iVOD / 162843

Field Value
IVOD_ID 162843
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162843
日期 2025-06-25
會議資料.會議代碼 委員會-11-3-23-17
會議資料.會議代碼:str 第11屆第3會期交通委員會第17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 17
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17次全體委員會議
影片種類 Clip
開始時間 2025-06-25T11:27:28+08:00
結束時間 2025-06-25T11:37:49+08:00
影片長度 00:10:21
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3c0085a4689617f5fc18d98c4bd1fbe8137b1f10ec760e8b2e30616ee03c0ffc86b9718f63e7223e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林俊憲
委員發言時間 11:27:28 - 11:37:49
會議時間 2025-06-25T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通委員會第17次全體委員會議(事由:邀請交通部部長、交通部鐵道局局長、交通部觀光署署長、國營臺灣鐵路股份有限公司董事長及台灣高速鐵路股份有限公司董事長率所屬相關單位列席就「交通部觀光署、國營臺灣鐵路股份有限公司及台灣高速鐵路股份有限公司人事調整及新任首長之業務展望」進行專題報告,並備質詢。 【若開會當日交通部觀光署新任署長尚未就任,該署部分另擇期排案】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 2.76471875
transcript.pyannote[0].end 3.89534375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 4.43534375
transcript.pyannote[1].end 11.89409375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 12.68721875
transcript.pyannote[2].end 13.59846875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 14.13846875
transcript.pyannote[3].end 14.20596875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 14.30721875
transcript.pyannote[4].end 14.67846875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 17.69909375
transcript.pyannote[5].end 18.15471875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 18.72846875
transcript.pyannote[6].end 19.69034375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 19.80846875
transcript.pyannote[7].end 20.68596875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 21.85034375
transcript.pyannote[8].end 22.50846875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 23.52096875
transcript.pyannote[9].end 24.31409375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 25.24221875
transcript.pyannote[10].end 27.41909375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 27.73971875
transcript.pyannote[11].end 28.63409375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 30.00096875
transcript.pyannote[12].end 30.87846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 31.65471875
transcript.pyannote[13].end 33.24096875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 33.83159375
transcript.pyannote[14].end 35.40096875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 36.27846875
transcript.pyannote[15].end 38.42159375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 38.77596875
transcript.pyannote[16].end 40.48034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 40.78409375
transcript.pyannote[17].end 41.94846875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 42.60659375
transcript.pyannote[18].end 44.85096875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 45.94784375
transcript.pyannote[19].end 47.43284375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 47.92221875
transcript.pyannote[20].end 48.79971875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 49.44096875
transcript.pyannote[21].end 50.18346875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 50.92596875
transcript.pyannote[22].end 51.51659375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 51.90471875
transcript.pyannote[23].end 52.42784375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 53.23784375
transcript.pyannote[24].end 55.70159375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 56.89971875
transcript.pyannote[25].end 57.94596875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 58.28346875
transcript.pyannote[26].end 60.47721875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 60.96659375
transcript.pyannote[27].end 61.69221875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 62.55284375
transcript.pyannote[28].end 63.53159375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 63.83534375
transcript.pyannote[29].end 65.08409375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 65.48909375
transcript.pyannote[30].end 66.70409375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 67.26096875
transcript.pyannote[31].end 69.04971875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 70.16346875
transcript.pyannote[32].end 70.99034375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 71.56409375
transcript.pyannote[33].end 73.35284375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 73.65659375
transcript.pyannote[34].end 75.41159375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 76.35659375
transcript.pyannote[35].end 77.77409375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 77.97659375
transcript.pyannote[36].end 82.02659375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 82.73534375
transcript.pyannote[37].end 84.43971875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 85.63784375
transcript.pyannote[38].end 89.14784375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 90.05909375
transcript.pyannote[39].end 90.59909375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 91.96596875
transcript.pyannote[40].end 93.06284375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 93.78846875
