iVOD / 160931

Field Value
IVOD_ID 160931
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160931
日期 2025-05-02
會議資料.會議代碼 院會-11-3-10
會議資料.會議代碼:str 第11屆第3會期第10次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 10
會議資料.種類 院會
會議資料.標題 第11屆第3會期第10次會議
影片種類 Clip
開始時間 2025-05-02T11:46:04+08:00
結束時間 2025-05-02T12:01:35+08:00
影片長度 00:15:31
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a4532f731e18a3f66104c61dba9752d4d65e820d1de88fa50bf0456a4f25e5f69be7746c6163105b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 許智傑
委員發言時間 11:46:04 - 12:01:35
會議時間 2025-05-02T09:00:00+08:00
會議名稱 第11屆第3會期第10次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、5月2日上午9時至10時為國是論壇時間。三、5月6日下午2時15分至2時30分為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.11534375
transcript.pyannote[0].end 2.46096875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 2.57909375
transcript.pyannote[1].end 4.63784375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 13.53096875
transcript.pyannote[2].end 14.29034375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 15.55596875
transcript.pyannote[3].end 16.24784375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 16.75409375
transcript.pyannote[4].end 18.10409375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 18.49221875
transcript.pyannote[5].end 22.39034375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 22.74471875
transcript.pyannote[6].end 23.89221875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 24.41534375
transcript.pyannote[7].end 31.40159375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 31.80659375
transcript.pyannote[8].end 33.40971875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 33.62909375
transcript.pyannote[9].end 38.03346875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 38.43846875
transcript.pyannote[10].end 43.80471875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 44.17596875
transcript.pyannote[11].end 51.21284375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 51.65159375
transcript.pyannote[12].end 53.60909375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 53.81159375
transcript.pyannote[13].end 61.52346875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 61.81034375
transcript.pyannote[14].end 70.61909375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 65.75909375
transcript.pyannote[15].end 65.77596875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 70.87221875
transcript.pyannote[16].end 80.77784375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 80.91284375
transcript.pyannote[17].end 82.70159375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 83.17409375
transcript.pyannote[18].end 83.95034375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 84.23721875
transcript.pyannote[19].end 88.54034375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 89.08034375
transcript.pyannote[20].end 94.15971875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 94.64909375
transcript.pyannote[21].end 95.40846875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 95.77971875
transcript.pyannote[22].end 102.25971875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 102.83346875
transcript.pyannote[23].end 105.12846875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 105.46596875
transcript.pyannote[24].end 112.50284375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 112.78971875
transcript.pyannote[25].end 121.88534375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 122.30721875
transcript.pyannote[26].end 127.50471875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 128.31471875
transcript.pyannote[27].end 128.92221875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 129.93471875
transcript.pyannote[28].end 137.47784375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 138.00096875
transcript.pyannote[29].end 145.07159375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 145.32471875
transcript.pyannote[30].end 147.95721875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 148.42971875
transcript.pyannote[31].end 154.09971875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 154.16721875
transcript.pyannote[32].end 159.33096875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 160.17471875
transcript.pyannote[33].end 165.13596875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 165.57471875
