iVOD / 160018

Field Value
IVOD_ID 160018
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160018
日期 2025-04-09
會議資料.會議代碼 委員會-11-3-23-6
會議資料.會議代碼:str 第11屆第3會期交通委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 6
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3會期交通委員會第6次全體委員會議
影片種類 Clip
開始時間 2025-04-09T13:33:10+08:00
結束時間 2025-04-09T13:40:50+08:00
影片長度 00:07:40
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/984603a5a250cdce74548c9eccd9bbadb899a01abdeb36335ac7c33fa4103456a5ee903531ddfe835ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 13:33:10 - 13:40:50
會議時間 2025-04-09T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通委員會第6次全體委員會議(事由:一、邀請交通部部長陳世凱就「如何推動國際旅客來台觀光」及「提升國際機場量能與服務品質及增闢國際線航點航班之作為」進行專題報告,並備質詢。 二、處理113年度中央政府總預算附屬單位預算關於交通部主管預算凍結案計48案。 三、審查人民請願文書共12案。 【報告事項第(十二)案及第(十八)案如經院會復議,則不予處理】 【4月9日及10日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 7.79346875
transcript.pyannote[0].end 10.98284375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 11.01659375
transcript.pyannote[1].end 13.19346875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 13.76721875
transcript.pyannote[2].end 14.47596875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 20.56784375
transcript.pyannote[3].end 30.03471875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 21.00659375
transcript.pyannote[4].end 21.49596875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 24.83721875
transcript.pyannote[5].end 25.14096875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 30.94596875
transcript.pyannote[6].end 35.92409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 36.02534375
transcript.pyannote[7].end 37.05471875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 37.27409375
transcript.pyannote[8].end 38.65784375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 39.34971875
transcript.pyannote[9].end 40.56471875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 40.78409375
transcript.pyannote[10].end 41.40846875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 42.40409375
transcript.pyannote[11].end 43.55159375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 44.61471875
transcript.pyannote[12].end 46.79159375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 47.58471875
transcript.pyannote[13].end 48.32721875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 49.05284375
transcript.pyannote[14].end 49.76159375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 51.41534375
transcript.pyannote[15].end 52.27596875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 53.27159375
transcript.pyannote[16].end 53.98034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 55.60034375
transcript.pyannote[17].end 58.84034375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 59.68409375
transcript.pyannote[18].end 60.56159375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 60.88221875
transcript.pyannote[19].end 63.98721875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 64.44284375
transcript.pyannote[20].end 66.21471875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 67.54784375
transcript.pyannote[21].end 68.88096875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 69.53909375
transcript.pyannote[22].end 72.76221875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 73.60596875
transcript.pyannote[23].end 77.40284375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 77.62221875
transcript.pyannote[24].end 78.19596875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 78.46596875
transcript.pyannote[25].end 80.52471875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 80.96346875
transcript.pyannote[26].end 81.35159375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 81.92534375
transcript.pyannote[27].end 83.66346875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 83.81534375
transcript.pyannote[28].end 87.67971875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 87.96659375
transcript.pyannote[29].end 88.03409375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 88.42221875
transcript.pyannote[30].end 90.71721875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 89.99159375
transcript.pyannote[31].end 90.17721875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 91.69596875
transcript.pyannote[32].end 93.33284375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 94.05846875
transcript.pyannote[33].end 96.20159375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 97.09596875
transcript.pyannote[34].end 99.71159375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 100.87596875
transcript.pyannote[35].end 102.91784375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 103.49159375
transcript.pyannote[36].end 104.58846875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 105.33096875
transcript.pyannote[37].end 105.75284375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 106.71471875
transcript.pyannote[38].end 108.41909375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 109.00971875
transcript.pyannote[39].end 109.97159375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 109.97159375
