iVOD / 168127

Field Value
IVOD_ID 168127
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168127
日期 2026-04-01
會議資料.會議代碼 委員會-11-5-23-4
會議資料.會議代碼:str 第11屆第5會期交通委員會第4次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 4
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第5會期交通委員會第4次全體委員會議
影片種類 Clip
開始時間 2026-04-01T10:33:25+08:00
結束時間 2026-04-01T10:43:08+08:00
影片長度 00:09:43
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6ae3a98a11df106c380c84134ab7ef40e62ad2ff7c694815afe627a357cd2d7f69b51f63c6f260655ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林俊憲
委員發言時間 10:33:25 - 10:43:08
會議時間 2026-04-01T09:00:00+08:00
會議名稱 立法院第11屆第5會期交通委員會第4次全體委員會議(事由:一、邀請交通部部長陳世凱列席報告業務概況,並備質詢。二、邀請交通部部長陳世凱就「清明連續假期疏運方案規劃」進行專題報告,並備質詢。三、審查委員許智傑等22人擬具「引水法第六條條文修正草案」案。【本次會議僅進行詢答】【4月1日及2日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 2.89971875
transcript.pyannote[0].end 4.14846875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 4.75596875
transcript.pyannote[1].end 13.51409375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 20.83784375
transcript.pyannote[2].end 22.27221875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 22.66034375
transcript.pyannote[3].end 24.87096875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 25.24221875
transcript.pyannote[4].end 26.71034375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 27.16596875
transcript.pyannote[5].end 32.49846875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 32.85284375
transcript.pyannote[6].end 33.93284375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 34.18596875
transcript.pyannote[7].end 36.58221875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 37.13909375
transcript.pyannote[8].end 38.32034375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 39.11346875
transcript.pyannote[9].end 46.38659375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 46.77471875
transcript.pyannote[10].end 48.91784375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 46.90971875
transcript.pyannote[11].end 47.26409375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 47.46659375
transcript.pyannote[12].end 48.61409375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 48.79971875
transcript.pyannote[13].end 53.89596875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 54.30096875
transcript.pyannote[14].end 55.02659375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 55.31346875
transcript.pyannote[15].end 57.38909375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 58.40159375
transcript.pyannote[16].end 61.06784375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 61.67534375
transcript.pyannote[17].end 62.48534375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 63.02534375
transcript.pyannote[18].end 65.40471875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 65.74221875
transcript.pyannote[19].end 66.65346875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 67.22721875
transcript.pyannote[20].end 70.02846875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 70.45034375
transcript.pyannote[21].end 71.41221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 71.98596875
transcript.pyannote[22].end 76.03596875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 76.67721875
transcript.pyannote[23].end 79.61346875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 80.60909375
transcript.pyannote[24].end 82.85346875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 83.47784375
transcript.pyannote[25].end 85.95846875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 86.48159375
transcript.pyannote[26].end 88.06784375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 89.33346875
transcript.pyannote[27].end 89.95784375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 90.46409375
transcript.pyannote[28].end 90.97034375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 91.93221875
transcript.pyannote[29].end 93.72096875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 94.51409375
transcript.pyannote[30].end 94.76721875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 95.23971875
transcript.pyannote[31].end 96.18471875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 96.75846875
transcript.pyannote[32].end 100.18409375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 100.38659375
transcript.pyannote[33].end 101.50034375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 101.85471875
transcript.pyannote[34].end 102.52971875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 103.05284375
transcript.pyannote[35].end 105.90471875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 106.76534375