transcript.pyannote[34].end 170.83971875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 171.19409375
transcript.pyannote[35].end 174.70409375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 175.64909375
transcript.pyannote[36].end 176.03721875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 176.29034375
transcript.pyannote[37].end 180.64409375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 181.15034375
transcript.pyannote[38].end 191.03909375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 191.35971875
transcript.pyannote[39].end 204.99471875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 205.18034375
transcript.pyannote[40].end 214.86659375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 214.93409375
transcript.pyannote[41].end 215.47409375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 215.50784375
transcript.pyannote[42].end 218.95034375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 219.84471875
transcript.pyannote[43].end 225.10971875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 225.61596875
transcript.pyannote[44].end 228.58596875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 228.82221875
transcript.pyannote[45].end 250.00034375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 251.51909375
transcript.pyannote[46].end 254.37096875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 252.27846875
transcript.pyannote[47].end 257.22284375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 255.01221875
transcript.pyannote[48].end 255.99096875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 256.86846875
transcript.pyannote[49].end 264.73221875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 259.31534375
transcript.pyannote[50].end 259.63596875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 264.78284375
transcript.pyannote[51].end 271.22909375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 271.80284375
transcript.pyannote[52].end 279.12659375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 279.44721875
transcript.pyannote[53].end 282.50159375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 283.12596875
transcript.pyannote[54].end 283.93596875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 283.27784375
transcript.pyannote[55].end 284.67846875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 284.79659375
transcript.pyannote[56].end 289.94346875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 289.96034375
transcript.pyannote[57].end 290.83784375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 290.38221875
transcript.pyannote[58].end 292.27221875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 292.50846875
transcript.pyannote[59].end 293.52096875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 293.09909375
transcript.pyannote[60].end 294.29721875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 294.29721875
transcript.pyannote[61].end 303.24096875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 304.11846875
transcript.pyannote[62].end 307.12221875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 307.64534375
transcript.pyannote[63].end 310.98659375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 310.98659375
transcript.pyannote[64].end 311.45909375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 311.67846875
transcript.pyannote[65].end 315.17159375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 315.39096875
transcript.pyannote[66].end 317.44971875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 317.75346875
transcript.pyannote[67].end 318.47909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 318.78284375
transcript.pyannote[68].end 319.47471875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 320.09909375
transcript.pyannote[69].end 322.79909375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 322.76534375
transcript.pyannote[70].end 323.84534375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 324.79034375
transcript.pyannote[71].end 331.43909375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 331.86096875
transcript.pyannote[72].end 344.78721875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 336.80534375
transcript.pyannote[73].end 337.27784375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 337.27784375
transcript.pyannote[74].end 337.29471875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 337.31159375