transcript.pyannote[40].end 110.15721875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 110.15721875
transcript.pyannote[41].end 110.17409375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 110.17409375
transcript.pyannote[42].end 110.29221875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 110.73096875
transcript.pyannote[43].end 129.71534375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 130.08659375
transcript.pyannote[44].end 133.83284375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 133.96784375
transcript.pyannote[45].end 136.00971875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 137.54534375
transcript.pyannote[46].end 143.14784375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 143.72159375
transcript.pyannote[47].end 146.03346875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 147.18096875
transcript.pyannote[48].end 150.06659375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 150.55596875
transcript.pyannote[49].end 151.41659375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 152.17596875
transcript.pyannote[50].end 155.12909375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 154.45409375
transcript.pyannote[51].end 154.57221875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 155.24721875
transcript.pyannote[52].end 156.34409375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 157.33971875
transcript.pyannote[53].end 161.96346875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 162.62159375
transcript.pyannote[54].end 163.41471875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 164.35971875
transcript.pyannote[55].end 165.20346875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 165.23721875
transcript.pyannote[56].end 166.67159375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 167.44784375
transcript.pyannote[57].end 168.71346875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 169.10159375
transcript.pyannote[58].end 172.42596875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 173.16846875
transcript.pyannote[59].end 174.40034375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 175.29471875
transcript.pyannote[60].end 176.98221875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 178.43346875
transcript.pyannote[61].end 180.03659375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 180.89721875
transcript.pyannote[62].end 181.94346875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 182.29784375
transcript.pyannote[63].end 189.84096875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 190.53284375
transcript.pyannote[64].end 192.10221875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 192.50721875
transcript.pyannote[65].end 196.54034375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 196.91159375
transcript.pyannote[66].end 200.52284375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 202.19346875
transcript.pyannote[67].end 205.51784375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 205.83846875
transcript.pyannote[68].end 209.82096875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 209.97284375
transcript.pyannote[69].end 211.18784375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 211.86284375
transcript.pyannote[70].end 214.27596875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 215.87909375
transcript.pyannote[71].end 216.92534375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 217.75221875
transcript.pyannote[72].end 219.87846875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 220.45221875
transcript.pyannote[73].end 221.51534375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 222.13971875
transcript.pyannote[74].end 222.94971875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 223.91159375
transcript.pyannote[75].end 224.29971875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 225.24471875
transcript.pyannote[76].end 226.30784375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 226.69596875
transcript.pyannote[77].end 229.12596875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 229.29471875
transcript.pyannote[78].end 229.80096875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 230.25659375
transcript.pyannote[79].end 230.88096875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 231.53909375
transcript.pyannote[80].end 236.98971875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 237.47909375
transcript.pyannote[81].end 239.36909375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 240.58409375
transcript.pyannote[82].end 241.30971875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 242.03534375
transcript.pyannote[83].end 244.29659375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 244.29659375
transcript.pyannote[84].end 244.41471875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 244.90409375
transcript.pyannote[85].end 244.92096875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 244.92096875
transcript.pyannote[86].end 257.00346875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 257.00346875
transcript.pyannote[87].end 267.55034375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 266.50409375
transcript.pyannote[88].end 276.96659375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 272.52846875
