iVOD / 159904

Field Value
IVOD_ID 159904
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159904
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 2025-04-07T11:53:55+08:00
結束時間 2025-04-07T12:06:53+08:00
影片長度 00:12:58
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/c41b1a0504d137e51827cb04bc4a8d285410e0cc1efc9f3076318e8f2386bd98458456231790284f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 徐欣瑩
委員發言時間 11:53:55 - 12:06:53
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_02
transcript.pyannote[0].start 7.77659375
transcript.pyannote[0].end 10.71284375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 10.98284375
transcript.pyannote[1].end 11.74221875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 15.06659375
transcript.pyannote[2].end 15.25221875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 17.41221875
transcript.pyannote[3].end 18.07034375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 18.12096875
transcript.pyannote[4].end 19.03221875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 19.38659375
transcript.pyannote[5].end 20.95596875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 21.25971875
transcript.pyannote[6].end 23.36909375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 23.68971875
transcript.pyannote[7].end 27.14909375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 27.01409375
transcript.pyannote[8].end 27.94221875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 27.55409375
transcript.pyannote[9].end 28.36409375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 28.43159375
transcript.pyannote[10].end 31.16534375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 31.58721875
transcript.pyannote[11].end 38.25284375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 38.62409375
transcript.pyannote[12].end 49.00221875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 41.10471875
transcript.pyannote[13].end 41.47596875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 49.40721875
transcript.pyannote[14].end 59.02596875
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 56.71409375
transcript.pyannote[15].end 56.89971875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 59.02596875
transcript.pyannote[16].end 59.36346875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 59.65034375
transcript.pyannote[17].end 61.62471875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 59.73471875
transcript.pyannote[18].end 60.15659375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 61.67534375
transcript.pyannote[19].end 63.70034375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 64.24034375
transcript.pyannote[20].end 70.73721875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 71.83409375
transcript.pyannote[21].end 74.43284375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 74.70284375
transcript.pyannote[22].end 80.71034375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 80.89596875
transcript.pyannote[23].end 85.57034375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 82.95471875
transcript.pyannote[24].end 92.32034375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 86.26221875
transcript.pyannote[25].end 86.53221875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 92.69159375
transcript.pyannote[26].end 97.80471875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 97.99034375
transcript.pyannote[27].end 101.98971875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 101.23034375
transcript.pyannote[28].end 103.76159375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 103.20471875
transcript.pyannote[29].end 105.39846875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 105.65159375
transcript.pyannote[30].end 110.84909375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 108.09846875
transcript.pyannote[31].end 111.96284375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 112.26659375
transcript.pyannote[32].end 114.39284375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 114.25784375
transcript.pyannote[33].end 115.59096875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 115.59096875
transcript.pyannote[34].end 120.33284375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 117.29534375
transcript.pyannote[35].end 118.84784375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 120.67034375
transcript.pyannote[36].end 129.02346875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 126.81284375
transcript.pyannote[37].end 127.18409375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 129.37784375
transcript.pyannote[38].end 130.64346875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 129.79971875
transcript.pyannote[39].end 132.41534375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 133.27596875
transcript.pyannote[40].end 133.59659375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 134.05221875
