iVOD / 167323

Field Value
IVOD_ID 167323
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167323
日期 2026-01-29
會議資料.會議代碼 委員會-11-4-23-15
會議資料.會議代碼:str 第11屆第4會期交通委員會第15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 15
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15次全體委員會議
影片種類 Clip
開始時間 2026-01-29T09:49:51+08:00
結束時間 2026-01-29T10:00:29+08:00
影片長度 00:10:38
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/58229044bac95a88013f5eb5c4000f366bf384bcbb560abaef4d1ce49928203b3eb26cf665c94cb75ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林國成
委員發言時間 09:49:51 - 10:00:29
會議時間 2026-01-29T09:00:00+08:00
會議名稱 立法院第11屆第4會期交通委員會第15次全體委員會議(事由:一、審查(一)行政院函請審議、(二)委員蔡其昌等19人、(三)委員賴惠員等23人、(四)委員李昆澤等18人、(五)委員洪孟楷等20人、(六)委員林倩綺等23人及(七)委員鄭天財Sra Kacaw等17人分別擬具「發展觀光條例部分條文修正草案」案、(八)委員牛煦庭等16人擬具「發展觀光條例第二條、第四十二條之一及第五十五條條文修正草案」案及(九)委員廖先翔等18人擬具「發展觀光條例增訂第六十六條之一條文草案」案。 二、邀請交通部部長就「115年度交通部及所屬單位預算未審竣對桃園鐵路地下化、花東地區鐵路雙軌電氣化、嘉義市區鐵路高架化、嘉義縣市鐵路高架化延伸、臺南市區鐵路地下化、觀光雙輪驅動方案等計畫及各單位業務各項交通建設推動之影響」進行專題報告,並備質詢。 【本次會議僅進行詢答;開會事由一第(一)案及第(六)案至第(九)案如經院會復議,則不予審查】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 3.03471875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 3.03471875
transcript.pyannote[1].end 3.81096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 3.92909375
transcript.pyannote[2].end 7.21971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 7.33784375
transcript.pyannote[3].end 9.29534375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 15.55596875
transcript.pyannote[4].end 18.55971875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 18.84659375
transcript.pyannote[5].end 22.33971875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 22.49159375
transcript.pyannote[6].end 27.84096875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 28.43159375
transcript.pyannote[7].end 29.03909375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 29.59596875
transcript.pyannote[8].end 30.08534375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 30.70971875
transcript.pyannote[9].end 31.70534375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 32.34659375
transcript.pyannote[10].end 35.72159375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 36.07596875
transcript.pyannote[11].end 37.67909375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 38.52284375
transcript.pyannote[12].end 39.24846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 39.61971875
transcript.pyannote[13].end 40.24409375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 40.56471875
transcript.pyannote[14].end 42.64034375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 43.19721875
transcript.pyannote[15].end 44.78346875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 45.22221875
transcript.pyannote[16].end 46.97721875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 47.38221875
transcript.pyannote[17].end 48.17534375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 48.51284375
transcript.pyannote[18].end 51.63471875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 52.19159375
transcript.pyannote[19].end 52.81596875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 53.62596875
transcript.pyannote[20].end 54.53721875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 55.29659375
transcript.pyannote[21].end 57.10221875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 57.77721875
transcript.pyannote[22].end 60.57846875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 61.32096875
transcript.pyannote[23].end 62.83971875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 63.86909375
transcript.pyannote[24].end 64.62846875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 64.81409375
transcript.pyannote[25].end 65.57346875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 66.07971875
transcript.pyannote[26].end 66.85596875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 67.22721875
transcript.pyannote[27].end 68.40846875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 69.13409375
transcript.pyannote[28].end 70.01159375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 71.04096875
transcript.pyannote[29].end 71.44596875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 71.93534375
transcript.pyannote[30].end 73.40346875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 73.82534375
transcript.pyannote[31].end 75.34409375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 75.56346875
