iVOD / 158039

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6c9ad41bd34b9fe19780b1921df90a55626470bc6345e3fc1da053fa6ca1ad541fb40e3de1eea3c15ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 許智傑
委員發言時間 11:38:04 - 11:48:28
影片長度 624
會議時間 2024-12-09T09:00:00+08:00
會議名稱 立法院第11屆第2會期交通委員會第14次全體委員會議(事由:一、審查114年度中央政府總預算案關於交通部航港局單位預算。二、審查114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。三、審查114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。四、審查114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國營臺灣鐵路股份有限公司營業預算。五、審查114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-臺鐵局撥入資產及債務管理基金分預算。【僅進行詢答;第一案委員預算提案於12月16日中午12時前截止收件;第二案至第五案委員預算提案於12月19日中午12時前截止收件】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 3.99659375
transcript.pyannote[0].end 6.08909375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 6.74721875
transcript.pyannote[1].end 8.33346875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 15.30284375
transcript.pyannote[2].end 15.92721875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 15.97784375
transcript.pyannote[3].end 16.02846875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 16.39971875
transcript.pyannote[4].end 18.32346875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 18.93096875
transcript.pyannote[5].end 23.40284375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 23.94284375
transcript.pyannote[6].end 24.68534375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 26.44034375
transcript.pyannote[7].end 27.48659375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 28.26284375
transcript.pyannote[8].end 29.52846875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 29.96721875
transcript.pyannote[9].end 32.46471875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 32.46471875
transcript.pyannote[10].end 44.24346875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 44.46284375
transcript.pyannote[11].end 57.10221875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 50.04846875
transcript.pyannote[12].end 50.43659375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 55.22909375
transcript.pyannote[13].end 55.58346875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 57.10221875
transcript.pyannote[14].end 57.74346875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 58.60409375
transcript.pyannote[15].end 61.99596875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 62.60346875
transcript.pyannote[16].end 68.64471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 68.84721875
transcript.pyannote[17].end 75.96846875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 75.96846875
transcript.pyannote[18].end 76.64346875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 76.64346875
transcript.pyannote[19].end 76.77846875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 76.77846875
transcript.pyannote[20].end 90.86909375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 81.28409375
transcript.pyannote[21].end 81.70596875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 91.62846875
transcript.pyannote[22].end 93.87284375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 94.44659375
transcript.pyannote[23].end 96.91034375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 96.91034375
transcript.pyannote[24].end 96.99471875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 97.55159375
transcript.pyannote[25].end 97.56846875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 97.56846875
transcript.pyannote[26].end 105.92159375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 105.07784375
transcript.pyannote[27].end 105.29721875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 106.25909375
transcript.pyannote[28].end 106.44471875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 106.44471875
transcript.pyannote[29].end 106.46159375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 106.46159375
transcript.pyannote[30].end 106.47846875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 106.84971875
transcript.pyannote[31].end 106.88346875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 106.88346875
transcript.pyannote[32].end 109.97159375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 110.51159375
transcript.pyannote[33].end 111.67596875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 111.84471875
transcript.pyannote[34].end 112.45221875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 112.45221875
transcript.pyannote[35].end 112.48596875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 112.60409375
transcript.pyannote[36].end 123.79221875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 123.79221875
transcript.pyannote[37].end 124.28159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 124.53471875
transcript.pyannote[38].end 130.57596875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 131.11596875
transcript.pyannote[39].end 134.01846875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 135.23346875
transcript.pyannote[40].end 138.59159375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 138.59159375
transcript.pyannote[41].end 138.60846875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 139.23284375
transcript.pyannote[42].end 142.67534375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 143.13096875
transcript.pyannote[43].end 148.07534375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 148.29471875
transcript.pyannote[44].end 151.48409375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 151.97346875
transcript.pyannote[45].end 164.03909375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 164.03909375
transcript.pyannote[46].end 165.35534375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 165.43971875