transcript.pyannote[41].end 94.31159375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 94.98659375
transcript.pyannote[42].end 96.74159375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 97.29846875
transcript.pyannote[43].end 98.31096875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 98.73284375
transcript.pyannote[44].end 100.26846875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 101.01096875
transcript.pyannote[45].end 102.09096875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 102.27659375
transcript.pyannote[46].end 103.28909375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 103.47471875
transcript.pyannote[47].end 106.25909375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 106.51221875
transcript.pyannote[48].end 109.36409375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 109.63409375
transcript.pyannote[49].end 112.09784375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 112.67159375
transcript.pyannote[50].end 127.62284375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 128.04471875
transcript.pyannote[51].end 132.58409375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 133.03971875
transcript.pyannote[52].end 135.79034375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 136.29659375
transcript.pyannote[53].end 140.29596875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 140.41409375
transcript.pyannote[54].end 147.78846875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 147.85596875
transcript.pyannote[55].end 147.87284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 147.88971875
transcript.pyannote[56].end 149.62784375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 149.98221875
transcript.pyannote[57].end 150.82596875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 151.11284375
transcript.pyannote[58].end 152.17596875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 152.29409375
transcript.pyannote[59].end 153.44159375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 154.30221875
transcript.pyannote[60].end 159.92159375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 160.69784375
transcript.pyannote[61].end 162.97596875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 163.60034375
transcript.pyannote[62].end 165.81096875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 166.33409375
transcript.pyannote[63].end 168.22409375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 168.98346875
transcript.pyannote[64].end 169.77659375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 171.10971875
transcript.pyannote[65].end 173.74221875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 174.24846875
transcript.pyannote[66].end 175.75034375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 176.39159375
transcript.pyannote[67].end 177.60659375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 178.92284375
transcript.pyannote[68].end 179.27721875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 179.66534375
transcript.pyannote[69].end 180.32346875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 181.25159375
transcript.pyannote[70].end 181.84221875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 182.73659375
transcript.pyannote[71].end 182.90534375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 183.46221875
transcript.pyannote[72].end 187.27596875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 188.15346875
transcript.pyannote[73].end 190.14471875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 190.44846875
transcript.pyannote[74].end 197.13096875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 197.78909375
transcript.pyannote[75].end 198.73409375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 199.02096875
transcript.pyannote[76].end 199.03784375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 199.03784375
transcript.pyannote[77].end 200.99534375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 201.16409375
transcript.pyannote[78].end 202.26096875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 202.61534375
transcript.pyannote[79].end 203.39159375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 203.62784375
transcript.pyannote[80].end 205.70346875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 206.41221875
transcript.pyannote[81].end 216.50346875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 217.80284375
transcript.pyannote[82].end 218.41034375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 219.03471875
transcript.pyannote[83].end 219.91221875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 220.19909375
transcript.pyannote[84].end 221.54909375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 222.35909375
transcript.pyannote[85].end 222.89909375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 223.23659375
transcript.pyannote[86].end 224.78909375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 226.30784375
transcript.pyannote[87].end 227.72534375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 228.16409375
transcript.pyannote[88].end 230.91471875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 230.96534375