transcript.pyannote[36].end 107.89596875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 108.46971875
transcript.pyannote[37].end 114.71346875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 115.57409375
transcript.pyannote[38].end 119.79284375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 120.65346875
transcript.pyannote[39].end 122.34096875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 123.55596875
transcript.pyannote[40].end 125.53034375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 125.91846875
transcript.pyannote[41].end 127.20096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 128.14596875
transcript.pyannote[42].end 132.04409375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 132.51659375
transcript.pyannote[43].end 134.30534375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 135.57096875
transcript.pyannote[44].end 136.63409375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 137.32596875
transcript.pyannote[45].end 138.05159375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 138.27096875
transcript.pyannote[46].end 139.90784375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 140.21159375
transcript.pyannote[47].end 143.58659375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 144.19409375
transcript.pyannote[48].end 144.48096875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 144.54846875
transcript.pyannote[49].end 145.20659375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 146.20221875
transcript.pyannote[50].end 147.33284375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 147.33284375
transcript.pyannote[51].end 147.34971875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 147.68721875
transcript.pyannote[52].end 148.96971875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 148.96971875
transcript.pyannote[53].end 182.66909375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 152.51346875
transcript.pyannote[54].end 152.53034375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 155.92221875
transcript.pyannote[55].end 156.20909375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 158.62221875
transcript.pyannote[56].end 158.65596875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 158.67284375
transcript.pyannote[57].end 158.68971875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 172.02096875
transcript.pyannote[58].end 172.29096875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 183.14159375
transcript.pyannote[59].end 185.84159375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 185.68971875
transcript.pyannote[60].end 187.27596875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 187.76534375
transcript.pyannote[61].end 194.19471875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 194.93721875
transcript.pyannote[62].end 195.20721875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 195.66284375
transcript.pyannote[63].end 197.40096875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 197.80596875
transcript.pyannote[64].end 199.12221875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 199.59471875
transcript.pyannote[65].end 201.01221875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 201.60284375
transcript.pyannote[66].end 204.33659375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 204.33659375
transcript.pyannote[67].end 224.36721875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 206.98596875
transcript.pyannote[68].end 207.44159375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 210.02346875
transcript.pyannote[69].end 210.29346875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 215.91284375
transcript.pyannote[70].end 216.23346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 216.89159375
transcript.pyannote[71].end 217.17846875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 221.17784375
transcript.pyannote[72].end 223.11846875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 223.74284375
transcript.pyannote[73].end 229.39596875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 229.68284375
transcript.pyannote[74].end 236.23034375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 234.96471875
transcript.pyannote[75].end 236.51721875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 236.51721875
transcript.pyannote[76].end 236.53409375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 236.53409375
transcript.pyannote[77].end 236.55096875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 236.55096875
transcript.pyannote[78].end 236.61846875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 236.61846875
transcript.pyannote[79].end 240.90471875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 236.75346875
