iVOD / 161084

Field Value
IVOD_ID 161084
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161084
日期 2025-05-08
會議資料.會議代碼 委員會-11-3-15-18
會議資料.會議代碼:str 第11屆第3會期內政委員會第18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 18
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18次全體委員會議
影片種類 Clip
開始時間 2025-05-08T10:47:45+08:00
結束時間 2025-05-08T10:56:27+08:00
影片長度 00:08:42
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/26c557d936b203c16ebeb7415857c3d2cf7df95ebd13a46f97e39277836b040f5a549a2cf34375e35ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 徐欣瑩
委員發言時間 10:47:45 - 10:56:27
會議時間 2025-05-08T09:00:00+08:00
會議名稱 立法院第11屆第3會期內政委員會第18次全體委員會議(事由:一、邀請內政部部長、國家住宅及都市更新中心董事長就「都市更新與危老重建之執行成效及未來展望」進行專題報告,並備質詢。二、審查委員牛煦庭等17人擬具「都市更新條例增訂第四十四條之一條文草案」案。三、審查委員賴惠員等23人擬具「都市危險及老舊建築物加速重建條例第三條及第十一條條文修正草案」案。【第一案至第三案綜合詢答並處理法律提案。】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.04784375
transcript.pyannote[0].end 0.25034375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 3.99659375
transcript.pyannote[1].end 6.59534375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 6.62909375
transcript.pyannote[2].end 7.45596875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 8.18159375
transcript.pyannote[3].end 8.82284375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 12.01221875
transcript.pyannote[4].end 12.18096875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 13.04159375
transcript.pyannote[5].end 14.57721875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 14.79659375
transcript.pyannote[6].end 26.89596875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 27.70596875
transcript.pyannote[7].end 43.80471875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 43.93971875
transcript.pyannote[8].end 44.09159375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 44.09159375
transcript.pyannote[9].end 44.17596875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 44.17596875
transcript.pyannote[10].end 44.68221875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 44.68221875
transcript.pyannote[11].end 58.08096875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 53.52471875
transcript.pyannote[12].end 54.13221875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 57.18659375
transcript.pyannote[13].end 60.98346875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 59.26221875
transcript.pyannote[14].end 73.65659375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 63.12659375
transcript.pyannote[15].end 63.53159375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 66.23159375
transcript.pyannote[16].end 66.87284375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 73.75784375
transcript.pyannote[17].end 78.22971875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 73.82534375
transcript.pyannote[18].end 74.39909375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 78.22971875
transcript.pyannote[19].end 84.27096875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 84.20346875
transcript.pyannote[20].end 84.30471875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 84.30471875
transcript.pyannote[21].end 87.46034375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 85.03034375
transcript.pyannote[22].end 89.94096875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 90.48096875
transcript.pyannote[23].end 94.69971875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 94.41284375
transcript.pyannote[24].end 98.05784375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 97.01159375
transcript.pyannote[25].end 104.77409375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 102.29346875
transcript.pyannote[26].end 106.30971875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 105.09471875
transcript.pyannote[27].end 107.54159375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 106.51221875
transcript.pyannote[28].end 110.32596875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 107.87909375
transcript.pyannote[29].end 108.26721875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 110.34284375
transcript.pyannote[30].end 110.35971875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 110.37659375
transcript.pyannote[31].end 120.45096875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 119.13471875
transcript.pyannote[32].end 128.21346875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 125.73284375
transcript.pyannote[33].end 126.20534375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 126.64409375
transcript.pyannote[34].end 135.08159375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 133.24221875
transcript.pyannote[35].end 138.59159375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 137.30909375
transcript.pyannote[36].end 144.81846875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 144.59909375
transcript.pyannote[37].end 147.58596875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 147.26534375
