iVOD / 168557

Field Value
IVOD_ID 168557
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168557
日期 2026-04-15
會議資料.會議代碼 委員會-11-5-23-7
會議資料.會議代碼:str 第11屆第5會期交通委員會第7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 7
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7次全體委員會議
影片種類 Clip
開始時間 2026-04-15T10:40:57+08:00
結束時間 2026-04-15T10:50:58+08:00
影片長度 00:10:01
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3ec77822e2e6eae32c9c05045781dbe8ba64134b0f452f2ef584cb79d4e23178da828a474ca019315ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳雪生
委員發言時間 10:40:57 - 10:50:58
會議時間 2026-04-15T09:00:00+08:00
會議名稱 立法院第11屆第5會期交通委員會第7次全體委員會議(事由:邀請交通部部長陳世凱、經濟部次長、國家發展委員會副主任委員及農業部就「因應中東情勢,國際油價飆升對於我國陸海空運輸之衝擊評估與因應策略」進行專題報告,並備質詢。【4月15日及16日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.31784375
transcript.pyannote[0].end 2.34284375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 2.68034375
transcript.pyannote[1].end 3.60846875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 5.73471875
transcript.pyannote[2].end 8.83971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 14.07096875
transcript.pyannote[3].end 14.45909375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 15.69096875
transcript.pyannote[4].end 17.69909375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 18.28971875
transcript.pyannote[5].end 20.66909375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 21.46221875
transcript.pyannote[6].end 22.62659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 23.79096875
transcript.pyannote[7].end 24.60096875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 23.80784375
transcript.pyannote[8].end 28.73534375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 28.73534375
transcript.pyannote[9].end 34.13534375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 34.92846875
transcript.pyannote[10].end 35.63721875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 37.00409375
transcript.pyannote[11].end 44.41221875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 45.12096875
transcript.pyannote[12].end 51.83721875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 53.27159375
transcript.pyannote[13].end 53.79471875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 54.90846875
transcript.pyannote[14].end 56.57909375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 57.28784375
transcript.pyannote[15].end 58.99221875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 58.99221875
transcript.pyannote[16].end 61.11846875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 60.81471875
transcript.pyannote[17].end 62.09721875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 69.77534375
transcript.pyannote[18].end 70.31534375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 70.97346875
transcript.pyannote[19].end 73.45409375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 74.34846875
transcript.pyannote[20].end 75.51284375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 75.59721875
transcript.pyannote[21].end 79.32659375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 80.10284375
transcript.pyannote[22].end 82.07721875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 82.90409375
transcript.pyannote[23].end 85.21596875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 86.02596875
transcript.pyannote[24].end 87.73034375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 88.48971875
transcript.pyannote[25].end 92.28659375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 93.01221875
transcript.pyannote[26].end 94.54784375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 95.22284375
transcript.pyannote[27].end 99.03659375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 99.34034375
transcript.pyannote[28].end 100.53846875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 101.31471875
transcript.pyannote[29].end 104.20034375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 104.87534375
transcript.pyannote[30].end 105.56721875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 106.81596875
transcript.pyannote[31].end 108.28409375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 108.84096875
transcript.pyannote[32].end 110.68034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 111.11909375
transcript.pyannote[33].end 112.01346875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 112.89096875
transcript.pyannote[34].end 113.19471875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 113.92034375
transcript.pyannote[35].end 115.25346875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 116.31659375
transcript.pyannote[36].end 118.07159375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 118.81409375
transcript.pyannote[37].end 127.06596875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 127.18409375
transcript.pyannote[38].end 141.02159375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 141.69659375
transcript.pyannote[39].end 145.51034375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 145.76346875
transcript.pyannote[40].end 155.02784375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 155.66909375
transcript.pyannote[41].end 158.04846875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 158.47034375
transcript.pyannote[42].end 161.00159375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 161.76096875
transcript.pyannote[43].end 164.56221875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 165.01784375
transcript.pyannote[44].end 167.24534375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 167.71784375
transcript.pyannote[45].end 172.56096875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 169.55721875
transcript.pyannote[46].end 170.29971875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 173.74221875
transcript.pyannote[47].end 176.64471875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 177.97784375
transcript.pyannote[48].end 179.00721875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 179.27721875
transcript.pyannote[49].end 180.01971875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 181.30221875
transcript.pyannote[50].end 183.24284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 184.22159375
transcript.pyannote[51].end 187.22534375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 188.49096875
