iVOD / 159903

Field Value
IVOD_ID 159903
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159903
日期 2025-04-07
會議資料.會議代碼 委員會-11-3-15-8
會議資料.會議代碼:str 第11屆第3會期內政委員會第8次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 8
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第3會期內政委員會第8次全體委員會議
影片種類 Clip
開始時間 2025-04-07T11:44:43+08:00
結束時間 2025-04-07T11:53:48+08:00
影片長度 00:09:05
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/c41b1a0504d137e563d0ae5fcd2bea0f5410e0cc1efc9f3076318e8f2386bd98c9b4925af52c8bb35ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 李坤城
委員發言時間 11:44:43 - 11:53:48
會議時間 2025-04-07T09:00:00+08:00
會議名稱 (變更議程)立法院第11屆第3會期內政委員會第8次全體委員會議(事由:邀請內政部部長、交通部就「市區道路品質改善計畫執行效益與檢討」進行專題報告,並備質詢。 【本次議案係114年度內政部國土管理署及所屬「生活圈道路交通系統建設計畫(市區道路)」業務費預算解凍條件之檢討改善專案報告】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 6.73034375
transcript.pyannote[0].end 8.09721875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 8.36721875
transcript.pyannote[1].end 10.56096875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 10.72971875
transcript.pyannote[2].end 11.42159375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 16.97346875
transcript.pyannote[3].end 31.46909375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 31.68846875
transcript.pyannote[4].end 38.43846875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 39.40034375
transcript.pyannote[5].end 40.48034375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 40.71659375
transcript.pyannote[6].end 49.44096875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 49.72784375
transcript.pyannote[7].end 57.15284375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 57.27096875
transcript.pyannote[8].end 57.28784375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 57.28784375
transcript.pyannote[9].end 58.72221875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 57.91221875
transcript.pyannote[10].end 58.77284375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 58.77284375
transcript.pyannote[11].end 61.82721875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 58.84034375
transcript.pyannote[12].end 58.85721875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 61.82721875
transcript.pyannote[13].end 62.13096875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 62.35034375
transcript.pyannote[14].end 63.41346875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 63.19409375
transcript.pyannote[15].end 63.56534375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 63.44721875
transcript.pyannote[16].end 63.49784375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 63.51471875
transcript.pyannote[17].end 65.18534375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 65.65784375
transcript.pyannote[18].end 67.61534375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 65.74221875
transcript.pyannote[19].end 66.95721875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 71.53034375
transcript.pyannote[20].end 74.58471875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 75.15846875
transcript.pyannote[21].end 76.32284375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 76.89659375
transcript.pyannote[22].end 77.63909375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 77.82471875
transcript.pyannote[23].end 78.17909375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 79.20846875
transcript.pyannote[24].end 81.89159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 82.02659375
transcript.pyannote[25].end 82.31346875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 82.61721875
transcript.pyannote[26].end 91.02096875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 82.65096875
transcript.pyannote[27].end 83.30909375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 91.02096875
transcript.pyannote[28].end 91.03784375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 92.21909375
transcript.pyannote[29].end 99.01971875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 99.23909375
transcript.pyannote[30].end 101.12909375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 101.36534375
