iVOD / 169009

Field Value
IVOD_ID 169009
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/169009
日期 2026-04-30
會議資料.會議代碼 委員會-11-5-23-10
會議資料.會議代碼:str 第11屆第5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 5
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5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 2026-04-30T10:11:49+08:00
結束時間 2026-04-30T10:21:44+08:00
影片長度 00:09:55
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/b51b6e95b687bd8e94911b70f10c4ef3b3448b35e215f93f5baa084d0648def01ee19b822c4e652d5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林俊憲
委員發言時間 10:11:49 - 10:21:44
會議時間 2026-04-30T09:00:00+08:00
會議名稱 立法院第11屆第5會期交通委員會第10次全體委員會議(事由:一、審查115年度中央政府總預算案關於行政院公共工程委員會單位預算。二、審查115年度中央政府總預算案關於交通部單位預算。三、審查115年度中央政府總預算案關於交通部中央氣象署單位預算。四、審查115年度中央政府總預算案關於交通部觀光署及所屬單位預算。五、審查115年度中央政府總預算案關於交通部運輸研究所單位預算。六、審查115年度中央政府總預算案關於交通部公路局及所屬單位預算。七、審查115年度中央政府總預算案關於交通部航港局單位預算。八、審查115年度中央政府總預算案直轄市及縣市政府一般性補助款-交通部主管第1目交通部、第2目公路局及所屬、第3目航港局及第4目觀光署及所屬。九、審查115年度中央政府總預算案附屬單位預算營業部分關於交通部主管臺灣港務股份有限公司營業預算。十、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交通部主管交通作業基金─國道公路建設管理基金分預算。十一、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交通部主管交通作業基金─觀光發展基金分預算。十二、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交通部主管航港建設基金非營業預算。十三、處理114年度中央政府總預算附屬單位預算關於交通部主管預算凍結案計48案。【開會事由一至十二僅進行詢答;交通部(含一般性補助款-交通部主管第1目)預算提案截止收件時間:5月6日下午2時;行政院公共工程委員會、中央氣象署、觀光署及所屬(含一般性補助款-交通部主管第4目)、運輸研究所預算提案截止收件時間:5月19日下午2時;公路局及所屬(含一般性補助款-交通部主管第2目)、航港局(含一般性補助款-交通部主管第3目)預算提案截止收件時間:5月21日下午2時】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.33471875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 0.92534375
transcript.pyannote[1].end 3.01784375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 3.27096875
transcript.pyannote[2].end 4.18221875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 3.70971875
transcript.pyannote[3].end 5.85284375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 5.90346875
transcript.pyannote[4].end 7.03409375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 12.04596875
transcript.pyannote[5].end 13.64909375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 14.59409375
transcript.pyannote[6].end 16.04534375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 16.21409375
transcript.pyannote[7].end 17.51346875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 17.81721875
transcript.pyannote[8].end 17.91846875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 17.91846875
transcript.pyannote[9].end 23.28471875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 23.77409375
transcript.pyannote[10].end 25.22534375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 25.69784375
transcript.pyannote[11].end 31.28346875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 32.00909375
transcript.pyannote[12].end 43.31534375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 43.51784375
transcript.pyannote[13].end 45.25596875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 45.39096875
transcript.pyannote[14].end 45.74534375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 46.21784375
transcript.pyannote[15].end 48.73221875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 49.00221875
transcript.pyannote[16].end 51.80346875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 52.10721875
transcript.pyannote[17].end 54.43596875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 55.38096875
transcript.pyannote[18].end 57.03471875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 57.40596875
transcript.pyannote[19].end 59.26221875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 59.75159375
transcript.pyannote[20].end 60.66284375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 60.98346875
transcript.pyannote[21].end 61.89471875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 62.92409375
transcript.pyannote[22].end 64.40909375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 64.99971875
transcript.pyannote[23].end 69.31971875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 70.11284375
transcript.pyannote[24].end 72.13784375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 72.72846875
transcript.pyannote[25].end 73.33596875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 74.50034375
transcript.pyannote[26].end 77.18346875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 78.04409375
transcript.pyannote[27].end 78.95534375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 79.81596875
transcript.pyannote[28].end 81.60471875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 82.14471875
transcript.pyannote[29].end 82.71846875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 83.64659375
transcript.pyannote[30].end 84.79409375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 85.55346875
transcript.pyannote[31].end 85.89096875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 86.07659375
transcript.pyannote[32].end 86.61659375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 86.73471875