transcript.pyannote[32].end 77.33534375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 77.80784375
transcript.pyannote[33].end 78.41534375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 79.19159375
transcript.pyannote[34].end 81.36846875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 82.49909375
transcript.pyannote[35].end 84.27096875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 84.67596875
transcript.pyannote[36].end 89.45159375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 89.56971875
transcript.pyannote[37].end 90.39659375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 90.93659375
transcript.pyannote[38].end 95.98221875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 96.37034375
transcript.pyannote[39].end 97.51784375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 97.80471875
transcript.pyannote[40].end 98.56409375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 98.93534375
transcript.pyannote[41].end 99.52596875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 100.11659375
transcript.pyannote[42].end 102.00659375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 102.24284375
transcript.pyannote[43].end 102.56346875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 103.18784375
transcript.pyannote[44].end 104.21721875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 104.75721875
transcript.pyannote[45].end 105.38159375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 106.19159375
transcript.pyannote[46].end 107.45721875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 108.09846875
transcript.pyannote[47].end 108.62159375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 109.26284375
transcript.pyannote[48].end 110.88284375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 111.60846875
transcript.pyannote[49].end 114.10596875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 114.44346875
transcript.pyannote[50].end 116.01284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 116.01284375
transcript.pyannote[51].end 116.02971875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 117.32909375
transcript.pyannote[52].end 164.41034375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 162.38534375
transcript.pyannote[53].end 162.92534375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 163.90409375
transcript.pyannote[54].end 167.31284375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 167.71784375
transcript.pyannote[55].end 174.23159375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 174.60284375
transcript.pyannote[56].end 175.80096875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 176.08784375
transcript.pyannote[57].end 180.18846875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 180.69471875
transcript.pyannote[58].end 189.43596875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 189.77346875
transcript.pyannote[59].end 196.70909375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 197.31659375
transcript.pyannote[60].end 198.10971875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 198.64971875
transcript.pyannote[61].end 199.59471875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 199.86471875
transcript.pyannote[62].end 205.24784375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 205.68659375
transcript.pyannote[63].end 206.34471875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 206.73284375
transcript.pyannote[64].end 207.44159375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 208.15034375
transcript.pyannote[65].end 208.58909375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 209.21346875
transcript.pyannote[66].end 209.80409375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 210.63096875
transcript.pyannote[67].end 213.73596875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 214.64721875
transcript.pyannote[68].end 214.83284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 215.20409375
transcript.pyannote[69].end 221.61659375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 217.12784375
transcript.pyannote[70].end 218.02221875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 218.73096875
transcript.pyannote[71].end 219.94596875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 221.31284375
transcript.pyannote[72].end 221.58284375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 221.61659375
