iVOD / 165122

Field Value
IVOD_ID 165122
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165122
日期 2025-11-05
會議資料.會議代碼 委員會-11-4-15-9
會議資料.會議代碼:str 第11屆第4會期內政委員會第9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 9
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4會期內政委員會第9次全體委員會議
影片種類 Clip
開始時間 2025-11-05T12:23:49+08:00
結束時間 2025-11-05T12:29:58+08:00
影片長度 00:06:09
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0bb7d6ea348ff1d2edae9d86714196aed470ab4440ded08e6b4ef68dc504cb3c5217a0206b96f6855ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林德福
委員發言時間 12:23:49 - 12:29:58
會議時間 2025-11-05T09:00:00+08:00
會議名稱 立法院第11屆第4會期內政委員會第9次全體委員會議(事由:邀請內政部部長率同所屬列席報告業務概況(含上會期臨時提案辦理情形),並備質詢。 【11月5日及6日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.67221875
transcript.pyannote[0].end 1.81971875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 2.12346875
transcript.pyannote[1].end 5.88659375
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 5.88659375
transcript.pyannote[2].end 6.71346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 6.20721875
transcript.pyannote[3].end 6.46034375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 6.86534375
transcript.pyannote[4].end 9.09284375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 9.09284375
transcript.pyannote[5].end 10.34159375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 9.12659375
transcript.pyannote[6].end 9.27846875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 9.56534375
transcript.pyannote[7].end 10.13909375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 10.34159375
transcript.pyannote[8].end 12.02909375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 10.94909375
transcript.pyannote[9].end 11.86034375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 12.06284375
transcript.pyannote[10].end 13.26096875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 13.49721875
transcript.pyannote[11].end 16.02846875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 16.31534375
transcript.pyannote[12].end 17.88471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 16.53471875
transcript.pyannote[13].end 17.96909375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 17.96909375
transcript.pyannote[14].end 17.98596875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 18.49221875
transcript.pyannote[15].end 19.18409375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 19.87596875
transcript.pyannote[16].end 23.47034375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 23.82471875
transcript.pyannote[17].end 25.71471875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 25.19159375
transcript.pyannote[18].end 25.57971875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 26.54159375
transcript.pyannote[19].end 33.86534375
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 28.33034375
transcript.pyannote[20].end 29.02221875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 30.22034375
transcript.pyannote[21].end 30.96284375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 34.33784375
transcript.pyannote[22].end 36.19409375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 36.98721875
transcript.pyannote[23].end 39.18096875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 39.60284375
transcript.pyannote[24].end 42.18471875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 42.87659375
transcript.pyannote[25].end 44.95221875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 44.95221875
transcript.pyannote[26].end 45.66096875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 45.34034375
transcript.pyannote[27].end 55.04346875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 49.57596875
transcript.pyannote[28].end 49.91346875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 55.70159375
transcript.pyannote[29].end 57.18659375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 57.70971875
transcript.pyannote[30].end 58.55346875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 59.22846875
transcript.pyannote[31].end 60.61221875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 61.01721875
transcript.pyannote[32].end 66.90659375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 67.32846875
transcript.pyannote[33].end 89.73846875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 70.88909375
transcript.pyannote[34].end 71.78346875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 76.99784375
transcript.pyannote[35].end 77.36909375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 79.22534375
transcript.pyannote[36].end 79.57971875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 80.74409375
transcript.pyannote[37].end 81.01409375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 83.25846875
transcript.pyannote[38].end 84.47346875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 88.28721875
transcript.pyannote[39].end 90.56534375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 89.87346875
transcript.pyannote[40].end 107.89596875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 94.46346875
transcript.pyannote[41].end 94.91909375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 95.08784375
transcript.pyannote[42].end 95.18909375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 98.46284375
