iVOD / 164774

Field Value
IVOD_ID 164774
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164774
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 2025-10-29T10:21:39+08:00
結束時間 2025-10-29T10:30:10+08:00
影片長度 00:08:31
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3d43f2f62388da51bb0a4566270d61a5c033660070f94f42a3c61875d63c713592d0a82c07ca83cd5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蔡其昌
委員發言時間 10:21:39 - 10:30:10
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_01
transcript.pyannote[0].start 2.22471875
transcript.pyannote[0].end 8.26596875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 8.33346875
transcript.pyannote[1].end 8.90721875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 15.92721875
transcript.pyannote[2].end 16.38284375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 16.97346875
transcript.pyannote[3].end 19.69034375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 20.01096875
transcript.pyannote[4].end 21.54659375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 22.37346875
transcript.pyannote[5].end 23.90909375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 24.66846875
transcript.pyannote[6].end 30.70971875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 31.45221875
transcript.pyannote[7].end 35.51909375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 34.32096875
transcript.pyannote[8].end 35.16471875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 35.75534375
transcript.pyannote[9].end 37.17284375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 37.72971875
transcript.pyannote[10].end 43.45034375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 39.29909375
transcript.pyannote[11].end 39.67034375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 40.26096875
transcript.pyannote[12].end 40.66596875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 43.06221875
transcript.pyannote[13].end 43.39971875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 43.66971875
transcript.pyannote[14].end 47.36534375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 47.55096875
transcript.pyannote[15].end 51.66846875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 52.47846875
transcript.pyannote[16].end 54.19971875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 54.55409375
transcript.pyannote[17].end 61.64159375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 62.14784375
transcript.pyannote[18].end 66.02909375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 63.46409375
transcript.pyannote[19].end 64.13909375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 66.02909375
transcript.pyannote[20].end 66.65346875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 66.65346875
transcript.pyannote[21].end 72.10409375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 72.62721875
transcript.pyannote[22].end 74.34846875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 74.50034375
transcript.pyannote[23].end 74.87159375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 74.87159375
transcript.pyannote[24].end 77.36909375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 77.65596875
transcript.pyannote[25].end 83.93346875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 84.42284375
transcript.pyannote[26].end 93.21471875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 91.03784375
transcript.pyannote[27].end 91.08846875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 91.10534375
transcript.pyannote[28].end 91.17284375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 94.07534375
transcript.pyannote[29].end 101.51721875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 101.95596875
transcript.pyannote[30].end 104.04846875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 104.31846875
transcript.pyannote[31].end 108.41909375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 108.41909375
transcript.pyannote[32].end 108.62159375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 108.62159375
transcript.pyannote[33].end 114.05534375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 114.52784375
transcript.pyannote[34].end 114.88221875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 115.48971875
transcript.pyannote[35].end 117.75096875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 118.76346875
transcript.pyannote[36].end 122.49284375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 123.28596875
transcript.pyannote[37].end 124.14659375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 124.92284375