transcript.pyannote[75].end 337.32846875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 345.04034375
transcript.pyannote[76].end 351.50346875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 345.07409375
transcript.pyannote[77].end 345.44534375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 351.72284375
transcript.pyannote[78].end 356.93721875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 357.57846875
transcript.pyannote[79].end 359.14784375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 359.41784375
transcript.pyannote[80].end 361.08846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 361.88159375
transcript.pyannote[81].end 362.92784375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 363.61971875
transcript.pyannote[82].end 365.88096875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 366.57284375
transcript.pyannote[83].end 370.80846875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 370.94346875
transcript.pyannote[84].end 373.47471875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 374.04846875
transcript.pyannote[85].end 375.02721875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 375.26346875
transcript.pyannote[86].end 377.17034375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 377.52471875
transcript.pyannote[87].end 383.95409375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 384.40971875
transcript.pyannote[88].end 390.85596875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 391.34534375
transcript.pyannote[89].end 392.93159375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 393.53909375
transcript.pyannote[90].end 396.18846875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 396.47534375
transcript.pyannote[91].end 399.52971875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 399.96846875
transcript.pyannote[92].end 407.05596875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 407.12346875
transcript.pyannote[93].end 408.33846875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 408.89534375
transcript.pyannote[94].end 411.07221875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 411.66284375
transcript.pyannote[95].end 415.32471875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 415.40909375
transcript.pyannote[96].end 427.71096875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 428.11596875
transcript.pyannote[97].end 435.11909375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 435.23721875
transcript.pyannote[98].end 446.05409375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 446.62784375
transcript.pyannote[99].end 452.33159375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 452.50034375
transcript.pyannote[100].end 453.29346875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 453.98534375
transcript.pyannote[101].end 459.06471875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 459.94221875
transcript.pyannote[102].end 472.21034375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 472.54784375
transcript.pyannote[103].end 491.19471875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 491.61659375
transcript.pyannote[104].end 499.54784375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 499.73346875
transcript.pyannote[105].end 501.01596875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 501.20159375
transcript.pyannote[106].end 501.48846875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 502.83846875
transcript.pyannote[107].end 508.30596875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 509.36909375
transcript.pyannote[108].end 509.82471875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 510.43221875
transcript.pyannote[109].end 512.55846875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 513.11534375
transcript.pyannote[110].end 517.51971875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 517.72221875
transcript.pyannote[111].end 519.40971875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 519.71346875
transcript.pyannote[112].end 521.08034375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 521.45159375
transcript.pyannote[113].end 522.86909375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 525.70409375
transcript.pyannote[114].end 526.36221875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 526.93596875
transcript.pyannote[115].end 529.53471875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 529.92284375