transcript.pyannote[89].end 283.29471875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 276.96659375
transcript.pyannote[90].end 277.70909375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 277.70909375
transcript.pyannote[91].end 277.77659375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 277.81034375
transcript.pyannote[92].end 277.82721875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 278.36721875
transcript.pyannote[93].end 278.80596875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 281.60721875
transcript.pyannote[94].end 285.87659375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 283.29471875
transcript.pyannote[95].end 283.31159375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 285.25221875
transcript.pyannote[96].end 286.99034375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 285.87659375
transcript.pyannote[97].end 285.96096875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 286.02846875
transcript.pyannote[98].end 286.11284375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 286.12971875
transcript.pyannote[99].end 286.23096875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 286.23096875
transcript.pyannote[100].end 286.56846875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 286.56846875
transcript.pyannote[101].end 286.72034375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 286.72034375
transcript.pyannote[102].end 286.95659375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 286.99034375
transcript.pyannote[103].end 287.00721875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 287.00721875
transcript.pyannote[104].end 303.17346875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 289.90971875
transcript.pyannote[105].end 290.01096875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 303.73034375
transcript.pyannote[106].end 304.28721875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 304.97909375
transcript.pyannote[107].end 306.24471875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 306.98721875
transcript.pyannote[108].end 308.47221875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 309.88971875
transcript.pyannote[109].end 313.02846875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 313.43346875
transcript.pyannote[110].end 317.98971875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 318.42846875
transcript.pyannote[111].end 322.81596875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 323.47409375
transcript.pyannote[112].end 326.91659375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 327.79409375
transcript.pyannote[113].end 332.38409375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 332.92409375
transcript.pyannote[114].end 334.98284375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 335.25284375
transcript.pyannote[115].end 339.13409375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 339.84284375
transcript.pyannote[116].end 340.19721875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 341.27721875
transcript.pyannote[117].end 342.52596875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 342.89721875
transcript.pyannote[118].end 346.17096875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 344.85471875
transcript.pyannote[119].end 345.22596875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 346.33971875
transcript.pyannote[120].end 348.65159375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 346.47471875
transcript.pyannote[121].end 347.09909375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 349.46159375
transcript.pyannote[122].end 350.15346875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 350.96346875
transcript.pyannote[123].end 354.03471875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 354.16971875
transcript.pyannote[124].end 356.11034375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 356.97096875
transcript.pyannote[125].end 358.64159375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 359.78909375
transcript.pyannote[126].end 360.43034375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 361.25721875
transcript.pyannote[127].end 362.03346875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 362.74221875
transcript.pyannote[128].end 367.53471875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 367.93971875
transcript.pyannote[129].end 368.76659375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 369.59346875
transcript.pyannote[130].end 370.52159375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 371.06159375
transcript.pyannote[131].end 376.09034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 376.81596875
transcript.pyannote[132].end 377.82846875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 378.31784375
transcript.pyannote[133].end 378.72284375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 379.33034375
transcript.pyannote[134].end 387.75096875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 388.30784375
transcript.pyannote[135].end 389.55659375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 391.21034375