transcript.pyannote[38].end 150.33659375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 148.17659375
transcript.pyannote[39].end 149.45909375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 150.16784375
transcript.pyannote[40].end 155.39909375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 155.70284375
transcript.pyannote[41].end 158.50409375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 158.70659375
transcript.pyannote[42].end 160.39409375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 161.05221875
transcript.pyannote[43].end 164.69721875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 164.96721875
transcript.pyannote[44].end 171.05909375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 171.26159375
transcript.pyannote[45].end 173.16846875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 173.69159375
transcript.pyannote[46].end 176.23971875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 176.59409375
transcript.pyannote[47].end 178.77096875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 179.04096875
transcript.pyannote[48].end 182.61846875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 179.46284375
transcript.pyannote[49].end 179.51346875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 182.66909375
transcript.pyannote[50].end 185.95971875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 186.07784375
transcript.pyannote[51].end 191.34284375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 186.19596875
transcript.pyannote[52].end 186.61784375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 191.10659375
transcript.pyannote[53].end 199.00409375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 197.94096875
transcript.pyannote[54].end 200.75909375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 199.86471875
transcript.pyannote[55].end 201.06284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 200.99534375
transcript.pyannote[56].end 208.09971875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 201.07971875
transcript.pyannote[57].end 201.09659375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 208.52159375
transcript.pyannote[58].end 210.05721875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 210.36096875
transcript.pyannote[59].end 212.04846875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 212.06534375
transcript.pyannote[60].end 214.37721875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 214.76534375
transcript.pyannote[61].end 215.47409375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 215.64284375
transcript.pyannote[62].end 222.08909375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 222.20721875
transcript.pyannote[63].end 225.90284375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 226.32471875
transcript.pyannote[64].end 228.31596875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 228.73784375
transcript.pyannote[65].end 235.99409375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 234.15471875
transcript.pyannote[66].end 238.06971875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 238.15409375
transcript.pyannote[67].end 255.67034375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 255.67034375
transcript.pyannote[68].end 267.31409375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 267.58409375
transcript.pyannote[69].end 268.42784375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 268.59659375
transcript.pyannote[70].end 271.53284375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 269.32221875
transcript.pyannote[71].end 274.18221875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 273.79409375
transcript.pyannote[72].end 276.13971875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 275.75159375
transcript.pyannote[73].end 279.98721875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 276.46034375
transcript.pyannote[74].end 276.91596875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 279.76784375
transcript.pyannote[75].end 285.97784375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 286.45034375
transcript.pyannote[76].end 290.90534375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 291.20909375
transcript.pyannote[77].end 294.65159375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 295.32659375
transcript.pyannote[78].end 297.13221875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 295.90034375
transcript.pyannote[79].end 298.92096875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 298.29659375
transcript.pyannote[80].end 302.76846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 302.54909375
transcript.pyannote[81].end 314.20971875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 307.10534375
transcript.pyannote[82].end 307.22346875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 313.75409375