transcript.pyannote[80].end 236.98971875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 240.90471875
transcript.pyannote[81].end 244.51596875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 244.88721875
transcript.pyannote[82].end 247.26659375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 247.80659375
transcript.pyannote[83].end 250.35471875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 251.13096875
transcript.pyannote[84].end 252.12659375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 252.61596875
transcript.pyannote[85].end 254.32034375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 254.45534375
transcript.pyannote[86].end 255.45096875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 255.61971875
transcript.pyannote[87].end 256.34534375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 257.05409375
transcript.pyannote[88].end 258.08346875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 258.50534375
transcript.pyannote[89].end 260.83409375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 261.72846875
transcript.pyannote[90].end 266.18346875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 266.99346875
transcript.pyannote[91].end 269.74409375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 270.97596875
transcript.pyannote[92].end 273.82784375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 274.31721875
transcript.pyannote[93].end 275.48159375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 275.83596875
transcript.pyannote[94].end 277.18596875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 277.67534375
transcript.pyannote[95].end 280.93221875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 281.53971875
transcript.pyannote[96].end 283.17659375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 283.93596875
transcript.pyannote[97].end 285.31971875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 285.80909375
transcript.pyannote[98].end 287.34471875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 287.96909375
transcript.pyannote[99].end 288.27284375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 288.99846875
transcript.pyannote[100].end 289.65659375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 289.96034375
transcript.pyannote[101].end 295.64721875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 296.08596875
transcript.pyannote[102].end 296.92971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 297.28409375
transcript.pyannote[103].end 299.96721875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 300.62534375
transcript.pyannote[104].end 303.62909375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 304.42221875
transcript.pyannote[105].end 305.90721875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 306.43034375
transcript.pyannote[106].end 306.70034375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 307.00409375
transcript.pyannote[107].end 314.56409375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 314.81721875
transcript.pyannote[108].end 319.96409375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 320.62221875
transcript.pyannote[109].end 323.96346875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 324.52034375
transcript.pyannote[110].end 326.37659375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 327.49034375
transcript.pyannote[111].end 328.80659375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 329.51534375
transcript.pyannote[112].end 334.03784375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 334.22346875
transcript.pyannote[113].end 335.35409375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 335.48909375
transcript.pyannote[114].end 336.26534375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 336.55221875
transcript.pyannote[115].end 337.81784375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 338.23971875
transcript.pyannote[116].end 340.99034375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 341.63159375
transcript.pyannote[117].end 343.87596875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 344.50034375
transcript.pyannote[118].end 346.00221875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 346.13721875
transcript.pyannote[119].end 348.11159375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 348.24659375
transcript.pyannote[120].end 351.06471875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 348.63471875
transcript.pyannote[121].end 348.71909375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 351.57096875
transcript.pyannote[122].end 351.89159375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 352.49909375