transcript.pyannote[89].end 235.13346875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 235.62284375
transcript.pyannote[90].end 236.73659375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 237.37784375
transcript.pyannote[91].end 237.96846875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 238.55909375
transcript.pyannote[92].end 241.05659375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 242.32221875
transcript.pyannote[93].end 242.81159375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 243.99284375
transcript.pyannote[94].end 245.54534375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 246.16971875
transcript.pyannote[95].end 247.18221875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 247.80659375
transcript.pyannote[96].end 248.73471875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 250.13534375
transcript.pyannote[97].end 251.16471875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 251.45159375
transcript.pyannote[98].end 252.56534375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 253.07159375
transcript.pyannote[99].end 253.62846875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 254.21909375
transcript.pyannote[100].end 255.33284375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 255.87284375
transcript.pyannote[101].end 256.58159375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 257.88096875
transcript.pyannote[102].end 258.60659375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 258.69096875
transcript.pyannote[103].end 259.41659375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 259.78784375
transcript.pyannote[104].end 262.25159375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 263.60159375
transcript.pyannote[105].end 265.15409375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 265.87971875
transcript.pyannote[106].end 266.58846875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 267.06096875
transcript.pyannote[107].end 268.30971875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 268.84971875
transcript.pyannote[108].end 269.67659375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 270.26721875
transcript.pyannote[109].end 273.70971875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 274.40159375
transcript.pyannote[110].end 284.44221875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 285.55596875
transcript.pyannote[111].end 287.07471875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 287.44596875
transcript.pyannote[112].end 291.78284375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 292.44096875
transcript.pyannote[113].end 292.82909375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 293.30159375
transcript.pyannote[114].end 306.56534375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 307.13909375
transcript.pyannote[115].end 312.62346875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 313.93971875
transcript.pyannote[116].end 315.01971875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 315.74534375
transcript.pyannote[117].end 319.35659375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 319.91346875
transcript.pyannote[118].end 323.06909375
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 323.06909375
transcript.pyannote[119].end 323.13659375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 323.13659375
transcript.pyannote[120].end 323.18721875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 323.18721875
transcript.pyannote[121].end 323.22096875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 323.22096875
transcript.pyannote[122].end 323.27159375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 324.25034375
transcript.pyannote[123].end 327.43971875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 328.36784375
transcript.pyannote[124].end 335.32034375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 336.02909375
transcript.pyannote[125].end 336.46784375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 336.73784375
transcript.pyannote[126].end 338.59409375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 339.25221875
transcript.pyannote[127].end 341.12534375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 341.74971875
transcript.pyannote[128].end 343.50471875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 344.41596875
transcript.pyannote[129].end 346.52534375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 348.11159375
transcript.pyannote[130].end 350.23784375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 350.86221875
transcript.pyannote[131].end 351.73971875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 351.89159375
transcript.pyannote[132].end 353.12346875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 353.32596875
transcript.pyannote[133].end 355.67159375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 356.16096875
transcript.pyannote[134].end 358.13534375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 359.26596875
transcript.pyannote[135].end 361.89846875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 363.23159375
transcript.pyannote[136].end 369.55971875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 370.72409375