transcript.pyannote[83].end 314.07471875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 314.32784375
transcript.pyannote[84].end 317.29784375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 317.66909375
transcript.pyannote[85].end 319.22159375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 320.79096875
transcript.pyannote[86].end 323.00159375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 321.11159375
transcript.pyannote[87].end 324.43596875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 324.99284375
transcript.pyannote[88].end 325.98846875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 326.51159375
transcript.pyannote[89].end 328.26659375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 327.08534375
transcript.pyannote[90].end 329.17784375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 329.00909375
transcript.pyannote[91].end 331.86096875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 332.28284375
transcript.pyannote[92].end 332.60346875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 332.95784375
transcript.pyannote[93].end 335.37096875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 336.09659375
transcript.pyannote[94].end 340.63596875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 340.90596875
transcript.pyannote[95].end 356.31284375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 356.56596875
transcript.pyannote[96].end 363.61971875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 364.12596875
transcript.pyannote[97].end 387.64971875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 376.68096875
transcript.pyannote[98].end 377.57534375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 382.30034375
transcript.pyannote[99].end 382.82346875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 387.93659375
transcript.pyannote[100].end 389.64096875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 389.86034375
transcript.pyannote[101].end 391.48034375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 391.75034375
transcript.pyannote[102].end 400.06971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 399.34409375
transcript.pyannote[103].end 403.05659375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 401.23409375
transcript.pyannote[104].end 409.68846875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 410.07659375
transcript.pyannote[105].end 411.42659375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 411.78096875
transcript.pyannote[106].end 413.41784375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 413.70471875
transcript.pyannote[107].end 419.00346875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 415.78034375
transcript.pyannote[108].end 416.42159375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 418.15971875
transcript.pyannote[109].end 418.91909375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 419.25659375
transcript.pyannote[110].end 420.18471875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 420.37034375
transcript.pyannote[111].end 429.21284375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 423.62721875
transcript.pyannote[112].end 426.36096875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 429.49971875
transcript.pyannote[113].end 448.55159375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 447.37034375
transcript.pyannote[114].end 450.72846875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 449.36159375
transcript.pyannote[115].end 454.59284375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 453.90096875
transcript.pyannote[116].end 467.83971875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 455.90909375
transcript.pyannote[117].end 456.36471875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 460.63409375
transcript.pyannote[118].end 460.65096875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 468.16034375
transcript.pyannote[119].end 492.03846875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 492.64596875
transcript.pyannote[120].end 503.20971875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 501.82596875
transcript.pyannote[121].end 506.88846875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 506.58471875
transcript.pyannote[122].end 514.12784375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 508.69409375
transcript.pyannote[123].end 510.55034375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 514.54971875
transcript.pyannote[124].end 516.45659375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 516.35534375
transcript.pyannote[125].end 516.92909375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 516.92909375
transcript.pyannote[126].end 517.01346875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 517.01346875
transcript.pyannote[127].end 520.52346875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 519.19034375