transcript.pyannote[33].end 89.51909375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 90.29534375
transcript.pyannote[34].end 92.47221875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 93.19784375
transcript.pyannote[35].end 94.96971875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 96.10034375
transcript.pyannote[36].end 96.80909375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 97.28159375
transcript.pyannote[37].end 99.62721875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 99.99846875
transcript.pyannote[38].end 101.19659375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 102.09096875
transcript.pyannote[39].end 103.60971875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 104.03159375
transcript.pyannote[40].end 106.56284375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 107.38971875
transcript.pyannote[41].end 108.58784375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 108.84096875
transcript.pyannote[42].end 111.01784375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 111.57471875
transcript.pyannote[43].end 112.62096875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 112.89096875
transcript.pyannote[44].end 115.65846875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 116.11409375
transcript.pyannote[45].end 116.48534375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 116.68784375
transcript.pyannote[46].end 118.66221875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 119.06721875
transcript.pyannote[47].end 120.50159375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 121.41284375
transcript.pyannote[48].end 122.27346875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 123.35346875
transcript.pyannote[49].end 124.29846875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 124.53471875
transcript.pyannote[50].end 125.69909375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 126.45846875
transcript.pyannote[51].end 126.99846875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 127.96034375
transcript.pyannote[52].end 128.55096875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 128.85471875
transcript.pyannote[53].end 130.35659375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 131.08221875
transcript.pyannote[54].end 131.89221875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 132.04409375
transcript.pyannote[55].end 132.60096875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 133.25909375
transcript.pyannote[56].end 134.64284375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 135.55409375
transcript.pyannote[57].end 137.15721875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 137.47784375
transcript.pyannote[58].end 138.18659375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 138.97971875
transcript.pyannote[59].end 141.44346875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 142.62471875
transcript.pyannote[60].end 143.80596875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 143.29971875
transcript.pyannote[61].end 144.53159375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 144.71721875
transcript.pyannote[62].end 146.45534375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 147.02909375
transcript.pyannote[63].end 148.15971875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 149.23971875
transcript.pyannote[64].end 149.40846875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 151.16346875
transcript.pyannote[65].end 152.26034375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 152.63159375
transcript.pyannote[66].end 154.16721875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 155.24721875
transcript.pyannote[67].end 156.58034375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 157.30596875
transcript.pyannote[68].end 160.79909375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 161.32221875
transcript.pyannote[69].end 163.06034375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 164.17409375
transcript.pyannote[70].end 166.06409375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 166.35096875
transcript.pyannote[71].end 167.49846875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 168.17346875
transcript.pyannote[72].end 168.62909375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 169.25346875
transcript.pyannote[73].end 170.08034375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 171.37971875
transcript.pyannote[74].end 188.32221875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 188.32221875
transcript.pyannote[75].end 189.28409375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 189.28409375
transcript.pyannote[76].end 194.81909375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 195.13971875
transcript.pyannote[77].end 221.17784375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 219.50721875
transcript.pyannote[78].end 220.75596875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 221.17784375
transcript.pyannote[79].end 221.54909375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 221.63346875