transcript.pyannote[116].end 534.66471875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 535.59284375
transcript.pyannote[117].end 537.01034375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 537.66846875
transcript.pyannote[118].end 543.23721875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 544.09784375
transcript.pyannote[119].end 548.51909375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 549.24471875
transcript.pyannote[120].end 550.81409375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 551.52284375
transcript.pyannote[121].end 552.92346875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 553.49721875
transcript.pyannote[122].end 553.98659375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 555.04971875
transcript.pyannote[123].end 556.36596875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 557.04096875
transcript.pyannote[124].end 567.84096875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 567.97596875
transcript.pyannote[125].end 570.15284375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 570.87846875
transcript.pyannote[126].end 574.00034375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 575.13096875
transcript.pyannote[127].end 576.88596875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 577.15596875
transcript.pyannote[128].end 577.96596875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 579.01221875
transcript.pyannote[129].end 580.85159375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 580.85159375
transcript.pyannote[130].end 596.00534375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 580.88534375
transcript.pyannote[131].end 581.59409375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 585.30659375
transcript.pyannote[132].end 585.71159375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 589.89659375
transcript.pyannote[133].end 590.40284375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 591.04409375
transcript.pyannote[134].end 591.51659375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 596.37659375
transcript.pyannote[135].end 599.97096875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 600.44346875
transcript.pyannote[136].end 600.96659375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 600.89909375
transcript.pyannote[137].end 601.65846875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 600.96659375
transcript.pyannote[138].end 601.00034375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 601.00034375
transcript.pyannote[139].end 601.15221875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 601.92846875
transcript.pyannote[140].end 614.85471875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 609.70784375
transcript.pyannote[141].end 611.66534375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 615.00659375
transcript.pyannote[142].end 615.56346875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 616.13721875
transcript.pyannote[143].end 622.63409375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 623.61284375
transcript.pyannote[144].end 631.32471875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 631.78034375
transcript.pyannote[145].end 649.60034375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 650.73096875
transcript.pyannote[146].end 654.56159375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 654.91596875
transcript.pyannote[147].end 656.72159375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 657.85221875
transcript.pyannote[148].end 658.45971875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 659.13471875
transcript.pyannote[149].end 661.53096875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 661.96971875
transcript.pyannote[150].end 663.69096875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 665.66534375
transcript.pyannote[151].end 665.68221875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 665.68221875
transcript.pyannote[152].end 666.12096875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 665.83409375
transcript.pyannote[153].end 666.03659375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 666.07034375
transcript.pyannote[154].end 668.50034375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 668.50034375
transcript.pyannote[155].end 672.09471875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 672.41534375