transcript.pyannote[38].end 126.52596875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 126.96471875
transcript.pyannote[39].end 140.61659375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 132.95534375
transcript.pyannote[40].end 134.10284375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 140.61659375
transcript.pyannote[41].end 141.05534375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 141.00471875
transcript.pyannote[42].end 146.65784375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 146.91096875
transcript.pyannote[43].end 152.04096875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 152.05784375
transcript.pyannote[44].end 158.55471875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 159.17909375
transcript.pyannote[45].end 162.67221875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 162.87471875
transcript.pyannote[46].end 165.67596875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 166.31721875
transcript.pyannote[47].end 167.66721875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 168.35909375
transcript.pyannote[48].end 169.96221875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 170.16471875
transcript.pyannote[49].end 170.58659375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 170.55284375
transcript.pyannote[50].end 177.18471875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 177.35346875
transcript.pyannote[51].end 178.53471875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 179.63159375
transcript.pyannote[52].end 181.25159375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 181.97721875
transcript.pyannote[53].end 186.02721875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 186.61784375
transcript.pyannote[54].end 190.31346875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 190.54971875
transcript.pyannote[55].end 199.34159375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 198.86909375
transcript.pyannote[56].end 199.42596875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 199.35846875
transcript.pyannote[57].end 205.61909375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 205.61909375
transcript.pyannote[58].end 213.90471875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 211.35659375
transcript.pyannote[59].end 211.93034375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 214.64721875
transcript.pyannote[60].end 221.38034375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 216.21659375
transcript.pyannote[61].end 216.62159375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 219.15284375
transcript.pyannote[62].end 219.52409375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 220.40159375
transcript.pyannote[63].end 221.32971875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 222.12284375
transcript.pyannote[64].end 228.24846875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 229.00784375
transcript.pyannote[65].end 229.69971875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 230.49284375
transcript.pyannote[66].end 231.77534375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 232.58534375
transcript.pyannote[67].end 236.93909375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 237.32721875
transcript.pyannote[68].end 238.96409375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 239.31846875
transcript.pyannote[69].end 245.59596875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 246.03471875
transcript.pyannote[70].end 248.24534375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 248.93721875
transcript.pyannote[71].end 253.83096875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 254.23596875
transcript.pyannote[72].end 256.09221875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 256.54784375
transcript.pyannote[73].end 259.41659375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 259.46721875
transcript.pyannote[74].end 260.47971875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 260.83409375
transcript.pyannote[75].end 270.04784375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 265.37346875
transcript.pyannote[76].end 269.10284375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 269.44034375
transcript.pyannote[77].end 272.52846875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 272.39346875
transcript.pyannote[78].end 291.81659375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 274.70534375
transcript.pyannote[79].end 275.29596875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 278.24909375