transcript.pyannote[123].end 355.53659375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 357.03846875
transcript.pyannote[124].end 358.21971875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 359.24909375
transcript.pyannote[125].end 360.61596875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 361.20659375
transcript.pyannote[126].end 362.21909375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 362.59034375
transcript.pyannote[127].end 366.16784375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 366.62346875
transcript.pyannote[128].end 369.25596875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 369.91409375
transcript.pyannote[129].end 375.44909375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 375.78659375
transcript.pyannote[130].end 381.38909375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 382.36784375
transcript.pyannote[131].end 386.99159375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 387.46409375
transcript.pyannote[132].end 388.98284375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 389.94471875
transcript.pyannote[133].end 393.67409375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 394.43346875
transcript.pyannote[134].end 394.90596875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 395.20971875
transcript.pyannote[135].end 395.54721875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 395.90159375
transcript.pyannote[136].end 397.75784375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 398.83784375
transcript.pyannote[137].end 399.91784375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 400.87971875
transcript.pyannote[138].end 401.55471875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 403.02284375
transcript.pyannote[139].end 406.02659375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 406.16159375
transcript.pyannote[140].end 407.20784375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 408.16971875
transcript.pyannote[141].end 408.76034375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 408.89534375
transcript.pyannote[142].end 410.66721875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 410.97096875
transcript.pyannote[143].end 412.99596875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 413.29971875
transcript.pyannote[144].end 415.61159375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 416.62409375
transcript.pyannote[145].end 418.04159375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 418.66596875
transcript.pyannote[146].end 419.30721875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 420.84284375
transcript.pyannote[147].end 421.51784375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 422.59784375
transcript.pyannote[148].end 423.71159375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 424.35284375
transcript.pyannote[149].end 425.33159375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 427.57596875
transcript.pyannote[150].end 429.14534375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 429.28034375
transcript.pyannote[151].end 430.74846875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 431.82846875
transcript.pyannote[152].end 432.21659375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 433.22909375
transcript.pyannote[153].end 438.29159375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 438.74721875
transcript.pyannote[154].end 440.21534375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 440.90721875
transcript.pyannote[155].end 441.73409375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 442.15596875
transcript.pyannote[156].end 442.61159375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 442.89846875
transcript.pyannote[157].end 443.18534375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 443.65784375
transcript.pyannote[158].end 445.98659375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 446.56034375
transcript.pyannote[159].end 447.45471875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 447.85971875
transcript.pyannote[160].end 449.39534375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 450.07034375
transcript.pyannote[161].end 451.90971875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 452.02784375
transcript.pyannote[162].end 452.70284375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 453.09096875
transcript.pyannote[163].end 454.59284375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 454.94721875
transcript.pyannote[164].end 455.43659375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 455.87534375
transcript.pyannote[165].end 458.13659375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 459.19971875