transcript.pyannote[156].end 676.83659375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 677.27534375
transcript.pyannote[157].end 683.60346875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 678.16971875
transcript.pyannote[158].end 678.28784375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 682.38846875
transcript.pyannote[159].end 682.92846875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 683.68784375
transcript.pyannote[160].end 688.05846875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 688.64909375
transcript.pyannote[161].end 697.82909375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 698.16659375
transcript.pyannote[162].end 702.70596875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 702.77346875
transcript.pyannote[163].end 706.03034375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 706.41846875
transcript.pyannote[164].end 711.61596875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 711.73409375
transcript.pyannote[165].end 713.28659375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 713.89409375
transcript.pyannote[166].end 718.48409375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 719.58096875
transcript.pyannote[167].end 720.61034375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 722.02784375
transcript.pyannote[168].end 724.18784375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 724.94721875
transcript.pyannote[169].end 728.37284375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 725.13284375
transcript.pyannote[170].end 725.84159375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 728.72721875
transcript.pyannote[171].end 732.33846875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 732.43971875
transcript.pyannote[172].end 735.49409375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 736.00034375
transcript.pyannote[173].end 736.84409375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 737.36721875
transcript.pyannote[174].end 741.92346875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 742.10909375
transcript.pyannote[175].end 744.15096875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 744.57284375
transcript.pyannote[176].end 751.23846875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 751.42409375
transcript.pyannote[177].end 752.72346875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 753.48284375
transcript.pyannote[178].end 759.03471875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 759.49034375
transcript.pyannote[179].end 767.77596875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 767.97846875
transcript.pyannote[180].end 770.17221875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 770.40846875
transcript.pyannote[181].end 772.18034375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 772.38284375
transcript.pyannote[182].end 775.96034375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 776.23034375
transcript.pyannote[183].end 781.03971875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 780.65159375
transcript.pyannote[184].end 785.62971875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 783.57096875
transcript.pyannote[185].end 783.60471875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 783.60471875
transcript.pyannote[186].end 783.62159375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 783.62159375
transcript.pyannote[187].end 790.16909375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 790.32096875
transcript.pyannote[188].end 792.07596875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 792.24471875
transcript.pyannote[189].end 827.47971875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 827.02409375
transcript.pyannote[190].end 831.61409375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 827.47971875
transcript.pyannote[191].end 827.53034375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 827.53034375
transcript.pyannote[192].end 828.07034375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 828.07034375
transcript.pyannote[193].end 828.10409375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 828.10409375
transcript.pyannote[194].end 828.15471875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 828.15471875
transcript.pyannote[195].end 828.20534375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 828.20534375
transcript.pyannote[196].end 828.22221875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 828.22221875