transcript.pyannote[47].end 173.03346875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 173.91096875
transcript.pyannote[48].end 174.75471875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 174.95721875
transcript.pyannote[49].end 176.88096875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 177.35346875
transcript.pyannote[50].end 180.44159375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 180.96471875
transcript.pyannote[51].end 198.34596875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 198.70034375
transcript.pyannote[52].end 202.63221875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 202.95284375
transcript.pyannote[53].end 205.61909375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 206.27721875
transcript.pyannote[54].end 209.07846875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 209.07846875
transcript.pyannote[55].end 209.34846875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 209.34846875
transcript.pyannote[56].end 218.29221875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 218.29221875
transcript.pyannote[57].end 218.61284375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 218.52846875
transcript.pyannote[58].end 222.30846875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 222.54471875
transcript.pyannote[59].end 224.97471875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 225.56534375
transcript.pyannote[60].end 230.45909375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 230.45909375
transcript.pyannote[61].end 231.03284375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 231.03284375
transcript.pyannote[62].end 237.39471875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 238.03596875
transcript.pyannote[63].end 239.84159375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 240.78659375
transcript.pyannote[64].end 257.03721875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 251.83971875
transcript.pyannote[65].end 251.97471875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 251.97471875
transcript.pyannote[66].end 252.16034375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 252.16034375
transcript.pyannote[67].end 252.17721875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 257.03721875
transcript.pyannote[68].end 257.84721875
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 257.84721875
transcript.pyannote[69].end 257.91471875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 257.96534375
transcript.pyannote[70].end 258.03284375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 258.03284375
transcript.pyannote[71].end 263.75346875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 264.44534375
transcript.pyannote[72].end 265.93034375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 266.18346875
transcript.pyannote[73].end 268.68096875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 267.63471875
transcript.pyannote[74].end 269.23784375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 269.23784375
transcript.pyannote[75].end 269.96346875
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 269.96346875
transcript.pyannote[76].end 270.03096875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 270.03096875
transcript.pyannote[77].end 278.29971875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 278.29971875
transcript.pyannote[78].end 278.46846875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 279.00846875
transcript.pyannote[79].end 281.08409375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 281.48909375
transcript.pyannote[80].end 284.91471875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 285.20159375
transcript.pyannote[81].end 292.71096875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 291.93471875
transcript.pyannote[82].end 292.94721875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 292.94721875
transcript.pyannote[83].end 308.99534375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 309.75471875
transcript.pyannote[84].end 312.77534375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 313.36596875
transcript.pyannote[85].end 314.36159375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 315.27284375
transcript.pyannote[86].end 316.13346875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 317.53409375
transcript.pyannote[87].end 318.37784375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 319.54221875
transcript.pyannote[88].end 322.25909375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 325.78596875
transcript.pyannote[89].end 327.50721875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 328.13159375
transcript.pyannote[90].end 328.48596875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 330.54471875
transcript.pyannote[91].end 331.59096875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 332.26596875
transcript.pyannote[92].end 336.88971875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 336.95721875
transcript.pyannote[93].end 340.07909375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 340.73721875
transcript.pyannote[94].end 344.21346875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 344.48346875
transcript.pyannote[95].end 358.42221875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 359.80596875
transcript.pyannote[96].end 361.61159375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 362.60721875
transcript.pyannote[97].end 363.09659375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 363.38346875
transcript.pyannote[98].end 365.07096875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 365.35784375
transcript.pyannote[99].end 367.92284375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 368.44596875
