iVOD / 164832

Field Value
IVOD_ID 164832
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164832
日期 2025-10-29
會議資料.會議代碼 委員會-11-4-23-4
會議資料.會議代碼:str 第11屆第4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 4
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4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 2025-10-29T12:24:02+08:00
結束時間 2025-10-29T12:30:35+08:00
影片長度 00:06:33
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3d43f2f62388da51b2f93e49ac71a00ac033660070f94f421e9be59762a4979ec51d64fd757f76385ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 謝龍介
委員發言時間 12:24:02 - 12:30:35
會議時間 2025-10-29T09:00:00+08:00
會議名稱 立法院第11屆第4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、國營臺灣鐵路股份有限公司董事長及勞動部就「臺鐵各地車站旅客安全措施檢討、改善員工職場安全及勞動條件」進行專題報告,並備質詢。 二、邀請交通部部長及交通部鐵道局局長就「全台軌道建設進度」進行專題報告,並備質詢。 【10月27日、29日及30日三天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 3.77721875
transcript.pyannote[0].end 6.25784375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 6.69659375
transcript.pyannote[1].end 8.46846875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 17.54721875
transcript.pyannote[2].end 19.08284375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 18.23909375
transcript.pyannote[3].end 18.72846875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 20.14596875
transcript.pyannote[4].end 23.92596875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 25.52909375
transcript.pyannote[5].end 26.06909375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 26.06909375
transcript.pyannote[6].end 26.08596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 28.46534375
transcript.pyannote[7].end 33.96659375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 29.27534375
transcript.pyannote[8].end 31.65471875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 33.96659375
transcript.pyannote[9].end 34.11846875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 34.11846875
transcript.pyannote[10].end 34.20284375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 34.20284375
transcript.pyannote[11].end 34.23659375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 35.62034375
transcript.pyannote[12].end 35.63721875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 35.63721875
transcript.pyannote[13].end 36.29534375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 36.29534375
transcript.pyannote[14].end 36.97034375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 36.97034375
transcript.pyannote[15].end 37.45971875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 37.69596875
transcript.pyannote[16].end 39.75471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 39.75471875
transcript.pyannote[17].end 39.80534375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 39.80534375
transcript.pyannote[18].end 39.83909375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 39.83909375
transcript.pyannote[19].end 40.36221875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 41.76284375
transcript.pyannote[20].end 49.27221875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 49.86284375
transcript.pyannote[21].end 50.85846875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 51.60096875
transcript.pyannote[22].end 51.92159375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 52.69784375
transcript.pyannote[23].end 55.31346875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 55.97159375
transcript.pyannote[24].end 56.86596875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 58.08096875
transcript.pyannote[25].end 59.97096875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 60.96659375
transcript.pyannote[26].end 62.53596875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 63.71721875
transcript.pyannote[27].end 65.47221875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 66.11346875
transcript.pyannote[28].end 70.26471875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 71.59784375
transcript.pyannote[29].end 74.44971875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 75.22596875
transcript.pyannote[30].end 75.88409375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 76.44096875
transcript.pyannote[31].end 77.92596875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 78.97221875
transcript.pyannote[32].end 80.32221875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 80.76096875
transcript.pyannote[33].end 81.72284375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 82.48221875
transcript.pyannote[34].end 83.57909375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 84.20346875
transcript.pyannote[35].end 85.94159375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 86.63346875
transcript.pyannote[36].end 87.27471875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 88.91159375
transcript.pyannote[37].end 90.41346875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 91.22346875
transcript.pyannote[38].end 92.01659375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 93.07971875
transcript.pyannote[39].end 94.86846875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 94.96971875
transcript.pyannote[40].end 95.02034375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 97.55159375
transcript.pyannote[41].end 113.07659375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 114.25784375
transcript.pyannote[42].end 116.04659375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 118.49346875
transcript.pyannote[43].end 120.46784375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 120.77159375
transcript.pyannote[44].end 121.81784375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 122.89784375
transcript.pyannote[45].end 134.15346875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 123.57284375
transcript.pyannote[46].end 124.36596875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 128.06159375
transcript.pyannote[47].end 128.34846875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 129.81659375
transcript.pyannote[48].end 130.13721875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 135.28409375