transcript.pyannote[197].end 828.28971875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 828.28971875
transcript.pyannote[198].end 828.30659375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 828.30659375
transcript.pyannote[199].end 828.37409375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 828.37409375
transcript.pyannote[200].end 828.40784375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 828.40784375
transcript.pyannote[201].end 828.47534375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 828.47534375
transcript.pyannote[202].end 828.54284375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 828.54284375
transcript.pyannote[203].end 828.57659375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 828.57659375
transcript.pyannote[204].end 828.82971875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 828.82971875
transcript.pyannote[205].end 828.86346875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 828.86346875
transcript.pyannote[206].end 829.03221875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 829.03221875
transcript.pyannote[207].end 829.75784375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 829.75784375
transcript.pyannote[208].end 829.79159375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 829.79159375
transcript.pyannote[209].end 829.87596875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 829.87596875
transcript.pyannote[210].end 829.97721875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 829.97721875
transcript.pyannote[211].end 830.07846875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 830.07846875
transcript.pyannote[212].end 830.11221875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 830.11221875
transcript.pyannote[213].end 830.14596875
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 831.61409375
transcript.pyannote[214].end 832.03596875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 832.03596875
transcript.pyannote[215].end 833.06534375
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 833.23409375
transcript.pyannote[216].end 837.28409375
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 837.58784375
transcript.pyannote[217].end 838.19534375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 838.26284375
transcript.pyannote[218].end 839.56221875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 840.40596875
transcript.pyannote[219].end 845.36721875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 845.36721875
transcript.pyannote[220].end 846.54846875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 847.03784375
transcript.pyannote[221].end 850.48034375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 851.13846875
transcript.pyannote[222].end 857.28096875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 857.97284375
transcript.pyannote[223].end 860.08221875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 860.60534375
transcript.pyannote[224].end 864.14909375
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 864.55409375
transcript.pyannote[225].end 871.08471875
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 871.60784375
transcript.pyannote[226].end 875.57346875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 875.94471875
transcript.pyannote[227].end 878.03721875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 878.23971875
transcript.pyannote[228].end 895.90784375
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 894.96284375
transcript.pyannote[229].end 897.19034375
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 897.19034375
transcript.pyannote[230].end 897.32534375
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 897.32534375
transcript.pyannote[231].end 897.47721875
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 897.67971875
transcript.pyannote[232].end 905.29034375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 905.40846875
transcript.pyannote[233].end 907.12971875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 907.33221875
transcript.pyannote[234].end 915.98909375
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 916.05659375
transcript.pyannote[235].end 918.58784375
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 918.58784375
transcript.pyannote[236].end 920.34284375
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 920.34284375
transcript.pyannote[237].end 920.79846875
