iVOD / 160497

Field Value
IVOD_ID 160497
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160497
日期 2025-04-23
會議資料.會議代碼 委員會-11-3-15-13
會議資料.會議代碼:str 第11屆第3會期內政委員會第13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 13
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13次全體委員會議
影片種類 Clip
開始時間 2025-04-23T10:06:58+08:00
結束時間 2025-04-23T10:14:59+08:00
影片長度 00:08:01
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/27ac2f54fdf75cc01924cb1e5f2294cf65a835c60a672e2887b5e96e7cd6ee7274881cda51d8a84a5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張宏陸
委員發言時間 10:06:58 - 10:14:59
會議時間 2025-04-23T09:00:00+08:00
會議名稱 立法院第11屆第3會期內政委員會第13次全體委員會議(事由:一、審查委員羅廷瑋等16人擬具「社會秩序維護法第六十四條條文修正草案」案。 二、審查委員高金素梅等21人擬具「社會秩序維護法第六十四條條文修正草案」案。 三、審查委員王鴻薇等24人擬具「社會秩序維護法第六十四條條文修正草案」案。 四、審查委員林思銘等22人擬具「社會秩序維護法第六十四條條文修正草案」案。 五、審查委員魯明哲等17人擬具「社會秩序維護法第八十九條條文修正草案」案。 六、審查台灣民眾黨黨團擬具「社會秩序維護法第六十四條及第七十二條條文修正草案」案。 七、審查委員邱若華等19人擬具「社會秩序維護法第六十四條條文修正草案」案。 八、審查委員邱若華等19人擬具「社會秩序維護法第七十二條條文修正草案」案。 九、審查委員顏寬恒等16人擬具「社會秩序維護法第九條條文修正草案」案。 十、審查委員顏寬恒等16人擬具「社會秩序維護法第八十九條條文修正草案」案。 十一、審查委員魯明哲等18人擬具「社會秩序維護法第八十九條條文修正草案」案。 【詢答及處理】 【4月23日及24日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.89159375
transcript.pyannote[0].end 1.11096875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 1.56659375
transcript.pyannote[1].end 3.49034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 4.55346875
transcript.pyannote[2].end 4.87409375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 5.31284375
transcript.pyannote[3].end 6.02159375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 6.29159375
transcript.pyannote[4].end 6.61221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 7.20284375
transcript.pyannote[5].end 10.22346875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 10.49346875
transcript.pyannote[6].end 14.49284375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 16.78784375
transcript.pyannote[7].end 19.65659375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 21.86721875
transcript.pyannote[8].end 22.15409375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 23.06534375
transcript.pyannote[9].end 23.63909375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 23.84159375
transcript.pyannote[10].end 27.25034375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 27.35159375
transcript.pyannote[11].end 30.65909375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 31.60409375
transcript.pyannote[12].end 33.08909375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 33.42659375
transcript.pyannote[13].end 39.18096875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 40.04159375
transcript.pyannote[14].end 41.39159375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 41.40846875
transcript.pyannote[15].end 44.53034375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 44.69909375
transcript.pyannote[16].end 46.16721875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 46.85909375
transcript.pyannote[17].end 48.00659375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 49.10346875
transcript.pyannote[18].end 51.60096875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 52.90034375
transcript.pyannote[19].end 57.30471875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 57.76034375
transcript.pyannote[20].end 58.28346875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 59.58284375
transcript.pyannote[21].end 65.69159375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 66.18096875
transcript.pyannote[22].end 67.98659375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 68.56034375
transcript.pyannote[23].end 72.69471875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 73.31909375
transcript.pyannote[24].end 73.90971875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 74.71971875
transcript.pyannote[25].end 77.65596875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 78.41534375
transcript.pyannote[26].end 85.57034375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 85.92471875
transcript.pyannote[27].end 89.16471875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 89.62034375
transcript.pyannote[28].end 102.04034375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 102.10784375
transcript.pyannote[29].end 105.07784375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 105.17909375
transcript.pyannote[30].end 108.18284375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 109.07721875
transcript.pyannote[31].end 116.08034375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 116.83971875
transcript.pyannote[32].end 128.23034375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 119.70846875
transcript.pyannote[33].end 120.48471875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 128.23034375
transcript.pyannote[34].end 128.82096875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 128.87159375
transcript.pyannote[35].end 130.79534375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 130.87971875
transcript.pyannote[36].end 133.47846875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 133.69784375
transcript.pyannote[37].end 134.50784375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 135.45284375
transcript.pyannote[38].end 139.06409375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 139.60409375