transcript.pyannote[100].end 372.71534375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 374.03159375
transcript.pyannote[101].end 379.93784375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 380.69721875
transcript.pyannote[102].end 381.91221875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 382.99221875
transcript.pyannote[103].end 385.54034375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 386.02971875
transcript.pyannote[104].end 390.56909375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 391.07534375
transcript.pyannote[105].end 392.05409375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 393.47159375
transcript.pyannote[106].end 394.80471875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 395.49659375
transcript.pyannote[107].end 397.03221875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 397.50471875
transcript.pyannote[108].end 398.23034375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 398.88846875
transcript.pyannote[109].end 406.17846875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 406.80284375
transcript.pyannote[110].end 410.11034375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 410.39721875
transcript.pyannote[111].end 411.22409375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 411.74721875
transcript.pyannote[112].end 417.94034375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 418.46346875
transcript.pyannote[113].end 419.03721875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 420.08346875
transcript.pyannote[114].end 422.04096875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 423.01971875
transcript.pyannote[115].end 430.96784375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 431.11971875
transcript.pyannote[116].end 435.08534375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 435.77721875
transcript.pyannote[117].end 436.78971875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 437.16096875
transcript.pyannote[118].end 439.59096875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 437.83596875
transcript.pyannote[119].end 440.67096875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 440.70471875
transcript.pyannote[120].end 441.10971875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 441.75096875
transcript.pyannote[121].end 444.24846875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 451.80846875
transcript.pyannote[122].end 452.29784375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 452.29784375
transcript.pyannote[123].end 465.69659375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 466.23659375
transcript.pyannote[124].end 467.90721875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 468.29534375
transcript.pyannote[125].end 468.36284375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 468.36284375
transcript.pyannote[126].end 468.39659375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 468.39659375
transcript.pyannote[127].end 468.48096875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 468.48096875
transcript.pyannote[128].end 468.68346875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 468.68346875
transcript.pyannote[129].end 468.71721875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 468.71721875
transcript.pyannote[130].end 471.31596875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 471.31596875
transcript.pyannote[131].end 471.97409375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 471.94034375
transcript.pyannote[132].end 472.56471875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 471.99096875
transcript.pyannote[133].end 478.97721875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 472.75034375
transcript.pyannote[134].end 473.07096875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 473.27346875
transcript.pyannote[135].end 473.34096875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 477.77909375
transcript.pyannote[136].end 480.37784375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 479.97284375
transcript.pyannote[137].end 485.57534375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 485.40659375
transcript.pyannote[138].end 486.94221875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 486.79034375
transcript.pyannote[139].end 489.54096875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 489.54096875
transcript.pyannote[140].end 489.96284375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 489.96284375
transcript.pyannote[141].end 492.20721875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 492.25784375
transcript.pyannote[142].end 492.57846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 492.57846875
transcript.pyannote[143].end 501.28596875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 492.59534375
transcript.pyannote[144].end 492.62909375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 501.28596875
transcript.pyannote[145].end 502.01159375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 502.01159375
transcript.pyannote[146].end 519.22409375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 520.40534375
transcript.pyannote[147].end 522.31221875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 522.93659375
transcript.pyannote[148].end 524.59034375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 524.59034375
transcript.pyannote[149].end 524.60721875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 525.43409375
transcript.pyannote[150].end 525.97409375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 525.97409375
transcript.pyannote[151].end 526.44659375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 527.08784375
transcript.pyannote[152].end 535.66034375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 527.29034375