transcript.pyannote[31].end 103.40721875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 103.94721875
transcript.pyannote[32].end 105.80346875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 106.30971875
transcript.pyannote[33].end 106.44471875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 106.36034375
transcript.pyannote[34].end 106.42784375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 106.44471875
transcript.pyannote[35].end 106.71471875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 106.71471875
transcript.pyannote[36].end 106.96784375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 106.96784375
transcript.pyannote[37].end 107.03534375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 107.03534375
transcript.pyannote[38].end 107.94659375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 107.94659375
transcript.pyannote[39].end 112.40159375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 112.40159375
transcript.pyannote[40].end 120.94034375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 121.49721875
transcript.pyannote[41].end 139.11471875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 122.56034375
transcript.pyannote[42].end 124.38284375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 127.53846875
transcript.pyannote[43].end 127.84221875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 139.11471875
transcript.pyannote[44].end 139.19909375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 139.19909375
transcript.pyannote[45].end 145.57784375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 145.76346875
transcript.pyannote[46].end 152.81721875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 153.01971875
transcript.pyannote[47].end 154.13346875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 154.13346875
transcript.pyannote[48].end 154.16721875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 154.16721875
transcript.pyannote[49].end 154.55534375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 154.55534375
transcript.pyannote[50].end 156.15846875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 156.15846875
transcript.pyannote[51].end 156.17534375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 156.25971875
transcript.pyannote[52].end 168.62909375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 168.62909375
transcript.pyannote[53].end 168.64596875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 170.28284375
transcript.pyannote[54].end 170.48534375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 170.92409375
transcript.pyannote[55].end 176.39159375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 176.39159375
transcript.pyannote[56].end 176.40846875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 176.67846875
transcript.pyannote[57].end 177.03284375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 177.03284375
transcript.pyannote[58].end 205.24784375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 205.33221875
transcript.pyannote[59].end 210.83346875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 211.12034375
transcript.pyannote[60].end 216.52034375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 215.72721875
transcript.pyannote[61].end 223.59096875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 218.19096875
transcript.pyannote[62].end 218.57909375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 224.08034375
transcript.pyannote[63].end 227.64096875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 227.11784375
transcript.pyannote[64].end 242.22096875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 228.01221875
transcript.pyannote[65].end 229.12596875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 237.29346875
transcript.pyannote[66].end 237.58034375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 242.33909375
transcript.pyannote[67].end 246.20346875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 244.70159375
transcript.pyannote[68].end 244.71846875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 244.73534375
transcript.pyannote[69].end 244.78596875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 245.57909375