transcript.pyannote[39].end 139.99221875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 140.86971875
transcript.pyannote[40].end 144.14346875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 145.72971875
transcript.pyannote[41].end 148.22721875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 148.90221875
transcript.pyannote[42].end 150.35346875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 150.96096875
transcript.pyannote[43].end 153.91409375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 154.53846875
transcript.pyannote[44].end 156.52971875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 156.71534375
transcript.pyannote[45].end 157.59284375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 158.23409375
transcript.pyannote[46].end 159.78659375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 160.98471875
transcript.pyannote[47].end 168.29159375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 169.42221875
transcript.pyannote[48].end 179.39534375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 180.05346875
transcript.pyannote[49].end 184.01909375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 183.44534375
transcript.pyannote[50].end 196.15221875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 197.51909375
transcript.pyannote[51].end 204.11721875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 204.65721875
transcript.pyannote[52].end 214.56284375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 216.48659375
transcript.pyannote[53].end 219.28784375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 219.55784375
transcript.pyannote[54].end 221.46471875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 222.52784375
transcript.pyannote[55].end 223.48971875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 224.21534375
transcript.pyannote[56].end 229.26096875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 228.87284375
transcript.pyannote[57].end 234.91409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 233.42909375
transcript.pyannote[58].end 233.96909375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 235.11659375
transcript.pyannote[59].end 235.15034375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 235.15034375
transcript.pyannote[60].end 238.23846875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 236.75346875
transcript.pyannote[61].end 238.55909375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 238.44096875
transcript.pyannote[62].end 251.36721875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 251.29971875
transcript.pyannote[63].end 254.62409375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 255.67034375
transcript.pyannote[64].end 258.26909375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 257.23971875
transcript.pyannote[65].end 261.74534375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 262.13346875
transcript.pyannote[66].end 265.42409375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 266.08221875
transcript.pyannote[67].end 268.02284375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 268.02284375
transcript.pyannote[68].end 268.03971875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 268.63034375
transcript.pyannote[69].end 268.96784375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 269.32221875
transcript.pyannote[70].end 269.69346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 270.75659375
transcript.pyannote[71].end 271.76909375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 272.71409375
transcript.pyannote[72].end 275.24534375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 275.80221875
transcript.pyannote[73].end 278.18159375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 278.63721875
transcript.pyannote[74].end 282.48471875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 282.67034375
transcript.pyannote[75].end 288.77909375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 288.77909375
transcript.pyannote[76].end 291.17534375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 291.66471875
transcript.pyannote[77].end 294.21284375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 294.71909375
transcript.pyannote[78].end 310.75034375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 310.81784375
transcript.pyannote[79].end 313.75409375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 314.41221875
transcript.pyannote[80].end 321.90471875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 323.08596875
transcript.pyannote[81].end 343.65659375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 330.32534375
transcript.pyannote[82].end 330.66284375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 339.64034375
transcript.pyannote[83].end 340.77096875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 343.85909375
transcript.pyannote[84].end 353.44409375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 345.81659375
transcript.pyannote[85].end 347.01471875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 347.31846875
transcript.pyannote[86].end 347.72346875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 350.99721875
transcript.pyannote[87].end 351.85784375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 353.98409375
transcript.pyannote[88].end 360.86909375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 361.15596875
