T09:00:00+08:00
會議名稱 立法院第11屆第2會期交通委員會第10次全體委員會議(事由:一、邀請交通部部長陳世凱、交通部公路局局長、法務部及內政部警政署就「偽變造車牌或其它隱匿車牌方式之查緝與防制暨如何有效杜絕無照駕駛猖獗之亂象」進行專題報告,並備質詢。 二、審查(一)委員洪孟楷等24人、(二)委員黃健豪等17人、(三)委員林俊憲等17人、(四)委員王鴻薇等18人分別擬具「道路交通管理處罰條例第十二條條文修正草案」案、(五)委員鍾佳濱等19人、(六)委員許宇甄等17人、(七)委員陳素月等20人分別擬具「道路交通管理處罰條例第十二條及第十二條之一條文修正草案」案、(八)委員林德福等16人擬具「道路交通管理處罰條例第十二條及第十三條條文修正草案」案、(九)委員徐富癸等19人擬具「道路交通管理處罰條例第十二條及第十五條條文修正草案」案及(十)委員林思銘等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。【第(十)案各黨團若未提出不復議同意書,則不予審查】 三、審查(一)委員傅崐萁等20人、(二)委員陳雪生等29人分別擬具「發展觀光條例第二條及第七十條之二條文修正草案」案、(三)委員許宇甄等20人擬具「發展觀光條例第四條、第五十三條及第七十條之二條文修正草案」案、(四)委員林倩綺等21人擬具「發展觀光條例第三十六條及第六十條條文修正草案」案、(五)委員王美惠等16人擬具「發展觀光條例部分條文修正草案」案、(六)委員伍麗華Saidhai‧Tahovecahe等20人擬具「發展觀光條例第五十五條、第五十五條之一及第五十五條之三條文修正草案」案及(七)委員游顥等38人擬具「發展觀光條例第七十條之二條文修正草案」案。【11月18日、20日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 2.51159375
transcript.pyannote[0].end 5.29596875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 5.73471875
transcript.pyannote[1].end 6.46034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 12.04596875
transcript.pyannote[2].end 12.45096875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 12.87284375
transcript.pyannote[3].end 15.15096875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 15.15096875
transcript.pyannote[4].end 15.55596875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 15.92721875
transcript.pyannote[5].end 23.95971875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 24.87096875
transcript.pyannote[6].end 33.37596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 34.03409375
transcript.pyannote[7].end 34.21971875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 34.21971875
transcript.pyannote[8].end 37.05471875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 37.56096875
transcript.pyannote[9].end 38.74221875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 39.18096875
transcript.pyannote[10].end 39.95721875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 41.15534375
transcript.pyannote[11].end 41.61096875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 42.30284375
transcript.pyannote[12].end 45.30659375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 45.89721875
transcript.pyannote[13].end 52.66409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 53.72721875
transcript.pyannote[14].end 55.83659375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 57.15284375
transcript.pyannote[15].end 57.97971875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 59.39721875
transcript.pyannote[16].end 64.12221875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 65.10096875
transcript.pyannote[17].end 66.99096875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 67.76721875
transcript.pyannote[18].end 72.42471875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 73.69034375
transcript.pyannote[19].end 76.55909375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 77.20034375
transcript.pyannote[20].end 77.94284375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 78.39846875
transcript.pyannote[21].end 79.22534375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 79.63034375
transcript.pyannote[22].end 83.15721875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 83.54534375
transcript.pyannote[23].end 85.99221875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 87.73034375
transcript.pyannote[24].end 88.03409375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 88.96221875
transcript.pyannote[25].end 90.29534375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 90.64971875
transcript.pyannote[26].end 94.69971875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 95.57721875
transcript.pyannote[27].end 97.51784375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 98.22659375
transcript.pyannote[28].end 99.28971875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 100.15034375
transcript.pyannote[29].end 100.72409375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 101.24721875
transcript.pyannote[30].end 102.27659375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 102.56346875
transcript.pyannote[31].end 105.31409375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 105.68534375
transcript.pyannote[32].end 106.88346875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 106.98471875
transcript.pyannote[33].end 110.71409375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 107.30534375
transcript.pyannote[34].end 107.33909375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 111.30471875
transcript.pyannote[35].end 112.19909375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 112.95846875
transcript.pyannote[36].end 114.96659375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 115.84409375
transcript.pyannote[37].end 116.94096875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 117.70034375
transcript.pyannote[38].end 119.70846875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 119.92784375
transcript.pyannote[39].end 121.96971875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 122.67846875
transcript.pyannote[40].end 123.47159375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 124.68659375
transcript.pyannote[41].end 125.04096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 125.68221875
transcript.pyannote[42].end 127.13346875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 127.69034375
transcript.pyannote[43].end 128.19659375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 130.52534375
transcript.pyannote[44].end 131.33534375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 132.16221875
transcript.pyannote[45].end 132.56721875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 132.97221875
transcript.pyannote[46].end 133.00596875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 133.00596875
transcript.pyannote[47].end 133.02284375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 133.02284375
transcript.pyannote[48].end 133.69784375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 133.03971875
transcript.pyannote[49].end 134.64284375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 133.86659375
transcript.pyannote[50].end 133.90034375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 133.91721875
transcript.pyannote[51].end 133.93409375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 133.95096875
transcript.pyannote[52].end 136.68471875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 135.08159375
transcript.pyannote[53].end 135.36846875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 137.30909375
transcript.pyannote[54].end 141.56159375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 142.13534375
transcript.pyannote[55].end 144.78471875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 146.79284375
transcript.pyannote[56].end 147.77159375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 148.37909375
transcript.pyannote[57].end 148.51409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 148.88534375
transcript.pyannote[58].end 150.03284375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 150.13409375
transcript.pyannote[59].end 150.91034375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 152.68221875