transcript.pyannote[80].end 222.08909375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 222.17346875
transcript.pyannote[81].end 223.99596875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 224.60346875
transcript.pyannote[82].end 224.70471875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 224.70471875
transcript.pyannote[83].end 224.72159375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 224.72159375
transcript.pyannote[84].end 224.83971875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 224.75534375
transcript.pyannote[85].end 227.65784375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 228.46784375
transcript.pyannote[86].end 229.61534375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 230.13846875
transcript.pyannote[87].end 231.06659375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 231.80909375
transcript.pyannote[88].end 233.26034375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 233.51346875
transcript.pyannote[89].end 234.79596875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 235.63971875
transcript.pyannote[90].end 238.67721875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 239.18346875
transcript.pyannote[91].end 239.52096875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 239.99346875
transcript.pyannote[92].end 242.50784375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 243.25034375
transcript.pyannote[93].end 244.44846875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 246.23721875
transcript.pyannote[94].end 248.48159375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 248.80221875
transcript.pyannote[95].end 250.03409375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 250.72596875
transcript.pyannote[96].end 253.51034375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 252.31221875
transcript.pyannote[97].end 252.78471875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 252.85221875
transcript.pyannote[98].end 252.91971875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 253.05471875
transcript.pyannote[99].end 254.96159375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 255.40034375
transcript.pyannote[100].end 257.37471875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 255.53534375
transcript.pyannote[101].end 255.83909375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 256.88534375
transcript.pyannote[102].end 256.93596875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 256.95284375
transcript.pyannote[103].end 257.07096875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 257.99909375
transcript.pyannote[104].end 282.29909375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 282.29909375
transcript.pyannote[105].end 285.69096875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 285.69096875
transcript.pyannote[106].end 288.88034375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 286.50096875
transcript.pyannote[107].end 286.58534375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 287.41221875
transcript.pyannote[108].end 288.89721875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 288.89721875
transcript.pyannote[109].end 289.23471875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 289.23471875
transcript.pyannote[110].end 294.21284375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 294.60096875
transcript.pyannote[111].end 296.11971875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 296.38971875
transcript.pyannote[112].end 298.66784375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 299.29221875
transcript.pyannote[113].end 300.03471875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 300.43971875
transcript.pyannote[114].end 301.89096875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 302.66721875
transcript.pyannote[115].end 303.29159375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 304.20284375
transcript.pyannote[116].end 309.02909375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 309.41721875
transcript.pyannote[117].end 310.05846875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 310.54784375
transcript.pyannote[118].end 312.64034375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 313.06221875
transcript.pyannote[119].end 318.37784375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 318.91784375
transcript.pyannote[120].end 320.63909375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 321.39846875
transcript.pyannote[121].end 322.83284375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 323.89596875
transcript.pyannote[122].end 328.35096875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 328.89096875
transcript.pyannote[123].end 332.46846875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 332.82284375
transcript.pyannote[124].end 334.15596875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 334.51034375
transcript.pyannote[125].end 335.79284375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 336.87284375