transcript.pyannote[41].end 136.24596875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 135.99284375
transcript.pyannote[42].end 139.35096875
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 139.73909375
transcript.pyannote[43].end 151.70346875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 140.05971875
transcript.pyannote[44].end 141.44346875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 152.00721875
transcript.pyannote[45].end 153.67784375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 153.77909375
transcript.pyannote[46].end 155.36534375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 156.27659375
transcript.pyannote[47].end 157.00221875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 157.52534375
transcript.pyannote[48].end 158.57159375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 159.31409375
transcript.pyannote[49].end 162.26721875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 162.80721875
transcript.pyannote[50].end 167.76846875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 168.00471875
transcript.pyannote[51].end 172.57784375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 168.20721875
transcript.pyannote[52].end 168.51096875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 169.23659375
transcript.pyannote[53].end 173.82659375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 173.82659375
transcript.pyannote[54].end 178.92284375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 175.12596875
transcript.pyannote[55].end 175.71659375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 178.93971875
transcript.pyannote[56].end 180.01971875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 179.41221875
transcript.pyannote[57].end 181.40346875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 180.88034375
transcript.pyannote[58].end 196.55721875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 191.03909375
transcript.pyannote[59].end 191.61284375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 192.23721875
transcript.pyannote[60].end 192.50721875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 195.24096875
transcript.pyannote[61].end 197.60346875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 197.90721875
transcript.pyannote[62].end 202.63221875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 202.63221875
transcript.pyannote[63].end 208.77471875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 209.34846875
transcript.pyannote[64].end 212.99346875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 213.24659375
transcript.pyannote[65].end 214.71471875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 215.87909375
transcript.pyannote[66].end 224.08034375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 222.10596875
transcript.pyannote[67].end 233.61471875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 233.96909375
transcript.pyannote[68].end 247.60409375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 248.05971875
transcript.pyannote[69].end 251.02971875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 251.02971875
transcript.pyannote[70].end 251.87346875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 251.87346875
transcript.pyannote[71].end 251.92409375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 251.92409375
transcript.pyannote[72].end 252.05909375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 252.05909375
transcript.pyannote[73].end 252.27846875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 252.27846875
transcript.pyannote[74].end 270.97596875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 252.34596875
transcript.pyannote[75].end 253.17284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 266.95971875
transcript.pyannote[76].end 267.97221875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 270.97596875
transcript.pyannote[77].end 273.33846875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 273.87846875
transcript.pyannote[78].end 287.07471875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 278.77221875
transcript.pyannote[79].end 279.00846875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 287.42909375
transcript.pyannote[80].end 299.27534375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 299.96721875
transcript.pyannote[81].end 304.62471875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 304.87784375
transcript.pyannote[82].end 311.71221875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 312.33659375
transcript.pyannote[83].end 317.33159375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 318.88409375
transcript.pyannote[84].end 331.25346875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 331.81034375
transcript.pyannote[85].end 333.07596875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 334.00409375
transcript.pyannote[86].end 345.42846875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 345.61409375