transcript.pyannote[60].end 153.52596875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 153.94784375
transcript.pyannote[61].end 156.46221875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 156.90096875
transcript.pyannote[62].end 157.94721875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 158.36909375
transcript.pyannote[63].end 159.75284375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 160.59659375
transcript.pyannote[64].end 161.42346875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 161.98034375
transcript.pyannote[65].end 162.45284375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 162.94221875
transcript.pyannote[66].end 165.76034375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 166.09784375
transcript.pyannote[67].end 169.70909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 170.85659375
transcript.pyannote[68].end 171.37971875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 173.05034375
transcript.pyannote[69].end 173.69159375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 174.13034375
transcript.pyannote[70].end 175.04159375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 175.61534375
transcript.pyannote[71].end 176.34096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 177.58971875
transcript.pyannote[72].end 178.87221875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 180.01971875
transcript.pyannote[73].end 181.16721875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 181.48784375
transcript.pyannote[74].end 183.56346875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 184.96409375
transcript.pyannote[75].end 187.49534375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 188.38971875
transcript.pyannote[76].end 189.97596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 189.97596875
transcript.pyannote[77].end 190.00971875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 190.00971875
transcript.pyannote[78].end 190.06034375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 190.71846875
transcript.pyannote[79].end 192.89534375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 194.24534375
transcript.pyannote[80].end 195.42659375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 197.43471875
transcript.pyannote[81].end 197.83971875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 198.22784375
transcript.pyannote[82].end 200.43846875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 200.97846875
transcript.pyannote[83].end 202.59846875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 203.50971875
transcript.pyannote[84].end 204.21846875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 205.24784375
transcript.pyannote[85].end 205.82159375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 206.36159375
transcript.pyannote[86].end 207.82971875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 208.96034375
transcript.pyannote[87].end 209.70284375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 210.71534375
transcript.pyannote[88].end 211.76159375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 213.44909375
transcript.pyannote[89].end 213.95534375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 213.97221875
transcript.pyannote[90].end 213.98909375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 214.86659375
transcript.pyannote[91].end 216.52034375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 217.17846875
transcript.pyannote[92].end 219.23721875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 219.97971875
transcript.pyannote[93].end 220.80659375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 221.44784375
transcript.pyannote[94].end 223.72596875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 224.41784375
transcript.pyannote[95].end 226.96596875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 227.16846875
transcript.pyannote[96].end 227.74221875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 228.18096875
transcript.pyannote[97].end 228.94034375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 230.15534375
transcript.pyannote[98].end 231.45471875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 232.24784375
transcript.pyannote[99].end 232.80471875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 233.44596875
transcript.pyannote[100].end 236.93909375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 237.83346875
transcript.pyannote[101].end 239.21721875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 240.55034375
transcript.pyannote[102].end 241.32659375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 241.69784375
transcript.pyannote[103].end 243.52034375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 244.90409375
transcript.pyannote[104].end 247.26659375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 247.82346875
transcript.pyannote[105].end 248.32971875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 249.39284375
transcript.pyannote[106].end 250.16909375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 251.02971875
transcript.pyannote[107].end 252.63284375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 253.72971875
transcript.pyannote[108].end 255.73784375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 256.07534375
transcript.pyannote[109].end 257.57721875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 257.96534375
transcript.pyannote[110].end 259.31534375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 261.15471875
transcript.pyannote[111].end 262.03221875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 262.30221875
transcript.pyannote[112].end 264.46221875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 265.05284375
transcript.pyannote[113].end 266.62221875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 266.79096875
transcript.pyannote[114].end 269.23784375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 270.41909375
transcript.pyannote[115].end 272.46096875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 273.43971875
transcript.pyannote[116].end 275.41409375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 275.81909375
transcript.pyannote[117].end 278.75534375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 279.17721875
transcript.pyannote[118].end 280.35846875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 281.23596875
transcript.pyannote[119].end 282.87284375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 283.14284375
transcript.pyannote[120].end 284.37471875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 285.55596875
transcript.pyannote[121].end 288.22221875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 289.38659375
transcript.pyannote[122].end 291.56346875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 292.08659375
transcript.pyannote[123].end 293.01471875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 293.38596875
transcript.pyannote[124].end 294.17909375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 294.87096875
transcript.pyannote[125].end 295.66409375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 297.58784375
transcript.pyannote[126].end 298.53284375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 299.39346875