transcript.pyannote[166].end 459.50346875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 460.02659375
transcript.pyannote[167].end 460.76909375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 460.92096875
transcript.pyannote[168].end 463.18221875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 463.60409375
transcript.pyannote[169].end 467.43471875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 468.24471875
transcript.pyannote[170].end 470.92784375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 471.24846875
transcript.pyannote[171].end 472.49721875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 473.30721875
transcript.pyannote[172].end 474.67409375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 474.89346875
transcript.pyannote[173].end 476.05784375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 476.39534375
transcript.pyannote[174].end 478.99409375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 478.99409375
transcript.pyannote[175].end 480.15846875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 480.63096875
transcript.pyannote[176].end 486.11534375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 486.33471875
transcript.pyannote[177].end 490.63784375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 490.63784375
transcript.pyannote[178].end 499.66596875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 490.65471875
transcript.pyannote[179].end 491.26221875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 498.33284375
transcript.pyannote[180].end 499.54784375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 499.66596875
transcript.pyannote[181].end 499.81784375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 499.81784375
transcript.pyannote[182].end 500.49284375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 499.90221875
transcript.pyannote[183].end 515.42721875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 514.11096875
transcript.pyannote[184].end 517.30034375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 515.91659375
transcript.pyannote[185].end 516.82784375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 517.82346875
transcript.pyannote[186].end 532.30221875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 518.02596875
transcript.pyannote[187].end 518.49846875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 524.65784375
transcript.pyannote[188].end 525.55221875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 526.71659375
transcript.pyannote[189].end 526.86846875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 529.92284375
transcript.pyannote[190].end 535.01909375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 533.78721875
transcript.pyannote[191].end 534.12471875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 535.03596875
transcript.pyannote[192].end 535.08659375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 535.08659375
transcript.pyannote[193].end 535.10346875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 535.10346875
transcript.pyannote[194].end 536.72346875
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 535.39034375
transcript.pyannote[195].end 535.57596875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 537.07784375
transcript.pyannote[196].end 540.36846875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 540.77346875
transcript.pyannote[197].end 541.11096875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 541.49909375
transcript.pyannote[198].end 548.29971875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 548.33346875
transcript.pyannote[199].end 548.36721875
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 548.36721875
transcript.pyannote[200].end 548.83971875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 548.83971875
transcript.pyannote[201].end 548.97471875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 548.97471875
transcript.pyannote[202].end 560.66909375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 560.66909375
transcript.pyannote[203].end 583.34909375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 566.40659375
transcript.pyannote[204].end 569.02221875
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 576.14346875
transcript.pyannote[205].end 576.36284375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 579.70409375
transcript.pyannote[206].end 579.82221875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 580.66596875
transcript.pyannote[207].end 580.80096875
transcript.whisperx[0].start 2.932
transcript.whisperx[0].end 13.197
transcript.whisperx[0].text 好謝謝主席本席邀請我們交通部陳部長來請陳部長我們中華電信的簡董事長簡董事長我們高鐵的施董事長施董事長
transcript.whisperx[1].start 20.848
transcript.whisperx[1].end 35.674