transcript.pyannote[49].end 136.58346875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 137.76471875
transcript.pyannote[50].end 155.34846875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 145.27409375
transcript.pyannote[51].end 146.60721875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 151.43346875
transcript.pyannote[52].end 152.91846875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 153.37409375
transcript.pyannote[53].end 155.33159375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 155.34846875
transcript.pyannote[54].end 161.59221875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 162.41909375
transcript.pyannote[55].end 162.45284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 162.45284375
transcript.pyannote[56].end 163.97159375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 163.97159375
transcript.pyannote[57].end 164.07284375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 164.07284375
transcript.pyannote[58].end 164.10659375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 166.75596875
transcript.pyannote[59].end 167.17784375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 167.51534375
transcript.pyannote[60].end 170.92409375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 169.82721875
transcript.pyannote[61].end 170.75534375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 171.09284375
transcript.pyannote[62].end 172.79721875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 173.45534375
transcript.pyannote[63].end 174.14721875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 175.10909375
transcript.pyannote[64].end 176.20596875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 176.94846875
transcript.pyannote[65].end 178.39971875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 179.14221875
transcript.pyannote[66].end 180.10409375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 183.15846875
transcript.pyannote[67].end 183.22596875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 183.22596875
transcript.pyannote[68].end 184.81221875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 183.25971875
transcript.pyannote[69].end 183.73221875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 185.09909375
transcript.pyannote[70].end 185.16659375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 185.16659375
transcript.pyannote[71].end 185.45346875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 185.45346875
transcript.pyannote[72].end 189.16596875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 185.99346875
transcript.pyannote[73].end 186.80346875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 189.16596875
transcript.pyannote[74].end 189.68909375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 189.68909375
transcript.pyannote[75].end 190.97159375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 190.97159375
transcript.pyannote[76].end 192.49034375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 192.94596875
transcript.pyannote[77].end 195.17346875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 195.78096875
transcript.pyannote[78].end 199.61159375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 199.78034375
transcript.pyannote[79].end 202.02471875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 202.83471875
transcript.pyannote[80].end 206.66534375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 205.55159375
transcript.pyannote[81].end 210.83346875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 211.35659375
transcript.pyannote[82].end 211.37346875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 211.37346875
transcript.pyannote[83].end 211.96409375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 211.96409375
transcript.pyannote[84].end 215.11971875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 215.35596875
transcript.pyannote[85].end 220.13159375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 221.04284375
transcript.pyannote[86].end 224.62034375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 225.27846875
transcript.pyannote[87].end 228.14721875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 229.19346875
transcript.pyannote[88].end 231.84284375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 232.56846875
transcript.pyannote[89].end 235.43721875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 232.65284375
transcript.pyannote[90].end 233.05784375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 233.93534375
transcript.pyannote[91].end 235.47096875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 236.48346875
transcript.pyannote[92].end 237.47909375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 238.12034375
transcript.pyannote[93].end 240.78659375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 241.88346875
transcript.pyannote[94].end 243.14909375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 243.55409375
transcript.pyannote[95].end 245.62971875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 245.88284375
transcript.pyannote[96].end 247.84034375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 248.88659375
transcript.pyannote[97].end 249.73034375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 250.92846875
transcript.pyannote[98].end 253.18971875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 254.05034375
transcript.pyannote[99].end 255.51846875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 257.44221875
transcript.pyannote[100].end 260.83409375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 261.94784375
transcript.pyannote[101].end 264.51284375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 265.55909375
transcript.pyannote[102].end 267.85409375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 268.34346875
transcript.pyannote[103].end 271.06034375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 271.60034375
transcript.pyannote[104].end 272.52846875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 273.35534375
transcript.pyannote[105].end 275.19471875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 275.66721875