transcript.pyannote[89].end 364.80096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 365.45909375
transcript.pyannote[90].end 372.19221875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 365.62784375
transcript.pyannote[91].end 365.94846875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 366.92721875
transcript.pyannote[92].end 367.04534375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 367.12971875
transcript.pyannote[93].end 367.16346875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 372.29346875
transcript.pyannote[94].end 379.22909375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 380.47784375
transcript.pyannote[95].end 385.77659375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 385.77659375
transcript.pyannote[96].end 389.48909375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 389.62409375
transcript.pyannote[97].end 390.41721875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 390.70409375
transcript.pyannote[98].end 395.17596875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 393.70784375
transcript.pyannote[99].end 399.27659375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 399.63096875
transcript.pyannote[100].end 399.96846875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 399.96846875
transcript.pyannote[101].end 399.98534375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 399.98534375
transcript.pyannote[102].end 400.17096875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 400.17096875
transcript.pyannote[103].end 405.53721875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 403.69784375
transcript.pyannote[104].end 404.30534375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 405.53721875
transcript.pyannote[105].end 413.58659375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 413.97471875
transcript.pyannote[106].end 423.61034375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 424.45409375
transcript.pyannote[107].end 424.87596875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 425.51721875
transcript.pyannote[108].end 427.28909375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 427.45784375
transcript.pyannote[109].end 430.27596875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 431.20409375
transcript.pyannote[110].end 440.70471875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 440.70471875
transcript.pyannote[111].end 441.36284375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 441.85221875
transcript.pyannote[112].end 450.82971875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 447.21846875
transcript.pyannote[113].end 447.58971875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 451.33596875
transcript.pyannote[114].end 464.07659375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 464.90346875
transcript.pyannote[115].end 466.57409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 467.04659375
transcript.pyannote[116].end 478.45409375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 478.45409375
transcript.pyannote[117].end 478.48784375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 478.48784375
transcript.pyannote[118].end 478.50471875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 478.50471875
transcript.pyannote[119].end 478.92659375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 480.22596875
transcript.pyannote[120].end 481.32284375
transcript.whisperx[0].start 1.729
transcript.whisperx[0].end 14.233
transcript.whisperx[0].text 哎呦,柏中你站在那裡啊好,來我在執行前,我想先那個今天有各部會的代表的,請先舉手一下來,各部會各部會的代表啊,請先舉手一下你看,好多隻手喔好,請放下
transcript.whisperx[1].start 27.56
transcript.whisperx[1].end 45.511
transcript.whisperx[1].text 我為什麼要特別先這樣子你知道嗎這個社會秩序違法牽扯到的部會真的非常多啦非常多而且有一些法令各部會其實都有訂專法都已經在處理了是不是啊各部會你們可以點頭或什麼就好啦
transcript.whisperx[2].start 53.187
transcript.whisperx[2].end 56.831
transcript.whisperx[2].text 我幫他們回應了,有了沒有,我有在看他們在點頭了因為各部會其實也有訂專法在處理我想請問一下部長或是署長如果這些業務量又回來你們這邊你們覺得你們有這個辦法去處理嗎?
transcript.whisperx[3].start 78.444
transcript.whisperx[3].end 107.947
transcript.whisperx[3].text 真的沒辦法剛剛委員也講這是包山包海我覺得已經特別法已經有規範就用適用特別法來做適用那設置法是一個普通法所以現在你現在去做執行也是適用的這些效果是特別法適用這些特別法那這個設置法是一個普通法如果有不足的話才是在設置法那我是覺得檢查工作真的要讓他專精不然每一樣都包山包海做每一樣都做不好
transcript.whisperx[4].start 109.124
transcript.whisperx[4].end 134.168
transcript.whisperx[4].text 沒有錯而且喔如果都回來這裡喔不是你們派人出去之後他如果違反你們還要要不要開單你們還要處理很多後續的行政作業對沒有錯是不是是啊這個比你派警員出去你後續的這些文書作業你反而更需要更多的人力吧沒有錯沒有錯嗎好那我們從這次的修法我也看
transcript.whisperx[5].start 135.709
transcript.whisperx[5].end 159.489
transcript.whisperx[5].text 我真的覺得有一點奇怪你知道嗎這個可能各位同仁大家要思考一下在各部會裡面的專法裡面他都有罰款了那我們今天很多的修法裡面啊你罰款比人家本來的罰都還少啊你去訂這個有什麼意義
transcript.whisperx[6].start 164.158
transcript.whisperx[6].end 178.914
transcript.whisperx[6].text 我不直接講哪個委員的法案啦但人家明明其他的法律裡面他罰的錢都比較多那我們今天又來修這一個法結果罰的比較少
transcript.whisperx[7].start 180.371
transcript.whisperx[7].end 203.487
transcript.whisperx[7].text 這我不知道意義何在 這個是要累死你們警察我來報告一下 你現在修的這個法管確實是比那個專法少所以現在逮到黃牛也不會用設置法來採法 是用那個專法來採啊對啊 所以那個專法 你比方講像文創的那個那個是五十倍的一個法 幾十萬欸
transcript.whisperx[8].start 204.727
transcript.whisperx[8].end 221.275
transcript.whisperx[8].text 那這些你如果增加到那個設置法頂多是增加我看那裡面有增加到三萬多塊你沒辦法是用設置法還是還是用專法來罰署長我就是要問你這個那如果回到這個設置法之後有這個問題
transcript.whisperx[9].start 224.266
transcript.whisperx[9].end 231.513
transcript.whisperx[9].text 那民眾如果報案如果什麼,那你們警察要不要開判?沒辦法用設置法罰,抓到的話還是用專法來處罰沒辦法用設置法處罰你還是要回去原來的專法處罰那所以我就點出了這個不是很奇怪的一個修法嗎?