transcript.pyannote[127].end 300.62534375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 301.43534375
transcript.pyannote[128].end 304.77659375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 304.89471875
transcript.pyannote[129].end 306.44721875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 306.80159375
transcript.pyannote[130].end 309.18096875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 310.17659375
transcript.pyannote[131].end 311.96534375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 312.52221875
transcript.pyannote[132].end 313.46721875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 314.73284375
transcript.pyannote[133].end 315.30659375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 316.01534375
transcript.pyannote[134].end 316.45409375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 316.84221875
transcript.pyannote[135].end 318.20909375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 318.83346875
transcript.pyannote[136].end 322.39409375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 323.03534375
transcript.pyannote[137].end 326.46096875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 326.78159375
transcript.pyannote[138].end 328.48596875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 329.73471875
transcript.pyannote[139].end 331.01721875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 331.37159375
transcript.pyannote[140].end 332.50221875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 332.63721875
transcript.pyannote[141].end 332.65409375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 332.65409375
transcript.pyannote[142].end 333.39659375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 332.89034375
transcript.pyannote[143].end 332.97471875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 333.97034375
transcript.pyannote[144].end 335.45534375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 335.74221875
transcript.pyannote[145].end 341.63159375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 342.08721875
transcript.pyannote[146].end 344.87159375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 345.27659375
transcript.pyannote[147].end 347.52096875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 348.31409375
transcript.pyannote[148].end 349.19159375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 349.47846875
transcript.pyannote[149].end 352.00971875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 353.12346875
transcript.pyannote[150].end 354.79409375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 355.55346875
transcript.pyannote[151].end 357.76409375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 358.08471875
transcript.pyannote[152].end 359.41784375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 359.92409375
transcript.pyannote[153].end 361.34159375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 362.03346875
transcript.pyannote[154].end 363.70409375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 364.68284375
transcript.pyannote[155].end 367.77096875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 368.37846875
transcript.pyannote[156].end 368.73284375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 368.91846875
transcript.pyannote[157].end 371.26409375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 373.05284375
transcript.pyannote[158].end 374.43659375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 374.75721875
transcript.pyannote[159].end 375.41534375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 376.03971875
transcript.pyannote[160].end 377.22096875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 378.36846875
transcript.pyannote[161].end 380.88284375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 382.30034375
transcript.pyannote[162].end 384.13971875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 385.08471875
transcript.pyannote[163].end 386.62034375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 386.82284375
transcript.pyannote[164].end 387.83534375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 388.08846875
transcript.pyannote[165].end 389.13471875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 389.99534375
transcript.pyannote[166].end 392.18909375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 392.74596875
transcript.pyannote[167].end 393.04971875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 393.40409375
transcript.pyannote[168].end 394.39971875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 394.63596875
transcript.pyannote[169].end 396.13784375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 397.89284375
transcript.pyannote[170].end 399.46221875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 399.90096875
transcript.pyannote[171].end 402.56721875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 403.32659375
transcript.pyannote[172].end 406.22909375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 406.60034375
transcript.pyannote[173].end 407.14034375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 408.05159375
transcript.pyannote[174].end 411.20721875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 411.27471875
transcript.pyannote[175].end 412.97909375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 413.53596875
transcript.pyannote[176].end 415.12221875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 416.59034375
transcript.pyannote[177].end 420.69096875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 421.07909375
transcript.pyannote[178].end 422.91846875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 424.42034375
transcript.pyannote[179].end 424.74096875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 425.71971875
transcript.pyannote[180].end 428.60534375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 427.98096875
transcript.pyannote[181].end 433.80284375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 433.93784375
transcript.pyannote[182].end 437.21159375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 435.57471875
transcript.pyannote[183].end 438.32534375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 438.40971875
transcript.pyannote[184].end 443.94471875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 438.84846875
transcript.pyannote[185].end 439.38846875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 442.86471875
transcript.pyannote[186].end 445.90221875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 446.13846875
transcript.pyannote[187].end 448.39971875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 448.63596875
transcript.pyannote[188].end 449.90159375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 451.04909375
transcript.pyannote[189].end 451.97721875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 453.54659375
transcript.pyannote[190].end 454.60971875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 455.60534375
transcript.pyannote[191].end 456.73596875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 457.56284375
transcript.pyannote[192].end 459.01409375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 460.17846875
transcript.pyannote[193].end 461.76471875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 462.22034375