transcript.pyannote[106].end 278.21534375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 280.10534375
transcript.pyannote[107].end 280.99971875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 281.11784375
transcript.pyannote[108].end 282.55221875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 282.75471875
transcript.pyannote[109].end 285.85971875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 286.66971875
transcript.pyannote[110].end 289.31909375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 290.33159375
transcript.pyannote[111].end 291.19221875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 291.79971875
transcript.pyannote[112].end 294.26346875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 294.76971875
transcript.pyannote[113].end 297.28409375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 298.02659375
transcript.pyannote[114].end 300.28784375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 301.14846875
transcript.pyannote[115].end 303.15659375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 304.13534375
transcript.pyannote[116].end 305.19846875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 305.87346875
transcript.pyannote[117].end 310.09221875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 311.25659375
transcript.pyannote[118].end 313.02846875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 313.65284375
transcript.pyannote[119].end 315.50909375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 315.82971875
transcript.pyannote[120].end 316.58909375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 317.71971875
transcript.pyannote[121].end 319.10346875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 319.64346875
transcript.pyannote[122].end 320.67284375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 321.38159375
transcript.pyannote[123].end 323.15346875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 324.50346875
transcript.pyannote[124].end 325.60034375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 326.41034375
transcript.pyannote[125].end 327.28784375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 328.01346875
transcript.pyannote[126].end 331.20284375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 332.45159375
transcript.pyannote[127].end 334.10534375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 334.86471875
transcript.pyannote[128].end 335.86034375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 336.97409375
transcript.pyannote[129].end 337.66596875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 338.37471875
transcript.pyannote[130].end 338.88096875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 339.69096875
transcript.pyannote[131].end 341.05784375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 341.29409375
transcript.pyannote[132].end 342.30659375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 342.30659375
transcript.pyannote[133].end 342.32346875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 342.55971875
transcript.pyannote[134].end 344.02784375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 344.02784375
transcript.pyannote[135].end 344.82096875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 345.34409375
transcript.pyannote[136].end 345.36096875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 345.36096875
transcript.pyannote[137].end 351.80721875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 351.80721875
transcript.pyannote[138].end 352.09409375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 351.89159375
transcript.pyannote[139].end 351.94221875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 352.09409375
transcript.pyannote[140].end 352.97159375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 352.97159375
transcript.pyannote[141].end 360.02534375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 360.02534375
transcript.pyannote[142].end 360.19409375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 361.40909375
transcript.pyannote[143].end 361.42596875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 361.42596875
transcript.pyannote[144].end 367.04534375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 367.83846875
transcript.pyannote[145].end 369.59346875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 369.59346875
transcript.pyannote[146].end 369.64409375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 369.88034375
transcript.pyannote[147].end 370.13346875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 370.52159375
transcript.pyannote[148].end 376.36034375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 376.83284375
transcript.pyannote[149].end 382.77284375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 383.14409375
transcript.pyannote[150].end 387.26159375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 387.91971875
transcript.pyannote[151].end 389.84346875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 390.06284375
transcript.pyannote[152].end 390.43409375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 390.56909375
transcript.pyannote[153].end 391.78409375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 391.78409375
transcript.pyannote[154].end 392.23971875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 392.42534375
transcript.pyannote[155].end 392.96534375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 392.96534375
transcript.pyannote[156].end 393.16784375
transcript.whisperx[0].start 4.006
transcript.whisperx[0].end 8.27
transcript.whisperx[0].text 主席我請補充到這個剃漏局好 陳部長跟楊局長請台南剃漏地下化你知不知道頭高要做多久啊對 局長
transcript.whisperx[1].start 29.05
transcript.whisperx[1].end 37.014
transcript.whisperx[1].text 1999年 年前做議長的時候就下定了後到老條件做行政議長再度下定1991年台南市開始推動了1991年
transcript.whisperx[2].start 58.14
transcript.whisperx[2].end 69.283
transcript.whisperx[2].text 那麼到落實狀的時候為了剔弱當宜他怕去氣自己各個支撲要求獨發局一個一個去拜訪所以落當的抗爭那麼進行因為環境差異分析這個不做沿途互動這就是落實狀的進行的起點
transcript.whisperx[3].start 88.956
transcript.whisperx[3].end 115.86
transcript.whisperx[3].text 那麼中盛開工了,有什麼時候要完工?現在我們有的民營可以通車,整體完工還要分兩階段明年是第一階段下地台南車站通車那另外新增的車站呢,會在後面一一八年跟一一九年來分別啟用董事長你知道嗎?