transcript.pyannote[52].end 189.52034375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 190.24596875
transcript.pyannote[53].end 190.92096875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 192.22034375
transcript.pyannote[54].end 194.59971875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 195.71346875
transcript.pyannote[55].end 196.42221875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 199.39221875
transcript.pyannote[56].end 201.46784375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 201.92346875
transcript.pyannote[57].end 203.08784375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 203.81346875
transcript.pyannote[58].end 206.51346875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 207.99846875
transcript.pyannote[59].end 210.31034375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 211.86284375
transcript.pyannote[60].end 213.68534375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 215.27159375
transcript.pyannote[61].end 216.14909375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 217.24596875
transcript.pyannote[62].end 218.07284375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 218.78159375
transcript.pyannote[63].end 220.62096875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 221.80221875
transcript.pyannote[64].end 225.66659375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 226.94909375
transcript.pyannote[65].end 228.34971875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 229.05846875
transcript.pyannote[66].end 229.91909375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 229.98659375
transcript.pyannote[67].end 230.13846875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 230.13846875
transcript.pyannote[68].end 230.84721875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 231.08346875
transcript.pyannote[69].end 231.91034375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 231.55596875
transcript.pyannote[70].end 233.04096875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 231.92721875
transcript.pyannote[71].end 231.94409375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 231.97784375
transcript.pyannote[72].end 232.19721875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 234.35721875
transcript.pyannote[73].end 234.64409375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 235.42034375
transcript.pyannote[74].end 236.26409375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 237.32721875
transcript.pyannote[75].end 239.67284375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 240.17909375
transcript.pyannote[76].end 240.51659375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 241.12409375
transcript.pyannote[77].end 247.53659375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 248.36346875
transcript.pyannote[78].end 249.66284375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 249.96659375
transcript.pyannote[79].end 251.02971875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 251.02971875
transcript.pyannote[80].end 251.36721875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 251.68784375
transcript.pyannote[81].end 252.73409375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 252.24471875
transcript.pyannote[82].end 253.52721875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 254.72534375
transcript.pyannote[83].end 256.17659375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 256.51409375
transcript.pyannote[84].end 257.49284375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 257.86409375
transcript.pyannote[85].end 258.26909375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 258.85971875
transcript.pyannote[86].end 258.87659375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 258.87659375
transcript.pyannote[87].end 259.06221875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 261.15471875
transcript.pyannote[88].end 262.33596875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 262.58909375
transcript.pyannote[89].end 263.38221875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 263.68596875
transcript.pyannote[90].end 264.32721875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 265.28909375
transcript.pyannote[91].end 265.86284375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 267.44909375
transcript.pyannote[92].end 268.49534375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 268.96784375
transcript.pyannote[93].end 271.78596875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 272.08971875
transcript.pyannote[94].end 273.96284375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 274.46909375
transcript.pyannote[95].end 276.00471875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 276.91596875
transcript.pyannote[96].end 278.24909375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 278.80596875
transcript.pyannote[97].end 280.39221875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 281.43846875
transcript.pyannote[98].end 282.63659375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 283.37909375
transcript.pyannote[99].end 285.38721875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 286.28159375
transcript.pyannote[100].end 287.10846875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 288.40784375
transcript.pyannote[101].end 290.65221875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 291.71534375
transcript.pyannote[102].end 293.31846875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 294.82034375
transcript.pyannote[103].end 296.50784375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 297.06471875
transcript.pyannote[104].end 298.39784375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 298.70159375
transcript.pyannote[105].end 298.98846875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 299.88284375
transcript.pyannote[106].end 302.56596875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 304.33784375
transcript.pyannote[107].end 305.51909375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 307.51034375
transcript.pyannote[108].end 308.99534375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 310.07534375
transcript.pyannote[109].end 311.40846875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 311.71221875
transcript.pyannote[110].end 313.29846875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 313.92284375