transcript.pyannote[126].end 338.93159375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 339.18471875
transcript.pyannote[127].end 339.42096875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 339.82596875
transcript.pyannote[128].end 341.12534375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 342.76221875
transcript.pyannote[129].end 344.38221875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 345.41159375
transcript.pyannote[130].end 346.54221875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 348.09471875
transcript.pyannote[131].end 348.49971875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 348.61784375
transcript.pyannote[132].end 348.82034375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 349.29284375
transcript.pyannote[133].end 349.95096875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 350.33909375
transcript.pyannote[134].end 351.19971875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 352.56659375
transcript.pyannote[135].end 354.94596875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 356.73471875
transcript.pyannote[136].end 358.00034375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 358.00034375
transcript.pyannote[137].end 358.03409375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 359.55284375
transcript.pyannote[138].end 359.97471875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 359.97471875
transcript.pyannote[139].end 360.12659375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 360.34596875
transcript.pyannote[140].end 361.00409375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 361.71284375
transcript.pyannote[141].end 361.72971875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 361.72971875
transcript.pyannote[142].end 376.07346875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 374.58846875
transcript.pyannote[143].end 375.44909375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 375.88784375
transcript.pyannote[144].end 382.92471875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 380.84909375
transcript.pyannote[145].end 380.86596875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 380.88284375
transcript.pyannote[146].end 380.96721875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 383.71784375
transcript.pyannote[147].end 387.43034375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 387.68346875
transcript.pyannote[148].end 388.69596875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 388.84784375
transcript.pyannote[149].end 389.37096875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 389.99534375
transcript.pyannote[150].end 392.15534375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 390.45096875
transcript.pyannote[151].end 390.75471875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 392.17221875
transcript.pyannote[152].end 393.64034375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 392.49284375
transcript.pyannote[153].end 393.37034375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 393.64034375
transcript.pyannote[154].end 393.80909375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 393.96096875
transcript.pyannote[155].end 402.17909375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 399.36096875
transcript.pyannote[156].end 399.96846875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 401.72346875
transcript.pyannote[157].end 407.19096875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 408.10221875
transcript.pyannote[158].end 409.33409375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 409.33409375
transcript.pyannote[159].end 409.35096875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 410.58284375
transcript.pyannote[160].end 410.97096875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 410.97096875
transcript.pyannote[161].end 411.03846875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 411.03846875
transcript.pyannote[162].end 411.17346875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 411.17346875
transcript.pyannote[163].end 411.76409375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 411.88221875
transcript.pyannote[164].end 412.87784375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 413.35034375
transcript.pyannote[165].end 420.04971875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 419.02034375
transcript.pyannote[166].end 420.06659375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 420.06659375
transcript.pyannote[167].end 420.13409375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 420.13409375
transcript.pyannote[168].end 421.90596875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 420.15096875
transcript.pyannote[169].end 420.37034375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 421.01159375
transcript.pyannote[170].end 421.88909375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 421.90596875
transcript.pyannote[171].end 422.17596875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 422.47971875
