iVOD / 164280

Field Value
IVOD_ID 164280
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164280
日期 2025-10-16
會議資料.會議代碼 委員會-11-4-15-5
會議資料.會議代碼:str 第11屆第4會期內政委員會第5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 5
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5次全體委員會議
影片種類 Clip
開始時間 2025-10-16T10:32:15+08:00
結束時間 2025-10-16T10:38:59+08:00
影片長度 00:06:44
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6022c9f6d63255a3d68f0bd6fbef5cd4a3b07049f443442ad77ab6ef5aede898b88d7f28b768b82a5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 李柏毅
委員發言時間 10:32:15 - 10:38:59
會議時間 2025-10-16T09:00:00+08:00
會議名稱 立法院第11屆第4會期內政委員會第5次全體委員會議(事由:邀請內政部部長、海洋委員會主任委員、內政部警政署署長、內政部消防署署長就「警察、消防、海巡、移民及空中勤務總隊人員危勞津貼及退休權益之保障」進行專題報告並備質詢,另請行政院人事行政總處、行政院主計總處、銓敘部派員列席備詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.97596875
transcript.pyannote[0].end 4.70534375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 5.00909375
transcript.pyannote[1].end 5.61659375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 6.05534375
transcript.pyannote[2].end 9.49784375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 9.76784375
transcript.pyannote[3].end 11.97846875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 11.33721875
transcript.pyannote[4].end 11.87721875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 12.95721875
transcript.pyannote[5].end 13.41284375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 19.30221875
transcript.pyannote[6].end 20.95596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 21.24284375
transcript.pyannote[7].end 23.40284375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 23.68971875
transcript.pyannote[8].end 31.65471875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 32.16096875
transcript.pyannote[9].end 36.56534375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 37.10534375
transcript.pyannote[10].end 38.40471875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 39.01221875
transcript.pyannote[11].end 49.03596875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 49.30596875
transcript.pyannote[12].end 55.33034375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 55.60034375
transcript.pyannote[13].end 62.56971875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 63.46409375
transcript.pyannote[14].end 64.45971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 65.37096875
transcript.pyannote[15].end 68.54346875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 68.77971875
transcript.pyannote[16].end 79.09034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 79.63034375
transcript.pyannote[17].end 82.66784375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 82.92096875
transcript.pyannote[18].end 86.43096875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 86.93721875
transcript.pyannote[19].end 89.43471875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 89.83971875
transcript.pyannote[20].end 98.83409375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 97.21409375
transcript.pyannote[21].end 97.55159375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 99.17159375
transcript.pyannote[22].end 108.95909375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 104.35221875
transcript.pyannote[23].end 104.92596875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 109.09409375
transcript.pyannote[24].end 111.32159375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 111.52409375
transcript.pyannote[25].end 115.13534375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 115.25346875
transcript.pyannote[26].end 119.59034375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 119.57346875
transcript.pyannote[27].end 128.61846875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 121.27784375
transcript.pyannote[28].end 122.03721875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 129.44534375
transcript.pyannote[29].end 130.27221875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 130.87971875
transcript.pyannote[30].end 139.73909375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 131.25096875
transcript.pyannote[31].end 132.63471875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 137.34284375
transcript.pyannote[32].end 138.74346875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 139.73909375
transcript.pyannote[33].end 141.96659375
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 140.21159375
transcript.pyannote[34].end 140.73471875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 142.37159375
transcript.pyannote[35].end 147.02909375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 143.51909375
transcript.pyannote[36].end 145.78034375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 147.21471875
transcript.pyannote[37].end 153.28971875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 151.43346875
transcript.pyannote[38].end 161.96346875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 153.94784375
transcript.pyannote[39].end 155.46659375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 161.11971875
transcript.pyannote[40].end 164.86596875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 162.60471875
transcript.pyannote[41].end 163.48221875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 164.51159375
transcript.pyannote[42].end 170.53596875
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 166.84034375
transcript.pyannote[43].end 168.15659375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 172.52721875
transcript.pyannote[44].end 172.93221875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 173.84346875
transcript.pyannote[45].end 174.95721875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 175.41284375
transcript.pyannote[46].end 178.80471875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 179.05784375
transcript.pyannote[47].end 181.03221875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 181.03221875
transcript.pyannote[48].end 197.18159375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 183.17534375
transcript.pyannote[49].end 183.36096875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 196.94534375
transcript.pyannote[50].end 209.36534375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 200.80971875
transcript.pyannote[51].end 201.88971875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 207.40784375
transcript.pyannote[52].end 207.47534375
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 207.50909375
transcript.pyannote[53].end 207.98159375
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 211.33971875
transcript.pyannote[54].end 211.93034375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 211.93034375
transcript.pyannote[55].end 211.94721875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 212.06534375