transcript.pyannote[111].end 316.16721875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 316.16721875
transcript.pyannote[112].end 337.02471875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 326.25846875
transcript.pyannote[113].end 326.68034375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 337.02471875
transcript.pyannote[114].end 339.47159375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 338.86409375
transcript.pyannote[115].end 340.73721875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 339.92721875
transcript.pyannote[116].end 341.02409375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 340.78784375
transcript.pyannote[117].end 348.60096875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 347.60534375
transcript.pyannote[118].end 351.19971875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 351.80721875
transcript.pyannote[119].end 352.04346875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 352.04346875
transcript.pyannote[120].end 354.28784375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 354.82784375
transcript.pyannote[121].end 357.12284375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 358.23659375
transcript.pyannote[122].end 362.72534375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 364.75034375
transcript.pyannote[123].end 365.67846875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 365.79659375
transcript.pyannote[124].end 369.18846875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 369.30659375
transcript.pyannote[125].end 373.91346875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 374.04846875
transcript.pyannote[126].end 375.75284375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 376.34346875
transcript.pyannote[127].end 379.06034375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 379.70159375
transcript.pyannote[128].end 380.12346875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 380.27534375
transcript.pyannote[129].end 381.45659375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 382.28346875
transcript.pyannote[130].end 382.80659375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 383.24534375
transcript.pyannote[131].end 384.52784375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 384.81471875
transcript.pyannote[132].end 385.94534375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 386.38409375
transcript.pyannote[133].end 387.70034375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 387.86909375
transcript.pyannote[134].end 388.59471875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 389.50596875
transcript.pyannote[135].end 391.14284375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 393.48846875
transcript.pyannote[136].end 394.31534375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 395.83409375
transcript.pyannote[137].end 398.83784375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 399.05721875
transcript.pyannote[138].end 399.07409375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 399.07409375
transcript.pyannote[139].end 399.73221875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 399.73221875
transcript.pyannote[140].end 402.21284375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 399.74909375
transcript.pyannote[141].end 399.78284375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 401.92596875
transcript.pyannote[142].end 403.90034375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 403.90034375
transcript.pyannote[143].end 406.48221875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 407.46096875
transcript.pyannote[144].end 408.99659375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 408.89534375
transcript.pyannote[145].end 409.60409375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 409.60409375
transcript.pyannote[146].end 412.13534375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 409.67159375
transcript.pyannote[147].end 409.73909375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 411.17346875
transcript.pyannote[148].end 412.97909375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 414.90284375
transcript.pyannote[149].end 418.83471875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 418.78409375
transcript.pyannote[150].end 420.03284375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 420.04971875
transcript.pyannote[151].end 420.92721875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 421.78784375
transcript.pyannote[152].end 423.15471875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 423.84659375
transcript.pyannote[153].end 425.44971875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 426.12471875
transcript.pyannote[154].end 428.01471875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 428.74034375
transcript.pyannote[155].end 430.61346875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 430.86659375
transcript.pyannote[156].end 431.13659375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 431.13659375
transcript.pyannote[157].end 431.15346875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 431.54159375
transcript.pyannote[158].end 433.02659375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 433.02659375
transcript.pyannote[159].end 433.04346875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 433.90409375
transcript.pyannote[160].end 434.19096875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 435.01784375
transcript.pyannote[161].end 436.99221875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 437.38034375
transcript.pyannote[162].end 439.25346875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 439.77659375
transcript.pyannote[163].end 442.69596875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 443.15159375
transcript.pyannote[164].end 444.16409375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 444.75471875
transcript.pyannote[165].end 446.39159375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 446.49284375
transcript.pyannote[166].end 446.79659375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 447.31971875
transcript.pyannote[167].end 448.28159375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 448.85534375
transcript.pyannote[168].end 451.36971875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 452.55096875
transcript.pyannote[169].end 453.22596875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 454.12034375