transcript.pyannote[172].end 423.44159375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 423.67784375
transcript.pyannote[173].end 424.47096875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 425.29784375
transcript.pyannote[174].end 426.63096875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 426.96846875
transcript.pyannote[175].end 428.35221875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 428.62221875
transcript.pyannote[176].end 430.02284375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 430.78221875
transcript.pyannote[177].end 435.57471875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 435.99659375
transcript.pyannote[178].end 437.14409375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 437.41409375
transcript.pyannote[179].end 438.46034375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 439.15221875
transcript.pyannote[180].end 440.82284375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 441.34596875
transcript.pyannote[181].end 441.81846875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 442.22346875
transcript.pyannote[182].end 443.84346875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 444.80534375
transcript.pyannote[183].end 445.91909375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 446.64471875
transcript.pyannote[184].end 447.77534375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 448.11284375
transcript.pyannote[185].end 448.72034375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 449.15909375
transcript.pyannote[186].end 451.20096875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 451.20096875
transcript.pyannote[187].end 451.55534375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 451.55534375
transcript.pyannote[188].end 451.97721875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 451.97721875
transcript.pyannote[189].end 461.30909375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 461.73096875
transcript.pyannote[190].end 465.47721875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 464.34659375
transcript.pyannote[191].end 465.96659375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 465.96659375
transcript.pyannote[192].end 466.03409375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 466.03409375
transcript.pyannote[193].end 472.34534375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 473.35784375
transcript.pyannote[194].end 474.64034375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 473.57721875
transcript.pyannote[195].end 474.57284375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 474.64034375
transcript.pyannote[196].end 474.97784375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 474.97784375
transcript.pyannote[197].end 481.49159375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 475.26471875
transcript.pyannote[198].end 475.58534375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 477.01971875
transcript.pyannote[199].end 477.30659375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 477.89721875
transcript.pyannote[200].end 478.50471875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 478.69034375
transcript.pyannote[201].end 480.31034375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 481.79534375
transcript.pyannote[202].end 483.70221875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 484.34346875
transcript.pyannote[203].end 485.47409375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 486.13221875
transcript.pyannote[204].end 487.19534375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 488.59596875
transcript.pyannote[205].end 489.72659375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 490.53659375
transcript.pyannote[206].end 492.10596875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 492.83159375
transcript.pyannote[207].end 494.28284375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 494.67096875
transcript.pyannote[208].end 497.70846875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 495.51471875
transcript.pyannote[209].end 495.76784375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 495.88596875
transcript.pyannote[210].end 504.64409375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 504.39096875
transcript.pyannote[211].end 505.23471875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 505.60596875
transcript.pyannote[212].end 507.32721875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 508.30596875
transcript.pyannote[213].end 511.32659375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 511.32659375
transcript.pyannote[214].end 511.96784375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 511.96784375
transcript.pyannote[215].end 512.03534375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 512.03534375
transcript.pyannote[216].end 512.96346875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 512.96346875
transcript.pyannote[217].end 513.03096875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 513.03096875