transcript.pyannote[70].end 248.83596875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 248.09346875
transcript.pyannote[71].end 266.23409375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 261.42471875
transcript.pyannote[72].end 261.99846875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 266.43659375
transcript.pyannote[73].end 269.84534375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 270.40221875
transcript.pyannote[74].end 274.68846875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 274.68846875
transcript.pyannote[75].end 274.72221875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 274.72221875
transcript.pyannote[76].end 274.82346875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 275.07659375
transcript.pyannote[77].end 285.13409375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 278.09721875
transcript.pyannote[78].end 278.41784375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 284.59409375
transcript.pyannote[79].end 292.55909375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 290.36534375
transcript.pyannote[80].end 291.14159375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 292.35659375
transcript.pyannote[81].end 298.00971875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 298.00971875
transcript.pyannote[82].end 303.59534375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 300.40596875
transcript.pyannote[83].end 301.03034375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 303.59534375
transcript.pyannote[84].end 303.96659375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 303.62909375
transcript.pyannote[85].end 303.93284375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 303.96659375
transcript.pyannote[86].end 303.98346875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 303.98346875
transcript.pyannote[87].end 304.01721875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 304.01721875
transcript.pyannote[88].end 304.03409375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 304.03409375
transcript.pyannote[89].end 306.14346875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 306.68346875
transcript.pyannote[90].end 333.24471875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 327.25409375
transcript.pyannote[91].end 327.52409375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 333.44721875
transcript.pyannote[92].end 333.66659375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 333.66659375
transcript.pyannote[93].end 358.10159375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 358.47284375
transcript.pyannote[94].end 359.45159375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 359.45159375
transcript.pyannote[95].end 359.46846875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 359.72159375
transcript.pyannote[96].end 359.73846875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 359.73846875
transcript.pyannote[97].end 360.00846875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 360.00846875
transcript.pyannote[98].end 360.07596875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 360.34596875
transcript.pyannote[99].end 360.41346875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 360.41346875
transcript.pyannote[100].end 360.97034375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 360.97034375
transcript.pyannote[101].end 391.12596875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 367.60221875
transcript.pyannote[102].end 370.33596875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 378.01409375
transcript.pyannote[103].end 378.14909375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 391.54784375
transcript.pyannote[104].end 396.86346875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 396.86346875
transcript.pyannote[105].end 397.21784375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 397.21784375
transcript.pyannote[106].end 398.16284375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 398.48346875
transcript.pyannote[107].end 419.29034375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 419.74596875