transcript.pyannote[170].end 457.90034375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 457.96784375
transcript.pyannote[171].end 463.73909375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 463.04721875
transcript.pyannote[172].end 467.92409375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 468.70034375
transcript.pyannote[173].end 471.06284375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 472.14284375
transcript.pyannote[174].end 474.28596875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 475.14659375
transcript.pyannote[175].end 476.85096875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 478.65659375
transcript.pyannote[176].end 480.73221875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 481.30596875
transcript.pyannote[177].end 482.38596875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 483.73596875
transcript.pyannote[178].end 487.06034375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 487.65096875
transcript.pyannote[179].end 511.69784375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 491.36346875
transcript.pyannote[180].end 492.15659375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 492.37596875
transcript.pyannote[181].end 493.05096875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 510.98909375
transcript.pyannote[182].end 513.75659375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 513.94221875
transcript.pyannote[183].end 517.70534375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 518.49846875
transcript.pyannote[184].end 518.76846875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 518.92034375
transcript.pyannote[185].end 521.38409375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 522.27846875
transcript.pyannote[186].end 524.01659375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 524.79284375
transcript.pyannote[187].end 525.85596875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 527.32409375
transcript.pyannote[188].end 528.77534375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 529.06221875
transcript.pyannote[189].end 529.83846875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 530.09159375
transcript.pyannote[190].end 531.37409375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 531.59346875
transcript.pyannote[191].end 532.84221875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 533.14596875
transcript.pyannote[192].end 534.54659375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 534.93471875
transcript.pyannote[193].end 537.16221875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 537.75284375
transcript.pyannote[194].end 538.84971875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 539.23784375
transcript.pyannote[195].end 540.67221875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 541.66784375
transcript.pyannote[196].end 544.30034375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 544.92471875
transcript.pyannote[197].end 547.59096875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 549.17721875
transcript.pyannote[198].end 549.86909375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 550.02096875
transcript.pyannote[199].end 558.94784375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 559.82534375
transcript.pyannote[200].end 560.73659375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 559.96034375
transcript.pyannote[201].end 560.58471875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 561.12471875
transcript.pyannote[202].end 561.66471875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 561.71534375
transcript.pyannote[203].end 564.17909375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 564.26346875
transcript.pyannote[204].end 564.55034375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 564.88784375
transcript.pyannote[205].end 568.36409375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 568.58346875
transcript.pyannote[206].end 568.90409375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 569.88284375
transcript.pyannote[207].end 571.30034375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 572.38034375
transcript.pyannote[208].end 572.85284375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 573.30846875
transcript.pyannote[209].end 580.07534375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 580.81784375
transcript.pyannote[210].end 582.18471875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 582.26909375
transcript.pyannote[211].end 584.81721875
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 585.45846875
transcript.pyannote[212].end 587.73659375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 587.82096875
transcript.pyannote[213].end 588.14159375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 588.37784375
transcript.pyannote[214].end 589.77846875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 590.09909375
transcript.pyannote[215].end 591.36471875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 592.19159375
transcript.pyannote[216].end 594.19971875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 595.78596875
transcript.pyannote[217].end 596.61284375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 596.74784375
transcript.pyannote[218].end 597.54096875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 597.77721875
transcript.pyannote[219].end 600.07221875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 597.79409375
transcript.pyannote[220].end 598.68846875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 600.07221875
transcript.pyannote[221].end 600.40971875
transcript.whisperx[0].start 0.325
transcript.whisperx[0].end 3.347
transcript.whisperx[0].text 好,謝謝召委,是不是請部長好,請陳部長陳部長,恭請陳部長部長今天天氣很好天氣還蠻溫暖蠻溫暖的,馬祖霧很大
transcript.whisperx[1].start 24.715
transcript.whisperx[1].end 50.696
transcript.whisperx[1].text 這個季節,春天馬祖跟金門霧的機率比較高一些來個雨,太陽一出來,霧很大,雲高也不對,能見度也不行所以最近我們那個新台馬輪發揮很大的作用然後那個小船,南北海運,他的小船500噸也發揮很大的功能把一些旅客、觀光客、我們民眾都運過來
transcript.whisperx[2].start 55.069
transcript.whisperx[2].end 62.071
transcript.whisperx[2].text 還有那個是不是請一下那個誰?華航董事長,高董事長高董,我們請華航的高董事長高董,我今天要讚美你,你真的好棒棒你當了董事長,我跟謝董很好,我跟你還不是很好後來當然現在也很好了
transcript.whisperx[3].start 83.227
transcript.whisperx[3].end 111.727
transcript.whisperx[3].text 你不但飛了馬祖,承載了我們的航空然後還要加班,還要再飛一架次禮拜一這個計畫成熟了沒有?現在就等第13架的ATR到了就可以了昨天我們副昆吉總召很緊張你要把花蓮現在油價的因素是不是要停掉?有這個打算嗎?