transcript.pyannote[80].end 278.68784375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 283.66596875
transcript.pyannote[81].end 283.69971875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 286.75409375
transcript.pyannote[82].end 289.79159375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 290.63534375
transcript.pyannote[83].end 291.74909375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 292.49159375
transcript.pyannote[84].end 295.79909375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 296.62596875
transcript.pyannote[85].end 300.81096875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 301.62096875
transcript.pyannote[86].end 304.48971875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 304.57409375
transcript.pyannote[87].end 305.43471875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 304.97909375
transcript.pyannote[88].end 306.97034375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 307.83096875
transcript.pyannote[89].end 335.84346875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 326.49471875
transcript.pyannote[90].end 326.68034375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 326.69721875
transcript.pyannote[91].end 326.79846875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 331.65846875
transcript.pyannote[92].end 332.13096875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 335.94471875
transcript.pyannote[93].end 339.50534375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 339.55596875
transcript.pyannote[94].end 342.17159375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 342.23909375
transcript.pyannote[95].end 342.89721875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 342.89721875
transcript.pyannote[96].end 344.50034375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 344.90534375
transcript.pyannote[97].end 348.51659375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 348.97221875
transcript.pyannote[98].end 349.17471875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 349.17471875
transcript.pyannote[99].end 349.22534375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 349.22534375
transcript.pyannote[100].end 349.24221875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 349.63034375
transcript.pyannote[101].end 350.30534375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 352.22909375
transcript.pyannote[102].end 353.20784375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 353.68034375
transcript.pyannote[103].end 354.64221875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 355.23284375
transcript.pyannote[104].end 358.06784375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 358.06784375
transcript.pyannote[105].end 358.42221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 358.42221875
transcript.pyannote[106].end 364.36221875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 364.96971875
transcript.pyannote[107].end 370.08284375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 368.91846875
transcript.pyannote[108].end 369.35721875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 370.08284375
transcript.pyannote[109].end 373.03596875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 373.03596875
transcript.pyannote[110].end 375.44909375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 373.71096875
transcript.pyannote[111].end 373.96409375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 375.95534375
transcript.pyannote[112].end 381.08534375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 381.33846875
transcript.pyannote[113].end 385.67534375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 386.09721875
transcript.pyannote[114].end 387.02534375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 387.66659375
transcript.pyannote[115].end 391.54784375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 391.98659375
transcript.pyannote[116].end 395.05784375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 395.56409375
transcript.pyannote[117].end 397.26846875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 397.87596875
transcript.pyannote[118].end 400.22159375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 400.50846875
transcript.pyannote[119].end 400.66034375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 401.03159375
transcript.pyannote[120].end 403.71471875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 403.95096875
transcript.pyannote[121].end 409.94159375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 410.31284375