transcript.pyannote[73].end 221.63346875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 221.63346875
transcript.pyannote[74].end 222.44346875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 221.86971875
transcript.pyannote[75].end 223.64159375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 223.64159375
transcript.pyannote[76].end 223.74284375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 224.06346875
transcript.pyannote[77].end 233.96909375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 231.58971875
transcript.pyannote[78].end 231.79221875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 232.80471875
transcript.pyannote[79].end 233.36159375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 233.96909375
transcript.pyannote[80].end 240.73596875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 240.93846875
transcript.pyannote[81].end 242.06909375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 242.35596875
transcript.pyannote[82].end 255.63659375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 256.12596875
transcript.pyannote[83].end 264.78284375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 258.30284375
transcript.pyannote[84].end 259.45034375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 259.65284375
transcript.pyannote[85].end 259.97346875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 265.74471875
transcript.pyannote[86].end 265.79534375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 266.06534375
transcript.pyannote[87].end 266.09909375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 266.09909375
transcript.pyannote[88].end 266.92596875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 266.92596875
transcript.pyannote[89].end 266.94284375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 267.39846875
transcript.pyannote[90].end 269.17034375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 269.30534375
transcript.pyannote[91].end 272.30909375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 272.98409375
transcript.pyannote[92].end 279.37971875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 281.57346875
transcript.pyannote[93].end 281.94471875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 282.43409375
transcript.pyannote[94].end 285.10034375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 285.75846875
transcript.pyannote[95].end 286.53471875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 287.95221875
transcript.pyannote[96].end 290.26409375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 290.65221875
transcript.pyannote[97].end 291.41159375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 291.86721875
transcript.pyannote[98].end 293.35221875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 293.53784375
transcript.pyannote[99].end 295.03971875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 295.25909375
transcript.pyannote[100].end 301.73909375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 301.87409375
transcript.pyannote[101].end 302.31284375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 302.39721875
transcript.pyannote[102].end 314.14221875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 314.27721875
transcript.pyannote[103].end 328.03034375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 318.22596875
transcript.pyannote[104].end 318.32721875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 328.41846875
transcript.pyannote[105].end 331.99596875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 332.14784375
transcript.pyannote[106].end 334.83096875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 335.57346875
transcript.pyannote[107].end 338.44221875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 338.94846875
transcript.pyannote[108].end 340.01159375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 340.43346875
transcript.pyannote[109].end 342.62721875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 343.18409375
transcript.pyannote[110].end 344.80409375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 345.24284375
transcript.pyannote[111].end 352.88721875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 353.54534375
transcript.pyannote[112].end 353.73096875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 354.59159375
transcript.pyannote[113].end 357.05534375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 357.62909375