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 920.79846875
transcript.pyannote[238].end 920.96721875
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 920.96721875
transcript.pyannote[239].end 921.05159375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 921.57471875
transcript.pyannote[240].end 922.97534375
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 922.97534375
transcript.pyannote[241].end 931.96971875
transcript.whisperx[0].start 0.069
transcript.whisperx[0].end 2.653
transcript.whisperx[0].text 麻煩再請卓院長 交通部長備詢一個早上
transcript.whisperx[1].start 15.6
transcript.whisperx[1].end 32.887
transcript.whisperx[1].text 徐委員好謝謝院長好首先感謝行政院對高雄的支持我們最近這是去年底國道10號美濃六龜段的動工院長也親自歷列還有高屏二塊
transcript.whisperx[2].start 34.192
transcript.whisperx[2].end 50.745
transcript.whisperx[2].text 這個高雄到屏東的另外一條快速道路也非常的重要還有國道7號現在也在做用地的徵收那明年就可以施工所以這個先感謝院長跟交通部對高雄的支持
transcript.whisperx[3].start 51.861
transcript.whisperx[3].end 80.104
transcript.whisperx[3].text 未來大南方新矽谷是一個國家發展的重鎮我們希望它成為大南方新矽谷的重要的基地也是南向的新的國家的門戶謝謝院長所以將來其實南北雙核心非常的重要所以高雄以前早年都是重北輕南那現在該是重南輕北的時候均衡台灣對就是重南輕北才會均衡台灣所以請
transcript.whisperx[4].start 81.065
transcript.whisperx[4].end 102.034
transcript.whisperx[4].text 院長繼續支持高雄那當然就是說我們在看重大建設眼光還是要放遠一點啦所以有幾個希望院長跟部長再幫忙支持的我在這邊也提出來就是台鐵南梓段它新增南梓園區站跟改善青浦站
transcript.whisperx[5].start 103.075
transcript.whisperx[5].end 128.548
transcript.whisperx[5].text 那這個部分我知道交通部當然也在評估就是說到底台鐵多了一個台積電站南梓園區站是不是太近了我知道交通部有這個疑慮或者是台鐵有這個疑慮但是呢事實上我們來看就是整個如果這個地方沒有做的話我們先看下一張圖讓院長參考一下就是
transcript.whisperx[6].start 130.258
transcript.whisperx[6].end 137.195
transcript.whisperx[6].text 這個台鐵藍紫園區站北端台鐵藍紫站跟南端台鐵新左營站
transcript.whisperx[7].start 138.363
transcript.whisperx[7].end 158.976
transcript.whisperx[7].text 現在如果坐火車到那邊要去台積電將來都會在這邊轉捷運在上下兩個站轉捷運那這個將來勢必會造成擁擠所以我們如果能夠加上台鐵南子園區站也就是所謂的台積電站那台南的可以坐火車直接下來不用在台鐵南子站轉捷運
transcript.whisperx[8].start 160.437
transcript.whisperx[8].end 174.488
transcript.whisperx[8].text 鳳山的屏東的也可以從坐火車上來不用在新左營站轉捷運所以從這個整體的考量來看我認為這個還是有相當的必要所以這個也要請部長跟院長支持
transcript.whisperx[9].start 176.38
transcript.whisperx[9].end 193.537
transcript.whisperx[9].text 那另外就是青浦站青浦站我們將來就是紅線跟紫線的交接紅線跟紫線的交接這個青浦站它也必須要把它山鐵共構將來才會更順暢所以這兩個高雄市政府會提出計畫
transcript.whisperx[10].start 194.638
transcript.whisperx[10].end 217.127
transcript.whisperx[10].text 就年底前會提出計畫那現在在規劃當中那我一直在徵詢交通部跟台鐵的意見那目前意見還不是百分之百match所以我在這邊先提出來讓院長也知道一下那也希望說部長跟台鐵這兩個站對高雄來講非常的重要可以把它規劃進去那再來就是我們的子縣子縣其實
transcript.whisperx[11].start 219.935
transcript.whisperx[11].end 237.732
transcript.whisperx[11].text 全世界到高雄的觀光客幾乎都會想到佛光山去走一走那只限目前的規劃並沒有到佛光山在考慮當中那我知道目前意願並不是很高但是呢佛光山這個地方我認為說不是為了它這一個
transcript.whisperx[12].start 238.813
transcript.whisperx[12].end 249.785
transcript.whisperx[12].text 點本身啦而是整個全世界的觀光客到高雄這個站幾乎都是必去之路必去之站所以這個部分是不是可以請院長跟部長也支持
transcript.whisperx[13].start 251.55
transcript.whisperx[13].end 277.33
transcript.whisperx[13].text 這個是地方政府的規劃我們會尊重地方政府的規劃也請委員跟地方政府能夠多多溝通如果有地方的需求交通部會進行下一個階段如何進行配合跟協助對 就是我們地方政府現在已經著手在規劃那就是說希望說部長跟院長這個是整個往長遠看啦 而不是只是看到現在未來整個大高雄的整體的交通的路線
transcript.whisperx[14].start 278.15
transcript.whisperx[14].end 303.046
transcript.whisperx[14].text 有這個必要性你看台北的捷運跟國用的捷運差這麼多你來看台北發展的比較早對啊所以院長其實都住在台北也很清楚現在台北很多人坐捷運很方便但是高雄為什麼捷運量還不如台北路網必須形成因為它整個路網沒有形成所以路網的形成非常的重要我想我們必須看遠一點所以這個部分希望說院長跟部長可以大力的支持
transcript.whisperx[15].start 304.278
transcript.whisperx[15].end 330.664
transcript.whisperx[15].text 那另外就是我們的鐵路高鐵高鐵其實目前已經決定到高雄車站了那高雄車站到屏東站這個也已經決定了但是我們鳳山車站高鐵站目前不知道部長的規劃怎麼樣院長知不知道曾經就幾個路點啦那個車站設置的點在做一些規劃當中以及將來它的實用性如何請部長再詳細說明
transcript.whisperx[16].start 331.949
transcript.whisperx[16].end 360.764
transcript.whisperx[16].text 是 報告委員其實未來可能的設點的地方因為委員一直很關心鳳山地區未來的發展那目前我們有幾個方案正在討論我們希望說還是預留未來鳳山會設站的這個可能性所以在整個高鐵延伸的案子裡面我們會先把這個案子放進來思考我想就整個路線來思考當然高鐵還是要考慮到成本營運那鳳山這一站其實就是早期
transcript.whisperx[17].start 361.926
transcript.whisperx[17].end 365.794
transcript.whisperx[17].text 早期的那時候的部長應該是毛自國吧
transcript.whisperx[18].start 366.841
transcript.whisperx[18].end 392.547
transcript.whisperx[18].text 就是那個眼光不夠他現在高雄車站他有做高鐵跟台鐵的月台可以共用那鳳山車站他只做台鐵高鐵不能用所以他另外再蓋一個車站對我們來講真的是七腳撐要撐開但是你又不能說不做所以這個部分我們也很痛啦那就是說希望說交通部盡快的盡量的規劃那如果我鳳山
transcript.whisperx[19].start 393.607
transcript.whisperx[19].end 410.833
transcript.whisperx[19].text 中間或者是跟大寮的交界他不用馬上上來這個是一個思考那另外一個思考就是說我們現在鳳山的鐵路地下化目前市政府也已經做可行性評估送上來了那鳳山現在的台鐵鐵路地下化呢
transcript.whisperx[20].start 411.713
transcript.whisperx[20].end 434.75
transcript.whisperx[20].text 我們現在打算就是再延伸過去那個大字路橋,那為什麼現在可以做呢?事實上當時本來到我們大字路橋前,過金湖路橋就把它封死了。那當時我有要求,在馬英九政府時代吧,那時候我有要求說,你至少給我做一個預留的轉接的空間,我將來有機會上去的時候,你現在不要把我堵死。