transcript.pyannote[122].end 412.81034375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 413.14784375
transcript.pyannote[123].end 417.21471875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 417.73784375
transcript.pyannote[124].end 418.04159375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 418.51409375
transcript.pyannote[125].end 420.89346875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 421.48409375
transcript.pyannote[126].end 429.71909375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 430.07346875
transcript.pyannote[127].end 432.68909375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 433.33034375
transcript.pyannote[128].end 436.94159375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 436.97534375
transcript.pyannote[129].end 437.51534375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 438.05534375
transcript.pyannote[130].end 444.33284375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 444.33284375
transcript.pyannote[131].end 444.45096875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 444.45096875
transcript.pyannote[132].end 444.50159375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 444.50159375
transcript.pyannote[133].end 444.55221875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 444.55221875
transcript.pyannote[134].end 444.60284375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 444.60284375
transcript.pyannote[135].end 444.67034375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 444.67034375
transcript.pyannote[136].end 444.70409375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 444.70409375
transcript.pyannote[137].end 444.92346875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 444.92346875
transcript.pyannote[138].end 444.97409375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 444.97409375
transcript.pyannote[139].end 449.46284375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 449.80034375
transcript.pyannote[140].end 453.22596875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 453.66471875
transcript.pyannote[141].end 459.01409375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 459.01409375
transcript.pyannote[142].end 463.90784375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 460.48221875
transcript.pyannote[143].end 461.15721875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 461.71409375
transcript.pyannote[144].end 464.97096875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 464.97096875
transcript.pyannote[145].end 467.95784375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 468.39659375
transcript.pyannote[146].end 475.65284375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 475.93971875
transcript.pyannote[147].end 479.73659375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 480.46221875
transcript.pyannote[148].end 484.20846875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 484.34346875
transcript.pyannote[149].end 486.11534375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 486.23346875
transcript.pyannote[150].end 488.95034375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 489.28784375
transcript.pyannote[151].end 492.20721875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 492.73034375
transcript.pyannote[152].end 496.74659375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 497.05034375
transcript.pyannote[153].end 498.73784375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 499.02471875
transcript.pyannote[154].end 501.65721875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 501.84284375
transcript.pyannote[155].end 502.33221875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 502.33221875
transcript.pyannote[156].end 510.17909375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 502.97346875
transcript.pyannote[157].end 503.59784375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 504.69471875
transcript.pyannote[158].end 504.89721875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 506.07846875
transcript.pyannote[159].end 507.27659375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 510.49971875
transcript.pyannote[160].end 510.97221875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 510.97221875
transcript.pyannote[161].end 510.98909375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 510.98909375
transcript.pyannote[162].end 511.02284375
transcript.whisperx[0].start 3.021
transcript.whisperx[0].end 8.925
transcript.whisperx[0].text 謝謝主席請陳部長跟鐵道局楊局長來陳部長楊局長請謝謝委員好部長好局長好今天因為鐵道只有這個鄭董事長來所以我先把一個小一個事情我先讓部長先讓部長跟