transcript.pyannote[87].end 351.53721875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 352.19534375
transcript.pyannote[88].end 352.97159375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 353.66346875
transcript.pyannote[89].end 359.82284375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 360.29534375
transcript.pyannote[90].end 368.10846875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 368.19284375
transcript.pyannote[91].end 379.60034375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 379.93784375
transcript.pyannote[92].end 386.29971875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 386.45159375
transcript.pyannote[93].end 396.77909375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 397.57221875
transcript.pyannote[94].end 401.31846875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 402.61784375
transcript.pyannote[95].end 404.55846875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 403.61346875
transcript.pyannote[96].end 403.90034375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 404.96346875
transcript.pyannote[97].end 412.43909375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 412.84409375
transcript.pyannote[98].end 427.86284375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 416.92784375
transcript.pyannote[99].end 417.34971875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 418.31159375
transcript.pyannote[100].end 420.74159375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 428.38596875
transcript.pyannote[101].end 431.13659375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 430.09034375
transcript.pyannote[102].end 435.25409375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 433.27971875
transcript.pyannote[103].end 434.73096875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 435.96284375
transcript.pyannote[104].end 443.59034375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 442.32471875
transcript.pyannote[105].end 470.43846875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 445.10909375
transcript.pyannote[106].end 445.73346875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 445.83471875
transcript.pyannote[107].end 446.29034375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 463.84034375
transcript.pyannote[108].end 463.87409375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 471.19784375
transcript.pyannote[109].end 472.54784375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 472.96971875
transcript.pyannote[110].end 473.34096875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 474.13409375
transcript.pyannote[111].end 474.80909375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 474.85971875
transcript.pyannote[112].end 475.77096875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 476.68221875
transcript.pyannote[113].end 479.33159375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 479.70284375
transcript.pyannote[114].end 486.33471875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 485.20409375
transcript.pyannote[115].end 488.34284375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 487.44846875
transcript.pyannote[116].end 492.46034375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 489.50721875
transcript.pyannote[117].end 498.80534375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 492.79784375
transcript.pyannote[118].end 493.21971875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 498.87284375
transcript.pyannote[119].end 499.24409375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 500.05409375
transcript.pyannote[120].end 501.67409375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 502.48409375
transcript.pyannote[121].end 508.37346875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 508.77846875
transcript.pyannote[122].end 515.91659375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 516.28784375
transcript.pyannote[123].end 525.67034375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 526.21034375
transcript.pyannote[124].end 531.55971875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 532.92659375
transcript.pyannote[125].end 559.94346875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 561.51284375
transcript.pyannote[126].end 572.85284375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 565.07346875
transcript.pyannote[127].end 565.19159375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 565.22534375
transcript.pyannote[128].end 565.54596875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 568.19534375
transcript.pyannote[129].end 568.33034375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 568.51596875
transcript.pyannote[130].end 568.54971875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 568.54971875
transcript.pyannote[131].end 568.58346875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 571.26659375