transcript.pyannote[128].end 520.05096875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 521.80596875
transcript.pyannote[129].end 522.97034375
transcript.whisperx[0].start 4.004
transcript.whisperx[0].end 8.686
transcript.whisperx[0].text 好謝謝主席本席有請劉部長劉部長有請劉委員好部長好本席就先就剛剛有關我們這個合建契約的問題直接再追問就是說我們在這個合建契約
transcript.whisperx[1].start 27.933
transcript.whisperx[1].end 56.673
transcript.whisperx[1].text 是否內政部有一些數據統計可以佐證就是說合建契約是否會因為行政審議的意見不一致導致履約過程中出現大量的訴訟爭端有沒有這種情況我請署長回應一下感謝啦因為合建契約它內容不會反映不一定會反映在杜庚的計畫書裡面它往往都是雙方私人合議的一些內容
transcript.whisperx[2].start 57.293
transcript.whisperx[2].end 77.633
transcript.whisperx[2].text 那最容易過去的經驗有沒有過去的經驗就是很容易因為因為資訊不對稱他不曉得都更的條例裡面有什麼樣的保障第二個呢過程當中有遇到政策或法令的修正導致雙方的權利義務會發生改變那這些就是一般在合建契約裡面最常出現的問題
transcript.whisperx[3].start 78.514
transcript.whisperx[3].end 101.102
transcript.whisperx[3].text 那內政部有沒有規劃建立那種合建契約的參考版本或資訊平台讓各類型契約有指引就是因為樣態太多種我們樣態太多種沒有辦法用範本的方式因為你就依據不同樣態開始來做跟委員報告因為第一個這是私人契約我們不曉得他們中間的協議內容因為協議內容甚至從
transcript.whisperx[4].start 105.503
transcript.whisperx[4].end 125.149
transcript.whisperx[4].text 單純的分屋分地道還要去賣我沒辦法建立參考版本有沒有諮詢平台所以我根本報告就是說過去我們跟地方政府討論像雙北他們就是去訂出所謂的注意事項那我們覺得注意事項是一個非常好的機制那本席的問題就是說那有沒有要請各縣市政府他可以有一些諮詢平台
transcript.whisperx[5].start 126.95
transcript.whisperx[5].end 142.719
transcript.whisperx[5].text 報告一下 我們本來就有補助各縣市政府有相關的輔導團跟專案辦公室那你們的指導有沒有要他成立這個諮詢平台說明一下現在就是透過輔導團跟專案辦公室他們本身就可以做這些事情
transcript.whisperx[6].start 143.467
transcript.whisperx[6].end 159.965
transcript.whisperx[6].text 那現在只是說他們可以做但是他們有沒有做是一回事嗎其實都有 都有在接受做這些那接著本席繼續問針對核建爭議較多的類型是否可以先行分類建議原則性的指導
transcript.whisperx[7].start 162.249
transcript.whisperx[7].end 178.33
transcript.whisperx[7].text 報告就是說我們現在就是跟地方政府討論雙北現在是用注意事項也就是說你在訂定這個合建契約的時候雙方要注意哪些內容那第二個呢我們現在還有在討論就是說另外叫做風險控管事項
transcript.whisperx[8].start 179.871
transcript.whisperx[8].end 207.864
transcript.whisperx[8].text 風險控管制也就把過去常發生的樣態你們在執行過程當中要注意哪些執行的風險那提醒雙方在這合約裡面都應該要去注意或建立一些制度那目前部內有沒有五年合建案件爭議類型的分類統計報告目前是沒有但是我們都是透過這個部分我想我剛剛的意思就是說我們透過在跟地方開會請他們把這一類的案件
transcript.whisperx[9].start 208.744
transcript.whisperx[9].end 224.496
transcript.whisperx[9].text 過去所發生的糾紛通通大家統整起來我們來進行做一些分類那也可以提供作為後面我們要訂定相關注意事項跟風險控管事項的這個依據好那最後合建契約協議的輔導小組這一個可以來成立嗎
transcript.whisperx[10].start 229.086
transcript.whisperx[10].end 237.488
transcript.whisperx[10].text 包括就是我們會如果這個內容出來我們一樣會交給地方政府你會不會明確的規範請他們有這樣的一個小組對對應該這麼說啦就是我們目前的預算來講是用輔導團跟專案辦公室的形式那未來我們就再來跟在後面的委託裡面呢就會請他們把這些要輔導這個這個協議合建的部分一併都納進來
transcript.whisperx[11].start 256.432
transcript.whisperx[11].end 266.921
transcript.whisperx[11].text 好謝謝那接著本席要接著問請教部長現在我們整個耐震弱成補強的這樣的一個推動成效好像
transcript.whisperx[12].start 267.697
transcript.whisperx[12].end 294.394
transcript.whisperx[12].text 不是很好報告因為其實我們每年都有編然後再來就是你一年也沒編多少錢我們一年有大概一億多一億多你看一年只可以補助幾戶你自己說應該這麼說我跟委員報告因為其實耐震補強的過程就會從出產品開始目前來講有一些民眾是不太願意是因為他們很擔心列出來的時候狀況沒有很好
transcript.whisperx[13].start 295.393
transcript.whisperx[13].end 318.016
transcript.whisperx[13].text 所以往往都是第一步所以他沒辦法他會影響他的房價所以他不太願意第一步跨出第一步但是因為從921之後然後陸續一些大地震我們都知道說我們事先的補強會有助於未來就是說預防災害的發生那如果你一年一億多我算了一下大概幾十戶
transcript.whisperx[14].start 322.312
transcript.whisperx[14].end 344.807
transcript.whisperx[14].text 一年大概是五到七件一年大概是五到七件你看全國一個縣是分不到一件所以這個我覺得很值得檢討因為我們有感覺到你在都會區或非都會區應該是有它的差異像我們部長當過副市長
transcript.whisperx[15].start 347.709
transcript.whisperx[15].end 363.366
transcript.whisperx[15].text 這光是高雄市區跟以前的高雄縣它就不一樣還有像我們其他非六都的縣市那其實有這種資訊落差的問題所謂資訊落差就是可能有些民眾他不知道
transcript.whisperx[16].start 364.207
transcript.whisperx[16].end 391.364
transcript.whisperx[16].text 其实以一般非都会区它也没有什么会影响它地价你这个可能还是都市思维所以这个部分我们是希望你这样一亿多真的太少好像只是点缀式的没有真的要做那这一块其实也是民众的权益民众的权益健全我们整个都市的发展我们都应该要兼顾所以这个部分应该要来加强吧
transcript.whisperx[17].start 392.069
transcript.whisperx[17].end 412.712
transcript.whisperx[17].text 這根文報告啦 其實我們大概每年都有去各縣市做推廣各縣市做推廣那其實我們剛剛講的是一個沒有各縣市推廣 可是你一年只有幾間大概過去的經驗就去推廣大概民眾的反應是這樣啦因為尤其大概對於老舊的公寓大概都會有整合的問題因為要提到那一陣補強
transcript.whisperx[18].start 413.803
transcript.whisperx[18].end 431.363
transcript.whisperx[18].text 那其實大家都要共同出資啦因為不會政府不可能百分之百還是會有共同出資的問題但是就會就會出現有人願意出資有人不願意出資所以我們過去的輔導案件很多 整合的問題嘛對 也會出現整合的問題所以過去在這個案例當中
transcript.whisperx[19].start 432.479
transcript.whisperx[19].end 448.781
transcript.whisperx[19].text 公寓大廈的管理組織其實是非常重要他要能夠去溝通所有的住戶大家一起願意來做那這也是一個很重要的成敗關鍵所以過去曾經我們也高達一年要鞭屍幾億但是慢慢減少也是因為實際上就是因為你們落實不了
transcript.whisperx[20].start 449.201
transcript.whisperx[20].end 467.571
transcript.whisperx[20].text 所以一直減少應該是說在民眾這兩步要能跨得出去這樣會比較容易來進行所以好 那我們的宣導還有我們很多的溝通甚至我們的協助也很重要啊是譬如說我們有沒有考慮那種一站式的服務窗口讓各直轄市也好縣市政府
transcript.whisperx[21].start 468.251
transcript.whisperx[21].end 491.619
transcript.whisperx[21].text 我們應該就是說這個政策我們利益非常好剛剛署長講了本來一年可能十幾億甚至我們如果做得好幾十億我們就應該為民眾的這種耐政的弱成補強來加強那可是呢就實施的不好實施不好是因為什麼是因為我覺得有資訊的落差
transcript.whisperx[22].start 493.148
transcript.whisperx[22].end 518.961
transcript.whisperx[22].text 還有我們沒有確實去落實所以今天因為剛好有類似的議題所以本席也在這邊要特別的來強調部長加油一點可以嗎我們會來跟地方來加強第一個溝通第二個是宣傳把問題找出來然後我們應該要加強宣導然後地方政府他也應該要有一些這種服務的窗口要做好我想這我們後面會來加強宣導感謝
transcript.whisperx[23].start 521.861
transcript.whisperx[23].end 521.901
transcript.whisperx[23].text 謝謝徐馨