transcript.pyannote[137].end 371.88846875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 373.06971875
transcript.pyannote[138].end 374.60534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 376.57971875
transcript.pyannote[139].end 377.37284375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 377.74409375
transcript.pyannote[140].end 380.00534375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 380.71409375
transcript.pyannote[141].end 382.06409375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 383.27909375
transcript.pyannote[142].end 385.03409375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 385.35471875
transcript.pyannote[143].end 386.82284375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 387.21096875
transcript.pyannote[144].end 389.94471875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 391.04159375
transcript.pyannote[145].end 391.88534375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 392.61096875
transcript.pyannote[146].end 393.57284375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 393.97784375
transcript.pyannote[147].end 394.61909375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 395.44596875
transcript.pyannote[148].end 396.52596875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 398.29784375
transcript.pyannote[149].end 399.22596875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 399.61409375
transcript.pyannote[150].end 401.65596875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 402.19596875
transcript.pyannote[151].end 404.35596875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 404.79471875
transcript.pyannote[152].end 406.16159375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 406.21221875
transcript.pyannote[153].end 407.93346875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 408.45659375
transcript.pyannote[154].end 409.45221875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 409.97534375
transcript.pyannote[155].end 410.80221875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 411.73034375
transcript.pyannote[156].end 413.67096875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 414.36284375
transcript.pyannote[157].end 415.51034375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 415.99971875
transcript.pyannote[158].end 416.25284375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 416.37096875
transcript.pyannote[159].end 417.40034375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 418.83471875
transcript.pyannote[160].end 421.55159375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 422.31096875
transcript.pyannote[161].end 429.09471875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 429.93846875
transcript.pyannote[162].end 431.08596875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 431.94659375
transcript.pyannote[163].end 432.57096875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 432.92534375
transcript.pyannote[164].end 434.86596875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 435.77721875
transcript.pyannote[165].end 436.19909375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 436.97534375
transcript.pyannote[166].end 437.76846875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 438.40971875
transcript.pyannote[167].end 440.55284375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 440.63721875
transcript.pyannote[168].end 441.86909375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 442.93221875
transcript.pyannote[169].end 445.54784375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 446.25659375
transcript.pyannote[170].end 447.52221875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 447.82596875
transcript.pyannote[171].end 449.24346875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 449.64846875
transcript.pyannote[172].end 450.10409375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 450.69471875
transcript.pyannote[173].end 452.17971875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 452.82096875
transcript.pyannote[174].end 454.17096875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 455.23409375
transcript.pyannote[175].end 456.24659375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 456.95534375
transcript.pyannote[176].end 458.22096875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 458.32221875
transcript.pyannote[177].end 458.87909375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 459.18284375
transcript.pyannote[178].end 460.65096875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 461.07284375
transcript.pyannote[179].end 462.00096875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 462.74346875
transcript.pyannote[180].end 463.53659375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 463.95846875
transcript.pyannote[181].end 464.59971875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 465.81471875
transcript.pyannote[182].end 467.78909375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 468.17721875
transcript.pyannote[183].end 469.24034375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 469.83096875
transcript.pyannote[184].end 471.58596875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 472.91909375