transcript.pyannote[43].end 99.08721875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 100.01534375
transcript.pyannote[44].end 100.13346875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 100.23471875
transcript.pyannote[45].end 100.31909375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 104.79096875
transcript.pyannote[46].end 105.33096875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 106.10721875
transcript.pyannote[47].end 106.32659375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 106.42784375
transcript.pyannote[48].end 106.49534375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 107.96346875
transcript.pyannote[49].end 117.63284375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 108.14909375
transcript.pyannote[50].end 108.75659375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 112.87409375
transcript.pyannote[51].end 113.36346875
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 117.76784375
transcript.pyannote[52].end 117.97034375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 117.97034375
transcript.pyannote[53].end 122.98221875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 119.82659375
transcript.pyannote[54].end 120.43409375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 122.20596875
transcript.pyannote[55].end 124.63596875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 124.53471875
transcript.pyannote[56].end 126.96471875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 127.21784375
transcript.pyannote[57].end 130.96409375
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 129.90096875
transcript.pyannote[58].end 130.52534375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 130.77846875
transcript.pyannote[59].end 130.89659375
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 130.96409375
transcript.pyannote[60].end 130.98096875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 130.98096875
transcript.pyannote[61].end 130.99784375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 130.99784375
transcript.pyannote[62].end 131.03159375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 131.28471875
transcript.pyannote[63].end 131.77409375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 132.28034375
transcript.pyannote[64].end 137.47784375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 137.54534375
transcript.pyannote[65].end 143.29971875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 143.68784375
transcript.pyannote[66].end 150.89346875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 151.18034375
transcript.pyannote[67].end 162.33471875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 153.47534375
transcript.pyannote[68].end 154.30221875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 155.17971875
transcript.pyannote[69].end 155.58471875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 162.53721875
transcript.pyannote[70].end 166.04721875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 166.77284375
transcript.pyannote[71].end 169.87784375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 170.16471875
transcript.pyannote[72].end 176.40846875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 175.24409375
transcript.pyannote[73].end 177.42096875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 177.85971875
transcript.pyannote[74].end 186.01034375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 186.22971875
transcript.pyannote[75].end 194.86971875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 192.94596875
transcript.pyannote[76].end 193.77284375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 194.98784375
transcript.pyannote[77].end 207.45846875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 206.71596875
transcript.pyannote[78].end 208.04909375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 208.31909375
transcript.pyannote[79].end 209.19659375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 209.48346875
transcript.pyannote[80].end 213.65159375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 213.68534375
transcript.pyannote[81].end 222.40971875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 221.12721875
transcript.pyannote[82].end 224.58659375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 223.77659375
transcript.pyannote[83].end 234.34034375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 230.13846875
transcript.pyannote[84].end 230.20596875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 230.20596875
transcript.pyannote[85].end 230.49284375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 234.54284375
transcript.pyannote[86].end 236.41596875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 236.61846875
transcript.pyannote[87].end 255.02909375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 255.56909375
transcript.pyannote[88].end 265.00221875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 265.12034375
transcript.pyannote[89].end 267.34784375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 268.36034375
transcript.pyannote[90].end 278.18159375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 278.16471875
transcript.pyannote[91].end 281.03346875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 279.75096875
transcript.pyannote[92].end 281.86034375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 281.52284375