transcript.pyannote[194].end 463.70534375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 463.89096875
transcript.pyannote[195].end 466.33784375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 464.98784375
transcript.pyannote[196].end 466.77659375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 466.77659375
transcript.pyannote[197].end 467.46846875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 466.87784375
transcript.pyannote[198].end 468.73409375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 469.89846875
transcript.pyannote[199].end 470.18534375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 471.19784375
transcript.pyannote[200].end 473.35784375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 473.91471875
transcript.pyannote[201].end 475.65284375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 476.27721875
transcript.pyannote[202].end 479.83784375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 480.85034375
transcript.pyannote[203].end 484.29284375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 485.37284375
transcript.pyannote[204].end 491.02596875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 492.13971875
transcript.pyannote[205].end 495.21096875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 495.36284375
transcript.pyannote[206].end 496.66221875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 498.26534375
transcript.pyannote[207].end 498.92346875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 499.46346875
transcript.pyannote[208].end 501.18471875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 502.82159375
transcript.pyannote[209].end 504.08721875
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 504.79596875
transcript.pyannote[210].end 506.65221875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 506.82096875
transcript.pyannote[211].end 508.32284375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 508.93034375
transcript.pyannote[212].end 509.74034375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 510.92159375
transcript.pyannote[213].end 511.22534375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 511.46159375
transcript.pyannote[214].end 512.74409375
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 514.39784375
transcript.pyannote[215].end 515.76471875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 516.54096875
transcript.pyannote[216].end 517.43534375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 518.24534375
transcript.pyannote[217].end 519.17346875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 519.79784375
transcript.pyannote[218].end 522.00846875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 523.07159375
transcript.pyannote[219].end 524.35409375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 526.48034375
transcript.pyannote[220].end 527.20596875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 527.62784375
transcript.pyannote[221].end 528.47159375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 529.12971875
transcript.pyannote[222].end 530.05784375
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 530.56409375
transcript.pyannote[223].end 531.28971875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 531.40784375
transcript.pyannote[224].end 532.03221875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 532.38659375
transcript.pyannote[225].end 533.70284375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 535.01909375
transcript.pyannote[226].end 536.25096875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 536.60534375
transcript.pyannote[227].end 538.24221875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 538.69784375
transcript.pyannote[228].end 539.44034375
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 540.48659375
transcript.pyannote[229].end 541.81971875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 543.25409375
transcript.pyannote[230].end 547.32096875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 544.51971875
transcript.pyannote[231].end 545.00909375
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 548.70471875
transcript.pyannote[232].end 553.34534375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 554.02034375
transcript.pyannote[233].end 557.56409375
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 558.08721875
transcript.pyannote[234].end 560.41596875
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 560.61846875
transcript.pyannote[235].end 562.28909375
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 562.45784375
transcript.pyannote[236].end 563.35221875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 564.31409375
transcript.pyannote[237].end 565.68096875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 566.25471875
transcript.pyannote[238].end 567.73971875
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 568.33034375
transcript.pyannote[239].end 569.41034375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 571.04721875
transcript.pyannote[240].end 571.94159375
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 572.19471875
transcript.pyannote[241].end 573.24096875
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 573.89909375
transcript.pyannote[242].end 574.79346875
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 574.94534375
transcript.pyannote[243].end 577.05471875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 578.23596875
transcript.pyannote[244].end 579.24846875
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 580.68284375
transcript.pyannote[245].end 581.45909375
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 582.62346875
transcript.pyannote[246].end 588.09096875
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 588.76596875
transcript.pyannote[247].end 589.72784375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 590.26784375
transcript.pyannote[248].end 591.61784375
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 591.93846875
transcript.pyannote[249].end 593.18721875
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 593.77784375
transcript.pyannote[250].end 595.00971875
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 596.27534375
transcript.pyannote[251].end 597.77721875
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 599.21159375
transcript.pyannote[252].end 603.95346875
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 604.39221875
transcript.pyannote[253].end 605.53971875
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 605.72534375
transcript.pyannote[254].end 606.90659375
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 607.39596875
transcript.pyannote[255].end 611.96909375
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 612.37409375
transcript.pyannote[256].end 614.46659375
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 615.41159375
transcript.pyannote[257].end 616.93034375
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 618.01034375
transcript.pyannote[258].end 620.44034375
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 621.04784375
transcript.pyannote[259].end 623.64659375
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 625.14846875
transcript.pyannote[260].end 626.11034375