transcript.pyannote[132].end 571.28346875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 571.31721875
transcript.pyannote[133].end 571.33409375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 571.50284375
transcript.pyannote[134].end 571.82346875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 573.03846875
transcript.pyannote[135].end 575.95784375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 575.99159375
transcript.pyannote[136].end 576.00846875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 576.16034375
transcript.pyannote[137].end 577.69596875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 578.15159375
transcript.pyannote[138].end 581.17221875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 581.37471875
transcript.pyannote[139].end 584.51346875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 584.56409375
transcript.pyannote[140].end 589.96409375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 588.09096875
transcript.pyannote[141].end 593.25471875
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 591.53346875
transcript.pyannote[142].end 596.37659375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 596.64659375
transcript.pyannote[143].end 597.74346875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 598.31721875
transcript.pyannote[144].end 599.41409375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 599.68409375
transcript.pyannote[145].end 604.52721875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 604.35846875
transcript.pyannote[146].end 608.08784375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 604.89846875
transcript.pyannote[147].end 606.41721875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 608.18909375
transcript.pyannote[148].end 609.82596875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 609.37034375
transcript.pyannote[149].end 611.19284375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 610.50096875
transcript.pyannote[150].end 614.48346875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 612.42471875
transcript.pyannote[151].end 615.36096875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 615.49596875
transcript.pyannote[152].end 617.40284375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 617.40284375
transcript.pyannote[153].end 620.57534375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 618.65159375
transcript.pyannote[154].end 619.96784375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 620.27159375
transcript.pyannote[155].end 620.33909375
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 621.50346875
transcript.pyannote[156].end 622.38096875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 622.61721875
transcript.pyannote[157].end 625.57034375
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 624.82784375
transcript.pyannote[158].end 625.84034375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 626.16096875
transcript.pyannote[159].end 628.77659375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 628.55721875
transcript.pyannote[160].end 630.90284375
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 630.36284375
transcript.pyannote[161].end 632.11784375
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 632.47221875
transcript.pyannote[162].end 640.09971875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 637.16346875
transcript.pyannote[163].end 637.53471875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 639.00284375
transcript.pyannote[164].end 640.13346875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 641.23034375
transcript.pyannote[165].end 645.02721875
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 644.48721875
transcript.pyannote[166].end 653.51534375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 654.19034375
transcript.pyannote[167].end 658.74659375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 657.75096875
transcript.pyannote[168].end 660.80534375
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 659.47221875
transcript.pyannote[169].end 662.77971875
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 663.52221875
transcript.pyannote[170].end 665.07471875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 665.96909375
transcript.pyannote[171].end 667.82534375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 668.07846875
transcript.pyannote[172].end 670.35659375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 669.63096875
transcript.pyannote[173].end 673.44471875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 672.68534375
transcript.pyannote[174].end 681.20721875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 679.62096875
transcript.pyannote[175].end 685.89846875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 686.23596875
transcript.pyannote[176].end 691.48409375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 692.41221875