transcript.pyannote[218].end 513.40221875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 514.26284375
transcript.pyannote[219].end 514.46534375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 514.81971875
transcript.pyannote[220].end 517.38471875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 516.86159375
transcript.pyannote[221].end 521.95784375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 517.45221875
transcript.pyannote[222].end 517.48596875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 517.67159375
transcript.pyannote[223].end 518.11034375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 522.91971875
transcript.pyannote[224].end 527.08784375
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 527.08784375
transcript.pyannote[225].end 535.35659375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 531.76221875
transcript.pyannote[226].end 535.66034375
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 535.66034375
transcript.pyannote[227].end 535.71096875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 536.26784375
transcript.pyannote[228].end 539.87909375
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 539.87909375
transcript.pyannote[229].end 540.48659375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 540.43596875
transcript.pyannote[230].end 541.98846875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 542.39346875
transcript.pyannote[231].end 543.20346875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 544.36784375
transcript.pyannote[232].end 545.85284375
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 546.59534375
transcript.pyannote[233].end 547.82721875
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 547.52346875
transcript.pyannote[234].end 550.32471875
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 551.18534375
transcript.pyannote[235].end 555.82596875
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 554.00346875
transcript.pyannote[236].end 556.90596875
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 558.22221875
transcript.pyannote[237].end 560.31471875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 561.12471875
transcript.pyannote[238].end 561.91784375
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 562.08659375
transcript.pyannote[239].end 563.75721875
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 564.16221875
transcript.pyannote[240].end 565.20846875
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 565.83284375
transcript.pyannote[241].end 566.23784375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 567.46971875
transcript.pyannote[242].end 569.07284375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 569.93346875
transcript.pyannote[243].end 572.31284375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 572.31284375
transcript.pyannote[244].end 582.77534375
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 582.77534375
transcript.pyannote[245].end 585.23909375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 585.23909375
transcript.pyannote[246].end 585.42471875
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 585.42471875
transcript.pyannote[247].end 586.70721875
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 587.38221875
transcript.pyannote[248].end 587.39909375
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 587.39909375
transcript.pyannote[249].end 587.41596875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 587.41596875
transcript.pyannote[250].end 587.68596875
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 587.68596875
transcript.pyannote[251].end 587.71971875
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 587.71971875
transcript.pyannote[252].end 587.82096875
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 587.82096875
transcript.pyannote[253].end 587.95596875
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 587.95596875
transcript.pyannote[254].end 587.97284375
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 587.97284375
transcript.pyannote[255].end 588.78284375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 588.78284375
transcript.pyannote[256].end 588.81659375
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 588.81659375
transcript.pyannote[257].end 588.85034375
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 588.85034375
transcript.pyannote[258].end 590.45346875
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 588.93471875
transcript.pyannote[259].end 590.14971875
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 592.02284375
transcript.pyannote[260].end 595.02659375
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 593.59221875
transcript.pyannote[261].end 594.58784375
transcript.whisperx[0].start 0.949
transcript.whisperx[0].end 7.012
transcript.whisperx[0].text 本期邀請我們交通部陳部長請陳部長還有公路局林富山局長請林局長國賢好部長好
transcript.whisperx[1].start 14.639
transcript.whisperx[1].end 31.093