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 626.48159375
transcript.pyannote[261].end 627.84846875
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 627.91596875
transcript.pyannote[262].end 628.82721875
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 629.16471875
transcript.pyannote[263].end 630.24471875
transcript.pyannote[264].speaker SPEAKER_00
transcript.pyannote[264].start 631.40909375
transcript.pyannote[264].end 633.87284375
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 635.05409375
transcript.pyannote[265].end 636.69096875
transcript.pyannote[266].speaker SPEAKER_00
transcript.pyannote[266].start 636.82596875
transcript.pyannote[266].end 637.78784375
transcript.pyannote[267].speaker SPEAKER_00
transcript.pyannote[267].start 638.22659375
transcript.pyannote[267].end 638.47971875
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 638.91846875
transcript.pyannote[268].end 639.45846875
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 641.01096875
transcript.pyannote[269].end 642.19221875
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 645.01034375
transcript.pyannote[270].end 646.05659375
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 646.20846875
transcript.pyannote[271].end 648.06471875
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 648.28409375
transcript.pyannote[272].end 649.70159375
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 650.12346875
transcript.pyannote[273].end 651.79409375
transcript.pyannote[274].speaker SPEAKER_00
transcript.pyannote[274].start 652.72221875
transcript.pyannote[274].end 660.13034375
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 660.28221875
transcript.pyannote[275].end 661.05846875
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 662.74596875
transcript.pyannote[276].end 663.97784375
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 665.37846875
transcript.pyannote[277].end 669.05721875
transcript.pyannote[278].speaker SPEAKER_00
transcript.pyannote[278].start 669.15846875
transcript.pyannote[278].end 670.33971875
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 670.96409375
transcript.pyannote[279].end 674.50784375
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 674.91284375
transcript.pyannote[280].end 675.03096875
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 675.36846875
transcript.pyannote[281].end 677.14034375
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 677.30909375
transcript.pyannote[282].end 678.76034375
transcript.pyannote[283].speaker SPEAKER_00
transcript.pyannote[283].start 679.16534375
transcript.pyannote[283].end 680.41409375
transcript.pyannote[284].speaker SPEAKER_00
transcript.pyannote[284].start 680.92034375
transcript.pyannote[284].end 681.69659375
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 682.89471875
transcript.pyannote[285].end 683.18159375
transcript.pyannote[286].speaker SPEAKER_00
transcript.pyannote[286].start 684.10971875
transcript.pyannote[286].end 685.54409375
transcript.pyannote[287].speaker SPEAKER_00
transcript.pyannote[287].start 685.66221875
transcript.pyannote[287].end 687.45096875
transcript.pyannote[288].speaker SPEAKER_00
transcript.pyannote[288].start 687.67034375
transcript.pyannote[288].end 688.86846875
transcript.pyannote[289].speaker SPEAKER_00
transcript.pyannote[289].start 689.05409375
transcript.pyannote[289].end 689.96534375
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 691.14659375
transcript.pyannote[290].end 695.38221875
transcript.pyannote[291].speaker SPEAKER_00
transcript.pyannote[291].start 695.93909375
transcript.pyannote[291].end 696.37784375
transcript.pyannote[292].speaker SPEAKER_00
transcript.pyannote[292].start 696.49596875
transcript.pyannote[292].end 700.41096875
transcript.pyannote[293].speaker SPEAKER_00
transcript.pyannote[293].start 700.84971875
transcript.pyannote[293].end 707.29596875
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 705.32159375
transcript.pyannote[294].end 706.04721875
transcript.pyannote[295].speaker SPEAKER_00
transcript.pyannote[295].start 708.46034375
transcript.pyannote[295].end 708.96659375
transcript.whisperx[0].start 2.657
transcript.whisperx[0].end 6.48
transcript.whisperx[0].text 好,謝謝主席。本席邀請我們交通部的陳部長。好,陳部長。部長。你好。你好。部長,你新上任。是。所以,我覺得民生第一。我都跟你討論一些關於我們交通上影響最多民眾的。
transcript.whisperx[1].start 24.926
transcript.whisperx[1].end 51.826
transcript.whisperx[1].text 我今天要跟你講的是前幾天發生了一個不幸車禍台中的公車撞死了東海大學的一位女學生那司機說啊因為天色太暗他只看到兩個黑影然後就撞到了另外啦在很多次的車禍發生的時候駕駛啊經常在他口述啦他口供裡面他都會講啊是行人突然間竄出來
transcript.whisperx[2].start 53.749
transcript.whisperx[2].end 71.924
transcript.whisperx[2].text 台灣被稱為行人地獄我們來看看那什麼樣的狀況下是行人最危險的時候我說的是一天的時段夜間真的最危險數字會我提供給部長當參考這最近五年多來
transcript.whisperx[3].start 73.832
transcript.whisperx[3].end 99.039
transcript.whisperx[3].text 行人因交通事故而死亡最多的都是在晚上6點到清晨6點就是下半天黑夜的時候行人最危險黑夜的時候為什麼最危險有可能是開車人不守規矩但是只要我這裡統計的是A1的交通事故
transcript.whisperx[4].start 100.182
transcript.whisperx[4].end 127.859
transcript.whisperx[4].text 你看喔,白天跟黑夜,其實照理講啊,白天車輛是最多嘛,因為大家上下班嘛。那為什麼到晚上的時候啊,反而行人致死啊,是白天啊,至少50%到一倍、兩倍啊,差別非常大。所以台灣的夜晚啊,是行人地獄裡面啊,最恐怖的時候啊。來我們來看一下。你看,這黑夜白天差多少啊?那現在這樣。
transcript.whisperx[5].start 130.56
transcript.whisperx[5].end 134.321
transcript.whisperx[5].text 委員黃健豪等17人、 委員黃健豪等17人、 委員黃健豪等17人、
transcript.whisperx[6].start 152.725
transcript.whisperx[6].end 178.512
transcript.whisperx[6].text 你在國外只要是有行人穿越巴馬線的部分它的照明一定是特別加強政府為了解決所謂行人地域花了多少錢花了幾百億去改善所謂的危險道路危險路口光線這種光線那當然危險你要知道我們法律上
transcript.whisperx[7].start 180.123
transcript.whisperx[7].end 207.401
transcript.whisperx[7].text 行人的光線、行人行道的光線是有規定的不然我給你一個參考交通規則規範這是我們交通部自己訂的行人穿越道照明標準有在寫沒在做我們照講行人穿越道的光線你是要達到一定的亮度結果都沒有了你看一看你是不是應該做一個總檢討否則啦
transcript.whisperx[8].start 210.968
transcript.whisperx[8].end 239.059
transcript.whisperx[8].text 回到上一頁你注意看這個顯不合理的分配每一年那麼多新人死亡他的時間都集中在反而車輛比較少的晚上然後肇事者經常最常講的就是說他看不清楚了人突然間竄出來了包括前幾天發生的台中公車撞死大學生也是這樣子有一件車禍也很出名
transcript.whisperx[9].start 240.595
transcript.whisperx[9].end 268.994
transcript.whisperx[9].text 其實我們的賴思寶委員他不是撞到人那媒體不知道怎麼樣把他的行車紀錄器拖出來坦白講那看起來真的是很黑暗賴委員他也這麼講賴思寶委員也這麼講他說那個光線不是很清楚他沒有看得很清楚所以我現在請交通部你既然有訂這樣的一個規範交通工程規範行人穿越到照明標準那你就要照做
transcript.whisperx[10].start 270.458
transcript.whisperx[10].end 295.598
transcript.whisperx[10].text 那我再給你 再給部長一個參考你在國外除了光線以外你車輛要到那個人行道你要讓它減速台灣完全沒有這樣一個設計你怎麼讓它減速呢最容易做的就是用物理性的東西就所謂的緩速道 緩速台來讓車輛減低速度我再給你看一下一個是韓國的
transcript.whisperx[11].start 299.651
transcript.whisperx[11].end 307.754
transcript.whisperx[11].text 這個是新加坡的韓國的車輛你要來到人行道它一定會經過一個緩速台就是會讓你的車輛不得不減速然後我們台灣要過斑馬線因為我都從高雷站我都是習慣走路到立法院來我每次要走斑馬線我一定要從人行道跳下來
transcript.whisperx[12].start 329.775
transcript.whisperx[12].end 354.49
transcript.whisperx[12].text 因為人行道比較高嘛斑馬線比較低嘛是不是如果嬰兒推車你要推推或是你拿貨物要過斑馬線你要先從人行道跳下來才能走斑馬線你看國外都不會有這個問題新加坡、日本他們都把人行道稍微做高啦做高喔因為它旁邊要做緩速台那人行道做高第一個
transcript.whisperx[13].start 355.575
transcript.whisperx[13].end 371.386
transcript.whisperx[13].text 也斑馬線做高,你從連行道走下來,不必有跳下來的感覺啦,比較安全以外。你人你走也走比較遠啦,因為它有一個,它等於有一點高度嘛,所以駕駛也比較容易看到那裡有行人。但是我們這邊沒有啦,台灣只會教育行人。你出門要穿亮色衣服,這什麼,這多愚蠢的建議啊。
transcript.whisperx[14].start 385.077
transcript.whisperx[14].end 387.759
transcript.whisperx[14].text 委員黃健豪等17人、 委員黃健豪等17人、 委員黃健豪等17人、 委員黃健豪等17人、 委員黃健豪等17人、
transcript.whisperx[15].start 410.005
transcript.whisperx[15].end 422.598
transcript.whisperx[15].text 兩邊要做緩速台,讓車輛經過它的時候,強迫它一定要減速。受理工委,你看你的行人死在人行穿越道,案件有減少嗎?都沒有嗎?