transcript.pyannote[177].end 698.92596875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 699.26346875
transcript.pyannote[178].end 703.60034375
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 703.81971875
transcript.pyannote[179].end 710.77221875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 710.13096875
transcript.pyannote[180].end 713.48909375
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 712.27409375
transcript.pyannote[181].end 715.80096875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 716.03721875
transcript.pyannote[182].end 722.90534375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 724.50846875
transcript.pyannote[183].end 728.25471875
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 729.55409375
transcript.pyannote[184].end 736.55721875
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 736.65846875
transcript.pyannote[185].end 738.37971875
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 738.54846875
transcript.pyannote[186].end 742.80096875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 742.85159375
transcript.pyannote[187].end 743.50971875
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 743.94846875
transcript.pyannote[188].end 745.85534375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 746.37846875
transcript.pyannote[189].end 746.93534375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 747.17159375
transcript.pyannote[190].end 749.26409375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 749.09534375
transcript.pyannote[191].end 749.95596875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 750.46221875
transcript.pyannote[192].end 755.30534375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 755.76096875
transcript.pyannote[193].end 759.03471875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 759.54096875
transcript.pyannote[194].end 760.35096875
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 760.67159375
transcript.pyannote[195].end 762.56159375
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 763.03409375
transcript.pyannote[196].end 768.09659375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 764.80596875
transcript.pyannote[197].end 765.49784375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 768.13034375
transcript.pyannote[198].end 768.50159375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 768.58596875
transcript.pyannote[199].end 772.63596875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 768.99096875
transcript.pyannote[200].end 769.69971875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 771.89346875
transcript.pyannote[201].end 771.91034375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 772.04534375
transcript.pyannote[202].end 772.50096875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 772.63596875
transcript.pyannote[203].end 772.68659375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 773.29409375
transcript.pyannote[204].end 778.27221875
transcript.whisperx[0].start 8.668
transcript.whisperx[0].end 10.43
transcript.whisperx[0].text 謝謝主席本席請吳署長吳署長有請
transcript.whisperx[1].start 17.635
transcript.whisperx[1].end 39.617
transcript.whisperx[1].text 委員好 署長好 署長請教一下今天內政部的報告是不是貴署所寫的 執筆的是不是國土署是 是嘛 好 那本席想請教我們在背景說明的時候特別提到生活圈道路交通系統建設計畫是辦理道路的新闢貨拓寬
transcript.whisperx[2].start 41.658
transcript.whisperx[2].end 70.021
transcript.whisperx[2].text 針對目前各直轄市縣市政府既有道路功能不彰危險或交通瓶頸來進行系統整合那我們想了解就是說你們現在跟地方的是不是都是地方提案然後你們審查然後撥經費嘛那現在如果地方這個有些路段民眾長期的反應而且一直沒改善那所以你們在
transcript.whisperx[3].start 72.472
transcript.whisperx[3].end 97.332
transcript.whisperx[3].text 這個審核的時候你們是用什麼樣的機制說明一下就是說生活圈他送來的時候其實我們看的不會只有看那一條路我們其實也是看周圍的環境他改善的效益我把我題目講的更明確一點你們錢一直撥每年這樣預算全國這樣下去但是有些地方他的路段長期一直沒有改善這種情形怎麼辦
transcript.whisperx[4].start 99.316
transcript.whisperx[4].end 110.707
transcript.whisperx[4].text 應該這麼說看它是哪一類它是什麼道路它有的是屬於非都市土地那可能就是我們跟交通部有分別第二個是說 直接講新竹產業園區內
transcript.whisperx[5].start 115.752
transcript.whisperx[5].end 131.807
transcript.whisperx[5].text 其實就以前的新豐湖口工業區它現在叫新竹產業園區那這裡面我想你應該很熟啊工業三路、勝利二路還有榮光路那一段那邊長期反應都沒有改善工業區的部分是屬於在經濟部
transcript.whisperx[6].start 134.25
transcript.whisperx[6].end 161.906
transcript.whisperx[6].text 工業區內工業區內是經濟部所以縣市政府不能提要提到經濟部他經濟部他之前也有他前幾年我印象他有做但是他不是全部都在做他有時候也會跟我們協商有一些在拜託我們或交通部做那有一部分他自己做可是可是這一個如果他是縣道呢縣道縣府不能提案給你們不能改善嗎
transcript.whisperx[7].start 163.43
transcript.whisperx[7].end 167.407
transcript.whisperx[7].text 說明一下如果工業區範圍內還是屬於它才屬於經濟部的部分
transcript.whisperx[8].start 168.389
transcript.whisperx[8].end 192.489
transcript.whisperx[8].text 工業區的外面的話如果在獨基內就是屬於我們屬於你們的嘛那榮光路是它主五線嘛主五線是我們縣道嘛是是是對所以這一塊那如果是提升道路品質的部分那就是在前瞻裡面就是它路況是做更新而已而不是有拓寬生活圈是主要你可能有拓寬有有有它需要拓寬
transcript.whisperx[9].start 194.248
transcript.whisperx[9].end 214.527
transcript.whisperx[9].text 地方要求拓寬多年民怨沸騰所以我現在想知道你們審核的機制到底是怎麼樣說明一下那這個部分我想我們再來跟縣府或跟公所了解看為什麼他們過去從來沒有提案因為有可能他覺得那個徵收費用可能太驚人或怎麼樣他有時候也不太敢提案
transcript.whisperx[10].start 216.259
transcript.whisperx[10].end 233.308
transcript.whisperx[10].text 是因為這樣有可能因為有時候地方政府尤其到鄉鎮公所那個層級他會很在意講到這個我可能要請部長部長您也來一下因為我看到我們這個有所謂的道安總動員平台那個好像是交通部管的對不對