transcript.pyannote[93].end 284.15534375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 284.50971875
transcript.pyannote[94].end 286.82159375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 287.41221875
transcript.pyannote[95].end 291.51284375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 290.63534375
transcript.pyannote[96].end 292.55909375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 291.86721875
transcript.pyannote[97].end 297.08159375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 297.41909375
transcript.pyannote[98].end 298.90409375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 299.24159375
transcript.pyannote[99].end 300.54096875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 300.96284375
transcript.pyannote[100].end 302.78534375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 304.72596875
transcript.pyannote[101].end 325.60034375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 311.94846875
transcript.pyannote[102].end 312.31971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 318.81659375
transcript.pyannote[103].end 321.58409375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 325.60034375
transcript.pyannote[104].end 336.56909375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 336.87284375
transcript.pyannote[105].end 339.99471875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 340.50096875
transcript.pyannote[106].end 342.05346875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 342.50909375
transcript.pyannote[107].end 346.40721875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 346.62659375
transcript.pyannote[108].end 351.14909375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 351.30096875
transcript.pyannote[109].end 355.67159375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 355.78971875
transcript.pyannote[110].end 364.68284375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 365.03721875
transcript.pyannote[111].end 367.38284375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 367.38284375
transcript.pyannote[112].end 368.19284375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 369.20534375
transcript.pyannote[113].end 369.96471875
transcript.whisperx[0].start 1.261
transcript.whisperx[0].end 10.509
transcript.whisperx[0].text 謝謝主席是不是請這個劉部長還有警政署張署長還有吳署長我們內政部國土署我想首先我先問吳署長很簡單的題目
transcript.whisperx[1].start 26.584
transcript.whisperx[1].end 53.722
transcript.whisperx[1].text 因為永和有一個行政園區那我也跟吳署長聯絡過好多次那我剛剛有問裡面你們去查現在就是因為永和那個公所還有呼稱事務所分局包括國務紀念館都是超過50年以上那其實要辦一個公辦的行政園區的都更那我剛剛是有特別問說為什麼省了那麼多次為什麼沒有
transcript.whisperx[2].start 55.731
transcript.whisperx[2].end 82.248
transcript.whisperx[2].text 都好像沒有什麼進展那我是要問吳署長說到底你們那個都跟住宅區可以商業區可以行政園區可不可以都跟跟委員報告因為這個案子其實我們也審了三次對啊那因為也一直告訴他因為最主要第一個你行政園區以後如果還要作為可出售的就是住宅使用的話其實在委員會來講是相對比較困難第二個就是說因為
transcript.whisperx[3].start 85.7
transcript.whisperx[3].end 110.547
transcript.whisperx[3].text 他的基地條件你也知道就在竹林路跟國光路交叉口那邊的道路路幅也不寬但是市府要把容積率大幅提高到500那產生的這個容積面積會太大所以我們一直有顧慮那他們一直到10月2號才送最新就隔了一年了他們再送新的版本來那這次有調降把容積率再調降 那個交通衝擊評估
transcript.whisperx[4].start 111.997
transcript.whisperx[4].end 130.072
transcript.whisperx[4].text 有在重做 那所以這個部分我們會安排在下個月會開始來審查這樣我只不過是要了解一下說到底他為什麼那麼多次都沒有進展對 因為中間有幾個困難點那這樣我了解 謝謝啊 署長你請回來我現在來請警政署署長跟內政部署長那個
transcript.whisperx[5].start 132.352
transcript.whisperx[5].end 150.741
transcript.whisperx[5].text 因為打詐儀表板顯示這個114年1到10月民眾通報這個整個財產損失的金額高達762億元那我請問內政部是否需要修法來提高這個詐騙的處罰你認為有沒有需要
transcript.whisperx[6].start 151.229
transcript.whisperx[6].end 157.793
transcript.whisperx[6].text 我個人認為有需要因為去年這個打造中華企業才通過我們經過這個期端的這個觀察覺得就是有一些詐騙的這個金額我們當時如果說比500萬的話大概是3到
transcript.whisperx[7].start 167.058
transcript.whisperx[7].end 184.39
transcript.whisperx[7].text 3到10年嘛如果1大概5年到12年那我們覺得這個金額可以往下降就是用重罰的方式來做一個重罰我認為沒有用啦那個一警政府你是不是覺得這個警察的努力偵辦偵辦這些這個查集的詐欺問題是判刑過輕嘛讓詐團交保以後甚至於他要繼續作案因為你判刑太輕了啊
transcript.whisperx[8].start 195.217
transcript.whisperx[8].end 207.72
transcript.whisperx[8].text 那就是說這個法的這個刑度就是要定高那因為有下限跟有下限跟上限所以有時候就是判刑的結果有些是不符人民的這個期待因為確實那個詐騙你看很多家庭因為這樣受詐到最後甚至於母女都走入絕路甚至於很多人他受不了就走上絕路
transcript.whisperx[9].start 221.104
transcript.whisperx[9].end 232.521
transcript.whisperx[9].text 我們也希望這個造房條例請委員支持啦我們絕對支持啦我認為這個要重判甚至於我認為再加邊刑我跟你講這個只要加邊刑那個不是人權的問題啦我跟你講那些都是保護壞人啦
transcript.whisperx[10].start 237.287
transcript.whisperx[10].end 264.177
transcript.whisperx[10].text 普化現金一萬元從今天開始要依照身份證字號的尾數進行分流來上網登記最慢明年4月30都可以登記領取那有許多銀行也推出一些加碼抽獎的活動本期是提醒內政部跟警政署165的反詐騙要從源頭封鎖要封鎖可疑的這些網站或帳號避免民眾受騙上當
transcript.whisperx[11].start 265.177
transcript.whisperx[11].end 286.706
transcript.whisperx[11].text 委員這個部分就是官方的這個帳號只有1萬點擊分點擊其他的帳號都是自繳的這個我們如果巡邏發現到這個一定會下交貨解析對啊我認為這個很重要我們會從源頭來處理數位發展部在搞什麼我真的看不懂其實那個部分一點功能都沒有了
transcript.whisperx[12].start 287.626
transcript.whisperx[12].end 301.051
transcript.whisperx[12].text 我們是針對問題 今天是要解決問題我們會從源頭來 數位發展部一開始花了兩百多億結果越炸越嚴重 老百姓是很憤怒政府要有作為 署長 柏中你的想法
transcript.whisperx[13].start 304.795
transcript.whisperx[13].end 331.648
transcript.whisperx[13].text 我們這次炸房條例要修嚴啦包括我們最近一個案例就是一個車手 因為車手都是判刑太輕可是是根據他拿到兩千塊就給他判個三個月甚至緩刑但是現在有個車手被判了十二年那是法官判的所以表示說我們炸房條例裡面要重罰這個部分我們完全支持我認為說你們提出來我相信我們立法院每個同仁絕對會力挺支持
transcript.whisperx[14].start 332.188
transcript.whisperx[14].end 349.932
transcript.whisperx[14].text 因為你那個等於是縱容嘛上次我看到他那個引渡回來結果下了飛機全部都放掉歷歷在目對不對我認為這是很嚴重的問題而且你看台灣現在變成詐騙王國我們希望站在就是維護公權力的立場署長也好部長也好
transcript.whisperx[15].start 357.774
transcript.whisperx[15].end 366.283
transcript.whisperx[15].text 一定要嚴苛的該增加刑期該增加判包括那些車手都不能放啦我認為要加重啦謝謝