transcript.whisperx[4].start 113.971
transcript.whisperx[4].end 140.204
transcript.whisperx[4].text 我目前是想說你麥克風拿起來講話跟委員報告一下我們現在希望的就是說在某一些情況之下不要浪費掉那個運能把這個運能放到在那個地面交通沒有辦法到達的像離島啊這個是比較對我們來講對民生來講是應該是比較重要的那個航線目前都還在討論當中
transcript.whisperx[5].start 141.738
transcript.whisperx[5].end 160.843
transcript.whisperx[5].text 不過基於對委員的尊重,區域委員有他的壓力,還是要溝通協調好不好?是尤其在油料上漲,我一直生怕說你們當然你沒得停了啦,你一個禮拜只有一班嘛對不對?利融的話我就怕他減班啊幹什麼的,當然利融是民間的航空公司啊
transcript.whisperx[6].start 161.82
transcript.whisperx[6].end 182.257
transcript.whisperx[6].text 所以我覺得高董上來以後,對我們釋出很大的善意好不好?部長,你要不會保養他一下?當然當然好,請回部長講到航空公司,我再提一下昨天國發會有開會,對我們有關相關離島的一些補助很糟糕
transcript.whisperx[7].start 192.387
transcript.whisperx[7].end 220.416
transcript.whisperx[7].text 昨天就已經否決了不同意了如果部長如果你站在我的角度你是立法委員你站在這裡然後你在那邊審預算那我們很多的預算已經被否決掉了你叫我審預算審什麼預算你叫我審預算審誰的預算我的預算都被你否決掉啦
transcript.whisperx[8].start 221.857
transcript.whisperx[8].end 249.187
transcript.whisperx[8].text 那我一定全部都把他砍掉嘛一定是這樣嘛如果是你是不是這樣子如果你是立法委會不會這樣不一定啦看情況不一定喔有嗎你學佛的啊你是哪一教的天主教基督教我找不到這樣的信徒欸是嗎我昨天已經知道你把我地區的預算都已經全部砍掉國防署有沒有來國防署在這邊
transcript.whisperx[9].start 249.997
transcript.whisperx[9].end 275.654
transcript.whisperx[9].text 國防署在哪裡副署長對不起禮報預算全部都砍掉了國防署沒有砍有行銷活動行銷活動及智慧旅遊品質提升計畫離島基金你們要給五千六百萬昨天已經很像就沒了
transcript.whisperx[10].start 277.24
transcript.whisperx[10].end 302.69
transcript.whisperx[10].text 現在中央是交通部公安署你們也沒辦法保證那這個契機中間就停擺了嘛停擺了那你要這個基金幹什麼?離島基金啊離島基金你國防會都不給不是只有金門馬祖耶金門馬祖是國民黨的還有澎湖,澎湖是民進黨籍的執政耶這個不能這樣搞嘛
transcript.whisperx[11].start 307.541
transcript.whisperx[11].end 307.885
transcript.whisperx[11].text 你這樣審一審叫我怎麼審
transcript.whisperx[12].start 310.134
transcript.whisperx[12].end 338.32
transcript.whisperx[12].text 我連審都不審啦現在不是馬上要審預算了嗎你這種態度的話你叫我怎麼審得下去像委員報告齁您在說的這個行銷的部分齁是因為馬祖的這個縣政府連江縣政府啦齁他們提出計畫的時間有比較晚一點所以有點來不及不過我們觀光署已經有跟這個國發會這邊來協調過了現在送過來之後我們後續還是會來協助他齁來爭取到這個預算我們要審預算也是延後啦已經
transcript.whisperx[13].start 339.94
transcript.whisperx[13].end 362.527
transcript.whisperx[13].text 多少天沒審啊報告委員這個部分不用擔心這個部分我們已經跟國發會已經有共識了是當時連江縣政府送的比較慢不是不用擔心我是不吵架啊你不用擔心你講不用擔心你看還有那個與神同行2.0媽祖海巡媽祖平安祈福你們給540萬我們這個60萬都被打回票了都沒有了
transcript.whisperx[14].start 364.758