transcript.whisperx[16].start 425.751
transcript.whisperx[16].end 451.911
transcript.whisperx[16].text 我希望你這個部分你們要趕快去改善你再說的那個光線的部分我們現在的道路改善的部分有把這個部分都拉進來那還有很多的路段前幾天才剛出現一個死亡車禍這個我清楚所以那個部分已經有做檢討您剛剛在講的東海女學生來我現在沒什麼時間我延續一下剛剛那個黃健豪委員所問您的問題那為什麼現在啊假車牌那麼多你們自己要統計啊
transcript.whisperx[17].start 455.806
transcript.whisperx[17].end 484.154
transcript.whisperx[17].text 檢察局有統計使用腳車牌原因是什麼腳車牌什麼時候開始增多其實是去年就增多了來看這個表2022年一年我現在用的是嚴重超速的件數因為這時間點非常配合嚴重超速我們原本是超速60公里吊扣車牌2023年去年把它改成超速40就吊扣車牌
transcript.whisperx[18].start 485.424
transcript.whisperx[18].end 490.967
transcript.whisperx[18].text 所以這個案件吊擺的數字多了四倍從一年一萬五千五百五十件變成六萬件我們修改法律的目的在幹嘛是希望能夠嚇阻啦希望能夠減少犯罪行為這是我們修法的目的啦你修了一個法結果那麼多人違規
transcript.whisperx[19].start 514.431
transcript.whisperx[19].end 524.015
transcript.whisperx[19].text 你如果多一點點就算了你多了四倍那表示啊你這個法律啊會讓很多人可能是不小心就違法政府要超出多少拔掉人造車牌啊你應該先檢討啊你的訴訟有合理嗎公共電視台做了一個這樣的專輯節目跑去台灣找他說你的訴訟有合理嗎
transcript.whisperx[20].start 543.285
transcript.whisperx[20].end 547.147
transcript.whisperx[20].text 委員黃健豪等17人、 委員黃健豪等17人、 委員黃健豪等17人、 委員黃健豪等17人、 委員黃健豪等17人、 委員黃健豪等17人、 委員黃健豪等17人、
transcript.whisperx[21].start 571.069
transcript.whisperx[21].end 597.641
transcript.whisperx[21].text 他抓到了就成長6倍這個是有抓到假車牌有抓到就成長6倍那有關係嗎?警察局我們的警政署有分析使用偽造車牌的樣態為什麼?什麼原因你們要使用偽造車牌?38%是因為他車牌被調控有將近4成我的車牌用烤的所以逼他要去用假車牌
transcript.whisperx[22].start 600.001
transcript.whisperx[22].end 623.031
transcript.whisperx[22].text 那這些被調貨車的車輛沒有車牌車子就不能開嘛那很可能是家庭用車啦我要載孩子啦我要載大人啦我要上班啦對不對那有的是營業車輛那不能做生意啊那怎麼辦剛好你剛有提到了假車牌現在很容易買啦就這樣弄起來像火一樣燒起來了
transcript.whisperx[23].start 625.202
transcript.whisperx[23].end 633.748
transcript.whisperx[23].text 所以你現在抓到假車牌你就直接把車輛給沒路我認為使用假車牌還是有其他樣態啦如果拿來犯案犯罪那個車輛當然直接沒路啦那假車牌他做什麼事情那吊牌主要原因是超速那政府有沒有去檢討我們各地速限的合理性
transcript.whisperx[24].start 652.899
transcript.whisperx[24].end 660.881
transcript.whisperx[24].text 等等那我認為法律上還是要做一個比較現有的法律什麼樣的狀態下你的車牌、你的車輛會被沒路其實都是非常嚴重的啦你有重傷啦你弄海溪人啦弄溪人、擋凶車輛才有沒路我現在列出來給你看部長只有這些狀況下車輛才會沒路你現在使用腳車牌車子要直接沒路
transcript.whisperx[25].start 682.932
transcript.whisperx[25].end 705.168
transcript.whisperx[25].text 那我們的法律規範上就只要用假車牌就直接摸入嗎還是有沒有再細分一下我們未來新的修法的方向目前是只要使用假車牌車子就會被摸入這我有時間的問題啦 抱歉我們主席已經站起來了那這個部分我們在後續再來做一些討論好不好謝謝部長 謝謝局長 謝謝主席
gazette.lineno 419
gazette.blocks[0][0] 林委員俊憲:(11時8分)謝謝主席,本席邀請交通部陳部長。
gazette.blocks[1][0] 主席:陳部長。
gazette.blocks[2][0] 林委員俊憲:部長你好。
gazette.blocks[3][0] 陳部長世凱:委員好。
gazette.blocks[4][0] 林委員俊憲:部長你新上任,所以我覺得民生第一,我都跟你討論一些關於交通上影響最多民眾的,我現在跟你講的是,前幾天發生了一個不幸車禍,臺中的公車撞死了東海大學的一位女學生,司機說因為天色太暗,他只看到兩個黑影,然後就撞到。另外,在很多次車禍發生的時候,駕駛經常在他的口供裡面講:是行人突然間竄出來的。
gazette.blocks[4][1] 臺灣被稱為行人地獄,我們來看看什麼樣的狀況下是行人最危險的時候,我說的是一天的時段,夜間真的最危險,相關數字我提供給部長當參考,最近五年多來,行人因交通事故而死亡,最多都是在晚上6點到清晨6點,就是下半天、黑夜的時候行人最危險,黑夜的時候為什麼最危險?有可能是開車的人不守規矩,但是我這裡統計的是A1類的交通事故,你看白天跟黑夜的部分,其實照理講白天車輛最多,因為大家要上下班,但為什麼晚上的時候,反而行人致死至少是白天的50%到一倍、兩倍,差別非常大,所以臺灣的夜晚是行人地獄裡面最恐怖的時候。我們來看一下,你看這黑夜、白天差多少!部長這樣看得到嗎?