transcript.pyannote[114].end 358.77659375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 359.16471875
transcript.pyannote[115].end 360.75096875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 361.10534375
transcript.pyannote[116].end 362.03346875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 362.89409375
transcript.pyannote[117].end 366.55596875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 367.31534375
transcript.pyannote[118].end 368.14221875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 368.56409375
transcript.pyannote[119].end 380.39346875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 380.62971875
transcript.pyannote[120].end 383.76846875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 384.17346875
transcript.pyannote[121].end 387.39659375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 387.48096875
transcript.pyannote[122].end 390.85596875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 391.86846875
transcript.pyannote[123].end 406.87034375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 394.24784375
transcript.pyannote[124].end 394.51784375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 407.76471875
transcript.pyannote[125].end 411.15659375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 411.40971875
transcript.pyannote[126].end 417.07971875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 417.07971875
transcript.pyannote[127].end 417.18096875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 417.40034375
transcript.pyannote[128].end 417.41721875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 417.41721875
transcript.pyannote[129].end 427.79534375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 418.83471875
transcript.pyannote[130].end 420.77534375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 427.87971875
transcript.pyannote[131].end 431.67659375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 432.11534375
transcript.pyannote[132].end 433.75221875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 434.32596875
transcript.pyannote[133].end 437.02596875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 437.24534375
transcript.pyannote[134].end 439.43909375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 439.67534375
transcript.pyannote[135].end 442.89846875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 444.02909375
transcript.pyannote[136].end 448.65284375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 449.12534375
transcript.pyannote[137].end 450.01971875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 450.71159375
transcript.pyannote[138].end 450.96471875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 451.31909375
transcript.pyannote[139].end 451.87596875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 452.48346875
transcript.pyannote[140].end 455.04846875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 455.45346875
transcript.pyannote[141].end 457.56284375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 458.00159375
transcript.pyannote[142].end 459.99284375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 460.88721875
transcript.pyannote[143].end 461.78159375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 462.25409375
transcript.pyannote[144].end 463.38471875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 463.80659375
transcript.pyannote[145].end 465.81471875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 466.38846875
transcript.pyannote[146].end 468.59909375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 468.70034375
transcript.pyannote[147].end 469.98284375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 470.82659375
transcript.pyannote[148].end 471.26534375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 472.05846875
transcript.pyannote[149].end 472.81784375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 473.56034375
transcript.pyannote[150].end 474.84284375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 474.97784375
transcript.pyannote[151].end 480.34409375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 480.52971875
transcript.pyannote[152].end 482.11596875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 482.38596875
transcript.pyannote[153].end 483.87096875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 484.41096875
transcript.pyannote[154].end 489.55784375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 490.16534375