transcript.pyannote[185].end 474.92721875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 476.31096875
transcript.pyannote[186].end 477.18846875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 478.01534375
transcript.pyannote[187].end 479.51721875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 480.36096875
transcript.pyannote[188].end 484.20846875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 484.54596875
transcript.pyannote[189].end 486.35159375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 487.14471875
transcript.pyannote[190].end 490.58721875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 490.95846875
transcript.pyannote[191].end 492.71346875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 494.19846875
transcript.pyannote[192].end 495.17721875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 495.95346875
transcript.pyannote[193].end 496.47659375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 497.59034375
transcript.pyannote[194].end 500.61096875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 501.62346875
transcript.pyannote[195].end 503.02409375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 503.24346875
transcript.pyannote[196].end 504.52596875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 505.62284375
transcript.pyannote[197].end 506.28096875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 506.77034375
transcript.pyannote[198].end 515.19096875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 516.03471875
transcript.pyannote[199].end 517.65471875
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 518.70096875
transcript.pyannote[200].end 519.69659375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 519.94971875
transcript.pyannote[201].end 568.60034375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 529.02846875
transcript.pyannote[202].end 529.26471875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 530.76659375
transcript.pyannote[203].end 530.83409375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 530.83409375
transcript.pyannote[204].end 531.17159375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 531.17159375
transcript.pyannote[205].end 531.20534375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 532.18409375
transcript.pyannote[206].end 532.30221875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 532.35284375
transcript.pyannote[207].end 532.55534375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 552.34971875
transcript.pyannote[208].end 552.68721875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 555.31971875
transcript.pyannote[209].end 555.42096875
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 559.67346875
transcript.pyannote[210].end 559.79159375
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 561.85034375
transcript.pyannote[211].end 561.96846875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 561.96846875
transcript.pyannote[212].end 562.08659375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 562.08659375
transcript.pyannote[213].end 562.18784375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 562.66034375
transcript.pyannote[214].end 562.67721875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 562.67721875
transcript.pyannote[215].end 563.04846875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 563.04846875
transcript.pyannote[216].end 563.09909375
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 563.87534375
transcript.pyannote[217].end 564.31409375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 569.10659375
transcript.pyannote[218].end 570.79409375
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 569.62971875
transcript.pyannote[219].end 570.60846875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 571.51971875
transcript.pyannote[220].end 574.65846875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 575.24909375
transcript.pyannote[221].end 599.81909375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 581.49284375
transcript.pyannote[222].end 582.01596875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 583.88909375
transcript.pyannote[223].end 584.32784375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 589.18784375
transcript.pyannote[224].end 589.55909375
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 592.49534375
transcript.pyannote[225].end 592.96784375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 594.30096875
transcript.pyannote[226].end 594.38534375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 599.90346875
transcript.pyannote[227].end 612.88034375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 612.15471875
transcript.pyannote[228].end 621.97596875
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 616.20471875
transcript.pyannote[229].end 616.27221875
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 616.42409375
transcript.pyannote[230].end 616.91346875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 616.91346875
transcript.pyannote[231].end 616.99784375
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 616.99784375
transcript.pyannote[232].end 617.06534375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 617.06534375