gazette.blocks[5][0] 陳部長世凱:有看到。
gazette.blocks[6][0] 林委員俊憲:這麼暗的狀況下,過馬路會安全嗎?開車都不一定看得到斑馬線了,但另外這張是不是很亮?抱歉,這不是臺灣,而是韓國,在國外只要是有行人穿越斑馬線的部分,它的照明一定是特別加強。政府為了解決所謂行人地獄花了幾百億去改善所謂的危險道路、危險路口,像剛才那種光線當然危險,你要知道,我們法律上人行道的光線是有規定的,部長,我給你一個參考,交通工程規範,這是交通部自己訂的,裡面就有行人穿越道照明標準,但有在寫、沒在做,照理講行人穿越道的光線要達到一定的亮度,結果都沒有!請你看一看,所以你是不是應該做一個總檢討?否則就像上一頁提到的,這是顯不合理的分配,每一年有那麼多行人死亡,時間反而都集中在車輛比較少的晚上,然後肇事者最常講的就是他看不清楚,人突然間竄出來,包括前幾天發生臺中公車撞死大學生一案也是這樣子;有一件車禍也很出名,就是我們賴士葆委員撞到人,媒體不知道怎麼樣取得的,把他的行車紀錄器播出來,坦白講,看起來真的是很黑暗,賴士葆委員也這麼講,他說那個光線不是很清楚,他沒有看得很清楚。所以現在請交通部,既然有訂這樣一個規範,即交通工程規範,裡面有行人穿越道照明標準,那你就要照做。
gazette.blocks[6][1] 我再給部長一個參考,在國外除了光線以外,車輛經過人行道,你就要讓它減速,但臺灣完全沒有這樣一個設計,你怎麼讓它減速呢?最容易做的就是用物理性的東西,就是用所謂的緩速台來讓車輛減低速度。我再給你看一下,這一個是韓國的,另外一個是新加坡的,韓國的車輛當來到人行道,一定會經過一個緩速台,就是會讓你的車輛不得不減速,然後我們臺灣的部分,因為我都習慣從高鐵站走路到立法院來,每次要走斑馬線,我一定要從人行道跳下來,因為人行道比較高,斑馬線比較低,是不是?如果是推嬰兒推車,或者是你拿貨物要過斑馬線,你要先從人行道跳下來才能走斑馬線,你看國外都不會有這個問題,新加坡、日本他們都把人行道稍微做高,因為它旁邊要做緩速台,當斑馬線做高,你從人行道走下來,就不會有跳下來的感覺,除了比較安全以外,民眾也是走在高一點地方,因為它等於是有一點高度,所以駕駛也比較容易看到那裡有行人。但是我們這邊沒有,臺灣只會宣傳或教育行人晚上出門要穿亮色衣服,這是多愚蠢的建議,你為什麼不把人行道的光線弄亮一點?還有,過斑馬線時手要舉高在那邊搖,讓車輛可以看到你,但為什麼不把這個地方稍微墊高一點,讓一般行人從人行道下來走斑馬線時是平的,然後也有一點高度,而且兩邊你要做緩速台,讓車輛經過的時候,強迫他一定要減速,數字會說話,你看行人死在行人穿越道的案件有減少嗎?都沒有!好,我希望這個部分,你們要趕快去改善。
gazette.blocks[7][0] 陳部長世凱:報告委員,您所說光線的部分,我們現在道路改善的部分,有把這個部分都納進來,還有很多的路段……
gazette.blocks[8][0] 林委員俊憲:前幾天才剛出現一個死亡車禍。
gazette.blocks[9][0] 陳部長世凱:這個我清楚,所以那個部分已經有做檢討,您剛剛講的東海女學生……
gazette.blocks[10][0] 林委員俊憲:我現在沒什麼時間了,延續一下剛剛黃健豪委員問你們的問題,為什麼現在假車牌那麼多?你們自己也有統計,據警察局統計,使用假車牌的原因是什麼?假車牌什麼時候開始增多?其實是去年就增多了。
gazette.blocks[11][0] 陳部長世凱:對,去年跟今年。
gazette.blocks[12][0] 林委員俊憲:來看這個表,我現在談的是嚴重超速的件數,因為這個時間點非常配合,嚴重超速的部分,我們原本是超速60公里吊扣車牌,2023(去)年把它改成超速40公里就吊扣車牌,所以吊牌案件的數字多了4倍,從一年1萬5,550件變成6萬件,我們修法的目的在幹嘛?是希望能夠嚇阻,希望能夠減少犯罪行為,這是我們修法的目的,但你修了一個法,結果那麼多人違規,如果多一點點就算了,結果多了4倍,表示這個法律會讓很多人可能是不小心就違法了。再來,到底要超速多少才拔掉人家的車牌,政府應該要先檢討你規定的速限合理嗎?公共電視臺做了這樣一個專輯節目,看看臺灣各地的速限有合理嗎?像臺灣的四線道速限卻只有50,你叫人家怎麼開車呢?部長,如果你從臺北開到板橋,我看你都很難保持全線不超車,所以你規定的速限有合理嗎?也就是在不合理以後,違規案件一年從一萬五千多件變成6萬件,相對應的時間點,抓到假車牌的件數就成長了6倍,這個是有抓到的,持假車牌有抓到的就成長了6倍,那有關係嗎?我們的警政署有分析使用偽造車牌的樣態,什麼原因讓你們要使用偽造車牌?38%、將近四成是因為他的車牌被吊扣,所以逼他要去用假車牌。這些被吊扣的車輛沒有車牌,車子就不能開,但那很可能是家庭用車,可能用來載小孩、載長輩或是供上班之用,此外,有的是營業車輛,吊扣後就不能做生意,那要怎麼辦?剛剛你有提到現在假車牌很容易買到,就這樣像火一樣燒起來了,所以現在抓到假車牌的,你就要直接把車輛給沒入,我認為使用假車牌還是有其他樣態,如果拿來犯罪,那個車輛當然直接沒入,但現在吊牌的主要原因是超速,政府有沒有去檢討我們各地速限的合理性等等,我認為法律上還是要做一個比較,現有的法律在什麼樣的樣態下你的車輛會被沒入,其實都是非常嚴重的狀況,害死人或是把人弄成重傷,車輛才會被沒入,我現在列出來給你看,部長,只有這些狀況下,車輛才會沒入,你現在使用假車牌,車子要直接沒入,而我們的法律規範上,只要用假車牌就直接沒入嗎?有沒有再細分一下?