transcript.whisperx[14].end 391.027
transcript.whisperx[14].text 這沒有道理吧委員我剛剛有講過這個也包含在剛剛那個案子裡面我們已經跟國發會有共識了我們後面會來協助他把這個預算好還有上一次我諮詢你大邱那個旅遊活動中心一億多都蓋好了現在第二期機會五千萬我現在蓋了一半蓋了一半房子在那邊等等進度等進度你現在五千萬你不撥那個是我們
transcript.whisperx[15].start 395.902
transcript.whisperx[15].end 420.522
transcript.whisperx[15].text 我們縣政府代執行你知道嗎本來這個是官方所要去執行的啦大邱這個沒有問題啦這個部分沒問題總預算過了都不會有問題總預算過了不會有問題對啊不會有問題你說哪裡總預算這一次的大邱說的大邱二期因為財化法的緣故啦其他的不會那等你們預算通過
transcript.whisperx[16].start 421.823
transcript.whisperx[16].end 451.141
transcript.whisperx[16].text 沒通過就擺在那邊曬風吹日曬雨淋這好像不是一個政府的態度吧沒通過不能花錢沒通過錢就不能花你站在我的立場你如果是立法委員的話你面對你交通部的預算你怎麼樣去處理它怎麼樣去審它將心比心你想好以後你不要說我拿著刀子在砍你們在殺你們
transcript.whisperx[17].start 452.774
transcript.whisperx[17].end 476.43
transcript.whisperx[17].text 這樣合理嗎?報告委員,您剛剛所關心的那個期期的部分,這個行銷的費用我也跟您報告了,現在第三次,這個沒有問題,我們跟國發會已經有共識所以這個不會造成任何問題你只是講其中之一,我剛才跟你講的那只是蓋房子蓋一半還有,航空機駐地備勤的經費補助這裡面牽涉到東影跟那個,你們只補助了多少錢?
transcript.whisperx[18].start 478.663
transcript.whisperx[18].end 479.544
transcript.whisperx[18].text 很像只給了2153萬
transcript.whisperx[19].start 483.757
transcript.whisperx[19].end 512.596
transcript.whisperx[19].text 你這影響到舉官跟民眾的交通權益,你回去查一下好不好好,報告委員這個部分我還第一次聽到,那我回去瞭解一下沒關係,你回去查一下好不好報告委員,這個也是因為財化法的因素啦您剛剛在講大邱那個也是財化法的因素,那這個也是一樣就是說錢都是政府的,那現在多一些已經在地方政府了那地方政府就可以負起更大的責任那我們這邊也不會把錢留住,我們能夠花的錢我們一定會補助到地方政府現在的財政部跟主計總處
transcript.whisperx[20].start 514.077
transcript.whisperx[20].end 540.493
transcript.whisperx[20].text 一直拿說財化法的問題來空我們全國各縣市財化法都占到便宜唯獨馬祖是負的負的現在財政部給一個正的正的也就幫你平衡而已好啦 那很多錢你們要地方政府去租我地方政府也只是打平而已我沒有賺到錢不像其他各縣市政府
transcript.whisperx[21].start 541.881
transcript.whisperx[21].end 558.772
transcript.whisperx[21].text 金門多了一百多億啊我們沒有多啊,我們一兩億都沒多啊不公平嘛報告委員其實交通部也沒有賺到錢,交通部也是減少的啊那我們只要我們擁有的預算一定會全力來協助地方,這個您放心
transcript.whisperx[22].start 561.182
transcript.whisperx[22].end 587.481
transcript.whisperx[22].text 不是,我沒有去責難你的意思,我是希望就是說你將心比心嘛,你也是立法委員的立場來看待交通部好不好你不要一直站在交通部的立場來看我們立法委員有沒有在那邊胡扯亂扯我沒有欸我對你們是很有善的委員都是為了地方在爭取這個我了解有啊,我也為了你們交通部也在努力啊
transcript.whisperx[23].start 588.442
transcript.whisperx[23].end 600.137
transcript.whisperx[23].text 是不是,每次審議算,我們召委、拒絕委員跟我,你看同事多少年了是不是,好不好謝謝委員那他在說我了齁,時間到了我就不講了好