transcript.pyannote[136].end 392.61096875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 393.30284375
transcript.pyannote[137].end 394.14659375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 394.56846875
transcript.pyannote[138].end 398.73659375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 399.15846875
transcript.pyannote[139].end 401.08221875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 401.84159375
transcript.pyannote[140].end 402.33096875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 402.55034375
transcript.pyannote[141].end 404.05221875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 404.72721875
transcript.pyannote[142].end 406.38096875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 406.41471875
transcript.pyannote[143].end 407.88284375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 407.89971875
transcript.pyannote[144].end 408.33846875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 408.97971875
transcript.pyannote[145].end 411.25784375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 412.15221875
transcript.pyannote[146].end 412.96221875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 412.96221875
transcript.pyannote[147].end 438.02159375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 434.78159375
transcript.pyannote[148].end 435.05159375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 436.14846875
transcript.pyannote[149].end 443.91096875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 444.38346875
transcript.pyannote[150].end 446.96534375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 446.96534375
transcript.pyannote[151].end 459.97596875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 449.49659375
transcript.pyannote[152].end 450.10409375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 457.54596875
transcript.pyannote[153].end 459.35159375
transcript.whisperx[0].start 9.451
transcript.whisperx[0].end 34.852
transcript.whisperx[0].text 稍微 主席 各位委員 請部長請部長部長好 今天的議題來台旅客這個部分 是你的報告裡面也特別提到這個113比這個疫情之前108來的
transcript.whisperx[1].start 37.866
transcript.whisperx[1].end 52.095
transcript.whisperx[1].text 有恢復但是我們如果從整體來看我們就看108好了108這個好這張108整個總數來台的旅客的總數跟到113年的總數的落差就少了
transcript.whisperx[2].start 68.028
transcript.whisperx[2].end 96.01
transcript.whisperx[2].text 少了這麼多千萬、十萬、百萬、四百萬四百萬而這少了四百萬這樣的一個情形之下減少最多的就是中國大陸然後其次就是日本也少很多日本、香港、澳門、亞洲所以這樣的一個數字這個當然很重要的
transcript.whisperx[3].start 97.148
transcript.whisperx[3].end 105.394
transcript.whisperx[3].text 怎麼樣讓這些原來會來的那個回復這是最重要當然
transcript.whisperx[4].start 106.998
transcript.whisperx[4].end 135.618
transcript.whisperx[4].text 這日本為什麼會減少有知道原因嗎報告委員這兩年日幣的匯率比較不好那造成日本人其實他們出國的意願降低了非常多所以日本人比較不太出國玩但我們前年跟去年相比我們去年的這個日課的成長率達到百分之四十幾比前年的話這個中國大陸的部分我就不多說了這個你也很清楚
transcript.whisperx[5].start 137.985
transcript.whisperx[5].end 166.37
transcript.whisperx[5].text 事實上他們也願意,這群馬一開始講金馬後來福建,福建要過來所以這個部份,部長我是建議部長去協調陸委會然後行政院院長當然要請他支持還是要溝通,兩岸能夠交流
transcript.whisperx[6].start 167.509
transcript.whisperx[6].end 179.843
transcript.whisperx[6].text 才能夠更和平兩岸才能夠更和平另外就是說花蓮台東的交通花東第七發展條例
transcript.whisperx[7].start 181.076
transcript.whisperx[7].end 200.263
transcript.whisperx[7].text 規定得很清楚為改善花東地區對外運輸服務滿足花東地區基民聯外交通及產業發展的需求交通部應提高鐵路運輸能量及縮短行車時間並提升公路安全性及可靠性
transcript.whisperx[8].start 202.487
transcript.whisperx[8].end 228.174
transcript.whisperx[8].text 我們行政院的施政方針優化環島鐵路網當然包含東部的鐵路優化東部公路的交通網但是很重要的這個0403的地震所造成的北回線院長都去了部長更是去了很多次這個
transcript.whisperx[9].start 231.616
transcript.whisperx[9].end 236.587
transcript.whisperx[9].text 台鐵也提出了這個台鐵宜花東地區鐵路設施安全改善計畫64.1億元
transcript.whisperx[10].start 240.866
transcript.whisperx[10].end 268.359
transcript.whisperx[10].text 這個部分交通部什麼時候可以送到行政院報告委員這個部分計畫正在做那交通部對於這樣子的計畫應該也都是很支持這個部分是一定得做的那我們計畫什麼時候可以提出來是不是請台鐵這邊報告委員因為這個計畫按程序先經過我們董事會現在董事會已經討論通過了我們現在已經呈報到交通部我知道你們董事會通過而且
transcript.whisperx[11].start 269.74
transcript.whisperx[11].end 292.938
transcript.whisperx[11].text 也曾經送過又退回去又送了嘛對現在已經修正過了再提到到江部我們會盡快跟江部主動來做聯繫讓這個計畫我們這邊如果審查完成之後就會盡快來送我知道我上次就禮拜一我就問過台鐵就已經送了其實我一直都在中這個案子部分
transcript.whisperx[12].start 294.118
transcript.whisperx[12].end 319.636
transcript.whisperx[12].text 請交通部能夠盡快趕快核定要送行政院當然也要協調行政院趕快核定因為這個蘇花安我諮詢過很多次108年12月20號可行性研究行政院核定的可行性研究過期蘇花改兩年就核定這個計畫現在五年多了
transcript.whisperx[13].start 324.01
transcript.whisperx[13].end 345.034
transcript.whisperx[13].text 從可行性研究核定之後到現在已經五年多了這個行政院還沒有核定所以這個問題你們也已經送去了本席也一直新聞給行政院一直協調給行政院也要請部長要跟院長報告趕快核定最後
transcript.whisperx[14].start 351.284
transcript.whisperx[14].end 372.27
transcript.whisperx[14].text 票價的部分我在這邊也值了上上禮拜也值所以這個部分這個花東的票價整個台鐵的6月23號要開始了這個部分尤其是台北到花蓮調漲的幅度32.51%比這個
transcript.whisperx[15].start 379.417
transcript.whisperx[15].end 391.645
transcript.whisperx[15].text 平均條幅26.8%真的是很高而事實上花蓮車站在過去整個台鐵的過去西部是虧損的就是靠花蓮車站
transcript.whisperx[16].start 405.154
transcript.whisperx[16].end 409.064
transcript.whisperx[16].text 這個一直是賺錢的所以這個部分也必須去考量這個你們說要
transcript.whisperx[17].start 412.253
transcript.whisperx[17].end 433.812
transcript.whisperx[17].text 有一個怎麼樣的優惠報告委員我們會討論優惠方案一方面是包含花東的鄉親居住在那邊的居民他們的優惠方案我們正在討論另外也鼓勵花東的鄉親可以加入台鐵的常客優惠方案他們有個常客優惠方案如果加入的話他也會打折
transcript.whisperx[18].start 434.652
transcript.whisperx[18].end 457.625
transcript.whisperx[18].text 所以整體來說的話影響我們會盡量讓它降低這是4月7號的新聞當然我那天也有質詢你說要延誼那什麼時候可以完成延誼報告委員其實623還沒到啦真正的漲價還沒到所以623之前我們就可以延誼完成還是要提早好不好好我們盡快謝謝