gazette.blocks[13][0] 陳部長世凱:未來新的修法方向,目前是只要使用假車牌,車子就會被沒入。
gazette.blocks[14][0] 林委員俊憲:好,因為時間的闗係,不好意思,我們主席已經站起來了,這個部分我們後續再來做一些討論,謝謝部長,謝謝局長,謝謝主席。
gazette.blocks[15][0] 陳部長世凱:好,謝謝委員。
gazette.blocks[16][0] 主席(黃委員健豪代):謝謝林俊憲委員的質詢。
gazette.blocks[16][1] 接下來請魯明哲委員。
gazette.agenda.page_end 290
gazette.agenda.meet_id 委員會-11-2-23-10
gazette.agenda.speakers[0] 魯明哲
gazette.agenda.speakers[1] 林德福
gazette.agenda.speakers[2] 洪孟楷
gazette.agenda.speakers[3] 鍾佳濱
gazette.agenda.speakers[4] 黃健豪
gazette.agenda.speakers[5] 游顥
gazette.agenda.speakers[6] 許宇甄
gazette.agenda.speakers[7] 林倩綺
gazette.agenda.speakers[8] 林國成
gazette.agenda.speakers[9] 林沛祥
gazette.agenda.speakers[10] 李昆澤
gazette.agenda.speakers[11] 徐富癸
gazette.agenda.speakers[12] 陳素月
gazette.agenda.speakers[13] 林俊憲
gazette.agenda.speakers[14] 蔡其昌
gazette.agenda.speakers[15] 何欣純
gazette.agenda.speakers[16] 陳雪生
gazette.agenda.speakers[17] 許智傑
gazette.agenda.speakers[18] 邱若華
gazette.agenda.speakers[19] 賴士葆
gazette.agenda.speakers[20] 羅智強
gazette.agenda.speakers[21] 賴惠員
gazette.agenda.speakers[22] 楊瓊瓔
gazette.agenda.speakers[23] 吳春城
gazette.agenda.speakers[24] 伍麗華Saidhai‧Tahovecahe
gazette.agenda.speakers[25] 李坤城
gazette.agenda.speakers[26] 林月琴
gazette.agenda.speakers[27] 陳培瑜
gazette.agenda.speakers[28] 鄭正鈐
gazette.agenda.speakers[29] 陳冠廷
gazette.agenda.page_start 151
gazette.agenda.meetingDate[0] 2024-11-18
gazette.agenda.gazette_id 11310302
gazette.agenda.agenda_lcidc_ids[0] 11310302_00003
gazette.agenda.meet_name 立法院第11屆第2會期交通委員會第10次全體委員會議紀錄
gazette.agenda.content 一、邀請交通部部長陳世凱、交通部公路局局長、法務部及內政部警政署就「偽變造車牌或其它 隱匿車牌方式之查緝與防制暨如何有效杜絕無照駕駛猖獗之亂象」進行專題報告,並備質詢; 二、審查(一)委員洪孟楷等24人、(二)委員黃健豪等17人、(三)委員林俊憲等17人、(四)委員王 鴻薇等18人分別擬具「道路交通管理處罰條例第十二條條文修正草案」案、(五)委員鍾佳濱等19 人、(六)委員許宇甄等17人、(七)委員陳素月等20人分別擬具「道路交通管理處罰條例第十二條 及第十二條之一條文修正草案」案、(八)委員林德福等16人擬具「道路交通管理處罰條例第十二 條及第十三條條文修正草案」案、(九)委員徐富癸等19人擬具「道路交通管理處罰條例第十二條 及第十五條條文修正草案」案;三、審查(一)委員傅崐萁等20人、(二)委員陳雪生等29人分別擬 具「發展觀光條例第二條及第七十條之二條文修正草案」案、(三)委員許宇甄等20人擬具「發展 觀光條例第四條、第五十三條及第七十條之二條文修正草案」案、(四)委員林倩綺等21人擬具 「發展觀光條例第三十六條及第六十條條文修正草案」案、(五)委員王美惠等16人擬具「發展觀 光條例部分條文修正草案」案、(六)委員伍麗華 Saidhai Tahovecahe 等20人擬具「發展觀光條 例第五十五條、第五十五條之一及第五十五條之三條文修正草案」案及(七)委員游顥等38人擬具 「發展觀光條例第七十條之二條文修正草案」案
gazette.agenda.agenda_id 11310302_00002