transcript.whisperx[4].start 122.948
transcript.whisperx[4].end 130.331
transcript.whisperx[4].text 永康目前都還在程序當中是可行性研究核定但是進入中規計畫就是設計跟這個規劃的部分我們希望不要這麼久
transcript.whisperx[5].start 137.813
transcript.whisperx[5].end 161.003
transcript.whisperx[5].text 保證要有霹靂我是都給你額外的給你報告我們當時台南的地下化的過程當中您剛講的歷史是確實有發生但有一些是因為我們挖到了歷史古蹟那如果永康這一段沒有挖到歷史古蹟我們當然就可以遭監禁你現在鐵路橋到寶雄 壽雄這個台南火車站你們都賠多少錢有賠款嗎
transcript.whisperx[6].start 166.789
transcript.whisperx[6].end 179.481
transcript.whisperx[6].text 多少 現在我手上沒有掌握這個我等一下再瞭解一下 你仲裁的時候輸嘛 總共賠多少錢台南車站的收戶
transcript.whisperx[7].start 183.208
transcript.whisperx[7].end 210.387
transcript.whisperx[7].text 不知道不知道 我們手上現在沒有掌握資料這樣喔還是是台鐵公司不斷賠錢 再輸港幣延長我們是不是會去負責我們鐵路地下化的市場延誤這部分當然已經解決了我們就是照現在剛剛局長所報告的那個時程我們就照那個下去趕工
transcript.whisperx[8].start 211.471
transcript.whisperx[8].end 240.476
transcript.whisperx[8].text 所以本席在這裡就是要跟你說 鐵路局在這個鐵路當中對台南市是最重要的我也不是在怪老總統 冬季市的老市長空檔六檔你覺得做一個什麼事可以讓一個工廠把我們空檔六檔那個都不是空轉 都是有進度在進行他在做的是你在台中做議員 你不是在台南
transcript.whisperx[9].start 241.943
transcript.whisperx[9].end 255.468
transcript.whisperx[9].text 我請問老闆,三、四年來第一任,你有在台南市做什麼建設嗎?他認不出來,我說你認了,你只要做一間建設,我才是市長議員人家說沒有啦,人家是客氣啦,不可以讓你為難結果到四年到一年任的時候
transcript.whisperx[10].start 265.612
transcript.whisperx[10].end 288.865
transcript.whisperx[10].text 一直第二輪的九七天的跟台南的鄉親說什麼?各位市民鄉親,我是熱情的過去的四年我都在幾月,未來的四年,台南的大進步所以四年的幾月,一樣嘛,鐵路地下化,六年的空檔所以本席今天要跟你說的就是說,英雄
transcript.whisperx[11].start 290.853
transcript.whisperx[11].end 316.256
transcript.whisperx[11].text 會變化 生氣會變化 不能讓我們再來一個二十幾年這樣對台南市完全沒有幫忙台南市正在二十七 三十七的封合這條鐵路起來所有的這邊高度尤其是在市內高通最繁忙這個地方 能讓台南市一個特別 中性
transcript.whisperx[12].start 317.762
transcript.whisperx[12].end 323.085
transcript.whisperx[12].text 那麼這個歷代這麼長變成有20公里的歷代這是可以讓大台南做一個新的城市整個因為這是一個故鄉條件不像你們台中和高雄這麼好
transcript.whisperx[13].start 337.048
transcript.whisperx[13].end 357.345
transcript.whisperx[13].text 所以 部長你起來告訴我 本席請教你這件案件可以加速進行我們會加速進行永康的這個地下化跟您所提到的後面那一段的高架化我們都會加速進行因為我看林委員所有台南市的建設差不多都會進出的這牽棒作者都會進出 但是這條進出不對這條也本席來進出 你看
transcript.whisperx[14].start 361.442
transcript.whisperx[14].end 387.003
transcript.whisperx[14].text 很多委員大家都一起來爭取也很感謝謝委員也很努力在爭取我今天頭一半會幫你提出不然這塊你如果今天答應我好要加速來推動我也可以拆這塊牆壁不然他拆整塊地對不對現在進步是大家共同關心看到現在的鐵路地下滑到未來這條地下高架下滑
transcript.whisperx[15].start 387.967
transcript.whisperx[15].end 392.927
transcript.whisperx[15].text 本縣對你有過度的期待 好不好 我們交通部會努力謝謝委員