transcript.whisperx[1].text 市長我看今天的各項報告裡面我們公路局有提到一點就是強化道路交通安全打造一個駕駛安全的環境他其中都有特別提到為了減少道路挖掘造成用路人不便
transcript.whisperx[2].start 32.094
transcript.whisperx[2].end 54.207
transcript.whisperx[2].text 所以有特別針對管線的挖掘要推動縮時減量還有提高強度管理以及提升路面整平及道路服務品質部長有一件事情我最近接到一個陳情案我才知道原來我們所謂的管線挖掘它整個作業是這樣子
transcript.whisperx[3].start 55.407
transcript.whisperx[3].end 84.529
transcript.whisperx[3].text 那我去了解一下法律的規定我們在公路法第三十條之一第五款他有特別提到如果管線開挖會開挖管線的使用單位大概就是油電水電信他們通常都是承包給包商嘛那公路法其實法律規定是這樣子第一個你要交一筆錢公路挖掘挖補費用給公路局或者第二個
transcript.whisperx[4].start 85.598
transcript.whisperx[4].end 105.915
transcript.whisperx[4].text 由這種施工的單位 就管線的機關那麼你要把我完全的修復而且由公路局來監督所以實際上在挖的之前 他要申請許可那麼挖路的單位 他就會提出一個叫做工程計畫
transcript.whisperx[5].start 107.438
transcript.whisperx[5].end 134.406
transcript.whisperx[5].text 就是說我歐料 管溝鋪面 AC啦 厚度怎麼修人行道呢 都要修道路平整 以及道路標線反正所有你都給人家恢復啦 普通的才有意思嘛你來給我歐錄 你來給我錄修就好但是我們 現在喔 再多修一條線啦 叫做公路的挖浦費啦
transcript.whisperx[6].start 135.592
transcript.whisperx[6].end 162.082
transcript.whisperx[6].text 法律規定是二折一啦那請問部長那你為什麼兩筆都收施工單位要把道路給恢復還要再交一筆錢包商跟我陳情啦他要交1500多萬他說我幫你做好了我按照你的要求做好也讓你們公路局來驗收
transcript.whisperx[7].start 164.266
transcript.whisperx[7].end 169.848
transcript.whisperx[7].text 若是我幫你修補回來 你為什麼要給我收一筆錢部長 你覺得這樣合理嗎
transcript.whisperx[8].start 171.671
transcript.whisperx[8].end 194.654
transcript.whisperx[8].text 報告委員如果是他已經修復啦因為我們原本的概念是代收代付就是說我收了你的錢我來負責把它補好那現在如果是廠商已經把它做好的話他其實是有個歷史嚴格為什麼會演變成這樣我是不是請局長來補充好不好歷史嚴格依法規定還有什麼歷史嚴格從過去變到現在我請局長來跟您補充
transcript.whisperx[9].start 196.126
transcript.whisperx[9].end 223.508
transcript.whisperx[9].text 這跟我跟委員報告確實在這個就是說在生死條之一第五項的部分大概有兩種一個部分的話基本上就是由這個大陸主管機關來做代辦那另外一個部分的話就是管縣挖掘單位自行來做這個修復那我跟委員報告一下就是說就這個收繳挖捕費這個部分在七十幾年在生物時代的時候基本上是用收織並列的方式來處理你要告訴我生物時代兩行兼一行啦
transcript.whisperx[10].start 224.799
transcript.whisperx[10].end 249.614
transcript.whisperx[10].text 你挖施工單位路如果補平了那你驗收通過就恢復原狀了嘛你憑什麼再給人家收道路挖補費啊你如果要修道路挖補費也沒關係啦那你工種你自己去施工做就好嘛你不能兩個都要法律規定也這樣子來你拿法律給法律條我們看一下
transcript.whisperx[11].start 252.203
transcript.whisperx[11].end 256.907
transcript.whisperx[11].text 公路法第30條之一的第五項二則一來 部長你看一下
transcript.whisperx[12].start 258.038
transcript.whisperx[12].end 284.716
transcript.whisperx[12].text 根本報告公路法規定的部分是確實陳委員所提到的部分就是公路局來做處理或者是這一個管線挖掘單位他們來做一個這個處理那我根本要就是說進一步說明的部分的話就是一個挖掘的這個動作大概有分兩階段第一個部分是交尾開始挖 挖完之後那這個要立即這個讓這個道路可以所以會你回答我的問題你也給我 你也給我後備說 說下去
transcript.whisperx[13].start 286.797
transcript.whisperx[13].end 288.118
transcript.whisperx[13].text 現在的發生的實際狀況多年來我現在才發現第一個
transcript.whisperx[14].start 304.246
transcript.whisperx[14].end 322.357
transcript.whisperx[14].text 你挖入要申請許可這是一筆錢行政備用你審查那第二個歐盧的人當然要把那個留守得好但是這兩個風險嘛他要給我們恢復原狀要嘛他錢給我們我們來做嘛你現在都是兩個都要嘛好那現在產生一個問題
transcript.whisperx[15].start 324.099
transcript.whisperx[15].end 340.97
transcript.whisperx[15].text 現在大部分的施工單位他會順便幫你鋪平因為你要求他 你要鋪平你交通部也公務局也不要自己做你都叫人家幫你做就好但是你要多收一筆錢部長五年來我統計過啦你超收四十億啦問題是這四十個隊隊預算書看不到啊你用這套集他變成你
transcript.whisperx[16].start 352.608
transcript.whisperx[16].end 354.396
transcript.whisperx[16].text 公路局各地方分局的小金庫嗎
transcript.whisperx[17].start 359.748
transcript.whisperx[17].end 381.939
transcript.whisperx[17].text 部長 你知道嗎報告委員 這個部分因為有時候廠商他在挖啦他只會挖一個車道或者是局部他只會補那個局部但是對公路局來講 他必須要整個改善所以這個預算他其實是拿來做整個後續的改善我跟你講 如果他沒有恢復原狀你公路局不會放過他啦對 但是就會變成一塊那你不可以再讓他收這條錢啦
transcript.whisperx[18].start 383.763
transcript.whisperx[18].end 409.14
transcript.whisperx[18].text 好 那我問你 如果你收了這筆錢 就是用在原地 你們部長講的 你有嗎你敢保證嗎 不要胡說八道 我跟你說我跟委員報告就是說 這筆錢收進來之後 它的用途一定是用在鋪面養護上面哪一條路叫你講是 你給我收這條錢 我給你歐價 你收我的錢 那我就是負責把這個地方弄好嘛
transcript.whisperx[19].start 410.643
transcript.whisperx[19].end 429.822
transcript.whisperx[19].text 這東西收起後 流向何處沒有人可以查了委員在講的這個我們會要求就是說公務端那邊要更精細的一定要用在那個地方 不能更精細不然你就修法我兩個都要你現在法律規定部長 你是部長耶依法行政耶
transcript.whisperx[20].start 430.854
transcript.whisperx[20].end 445.74
transcript.whisperx[20].text 我們公路法三十一條 三十條之一 第五項很清楚的 歐羅的單位就是兩個做法要嘛道路恢復 要嘛錢給公路局 公路局自己做現在是兩個都要
transcript.whisperx[21].start 446.984
transcript.whisperx[21].end 471.964
transcript.whisperx[21].text 造成啦,你會把人家...路已經造好了,那麼你修了這件事,流向就不明啦好,鄉委員報告,我們會把暫時性修復跟永久性的修復分清楚啦好,如果他是做永久性的修復,那我們就不要再收錢他如果是做永久性的修復,做到那個程度,我們...他也跟你亂講,公務總要跟他亂講,如果他不是做永久性修復,生意這條錢,那你不能給我弄到別的地方,教育局說是這樣嘛
transcript.whisperx[22].start 473.41
transcript.whisperx[22].end 489.463
transcript.whisperx[22].text 你就不能留用啊所以我就說就不需要精準說在做這一段那以後這條路要重做了是國家要編預算嘛你倒樓本來就有修復的費用嘛公總一年
transcript.whisperx[23].start 491.078
transcript.whisperx[23].end 512.777
transcript.whisperx[23].text 拿幾百的你收你爐你以後這套路如果頂著你本來就被他挖完之後即便是有鋪回來我們的這個維修的頻率會跟原本的規劃的頻率會不一樣一定會增加你又在後面說那你那筆錢有用在原地嗎所以未來要更精準的用在原地才有道理那是二折一還是兩個都要
transcript.whisperx[24].start 516.902
transcript.whisperx[24].end 534.95
transcript.whisperx[24].text 那你拿得出來你手裡這個錢的流線嗎每筆預算跑到 每筆錢跑到 朝夕什麼時候才能拿出來嗎我跟委員報告這個錢絕對不會不會變成這個公務局的這個小信託我跟你講啦 這是要拿去應對就不關我們的事照理說你政府黨委員會的錢都要接受監督耶你五年收了四十億 這錢拿去
transcript.whisperx[25].start 544.431
transcript.whisperx[25].end 568.71
transcript.whisperx[25].text 我告訴你 局長你自己也不知道啦你都在各分局嘛你不要再變啦報告委員您在說的這個我們趕快來檢討我再跟你查下去就很難看啦你以後就是嫁到柳州就好要不然就是嫁到高雄市我們來做兩岸供一趟嘛又要人家收入 又要給人家收錢
transcript.whisperx[26].start 569.983
transcript.whisperx[26].end 589.401
transcript.whisperx[26].text 法律規定就是二折一我們就依法來執行好不好你講的這個我覺得是蠻有道理我們會朝就是說如果他執行修復而且是用永久性的修復就不要再收錢就二折一啦沒有什麼永久性就不永久性修復修復就修復啦我們會朝這個方向好不好 部長我跟你點到為止好不好好 謝謝部長 謝謝局長