transcript.whisperx[11].start 234.811
transcript.whisperx[11].end 246.877
transcript.whisperx[11].text 你看它就是道安道路安全道安應該是道路交通安全道安總動員平台國土署這邊也負責一些市區道路
transcript.whisperx[12].start 248.383
transcript.whisperx[12].end 272.994
transcript.whisperx[12].text 那這個怎麼整合所以我請部長來主要就針對因為這可能有跨部會的問題如果你現在講的就是產業園區外面的道路的話那我會建議說委員可不可以就是說我們國土署跟交通部或者是跟經濟部共同去看一下大家把它查清楚就是全署的單位是誰然後來決定然後再跟地方政府來做溝通道安總動員平台它這是一個平台
transcript.whisperx[13].start 273.954
transcript.whisperx[13].end 298.517
transcript.whisperx[13].text 去年6月24號才上線我們的行政院長都還有開記者會那他一直在定期公佈各縣市交通事故以及開放民眾通報路口改善建議那像這個既然他的利益是如此可是這個好像沒有真正發揮功效因為民眾反應也不一定有效再來就是我們發現
transcript.whisperx[14].start 301.132
transcript.whisperx[14].end 316.44
transcript.whisperx[14].text 這個系統這可能交通部要上來因為這整合的他這個網站統計到今天我們上去看他還只統計到2月25號所以部長不好意思我請您還有交通部今天是
transcript.whisperx[15].start 319.259
transcript.whisperx[15].end 327.851
transcript.whisperx[15].text 副局長副局長副局長來對那像這一個網站上今天已經4月份了結果4月7號了結果我們現在統計只到2月25號這一個系統
transcript.whisperx[16].start 334.059
transcript.whisperx[16].end 351.591
transcript.whisperx[16].text 在放假期間網頁斷線你們這個系統不穩有一個說我要通報路口改善結果完全無從反應所以我也要同步表達就是說這個系統好像完全沒辦法work
transcript.whisperx[17].start 354.403
transcript.whisperx[17].end 379.085
transcript.whisperx[17].text 那個副局長一副這個完全不知情然後這個上面本席也要建議這個應該是應該可以隨時及時更新可是他其實整個直到2月25去年6月我在這邊要凸顯第一個跨部會因為民眾的很多事情他不是單一的單位像今天這個可能內政部跟交通部都有關
transcript.whisperx[18].start 380.026
transcript.whisperx[18].end 401.185
transcript.whisperx[18].text 那我们的中央政府真的少一点政治斗争多一点为民服务啊那这个去年六月才开记者会的到现在根本不work而且完全的也都好像摊在那里不到一年然后统计整个就好像摆烂在那里
transcript.whisperx[19].start 403.243
transcript.whisperx[19].end 411.963
transcript.whisperx[19].text 報告委員 您簡單回覆這個系統其實隨時在更新 尤其是填報的像回報的 民眾一來 他直接是上網填報的
transcript.whisperx[20].start 412.861
transcript.whisperx[20].end 434.342
transcript.whisperx[20].text 它上面就寫統計至2月25號啊你真的要我秀出來對啊統計至2月25號啊然後親民廉價你們應該知道那個民眾很多要反映的我們當然也是在準備質詢稿我們發現完全上機啊你們也沒人知道啊這個部分我們回去再查一下啦但是那個更新的部分是像
transcript.whisperx[21].start 436.038
transcript.whisperx[21].end 464.947
transcript.whisperx[21].text 地方政府做這個路口做完了地方政府馬上會上這個網填報完成那他是隨時再更新你不要說一套做一套你去了解實際情況OK那部長你也請那個請回座請回座我最後請署長署長那個我們今天講這個道路品質嘛那其實現在你應該知道市區道路的話其實人行道跟自行車道的需求越來越大我相信您了解嘛
transcript.whisperx[22].start 465.427
transcript.whisperx[22].end 478.835
transcript.whisperx[22].text 所以有關人行道跟自行車道的話事好像中央沒有什麼這個相關的一些措施報告我們在去年已經有公布那個
transcript.whisperx[23].start 479.833
transcript.whisperx[23].end 499.131
transcript.whisperx[23].text 市區人行人行設施的這個這個相關的這樣一個規範都有了自行車道的建置有統一的標準人行道的部分有自行車道在交通部因為我們發現我們3月份3月份新竹縣整個道安事故是您知道嗎這個竟然
transcript.whisperx[24].start 502.577
transcript.whisperx[24].end 531.324
transcript.whisperx[24].text 去這個三月份今年三月份的統計去年在騎自行車死亡的人數竟然是成長率百分之百那所以這個部分就是說人行道跟自行車道的部分這一塊你們怎麼樣來改善因為我們常聽到民眾跟我們反應就是說我走在人行道上我很容易可能會被自行車撞到
transcript.whisperx[25].start 533.304
transcript.whisperx[25].end 559.489
transcript.whisperx[25].text 因為自行車道的劃設很多地方不足然後現在UBIKE全國都一直在進行我們新竹縣也在這幾年非常蓬勃的發展所以是不是你自行車等於說騎自行車死亡跟受傷的人數逐年這幾年是不是因為我們整個中央的法規還有我們的這個實施一直沒有跟上民眾生活的腳步
transcript.whisperx[26].start 562.528
transcript.whisperx[26].end 584.109
transcript.whisperx[26].text 因為過去在人行道的設計上跟自行車到底是共用還是分隔其實交通部都有頒布相關的規定那當然我想在很多老的城市尤其像新竹市區本身道路就比較小那能夠擠出人行道大概就很不容易那如果要在人行道裡面再去做分隔
transcript.whisperx[27].start 584.81
transcript.whisperx[27].end 605.288
transcript.whisperx[27].text 可能會更難所以我在猜這塊國土署有相關經費嗎沒有 我說明一下因為它是在你的標誌標線上要去做共用或區隔所以這個是在這為什麼是交通部因為在所有的這個道安規則裡面都是在交通部交通部它是執行單位
transcript.whisperx[28].start 608.191
transcript.whisperx[28].end 609.572
transcript.whisperx[28].text 還有法規那是經費你們這邊有嗎改善的部分是我們有所以你們改善他們也有嗎
transcript.whisperx[29].start 621.57
transcript.whisperx[29].end 639.842
transcript.whisperx[29].text 有他們也有所以這樣好像你很難控管嘛都市計劃區內的話大概是我們我現在都講都市計劃區內啊對對所以我說明一下就是說人行道做好了他到底是要用共用還是分隔就是市政府要決定因為標準都有
transcript.whisperx[30].start 641.294
transcript.whisperx[30].end 667.604
transcript.whisperx[30].text 由市政府決定沒有一個通用的法規或什麼就是它交通部有頒訂的規則是共用跟分隔都可以就是你地方政府依照實際情形去決定是要共用還是分隔那所以可能是新竹市政府還沒有去做好這樣的一個規定沒有啦我是管新竹縣啦新竹縣的部分也沒有去可能還沒有去做好這一塊的這個分隔的標準新竹縣也很多地方沒有啊
transcript.whisperx[31].start 668.701
transcript.whisperx[31].end 691.483
transcript.whisperx[31].text 所以第一個建人行道您的意思是說這是縣市政府的責任應該這麼說人行道的部分經費我們來協助但是做好了你到底是跟自行車道要分隔我從頭到尾問的時候你們在審核經費你們在給地方當然地方都很希望你們給但是民眾跟我們都希望你們給下去我們是看得到成果的
transcript.whisperx[32].start 692.495
transcript.whisperx[32].end 715.46
transcript.whisperx[32].text 我們當然也不會覺得說你給我那個不好但是你在審核的時候你怎麼樣把經費能夠包括它的執行對執行成效你們有在管嗎有這根本報告我們大概每年就足跡都會做一些檢討足跡都會做一些檢討檢討前一年的前一年對那尤其大概做好以後會跟前一年的
transcript.whisperx[33].start 716.703
transcript.whisperx[33].end 727.948
transcript.whisperx[33].text 就做好執行一年以後會跟之前沒有做完之前的交通事故去做一個比較所以你不會針對他他做了有沒有符合需求
transcript.whisperx[34].start 729.688
transcript.whisperx[34].end 748.981
transcript.whisperx[34].text 福爾曲球的部分當然就是因為你地方政府提出這一些但是剩下就是有一些就變成民眾再來反映的時候那我們當然也會去做檢討這也是我們為什麼會有推一個街道醫生的那樣的一個計畫就讓民眾來提出他們的一些看法街道醫生是國土署提的嗎對對對
transcript.whisperx[35].start 750.906
transcript.whisperx[35].end 778.054
transcript.whisperx[35].text 也就讓他們提出來有哪一些看法那我們會針對那樣的路口去提出來看看要怎麼去改善或是路段要怎麼去改善那這也就是有時候我們會接受民眾投票我們每年都有讓民眾來投票那還有做醫生 接到醫生的一個檢視是做這樣來協助大家看怎麼樣改善好 謝謝好 謝謝徐信英委員的質詢報告委員會我們中午不休息下一位我們請徐副委員