transcript.pyannote[155].end 491.34659375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 492.03846875
transcript.pyannote[156].end 497.06721875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 497.62409375
transcript.pyannote[157].end 511.88346875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 512.60909375
transcript.pyannote[158].end 513.16596875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 513.38534375
transcript.pyannote[159].end 515.25846875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 515.79846875
transcript.pyannote[160].end 519.88221875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 516.16971875
transcript.pyannote[161].end 516.37221875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 520.74284375
transcript.pyannote[162].end 521.78909375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 522.31221875
transcript.pyannote[163].end 523.99971875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 524.25284375
transcript.pyannote[164].end 525.78846875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 526.19346875
transcript.pyannote[165].end 526.95284375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 527.39159375
transcript.pyannote[166].end 528.21846875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 528.97784375
transcript.pyannote[167].end 529.83846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 530.12534375
transcript.pyannote[168].end 531.76221875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 532.08284375
transcript.pyannote[169].end 532.89284375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 533.21346875
transcript.pyannote[170].end 534.54659375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 534.81659375
transcript.pyannote[171].end 537.12846875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 537.39846875
transcript.pyannote[172].end 546.19034375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 546.61221875
transcript.pyannote[173].end 548.40096875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 548.60346875
transcript.pyannote[174].end 548.99159375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 550.35846875
transcript.pyannote[175].end 562.93034375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 563.30159375
transcript.pyannote[176].end 563.92596875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 565.15784375
transcript.pyannote[177].end 568.38096875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 568.75221875
transcript.pyannote[178].end 569.42721875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 569.88284375
transcript.pyannote[179].end 570.38909375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 570.86159375
transcript.pyannote[180].end 571.68846875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 572.16096875
transcript.pyannote[181].end 572.63346875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 573.07221875
transcript.pyannote[182].end 574.69221875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 575.02971875
transcript.pyannote[183].end 575.75534375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 576.51471875
transcript.pyannote[184].end 595.44846875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 595.95471875
transcript.pyannote[185].end 611.42909375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 611.47971875
transcript.pyannote[186].end 613.48784375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 614.23034375
transcript.pyannote[187].end 625.18221875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 625.90784375
transcript.pyannote[188].end 630.97034375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 631.24034375
transcript.pyannote[189].end 635.30721875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 635.30721875
transcript.pyannote[190].end 635.57721875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 635.57721875
transcript.pyannote[191].end 637.48409375
transcript.whisperx[0].start 0.99
transcript.whisperx[0].end 7.595
transcript.whisperx[0].text 來 請我們交通部陳部長請陳部長那個鐵道局我們楊局長鐵道局楊正軍局長委員好好 部長 局長大家早啊大家都知道了你們辛苦一下因為我們今天啊確實對於軌道的政策啊也提出一個專案報告
transcript.whisperx[1].start 28.499
transcript.whisperx[1].end 56.694
transcript.whisperx[1].text 可是當然因為我也列之一二確實過去鐵道的預算是多的可是這幾年下來是下降的那當然在這裡報告我也不是針對這些指定專案報告的這整個鐵路但是比較敏感從這半個月以來
transcript.whisperx[2].start 58.09
transcript.whisperx[2].end 79.52
transcript.whisperx[2].text 為了高鐵宜蘭站也就是我們過去張景生前政委他提出非常之多的這些批判當然他個人有個人的看法他也算一個專家我們也要尊重他但是我個人覺得