transcript.whisperx[10].start 246.068
transcript.whisperx[10].end 266.982
transcript.whisperx[10].text 這個真的是多此一舉耶我不知道署長你們整個的看法所以我們看法就是建議不修正建議不修正啦我們看法就是這剛剛部長已經有報告就是這個建議不修正因為你修的話也沒有用啊修的話沒辦法適用啦不是我發現啦齁
transcript.whisperx[11].start 272.779
transcript.whisperx[11].end 293.887
transcript.whisperx[11].text 有看出來這個問題的也不是只有我啊是很多人都有發現了這個問題啊那我們如果這樣子我真的是我覺得啦這個法如果通過齁就是累死你們警察而已全國的警察會痛死啦報告委員通過也沒辦法適用啦通過還是適用專法通過也是
transcript.whisperx[12].start 295.047
transcript.whisperx[12].end 321.365
transcript.whisperx[12].text 擺盜的黃牛還是用專法因為現在沒有用設置法比如想像現在的這個比較前的小巨蛋的演唱會啦或者是大巨蛋的這些的那個棒球啦都分別有這個文創法跟運動賽事的專法在適用這些黃牛都有適用也沒有在適用設置法你設置法再定個再多幾萬兩萬三萬那也沒辦法適用設置法還是適用專法
transcript.whisperx[13].start 323.154
transcript.whisperx[13].end 343.302
transcript.whisperx[13].text 我當然知道是適用做法所以我說是類似你們警察而已啊你們警察也無所適從啊是不是如果大家要就責又說警察這個設置法裡面有你們警察又不處理外界不了解法律的內容沒有錯那是類似你們警察而已啊而且喔你剛講的那些還是部分
transcript.whisperx[14].start 343.982
transcript.whisperx[14].end 364.759
transcript.whisperx[14].text 阿如果噪音防治法咧一樣啊那個狀況是相同的不是喔那個案件可能比演唱會多上千倍上萬倍喔沒有錯那你怎麼處理我們現在的這個狀況大概就是兩個單位就是環保跟警察嘛那現在有一些就是警察的部分現在平常講啦警察到場去處理噪音大概都是只有嵌倒啦
transcript.whisperx[15].start 367.233
transcript.whisperx[15].end 378.942
transcript.whisperx[15].text 那你如果要法的話真正要法都是在噪音管制法的環保單位他有儀器我們警察也沒辦法說透過這個聽這個是屬於噪音或怎樣只是說你這個停止所以這個等於是
transcript.whisperx[16].start 380.529
transcript.whisperx[16].end 398.694
transcript.whisperx[16].text 如果民眾要聽就聽,不聽的話也沒有辦法,因為也沒有這些良策的這一期沒有錯啊,但如果又回到這個法裡面,人才要不要處理?要不要去?要去啊阿對啊,阿你要去又沒辦法辦任何事所以如果說未來,如果要更建立,我也強力建立要在專法裡面去做修訂
transcript.whisperx[17].start 399.916
transcript.whisperx[17].end 426.821
transcript.whisperx[17].text 對啦 從專法 從噪音管制法的專法去做修訂對啦 才辦了涵括全部我舉這幾個例子是說齁如果這樣子齁 這個法今天修了的話齁不僅達不到目的啦累死我們警察弟兄啦而且最主要的是你到時候執法的時候沒有一個標準你會讓警察弟兄被人家罵這個是我擔心的啦 署長
transcript.whisperx[18].start 427.526
transcript.whisperx[18].end 450.051
transcript.whisperx[18].text 目前如果以噪音的這個部分一定是沒有標準因為每個同仁去的聽了到底是不是噪音所以現在的這個裁決大概都是只有勸導我們沒有這些應用設置法來做處罰現在如果真的要開單在地方政府他是環保局派人去量測什麼什麼的然後有車子去那才能夠真正的第一線馬上
transcript.whisperx[19].start 451.431
transcript.whisperx[19].end 478.176
transcript.whisperx[19].text 法啊然後那個警察局是沒有辦法的我舉這個例子是說如果噪音也要警察管你們警察反正我每天都報案都有噪音警察光這個警察就其他事都不用做了啦所以我還是覺得啦這個啊要不要修這個法大家要仔細的想一下我個人也認為修是多此一舉沒有用的啦好謝謝啦
transcript.whisperx[20].start 480.25
transcript.whisperx[20].end 480.271
transcript.whisperx[20].text 好謝謝