transcript.pyannote[153].end 527.81346875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 536.50409375
transcript.pyannote[154].end 568.70159375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 569.08971875
transcript.pyannote[155].end 570.62534375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 570.89534375
transcript.pyannote[156].end 573.42659375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 573.91596875
transcript.pyannote[157].end 580.14284375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 580.69971875
transcript.pyannote[158].end 622.54971875
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 620.87909375
transcript.pyannote[159].end 621.40221875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 621.40221875
transcript.pyannote[160].end 621.70596875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 623.78159375
transcript.pyannote[161].end 624.20346875
transcript.whisperx[0].start 3.988
transcript.whisperx[0].end 4.568
transcript.whisperx[0].text 台鐵副董事長
transcript.whisperx[1].start 24.011
transcript.whisperx[1].end 36.279
transcript.whisperx[1].text 那個空中奉承目前進度請教一下董事長到哪裡了?是,我們現在還在公告期間我們預計12月20號會結標那在這個期間我們有很積極的去拜訪潛在的廠商
transcript.whisperx[2].start 44.545
transcript.whisperx[2].end 68.068
transcript.whisperx[2].text 那目前包括我本人在內都有去這個算是去邀標了然後也充分有辦過說明會讓廠商了解空中奉承他的發展性所以他設計的一些困難跟那個有可能來OT的廠商使用的
transcript.whisperx[3].start 69.025
transcript.whisperx[3].end 74.85
transcript.whisperx[3].text 二、審查114年度中央政府總預算案附屬單位預算。三、審查114年度中央政府總預算案附屬單位預算。四、審查114年度中央政府總預算案附屬單位預算。
transcript.whisperx[4].start 91.687
transcript.whisperx[4].end 108.854
transcript.whisperx[4].text 因為現在據我所知就是電影院目前是在幾樓本來是在高樓層現在允許他變更可以拿到這個低樓層來OK因為我知道高樓層還有20人
transcript.whisperx[5].start 110.515
transcript.whisperx[5].end 115.857
transcript.whisperx[5].text 三、審查114年度中央政府總預算案附屬單位預算三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[6].start 139.844
transcript.whisperx[6].end 141.465
transcript.whisperx[6].text 三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[7].start 157.552
transcript.whisperx[7].end 159.153
transcript.whisperx[7].text 三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[8].start 173.993
transcript.whisperx[8].end 197.711
transcript.whisperx[8].text 也要讓部長跟董事長知道這個是我鳳山重要的事務嘛這個沒有完成交代不過去所以我是希望說董事長跟部長也特別重視就是說我這個地方總是要找到適合的廠商符合鳳山的需求那真的有人開始動
transcript.whisperx[9].start 198.972
transcript.whisperx[9].end 207.154
transcript.whisperx[9].text 三、審查114年度中央政府總預算案附屬單位預算三、審查114年度中央政府總預算案附屬單位預算三、審查114年度中央政府總預算案附屬單位預算三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[10].start 225.618
transcript.whisperx[10].end 227.821
transcript.whisperx[10].text 三、審查114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臺灣港務
transcript.whisperx[11].start 241.495
transcript.whisperx[11].end 244.857
transcript.whisperx[11].text 二、審查114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臺灣港務
transcript.whisperx[12].start 264.551
transcript.whisperx[12].end 266.573
transcript.whisperx[12].text 三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[13].start 279.253
transcript.whisperx[13].end 280.614
transcript.whisperx[13].text 三、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[14].start 310.033
transcript.whisperx[14].end 312.175
transcript.whisperx[14].text 臺積電站應該沒問題吧規劃當中這是鐵道局在設計鐵道局也沒那麼清楚
transcript.whisperx[15].start 330.558
transcript.whisperx[15].end 356.319
transcript.whisperx[15].text 高雄市政府不然我就請兩位我們局長跟董事長來注意一下也拜託部長了解一下這個我們攬子百慕打當時在2022年6月15劉思旺部長那時候還當立委的時候跟我跟李柏毅都有去考察這個攬子百慕打鐵路立體化的這個規劃我想這個應該
transcript.whisperx[16].start 359.821
transcript.whisperx[16].end 363.664
transcript.whisperx[16].text 三、審查114年度中央政府總預算案附屬單位預算。四、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[17].start 383.189
transcript.whisperx[17].end 397.988
transcript.whisperx[17].text 那分流在南子在台積電前面在我們的高鐵的地方那邊蓋一個台積電站這個應該是一個可以分流滿好的想法
transcript.whisperx[18].start 399.076
transcript.whisperx[18].end 421.841
transcript.whisperx[18].text 甚至呢,其實將來包括我們從屏東、從鳳山要去台積電上班那我這邊多設一個站坦白講應該未來這邊人流會非常的多啦所以這個需求應該是非常的高那這個局長跟董事長的看法如何
transcript.whisperx[19].start 423.609
transcript.whisperx[19].end 442.834
transcript.whisperx[19].text 這個跟委員報告應該是由市政府這邊先辦理就是鐵路高架或是地下立體化的一個可行性研究那如果他在這個案子裡面提出來這樣的規劃的話我想我們會來支持所以目前市府都沒有把這個訊息跟你們講案子還沒有到部委那我們最後請部長好不好
transcript.whisperx[20].start 452.36
transcript.whisperx[20].end 454.281
transcript.whisperx[20].text 二、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[21].start 469.046
transcript.whisperx[21].end 481.877
transcript.whisperx[21].text 這個部分是委員之前有提到過是的有提到過我大概知道所以就是說相關的細節需要市府的我會再拜託啦是是是他們來提出來我們來支持那當然就是說也希望說部長跟這個蓋應該是鐵道局
transcript.whisperx[22].start 485.059
transcript.whisperx[22].end 489.701
transcript.whisperx[22].text 三、審查114年度中央政府總預算案附屬單位預算。四、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[23].start 512.531
transcript.whisperx[23].end 516.634
transcript.whisperx[23].text 這個可能要由主計總處做整體的考量跟行政院做整體的考量不過中央對於地方的補助必然會減少
transcript.whisperx[24].start 536.793
transcript.whisperx[24].end 552.154
transcript.whisperx[24].text 我這邊再鄭重一下呼籲,我國用現在的軌道是路竹延伸線、林源線,將來路竹延伸線我們希望可以延伸到臺南,這個也讓部長跟局長都了解一下,我們林源線也希望有機會到屏東,那包括
transcript.whisperx[25].start 552.975
transcript.whisperx[25].end 556.677
transcript.whisperx[25].text 三、審查114年度中央政府總預算案附屬單位預算。四、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[26].start 580.746
transcript.whisperx[26].end 581.727
transcript.whisperx[26].text 三、審查114年度中央政府總預算案附屬單位預算非營業預算。四、審查114年度中央政府總預算案附屬單位預算
transcript.whisperx[27].start 599.56
transcript.whisperx[27].end 600.801
transcript.whisperx[27].text 三、審查114年度中央政府總預算案附屬單位預算
IVOD_ID 158039
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158039
日期 2024-12-09
會議資料.會議代碼 委員會-11-2-23-14
會議資料.屆 11
會議資料.會期 2
會議資料.會次 14
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.標題 第11屆第2會期交通委員會第14次全體委員會議
影片種類 Clip
開始時間 2024-12-09T11:38:04+08:00
結束時間 2024-12-09T11:48:28+08:00
支援功能[0] ai-transcript