transcript.pyannote[108].end 421.31534375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 421.72034375
transcript.pyannote[109].end 431.99721875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 431.99721875
transcript.pyannote[110].end 436.36784375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 436.80659375
transcript.pyannote[111].end 455.47034375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 452.68596875
transcript.pyannote[112].end 454.45784375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 455.47034375
transcript.pyannote[113].end 455.75721875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 455.89221875
transcript.pyannote[114].end 456.75284375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 457.73159375
transcript.pyannote[115].end 463.97534375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 463.97534375
transcript.pyannote[116].end 485.27159375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 473.47596875
transcript.pyannote[117].end 474.97784375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 484.44471875
transcript.pyannote[118].end 485.96346875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 485.96346875
transcript.pyannote[119].end 486.03096875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 486.03096875
transcript.pyannote[120].end 498.13034375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 495.80159375
transcript.pyannote[121].end 496.25721875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 498.13034375
transcript.pyannote[122].end 523.03784375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 498.16409375
transcript.pyannote[123].end 498.19784375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 498.26534375
transcript.pyannote[124].end 500.57721875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 503.68221875
transcript.pyannote[125].end 504.67784375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 515.07284375
transcript.pyannote[126].end 516.25409375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 517.80659375
transcript.pyannote[127].end 518.04284375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 523.03784375
transcript.pyannote[128].end 523.05471875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 523.05471875
transcript.pyannote[129].end 523.07159375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 523.07159375
transcript.pyannote[130].end 523.45971875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 523.45971875
transcript.pyannote[131].end 523.88159375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 523.88159375
transcript.pyannote[132].end 525.09659375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 525.09659375
transcript.pyannote[133].end 529.61909375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 525.73784375
transcript.pyannote[134].end 526.12596875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 527.71221875
transcript.pyannote[135].end 528.42096875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 529.39971875
transcript.pyannote[136].end 534.04034375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 533.58471875
transcript.pyannote[137].end 540.90846875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 535.39034375
transcript.pyannote[138].end 535.71096875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 541.73534375
transcript.pyannote[139].end 545.43096875
transcript.whisperx[0].start 7.58
transcript.whisperx[0].end 10.445
transcript.whisperx[0].text 謝謝主席我們請這個國土署的吳署長吳署長有請
transcript.whisperx[1].start 19.494
transcript.whisperx[1].end 32.688
transcript.whisperx[1].text 本席有看到你們2月9號有發一個新聞稿就是說這個114年度呢包含這個提升人行安全跟生活圈道路計畫的這些預算有被刪減了7.55億凍結了43.8億這個數字是否正確
transcript.whisperx[2].start 39.594
transcript.whisperx[2].end 61.071
transcript.whisperx[2].text 對 最後是到目前為止通山是4.0這生活圈的部分是通山4.01億那這個業務費 業務費有被凍結那也被刪減跟凍結那這個部分是比較明確那永續的部分的話是影響是還好是業務費的部分那所以剛剛那個數字後來有變動嗎對後來有變動是就是說這個刪減的沒有到7.55億
transcript.whisperx[3].start 72.307
transcript.whisperx[3].end 98.233
transcript.whisperx[3].text 對 生活圈的部分是4.011然後凍結的部分呢凍結凍結是這個它的部分是業務費凍結的部分是業務費 對然後會影響到就是說我們不是有這一個提升人行安全的這個計畫這個會不會受到影響這個部分是也是主要是在業務費的部分所以在目前的話我們還是有這樣在審核
transcript.whisperx[4].start 99.224