transcript.whisperx[3].start 82.557
transcript.whisperx[3].end 110.623
transcript.whisperx[3].text 交通建設不能依照經濟效益而來斷定做跟不做但是沒有辦法現在風風雨雨不管是媒體不管是當地不管是團體都反對這件事情第一我要請教部長兩個問題第一個你對這件事情
transcript.whisperx[4].start 111.713
transcript.whisperx[4].end 139.438
transcript.whisperx[4].text 既然強烈這麼反對部長你有什麼看法報告委員強烈的反對我覺得這都是形容詞那多強烈我覺得要有科學的評估我們其實有做過民調剛剛洪孟愷委員在問的時候我有回答過我們在宜蘭縣議會幾乎看到大部分絕大多數的議員們都是支持的宜蘭的立法委員也是支持的
transcript.whisperx[5].start 139.958
transcript.whisperx[5].end 158.503
transcript.whisperx[5].text 宜蘭的縣政府也有表達過他們也是支持的這是第一點第二點我剛剛講說反對的感覺要有科學的數據所以我們有做過民調我們目前宜蘭的鄉親我們做民調支持宜蘭高鐵延伸到宜蘭的有79.5%是支持的那反對的數據可能蠻低的反對當然啦正反雙方都有
transcript.whisperx[6].start 167.785
transcript.whisperx[6].end 196.441
transcript.whisperx[6].text 可是據我了解宜蘭地區確實包括老百姓包括政府機關甚至於都把本來97公頃都把它擴大甚至於整個篆圍鄉他們都蠻希望化為交通用地這是事實因為我考察過地方民群我了解所以基本上現在已經箭在弦上
transcript.whisperx[7].start 199.163
transcript.whisperx[7].end 212.975
transcript.whisperx[7].text 請問現在張景深政委他說是不是請你們做公投你的看法部長做公投報告委員公投這件事不太可能由交通部來發動
transcript.whisperx[8].start 215.287
transcript.whisperx[8].end 241.548
transcript.whisperx[8].text 他們要做這些公投你同不同意我們已經有做過民調了對我們做過的是民調嘛他現在要發起公投要不要見公投是人民的權利我們都尊重你尊重我們都尊重但是你不覺得這個公投做下去對我們整個交通建設的會耽擱嗎你不不擔心嗎
transcript.whisperx[9].start 242.669
transcript.whisperx[9].end 264.137
transcript.whisperx[9].text 我們還是希望啦因為很多的民眾是期待交通建設要發展那我們還是期待說交通建設可以趕快來進行是所有民眾所期待的所以你對公投同不同意嗎或者你認為民調就可以顯現出來公投我沒有辦法同意或不同意我們會尊重會尊重 好
transcript.whisperx[10].start 266.175
transcript.whisperx[10].end 278.747
transcript.whisperx[10].text 那個 楊局長可以請回來我們陳署長來 觀光署陳署長來 我也要拜託我們那個觀光署啊幕僚單位也提供資料給署長
transcript.whisperx[11].start 282.498
transcript.whisperx[11].end 301.004
transcript.whisperx[11].text 來 我們今天最主要是觀光部長我一向不太贊同就是為了捍衛你們的做法而在那邊跟立委在那邊有所爭議這一點我是滿反對的
transcript.whisperx[12].start 302.489
transcript.whisperx[12].end 327.787
transcript.whisperx[12].text 立法委員是有意見下情上達然後轉印給決策單位來做觀光政策如何去補足這個不足的地方所以部長我還是建議這裡面當然數據你難怪我們立法院的同仁在質疑這些觀光我舉個例子
transcript.whisperx[13].start 328.507
transcript.whisperx[13].end 334.572
transcript.whisperx[13].text 你們現在美麗的數據完全不能反映到
transcript.whisperx[14].start 335.589
transcript.whisperx[14].end 339.671
transcript.whisperx[14].text 這個產業是七產的產喔產業的這種感覺我幾例專門辦國禮也得到我們觀光署所表揚的這些禮行業他都關門了耶 部長他都關門了報章雜誌在報導 禮行社
transcript.whisperx[15].start 364.253
transcript.whisperx[15].end 390.104
transcript.whisperx[15].text 辦國禮的已經有46家關門了那請問一下既然數據這麼好為什麼他要關門就是因為我們統計的數據雖然過去是這樣統計但是事實上是有所出入的有所出入所以我還是要建議部長啊因為我也知道你不能管得這麼細
transcript.whisperx[16].start 392.126
transcript.whisperx[16].end 406.068
transcript.whisperx[16].text 觀光署當然就要為以籌謀如何檢討改進去符合人民所需要業者所需要這些才有意義啦那剛才重點就是這樣嘛
transcript.whisperx[17].start 407.85
transcript.whisperx[17].end 427.381
transcript.whisperx[17].text 我說實在你不能灌水的政策達到美麗的數據這一點我是很懷疑報告委員數據一定不會灌水一定灌水啦報告委員數據一定不會灌水在國會殿堂我不要跟你去狡辯私底下我才告訴你們如何去灌水
transcript.whisperx[18].start 428.041
transcript.whisperx[18].end 449.702
transcript.whisperx[18].text 我相信這個數據不是部長不是署長但是底下的人說實在的不能這樣灌水有沒有灌水不要爭議但事實上我剛才已經講了業者可以馬上反映我幾例啊像我屏東我們恆春
transcript.whisperx[19].start 451.407
transcript.whisperx[19].end 459.265
transcript.whisperx[19].text 他們一年過去是四百萬五百萬現在一年不到兩百萬今年只有兩百零幾萬
transcript.whisperx[20].start 460.95
transcript.whisperx[20].end 489.33
transcript.whisperx[20].text 明年他們在擔心他們現在所有的賣場根本幾乎八成都關門大吉不定我相信你是管政策你不會管這麼細節的東西但是署長你要監督這些我還是要建議每一個縣市都有他的觀光產值跟觀光特色
transcript.whisperx[21].start 490.251
transcript.whisperx[21].end 511.744
transcript.whisperx[21].text 你們要針對一個縣市一個縣市把它的特色 像我們新北 九份它有貴的很好吃你們要不要去辦這些讓人家有一個景點式特色去做促銷這些你要去做啊可是到現在為止
transcript.whisperx[22].start 512.879
transcript.whisperx[22].end 524.695
transcript.whisperx[22].text 為止我只有看到美麗的數據從來沒有看到我們因應對策我要拜託你針對光光的問題不是數據啦而是實際
transcript.whisperx[23].start 529.045
transcript.whisperx[23].end 548.141
transcript.whisperx[23].text 不是數據你們的數據都很漂亮啊你們過去就是因為這是錯誤的數據才會導致現在觀光產業慘到不能慘的一個地步所以這個部分真的啊 部長我用心良苦啊
transcript.whisperx[24].start 550.421
transcript.whisperx[24].end 575.502
transcript.whisperx[24].text 特別建議你在政策方面好好檢討一下要針對產業發展不要只有美麗的數據而是美麗的業績這是最重要的一點所以啊我也要拜託我們一向我對於部長對於有新的做法我真的
transcript.whisperx[25].start 576.587
transcript.whisperx[25].end 594.373
transcript.whisperx[25].text 敬佩之宜我還要你用政策的力量支持觀光署把它真正不要美麗的數據啦要美麗的業績這才是真正替老百姓把觀光創業去把它做好所以部長這一點
transcript.whisperx[26].start 596.013
transcript.whisperx[26].end 623.552
transcript.whisperx[26].text 我提出這些讓你做參考我也希望你能夠在政策方面好好檢討一下不要說沒有灌水我只指責這些沒有意義可是我敢保證所有數據不是署長不是你但是底下給你的數據不完全正確在我們民意代表看到業者的慘淡跟他們的心聲不得不在國會讓我們
transcript.whisperx[27].start 625.993
transcript.whisperx[27].end 636.011
transcript.whisperx[27].text 交通部的陳部長能夠了解所以這一點我要建議部長針對這個事情下去做檢討跟改進好不好好謝謝謝謝委員