transcript.whisperx[1].start 31.499
transcript.whisperx[1].end 50.038
transcript.whisperx[1].text 那個史哲董事長也溝通了解一下我們只要遇到這種大型的節日或者是連假這個高鐵其實現在平日也塞啦所以我上一次有特別去跟史哲董事長去提到我們這個行李的置放因為車廂是舊的
transcript.whisperx[2].start 52.52
transcript.whisperx[2].end 74.157
transcript.whisperx[2].text 那這個車廂是舊的新的車廂在日本打造史澤董事長有特別跟我說明說對於行李放置區空間有增加空間的利用會強化會增加但是等到新的車載現在這個舊的不要講廉價平常特別是桃園有停的
transcript.whisperx[3].start 74.962
transcript.whisperx[3].end 92.817
transcript.whisperx[3].text 那個行李真的沒有地方放啊這個造成很大的困擾動線常常在那個該有的動線常常都被放置大型行李所以呢大未來新車廂那未來就你們現在已經想到了應該去做好規劃但現行的方法裡面你看喔這個
transcript.whisperx[4].start 96.265
transcript.whisperx[4].end 121.758
transcript.whisperx[4].text 這個新聞報導有光復解這個廉價你看這個車子八個人搭高鐵下不了車我想應該不止八個人搞不好還有那個不知道的下不了車 為什麼下不了車這個就是被行李廂擋住下不了車那自由座開放站票其他車廂開放站票這已經回復到台鐵的狀況
transcript.whisperx[5].start 123.582
transcript.whisperx[5].end 140.035
transcript.whisperx[5].text 以前這個年輕的時候搭台鐵只要快下車之前我都要先去卡那個車子的門因為我才下得了車我說廉價的時候要先擠到前面要先擠到前面不然你下不了車所以現在的高鐵如果品質不提升它就會變台鐵
transcript.whisperx[6].start 141.055
transcript.whisperx[6].end 156.966
transcript.whisperx[6].text 就大家還是為了要下車我要趕快提早就要擠到門口去不然我等一下下不了車嘛所以這個會造成其實服務的量能跟品質都會大家所詬病所以短期是不是應該有一些新的做法短期應該在新車廂沒有進來之前應該先去研議
transcript.whisperx[7].start 159.386
transcript.whisperx[7].end 181.112
transcript.whisperx[7].text 譬如說怎麼去因為不能隨便改造車廂但是在管理上可不可以著手譬如說小件的行李宣導放上面小件的行李因為小件行李都把它放在那個行李放置的區域大件行李就放大件行李又不能搬上去上面所以部長這個可不可以
transcript.whisperx[8].start 182.028
transcript.whisperx[8].end 205.312
transcript.whisperx[8].text 跟局長研議一下跟台鐵公司研議一下跟高鐵公司研議一下短期在舊新車廂還沒進來舊車廂怎麼處理對這個確實是大家現在覺得困擾的問題現在旅客越來越多行李也越來越多但是我們的車廂的量能大概就是這個樣子那所以辦法我們跟鐵道局也好跟高鐵公司也好我們會一起來研商看要怎麼協助
transcript.whisperx[9].start 206.232
transcript.whisperx[9].end 230.917
transcript.whisperx[9].text 對我要為這些在搭高鐵的這些民眾消費者講講話這個真的要想個辦法盡量沒有辦法100%解決但是展現我們要解決這個問題的態度跟做法是很重要的另外這個一個小事像這種我們都要去注意像這個監理站道安講席播放這個播放簡體制
transcript.whisperx[10].start 232.662
transcript.whisperx[10].end 254.599
transcript.whisperx[10].text 我是覺得這個其實是很不妥 沒關係 小事 小事坐下來簡體制常常會有 但是政府機關 民間大家就算了有時候書寫方便 有時候為了什麼其他問題但政府機關一定要特別去督促就是在政府的公文書 政府的相關的這些宣傳品上面不應該用簡體制
transcript.whisperx[11].start 256.618
transcript.whisperx[11].end 271.188
transcript.whisperx[11].text 反體制是中華民國才特有的我們這個國家在整體這種文字文化的上面這個部長對 這個我們會特別去了解特別注意一下常常會有啦 常常會有委員今天提到我們就有發現發現了就要趕快
transcript.whisperx[12].start 272.769
transcript.whisperx[12].end 300.4
transcript.whisperx[12].text 對 你看民眾就會很在意這個大家就直接上網就直接就把你寫出來了所以這個不只監理所不只監理站的道安講習而是應該在政府交通部下屬對 我們下屬的所有的廠站都要注意這點這是common sense這個應該要做好接下來這個鐵路警察不足這個鐵路警察不足高鐵公司我看起來他們的保全
transcript.whisperx[13].start 301.687
transcript.whisperx[13].end 306.532
transcript.whisperx[13].text 就大概拼了一百七十幾個保全嘛是 比較多 台鐵公司有沒有打算要這樣做
transcript.whisperx[14].start 308.044
transcript.whisperx[14].end 335.036
transcript.whisperx[14].text 台鐵公司目前正在盤點哪些車站需要保全那人力一定是朝增加的方向在走朝增加的方向因為他車站多那需要維護的也多那一方面我們會爭取內政部把鐵路警察的員額盡量再補多一點那二方面因為台鐵公司有很多是關鍵基礎設施我們會專案的來跟國土辦來申請專案的保全人那個警力進來協助那保全的人力也一定要再增加
transcript.whisperx[15].start 335.976
transcript.whisperx[15].end 349.828
transcript.whisperx[15].text 部長我想從你當助理從我開始當委員開始要增加警察人力我們已經講了20幾年都是困難對 都是困難太了解了所以與其你看我今天連警察人力我都不想問你了因為這個
transcript.whisperx[16].start 352.27
transcript.whisperx[16].end 370.375
transcript.whisperx[16].text 不只我們鐵路單位要政府各個單位都在含警力不足所以我們可以解決的方法像高鐵公司他就直接177個保全那台鐵公司應該可以考量這是一個方向我覺得這個比較快我們保全優先來盤點優先來盤點增加人力
transcript.whisperx[17].start 376.016
transcript.whisperx[17].end 397.064
transcript.whisperx[17].text 那最後一個問題就是海線鐵路雙軌的進度我想這個大概每一年交通部都要我辦公室來專案報告每一年我們也在爭取在討論那現在呢因為分兩個部分雙軌是中央可以直接處理所以本席過去一直主張不要再等地方政府了就是你要等台中市政府
transcript.whisperx[18].start 398.665
transcript.whisperx[18].end 417.083
transcript.whisperx[18].text 雙軌因為高價需要市政府依照分配比例需要市政府出錢那雙軌不用市政府出錢所以過去本席本來很希望雙軌高價一起來因為這個是最有效率對地方最好但是如果我們一直要等他的高價市政府一直不願意配合
transcript.whisperx[19].start 417.796
transcript.whisperx[19].end 425.225
transcript.whisperx[19].text 那不能再等 雙軌就只好先做所以交通部接受我的建議 雙軌呢總共經費是161.95億 中央全額負擔那現在在中規的二階環評照進度走
transcript.whisperx[20].start 433.393
transcript.whisperx[20].end 448.52
transcript.whisperx[20].text 那現本席也今年你們來報告說我也要求局長說持續跟市府溝通那現在呢高價的部分跟市府溝通有沒有新的進度高價化的部分交通部全力支持那市府的進度我是不是請局長
transcript.whisperx[21].start 450.141
transcript.whisperx[21].end 467.75
transcript.whisperx[21].text 因為市政府最新送進來的報告跟我們所謂經費分擔上面的這個議題還沒有達成完全的這樣的一個了解 還是不願意就對了不願意依照中央地方分配的比例來做我們還要再來做溝通跟協調好 你持續溝通啦但是我覺得效果很有限啦
transcript.whisperx[22].start 468.69
transcript.whisperx[22].end 492.028
transcript.whisperx[22].text 反正他就吃定你啦財政收支劃分已經割一塊去了大家也就割了嘛反正地方政府然後你該負擔的你又不願意出又要叫中央出這個就擺明不想做啦我的看法就是擺明不想做啦所以局長你一定要這個雙軌一定要照進度走啦就是照二階環評就照進度這樣走
transcript.whisperx[23].start 493.196
transcript.whisperx[23].end 508.83
transcript.whisperx[23].text 但是不能因為高階一直在等著他的所謂這個高架化就立體化而耽誤了我們雙軌化的這個進程了解可以嗎是好 這個很重要這個部長雙軌化不會拖延對 一直也在關心這個案子好 謝謝謝謝委員