transcript.whisperx[4].end 106.687
transcript.whisperx[4].text 凍結是凍結30% 業務費我記得內政部是凍結業務費是30%所以這個也含在裡面就對了但是我們現在就是永續的部分還是有持續在受理那就是說你們有一個113年到116年的4年的計畫那包含這個內政部是有140億
transcript.whisperx[5].start 122.007
transcript.whisperx[5].end 150.059
transcript.whisperx[5].text 內政部是260億 交通部有140億總共是400億的一個提升行人安全的這個計畫那除了這個計畫之外你們還有一個是所謂的街道醫生就是說這個全民參與街道改善的平台就是用民眾去投票的啦那民眾投票我看你們這個去年有這個7月有這個投票的結果然後有八件那八件你們是說這八件就是中央政府會全額補助就對了沒錯
transcript.whisperx[6].start 151.339
transcript.whisperx[6].end 168.445
transcript.whisperx[6].text 那這個預算會不會受到影響這目前來講沒有因為這是去年已經核定的案子那這個有包含在新北的話有這個包含這一個學府路淡水的學府路是在淡江大學的周邊它的票數是蠻高的所以你們是優先來做處理啦好
transcript.whisperx[7].start 171.29
transcript.whisperx[7].end 195.659
transcript.whisperx[7].text 目前來講新北市政府在淡水的部分它是一整區在提三重的部分它有提了三重 我現在就問你三重因為它這個民眾投票這還有包含這個 除了淡水之外在三重有一個文化北路文化北路它也有109票那我請問一下 因為你們這邊說如果說是在這個你們有8案是中央政府全額補助然後如果這個得票數在50票以上呢
transcript.whisperx[8].start 197.159
transcript.whisperx[8].end 223.234
transcript.whisperx[8].text 就喊請地方政府來評估這個案件的可行性那如果有需求可以進一步申請經費的補助那我請問一下齁在這個三重文化北路這一段它那個票選票數是很高啊109票那請問一下那這個新北市政府有這個提案來申請這個可行性的補助嗎是這樣這個提案的部分我們有通過那有請新北市政府提那新北市政府告訴我們現在在評估中因為它一直採取下來啦
transcript.whisperx[9].start 224.584
transcript.whisperx[9].end 242.035
transcript.whisperx[9].text 他就是一個算是一個晚上會有夜市啦對對對所以他可能新北市政府還在評估他到底是要做這個變成說部分時段的人行專用呢還是還是他是部分的人行專用這部分我知道他們還在評估當中
transcript.whisperx[10].start 242.455
transcript.whisperx[10].end 269.576
transcript.whisperx[10].text 所以那個還沒有送上去就對了對對對我沒有要他提案但是他還沒有來還沒有來申請因為這個上一次三重區有很多里長也跟我反映就是說他們記得印象中有這個投票那這個投票在文化北路這個票數也蠻高的那可是到目前為止好像沒有任何動靜所以目前就是新北市政府還沒有送上去對對他在評估就我們剛剛講他到底是要部分
transcript.whisperx[11].start 270.458
transcript.whisperx[11].end 273.95
transcript.whisperx[11].text 部分還是全部 他現在等還要再考慮這樣子喔嘿 好
transcript.whisperx[12].start 275.151
transcript.whisperx[12].end 304.238
transcript.whisperx[12].text 那就是那我也催一下新北市政府那如果既然中央有這個經費可以補助的話這個不要把這個經費浪費掉因為事實上如果按照民眾提案的票數來講應該算是意願很高因為表示造成的困擾也很大對我看這個跟這個淡江大學周遭的只差了大概四五十票而已對他跟英鑽路是同票數那表示其實瓶頸的狀況很嚴重好那我再請教你
transcript.whisperx[13].start 304.798
transcript.whisperx[13].end 333.002
transcript.whisperx[13].text 就是說這個侯友宇市長他3月24他有到三重區他有一個這個行動治理然後他有特別在提到說三重果菜市場他說他任內希望這個三重果菜市場能夠讓他通過但是我印象中啦印象中就是說國土部署有一直要求新北市政府第一個要做這一個公開的這一個展覽他們還沒有辦另外一個就是說就是說因為當時候他們來申請新北市政府來申請是原地改建
transcript.whisperx[14].start 333.722
transcript.whisperx[14].end 358.578
transcript.whisperx[14].text 那原地改建後來因為有一個所謂蘆洲的一個重劃區要迎合灣計畫所以他想要把它移過去那可是也沒有得到這個蘆洲地區居民的同意然後在三重地區的話因為當初我們變更的同意讓它變更成商業區的條件是說原地重建那所以說我想請問一下國土署目前對於這個三重國債市場目前的
transcript.whisperx[15].start 360.655
transcript.whisperx[15].end 385.275
transcript.whisperx[15].text 進度是到哪裡的報告一下就是之前因為也有跟新北市政府接受說明如果你們政策上確定要搬過來那我們就是會請他就已經請他你要把三重的案子重新修正因為他104年通過那當時是市場原地重建所以他必須要回饋的公用設施比例是很低的
transcript.whisperx[16].start 385.996
transcript.whisperx[16].end 410.34
transcript.whisperx[16].text 那但是你現在如果把它移過來你原地商業區的公共設施的比例現在就明顯偏就會明顯偏低你必須要重新修正你必須要再報一個修正案送過來給內政部小組委員會確認以後你要兩岸並同重新公展那讓市民都了解第一個確定這個案就要移到蘆洲第二個原地的
transcript.whisperx[17].start 410.96
transcript.whisperx[17].end 436.059
transcript.whisperx[17].text 改建的條件就變更那這樣不會造成兩邊的條件一直不穩定我部都委會要一直移來移去但是到目前為止我們只有收到公文說他希望那一個蘆洲案可以重公斬但是不符合我們另外一個要件是說三重那一個要重新提報一個案件上來的這樣一個要件他蘆洲公斬也還沒有辦還沒有還沒有然後在三重的話因為就像你講的那其實當初讓他能夠
transcript.whisperx[18].start 437.04
transcript.whisperx[18].end 454.156
transcript.whisperx[18].text 變成這一個變更成商業區其實是給它很大的一個條件然後其實因為它是市場會在那邊就像你講的這個公共的設施其實比例沒有這麼高它現在如果改成純商業區的話那個比例會不一樣啊對 要求的公設比例就要變高所以它現在都還沒有送過來是是對啊 所以
transcript.whisperx[19].start 457.779
transcript.whisperx[19].end 474.17
transcript.whisperx[19].text 那個侯社長他就說他希望他任內能夠把這一個案子把他通過那基本上新北市政府這兩個要先做處理啊沒錯一定要而且並同處理好我們才會統一來審議然後統一要求他兩個案一起從公宅所以這個是要並行一起來處理就對了對這樣兩邊的條件才會一致
transcript.whisperx[20].start 475.971
transcript.whisperx[20].end 492.186
transcript.whisperx[20].text 那總不能一個過了結果這一個條件還不確定那這樣的話到大會是絕對不予受理這樣的案子不會受理去審議的好最後再問一下這迎新未來城就是說原來這個壁華國中他遷走了那迎新未來城那後來這一個
transcript.whisperx[21].start 492.927
transcript.whisperx[21].end 518.419
transcript.whisperx[21].text 新北市政府他們有做一些比例上的調整那它供應性好像有把它增加了那現在這個最主要它的那個它的那個全領的這一個出租套房這個部分衛福部最後也有同意認定了所以這個部分他已經送過來我們有小組會再排審會再排審那這部分大致上比較沒有問題也就是大家部會的意見也都有共識的話我們來審查會比較比較明確
transcript.whisperx[22].start 520.8
transcript.whisperx[22].end 544.921
transcript.whisperx[22].text 那大概有沒有什麼一個期限說這部分這個審查大概可以通過了沒有我們會加速這個部分我們會加速來處理因為畢竟這個案子也放很多年了是啊那最近排審的這個都審應該是都審小組委員會那確切的時間我再跟委員再做報告好那再跟我說明一下好OK好謝謝署長謝謝好謝謝李坤城委員的諮詢下一位我們請徐信委員諮詢