transcript.pyannote[233].end 617.26784375
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 617.26784375
transcript.pyannote[234].end 617.45346875
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 619.96784375
transcript.pyannote[235].end 620.28846875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 620.28846875
transcript.pyannote[236].end 620.33909375
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 620.33909375
transcript.pyannote[237].end 621.31784375
transcript.whisperx[0].start 2.759
transcript.whisperx[0].end 28.331
transcript.whisperx[0].text 好 感謝主席本席邀請我們交通部陳部長好 交通部陳部長還有我們高鐵石董事長好 高鐵石董事長石董事長委員好部長好 董事長好跟大家討論一下我要特別提出我們高鐵台南站的問題
transcript.whisperx[1].start 30.046
transcript.whisperx[1].end 55.479
transcript.whisperx[1].text 大家知道現在高鐵在台灣各站運量增加幅度最多的就是進出站的人數成長最多的台南不是排第一就是排第二以去年來講2024年高鐵進站出站人數的成長比例台南都第二
transcript.whisperx[2].start 57.08
transcript.whisperx[2].end 84.059
transcript.whisperx[2].text 在前一年高鐵到站人數成長最多就是台南所以台南一年現在進出站人數大概有破千萬增加非常快速這當中主要因為台南這幾年產業發展非常快速現在除了有南科以外而且南科已經成長到產值遠遠超過竹科
transcript.whisperx[3].start 85.677
transcript.whisperx[3].end 111.356
transcript.whisperx[3].text 那在接下來台南還會更發展這個現在國家在我們高鐵特區就我們台南站周邊的高鐵特區現在的科學園區也確定設立目前為止就有相當多的單位進駐在我們高鐵特區
transcript.whisperx[4].start 113.838
transcript.whisperx[4].end 135.212
transcript.whisperx[4].text 甚至有很多的商業設施 公共設施 住宅區我們大台南會展中心 產業研發專區資策會的資安和智慧科技的研發大樓綠能科技示範場域 中研院的南部院區還有沙崙醫療服務創新園區台灣智慧駕駛實驗室 這我們交通部的單位
transcript.whisperx[5].start 141.355
transcript.whisperx[5].end 169.04
transcript.whisperx[5].text 還有台灣智慧綠能循環的住宅園區像澳內甚至有陽明交大都在這附近未來會更發展因為媒體的報導南科市集也是設在這個地方也設在高鐵特區預計台積電將會進駐台積電光是它的廠區就至少用地需求500公頃
transcript.whisperx[6].start 171.158
transcript.whisperx[6].end 196.056
transcript.whisperx[6].text 那未來整個園區的從業人數將會從目前的一萬人漸減到十萬人所以高鐵附近周邊甚至在高鐵就在這個園區裡面這會是全世界最重要的半導體高科技生產園區國家最重要的尖端各項科技的研發園區
transcript.whisperx[7].start 197.847
transcript.whisperx[7].end 224.586
transcript.whisperx[7].text 都在這個地方所以高鐵台南站會成為台南甚至世界的門戶因為我們的科技廠商會有很多的往來來自世界各地的這種商務互相的交流等等所以我們也發現高鐵站的台南站現在完全不服使用
transcript.whisperx[8].start 226.331
transcript.whisperx[8].end 248.593
transcript.whisperx[8].text 保長我特別要請我們董事長 施董事長要來了解這個問題你現在剛上任我希望你要注意到第一個你目前的高鐵的量體像我要比較一下六都啦六都的高鐵站就台南最小
transcript.whisperx[9].start 250.145
transcript.whisperx[9].end 272.868
transcript.whisperx[9].text 台南小到台南跟嘉義高鐵站是1比1啦就一樣大小所以台南的高鐵站不是一個直轄式規格的一個設計那用量我實在說已經幾乎快要爆掉了你看投行投行的進駐站人數是台南1.8倍
transcript.whisperx[10].start 274.591
transcript.whisperx[10].end 284.339
transcript.whisperx[10].text 桃園在機場一年全北部出入台南1.8倍但樓地板面積是台南的3.4倍桃園站 台南站底他們出入台南的1.8倍但桃園站
transcript.whisperx[11].start 293.38
transcript.whisperx[11].end 297.921
transcript.whisperx[11].text 台中進出人數是台南2.5倍但台中的戰體面積是台南的4倍 4倍大你再來看左營
transcript.whisperx[12].start 315.819
transcript.whisperx[12].end 342.63
transcript.whisperx[12].text 中央出入人數是台南的兩倍啦但他的左營暫停喔 也台南的2.5倍啦好 就算跟嘉義來比啦來啦 董事長啊嘉義一年六百幾百人出入啦 台南破一千萬台南進駐站人數一年比嘉義多四百多萬但是台南的暫停跟嘉義一樣大欸 你一年多四百幾百人出入喔啊你自己的暫到嘉義變大
transcript.whisperx[13].start 344.868
transcript.whisperx[13].end 369.395
transcript.whisperx[13].text 給4票基本人會造成什麼狀況第一個 公共設施嚴重不足台南站 上下越台 只有一個守護梯 一上一下我們再來看公設設施 東有2座 台中4座如果以整個守護梯數給大家看 桃園12 台中10 台南只有6 左雲有20
transcript.whisperx[14].start 373.721
transcript.whisperx[14].end 396.483
transcript.whisperx[14].text 對不對 我們說扁手啦高鐵站啊 你要看到從廁所裡面排到外面像台南站你看得到啦 那個扁手完全不夠用喔我怎麼看得到那個扁手在裡面排的可能有啦 排到外面來這很難看啦 連廁所使用都嚴重的不足啦
transcript.whisperx[15].start 398.359
transcript.whisperx[15].end 421.401
transcript.whisperx[15].text 尤其未來啦 像我說的 如果你南哥市集啊台積電來 周邊廠商也來那個用地 光產業使用面積大概就將近一千公頃十萬個人啊 你的站體絕對會爆掉啦所以我希望高鐵要超前部署啦萬一幫施董事長 你要注意到這個事情
transcript.whisperx[16].start 422.372
transcript.whisperx[16].end 441.625
transcript.whisperx[16].text 那一樣我們的門戶世界最重要的高科技門戶就在台南使用一定是高鐵為優先那這樣沒有辦法你以前把附近蓋那麼小還可以體諒因為你涉戰當時台南可能還不是直轄市
transcript.whisperx[17].start 443.004
transcript.whisperx[17].end 470.489
transcript.whisperx[17].text 所以那個地方 當地的地方叫蘇阿倫啦聽這個名字就知道大概比較偏遠的地方啦是不是那你知道高鐵站旁邊有一個很特殊的單位台南監獄你知道嗎隔地上的旁邊有一個台南監獄啊我看在座幾乎沒有人知道台南監獄車程如果開車到台南高鐵站喔差不多兩分鐘就到了旁邊有設一個高鐵站啦
transcript.whisperx[18].start 472.947
transcript.whisperx[18].end 480.671
transcript.whisperx[18].text 那台南監獄設在那個地方叫什麼叫台地處啦你知道看那以前多偏僻以前高齡戰陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣
transcript.whisperx[19].start 501.67
transcript.whisperx[19].end 515.259
transcript.whisperx[19].text 所以我認為台南站有必要要擴展你一定要把它擴充至少以目前的公設 廁所 上架手扶梯 電扶梯都嚴重的不足我們請兩位發表一下意見
transcript.whisperx[20].start 518.992
transcript.whisperx[20].end 544.407
transcript.whisperx[20].text 報告委員目前委員所提到的這個基礎設施的不足先不要講面積啦基礎設施的不足這個部分可能我會請高鐵公司趕快做研究我想石董事長也都有掌握這個部分我們先來做研究那第二就是暫體的擴大的部分這個部分要跟台南市政府大家也來討論因為他當時的督設省的部分有沒有一些限制那該怎麼去解套我覺得現在是值得討論的時候了啦
transcript.whisperx[21].start 545.808
transcript.whisperx[21].end 568.096
transcript.whisperx[21].text 像委員所說的人已經這麼多了我們現在有發現幾個站包含新竹站也大概有類似的問題當時的規劃跟現在實際的用量其實有些落差那當時國家在設定高鐵的時候也不知道人數會這麼多也跟委員報告未來台南只會更多人只會更多所以我們要提早來因應那這個部分石董事長應該也都有掌握是不是請石董事長來說明一下
transcript.whisperx[22].start 569.456
transcript.whisperx[22].end 595.236
transcript.whisperx[22].text 謝謝委員我想這個今天沙崙能夠發展成這樣子的一個值日可待而且大家羨慕的未來事實上跟高鐵扮演一個人才流通力很重要的因素但是它的發展超乎我們的預期所以委員在提示之後我們也來逐步來檢討我想可能要分短中長來處理短期的部分可能就是委員特別提到比如像廁所啦暫停的基本服務我覺得應該要跟上這個我們來想辦法
transcript.whisperx[23].start 596.437
transcript.whisperx[23].end 617.265
transcript.whisperx[23].text 那中層的部分可能我們要來跟台南都市計畫的部分要來合作增加樓立板面積這才有可能增加它的整個服務的機能那長遠的話當然就是委員剛剛講當它造成一個10萬人的就業人口的時候那可能就是一個另外整個新的所以我們希望能夠超前部署現在就應該要開始規劃未來好不好是 謝謝好 那謝謝部長也謝謝董事長謝謝委員