transcript.whisperx[21].start 435.55
transcript.whisperx[21].end 458.906
transcript.whisperx[21].text 所以今天我們市政府做這個規劃我們交通部做這個協助有機會就是當時大概在十年前我們就把那個預留的轉接頭做好了所以我現在要拜託就是交通部跟行政院就是說今天如果我鳳山這一站上來是最好如果不能上來我至少轉接頭要把我留著
transcript.whisperx[22].start 460.157
transcript.whisperx[22].end 489.461
transcript.whisperx[22].text 預留一個將來我高鐵跟台鐵都可以上來的空間所以我現在就是說第一個首要的要求當然就是希望說我直接上來是最好那萬一不行的話我希望說至少那個預留的空間將來可行性可以更改的空間我把它保留住我將來整個人口的分佈更多我整個交通更有這個需求的時候我就可以再把它完成就像今天的鐵路地下化台鐵地下化我要穿過到制度小現在可以做了
transcript.whisperx[23].start 490.001
transcript.whisperx[23].end 507.956
transcript.whisperx[23].text 這十年前就預留的所以這個部分也希望說院長知道一下部長就往這方面去思考把我們未來的可行性保留住啦不要把它封死掉好那這個部分就拜託部長跟院長幫忙那另外一個就是我們的空中奉承
transcript.whisperx[24].start 510.414
transcript.whisperx[24].end 536.781
transcript.whisperx[24].text 這個我就真的要生氣一下要罵一下那個跟院長報告部長應該知道這件事已經跟我說招標三次已經跟我說沒有問題結果還是有問題這個顯然有兩個問題一個問題就是說也讓部長院長或者是說工程會也注意一下就是說在BOT的案子
transcript.whisperx[25].start 537.745
transcript.whisperx[25].end 555.457
transcript.whisperx[25].text 我現在檢討我鳳山車站這個案子,在BOT的時候只考慮到B,沒有考慮到OT。所以B的之後,蓋好了之後,要OT它相關的配套跟使用的方式,沒有辦法那麼順暢。所以你無所謂,又無法處理。
transcript.whisperx[26].start 557.854
transcript.whisperx[26].end 575.594
transcript.whisperx[26].text 這是第一個,以後我們所有的公共建設在做BOT的思考的時候,應該要一併的思考,這個也提醒部長、院長跟工程會,這個部分要注意。第二個就是說,目前台鐵到底有沒有人在keep這個案子,把它針對問題、解決問題、完成問題。
transcript.whisperx[27].start 579.88
transcript.whisperx[27].end 595.835
transcript.whisperx[27].text 我們希望今年會有進展因為已經進入第三次的招標一直留標我相信地方大家也會覺得很不耐煩也會覺得很失望所以這個部分我會請台鐵積極來處理看可不可以今年一定要標出去
transcript.whisperx[28].start 596.591
transcript.whisperx[28].end 618.418
transcript.whisperx[28].text 所以我不能說希望要保持,我是一定要飆出去一定努力啊所以就是說基本上也請院長跟部長交代台鐵公司你要一個人專門keep這件事情嘛要不然大家都說要努力,大家都說要努力最後三個和尚沒水喝,最後就還是飆不出去所以這個部分我希望說院長跟部長也積極的面對我們這個問題跟我們注意一下
transcript.whisperx[29].start 623.663
transcript.whisperx[29].end 649.006
transcript.whisperx[29].text 好那再來就是我們的機場問題事實上我一直推了很多的航線包括華航、虎航、思航、華信、聯合、德威、越捷等我們現在15條航線事實上在高雄已經如火如荼的展開還有一些即將展開的事實上這個也謝謝我們交通部跟華航也一直跟所有的航空公司、民航局都很幫忙
transcript.whisperx[30].start 650.996
transcript.whisperx[30].end 674.662
transcript.whisperx[30].text 但是我們其實還要再想更遠就是說我今天高雄飛美國的現在上一次飛是1996年院長已經快30年了七月要飛七月 聯合航空七月會有飛美國的那聯合航空其實我去拜訪聯合航空他跟我說四十年以來我是為一個禮物去拜託的
transcript.whisperx[31].start 678.29
transcript.whisperx[31].end 702.172
transcript.whisperx[31].text 那現在聯合航空他要飛東京然後再飛美國然後再來就是說他也有答應我說他會去算人次啦也就是說我今天從高雄到東京到美國如果到時候直接過去的人數夠多的話也許就有機會直飛那這個部分也希望說交通部跟美航局多關注啦
transcript.whisperx[32].start 703.394
transcript.whisperx[32].end 720.431
transcript.whisperx[32].text 那當然就是說我們高雄的機場有很多的最大的問題是宵禁問題我們一直很難克服那我知道這個不好克服但是呢是不是就是說其實運營所他們有在規劃那目前就是我們南星計畫這個案子到底可不可行
transcript.whisperx[33].start 722.062
transcript.whisperx[33].end 736.549
transcript.whisperx[33].text 我們已經期盼了三四十年那可行我們就趕快做不可行就不可行但是如果是有機會的話我們要找到第二個就像台北松山機場之魚桃園他就是有
transcript.whisperx[34].start 737.449
transcript.whisperx[34].end 758.721
transcript.whisperx[34].text 城市機場跟沒有宵禁的機場日本的成田跟羽田韓國的金浦跟仁川都是同樣這個概念那我相信高雄有個小港機場還需要一個24小時的機場這個部分不知道部長跟院長有沒有想法我們先大南方先細股
transcript.whisperx[35].start 760.395
transcript.whisperx[35].end 780.528
transcript.whisperx[35].text 現在我們全力來將高雄小港機場第一期第二期工程把它完成這會將到2040年第二期完成第一期會比較快同時也遠跳過剛剛有人所說的那個地方需要填海去做一個新機場的可能性也正在做多方面的考量
transcript.whisperx[36].start 780.728
transcript.whisperx[36].end 806.67
transcript.whisperx[36].text 所以這個可行性評估大概什麼時候可以給我們一個確切的答案這個機場的可行性評估它時間會比較長一點尤其如果是我們要填海造陸它的海流它的風向它必須要觀察一段蠻長的時間確定海流跟風向之後才有辦法做所以如果是要就填海造陸來思考的話可能它研究的時間會比較長那如果是就路面上的話其實過去民航局已經討論過應該研析過
transcript.whisperx[37].start 809.232
transcript.whisperx[37].end 832.868
transcript.whisperx[37].text 接近10次的這個24小時的機場的延期那目前其實有一些方案不過都有一些問題所以一直無法落實所以我們現在第一階段要趕快做的是讓現在的小港機場讓它能夠優化讓它運量能夠提升能夠應付到2040年之前的需求那後續我們還是繼續規劃兩句話 第一個就是時間一定是蠻長但是第二個就是
transcript.whisperx[38].start 833.376
transcript.whisperx[38].end 856.539
transcript.whisperx[38].text 一方面填海造陸的技術目前來看並不是困難但是填海造陸的機場以後連線會持續地沉下陷這個安全上的問題在很多機場都看到了我們有沒有能力去克服我想我的思考就是說不見得執著在一個點請部長院長就是說思考一下就是說我今天的需求就是20小時的機場
transcript.whisperx[39].start 858.361
transcript.whisperx[39].end 875.353
transcript.whisperx[39].text 那也許是男性可行就做,不可行也要告訴我們為什麼不可行趕快決定評估出來那其他的我包括甚至我其實我不用胸襟那麼狹隘說非在高雄不可啊我在高雄、台南、屏東我們整個南方的結合
transcript.whisperx[40].start 876.033
transcript.whisperx[40].end 903.723
transcript.whisperx[40].text 如果有個24小時的機場事實上我說的就是南北雙核心那北部 南部 各部北部發展東北亞之外事實上南部我今天將來跟東南亞的基礎一定是非常的密切所以這個其實有非常的必要性是不是院長跟部長可以這些選項我們也都考慮過那現在就是還在評估哪一個要做進一步下一個階段的選項我們還在做這個規劃過程
transcript.whisperx[41].start 905.444
transcript.whisperx[41].end 920.379
transcript.whisperx[41].text 總而言之就是剛才拜託院長的希望院長幫忙關注因為這些我在交通部大概都講過今天特地要讓院長知道一下就是說我們高雄的需求盡量給我們完成好不好好 我們先跟委員一起努力好 謝謝