transcript.whisperx[1].text 委員好部長好部長我今天特別邀請兩位跟民眾生活關係最密切的兩位董事長中華電信還有我們台灣高鐵一起來探討幾個問題第一個問題
transcript.whisperx[2].start 39.178
transcript.whisperx[2].end 66.108
transcript.whisperx[2].text 我想我先請教中華電信簡董事長你有沒有知不知道這個事情就是台南亞太棒球場正式啟用報告委員知道3月29開幕戰當天這個整個台南亞太棒球場的區域轉播都斷了訊號全部都沒有網路因為我們的總統是棒球迷那也是也是私迷總統賴清德他是全場
transcript.whisperx[3].start 67.267
transcript.whisperx[3].end 88.116
transcript.whisperx[3].text 看到我們都陪他我們都在那邊看球但是整整差不多四個小時了三四個小時了現場完全沒有手機訊號連總統旁邊的隨行助理市政府很多要聯絡事項的全部都沒有手機訊號一直到總統看到球賽快結束
transcript.whisperx[4].start 95.291
transcript.whisperx[4].end 122.349
transcript.whisperx[4].text 那總統要離開那我們也陪同總統到總統的車隊上車那已經在場外了當場還是完全沒有手機訊號那擅長的時候啦當天幾乎滿座啦兩萬三千多位民眾出來很多民眾看到我就抱怨啦就在那邊罵沒辦法聯絡啦沒辦法聯絡完全都沒有手機訊號聽說只有台哥大有啦
transcript.whisperx[5].start 123.709
transcript.whisperx[5].end 142.858
transcript.whisperx[5].text 中華電信案遠傳都沒有訊號那台客大為什麼有訊號因為台客大他有超檢部署啦他知道那天人很多所以就開一台訊號出去啦所以這種事情現在職棒的球季已經開打經常性的會在台南的亞太棒球場來辦
transcript.whisperx[6].start 144.696
transcript.whisperx[6].end 160.048
transcript.whisperx[6].text 比賽啊不可以再有這種狀況請立刻改善來 董事長委員 我跟你報告就是這個開賽我們知道大概容納兩萬五千人那天確實剛好都是差不多兩萬四、兩萬五事實上中華電力之前
transcript.whisperx[7].start 160.928
transcript.whisperx[7].end 171.033
transcript.whisperx[7].text 我們在裡面就有20個細胞當時是有增加到32個細胞那確實因為人湧進來之後那個提供細胞的電力過熱所以細胞有時候飄來飄去所以那個訊號會斷斷續續確實當時有這個現象後來調適大概經歷了50幾分鐘好那這個現象已經發生後面我們要改善一步你內腔後面幫你報告
transcript.whisperx[8].start 187.842
transcript.whisperx[8].end 216.737
transcript.whisperx[8].text 不是 他說好像細胞沒有電力不穩然後調整以後就恢復正常完全沒有訊號啦到碎掉 歸掉都沒有訊號啦所以很多網友在網路上罵翻了啦所以你要幫他去改善好嗎有啊 現在就是有採取三個動作啦一個就是細胞在增加第一個動作電力設備也在增加那另外就是行動車啦聚集的時候我們現在會加派行動車
transcript.whisperx[9].start 217.717
transcript.whisperx[9].end 246.436
transcript.whisperx[9].text 那另外4月10號也約了這個業主 應該是台南市政府因為職幫已經開打了 台北大巨蛋四萬個 多多都有信號台南球場只有兩萬五 應該不會造成容量太大當機的問題市政府也約了4月10號在裡面再廠刊再增加我們中華電信立刻改善好不好 好 謝謝那接下來我會請教高鐵
transcript.whisperx[10].start 248.037
transcript.whisperx[10].end 269.594
transcript.whisperx[10].text 這高鐵的營運啊 服務啊 其實口碑都非常好啦那我接到唯一民眾抱怨最多 最詬病的罵得最兇的 就是行李空間不足像我幾乎把 我沒辦法啦 我把高鐵當捷運在上下班那我每次在高鐵上看到喔
transcript.whisperx[11].start 271.401
transcript.whisperx[11].end 287.135
transcript.whisperx[11].text 看到旅客推著搭行李撞來撞去看到很抱歉因為真的找不到行李的置放空間這個問題也反映很久了我們希望高鐵能夠盡快來改善
transcript.whisperx[12].start 289.056
transcript.whisperx[12].end 303.591
transcript.whisperx[12].text 其中我們在每一個車廂都有一個行李自放區那最常發生的 我這都拿網友在網路上他們所投訴的問題啦基本上那個地方應該是要放大行李嘛
transcript.whisperx[13].start 304.448
transcript.whisperx[13].end 328.634
transcript.whisperx[13].text 但是有的民眾因為方便嘛他到坐 要去他的坐位陣營喔經過那個行李區就把他的行李放了不管他的行李大或小所以有時候會看見幾個都是登機箱那個二十吋的小卡的就給他占滿了因為我們的行李區 置放區只有一層所以放的東西就沒有了那有的民眾喔
transcript.whisperx[14].start 329.554
transcript.whisperx[14].end 355.259
transcript.whisperx[14].text 就招來招去啦 這個車廂 下個車廂這樣找看有空間沒有啦如果沒有 沒有的 就抱著行李坐在位置上這個也是民眾拍的照片啦你看喔 那是長途搭高鐵啦他的腳部空間啊 抱一個大行李廂啊坐到中間啦 坐到腳抽筋啦那我們來看一下啦 我舉一個例子 像日本喔
transcript.whisperx[15].start 357.699
transcript.whisperx[15].end 381.007
transcript.whisperx[15].text 日本就宣傳得非常好 你看那個座位上面的那個架 那真的是放行李的你看它擺滿了都是小的行李箱 日本人已經習慣了他設下行李 讓我們登機箱 他不會放在車廂平面的那個行李四方去 他會放在他的位置上面
transcript.whisperx[16].start 382.403
transcript.whisperx[16].end 401.087
transcript.whisperx[16].text 那我們的旅客基本上還很少有這樣的一個概念我認為這個要加強宣傳你看日本甚至於你大行李你要先預約空間還收錢你看大行李去給你放還要你收錢我們再看一下你看韓國韓國是在兩個車廂之間它都設為行李自放區
transcript.whisperx[17].start 408.383
transcript.whisperx[17].end 415.789
transcript.whisperx[17].text 其實我們車廂跟車廂中間 廁所位置不算我們車廂跟車廂中間其實還有空間看能不能立刻改善再來 你看台鐵台鐵的行李區 它現在坐在地上台鐵這個做法其實非常有效你知道嗎
transcript.whisperx[18].start 433.257
transcript.whisperx[18].end 457.833
transcript.whisperx[18].text 我們的行李區就是說 因為你現在放電影 你沒有第二層你沒有上面這個鐵架 沒有第二層你就沒有空間放了嘛一般人就不 也不會把我的行李放在你的行李箱裡所以罵就罵啦 但台鐵那做這個鐵架我們去看就很多小行李廂 登機廂20吋的那種 它就放在第二層把下面的空間讓給大行李區啦
transcript.whisperx[19].start 460.1
transcript.whisperx[19].end 470.198
transcript.whisperx[19].text 我覺得這個行李問題現在迫切很多民怨要趕快解決 要馬上來解決那未來我們高鐵新訂製的車廂
transcript.whisperx[20].start 473.359
transcript.whisperx[20].end 496.799
transcript.whisperx[20].text 更應該要把行李自放列為一個重要的設施好不好我們請教董事長好 謝謝你的關心我想行李自放它確實是這幾年應該是全世界這個大家人移動的習慣的改變因為台灣一年有超過一千萬人是出國是所以現在大型利害是
transcript.whisperx[21].start 497.079
transcript.whisperx[21].end 516.049
transcript.whisperx[21].text 大家高鐵的旅客非常多事實上包括連國內的營地都攜帶大量的行李所以我想大概採訪兩個方面來解決第一個就是有關於既有行李架的雙層化在新車以及舊車我們都會同步的要求那也會在明年上路第二個就是我做個美女 拜託你
transcript.whisperx[22].start 518.03
transcript.whisperx[22].end 539.93
transcript.whisperx[22].text 第二個就是說這個我們這個宣導大家民眾事實上是要把小型行李放在這個乘車架上這個部分我們也會來進行我想這整體是有賴的台灣人很有功德心有的人只是不注意沒想到或者說他的方便所以經過行李區他的小行李也放在那你如果加強宣導
transcript.whisperx[23].start 541.551
transcript.whisperx[23].end 567.541
transcript.whisperx[23].text 是或者是我們的台鐵工作人員可不可以也幫民眾把小行李就放在行李車上面對 我們會來全面性的來進行這個宣導我想這個是乘車禮儀我們接下來的一個重點啦我想大家有賴於大家互相以及我們在設備上的改進一起來促成來達成 好謝謝不然你說要到明年我是覺得你也當逐步來改善立刻就可以做啦因為這個雙程車廂 逐步改善
transcript.whisperx[24].start 569.722
transcript.whisperx[24].end 580.367
transcript.whisperx[24].text 這你要先做啦我們是逐步改善但是三十四組雙層的行李置放這可以先做啦有在做啦但是三十四組車要全部完成要到明年了好 了解謝謝謝謝兩位董事長謝謝部長