transcript.pyannote[56].end 221.73471875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 221.86971875
transcript.pyannote[57].end 223.47284375
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 221.92034375
transcript.pyannote[58].end 222.35909375
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 223.81034375
transcript.pyannote[59].end 224.14784375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 224.73846875
transcript.pyannote[60].end 228.46784375
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 228.29909375
transcript.pyannote[61].end 239.20034375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 235.48784375
transcript.pyannote[62].end 236.26409375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 237.37784375
transcript.pyannote[63].end 241.47846875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 241.59659375
transcript.pyannote[64].end 241.61346875
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 241.61346875
transcript.pyannote[65].end 245.27534375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 244.97159375
transcript.pyannote[66].end 250.77659375
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 246.52409375
transcript.pyannote[67].end 246.70971875
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 249.57846875
transcript.pyannote[68].end 249.89909375
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 250.27034375
transcript.pyannote[69].end 250.43909375
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 250.48971875
transcript.pyannote[70].end 250.52346875
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 250.77659375
transcript.pyannote[71].end 250.86096875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 250.86096875
transcript.pyannote[72].end 250.91159375
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 250.91159375
transcript.pyannote[73].end 250.92846875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 250.92846875
transcript.pyannote[74].end 256.86846875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 257.83034375
transcript.pyannote[75].end 258.65721875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 261.77909375
transcript.pyannote[76].end 262.43721875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 262.89284375
transcript.pyannote[77].end 263.36534375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 263.92221875
transcript.pyannote[78].end 265.28909375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 265.67721875
transcript.pyannote[79].end 291.14159375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 291.19221875
transcript.pyannote[80].end 293.63909375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 293.77409375
transcript.pyannote[81].end 295.56284375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 295.74846875
transcript.pyannote[82].end 303.78096875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 303.96659375
transcript.pyannote[83].end 308.91096875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 309.13034375
transcript.pyannote[84].end 311.35784375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 311.72909375
transcript.pyannote[85].end 314.29409375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 314.42909375
transcript.pyannote[86].end 316.97721875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 317.14596875
transcript.pyannote[87].end 333.93659375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 334.22346875
transcript.pyannote[88].end 335.48909375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 335.65784375
transcript.pyannote[89].end 337.75034375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 337.88534375
transcript.pyannote[90].end 339.55596875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 339.74159375
transcript.pyannote[91].end 341.98596875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 342.27284375
transcript.pyannote[92].end 343.65659375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 343.82534375
transcript.pyannote[93].end 346.52534375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 346.74471875
transcript.pyannote[94].end 351.63846875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 351.85784375
transcript.pyannote[95].end 352.97159375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 353.08971875
transcript.pyannote[96].end 354.91221875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 355.30034375
transcript.pyannote[97].end 363.13034375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 363.45096875
transcript.pyannote[98].end 368.49659375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 369.35721875
transcript.pyannote[99].end 375.90471875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 375.93846875
transcript.pyannote[100].end 396.37409375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 396.44159375
transcript.pyannote[101].end 399.36096875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 398.65221875
transcript.pyannote[102].end 399.74909375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 400.55909375
transcript.pyannote[103].end 400.98096875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 404.38971875
transcript.pyannote[104].end 404.96346875
transcript.whisperx[0].start 1.341
transcript.whisperx[0].end 29.922
transcript.whisperx[0].text 謝謝我還是有請警政署消防署還有那個我們海委會次長代理署長代理海委會次長跟署長兩位部長部長跟主委可以先聽一下就好那主要其實今天我們安排這個警察消防海巡移民
transcript.whisperx[1].start 30.529
transcript.whisperx[1].end 59.943
transcript.whisperx[1].text 及空勤總隊人員圍牢津貼的報告裡面其實三位署長一定都是站在可以幫自己的同仁弟兄在外面打拼尤其是外勤的部分如果可以增加的話其實民進黨政府在2023年針對尤其警察人員的操勤加班費已經增加了從16000元增加到19000元當然看縣市政府
transcript.whisperx[2].start 60.336
transcript.whisperx[2].end 89.22
transcript.whisperx[2].text 他看怎麼樣去發放去年張署長上任以後那賴總統那保安行政院也支持警察人員的零到六點深夜時段但是那個時候我覺得公文書上是有一點點寫得太細寫駐地外勤務那駐地外勤務所以只有給予可能一樣是外勤人員但是是
transcript.whisperx[3].start 89.881
transcript.whisperx[3].end 110.851
transcript.whisperx[3].text 可能出去巡邏的這些多了一個小時一百塊不是加班費加班費本來就有是另外再加幾這個一百塊一個小時施行下來之後署長也有發現也有聽到一些聲音那整個派出所整個巡邏員警整個不管是交大也好等等其實他們深夜也都在執勤
transcript.whisperx[4].start 111.618
transcript.whisperx[4].end 128.452
transcript.whisperx[4].text 我們今天討論的是不是就是要把這一些放進來是的沒錯就是希望把這個零到六的值班跟背景放進來那我在這邊表達支持啦那也希望署長把這一個署長剛剛張宏祿委員問到一個110勤子中心算不算
transcript.whisperx[5].start 129.86
transcript.whisperx[5].end 152.591
transcript.whisperx[5].text 110不算 它是內勤的它的編制就屬於內勤剛剛我講的那個 包括派鎖 偵察隊那個是外勤110是不是半夜都在接電話二小時 他們是採輪班但是它那個狀況就跟外面執行這個執行勤務的這個不太相同工作的性質不同本來就是輪班制跟外勤
transcript.whisperx[6].start 155.512
transcript.whisperx[6].end 170.343
transcript.whisperx[6].text 外勤你坐在派出所的櫃台裡面其實也算他也是有很多有遭受到攻擊 剛剛有很多委員問我們劃定的也是非常清楚很清楚那其實不一樣的是來我問消防署委員好那消防呢消防的0到6點署長有什麼看法認為要不要增加
transcript.whisperx[7].start 181.249
transcript.whisperx[7].end 209.143
transcript.whisperx[7].text 剛才委員講到119這邊的勤務119的勤務真的是要面對這個問題如果說我們可以爭取到這個部分事實上119的指揮中心跟119的指揮中心這個部分我們會來朝這方向來爭取消防署是希望來爭取的張署長消防署是希望來爭取這邊也請人事總署要斟酌一下我們警消的這些辛苦真的也是要斟酌一下來我請教一下海巡署
transcript.whisperx[8].start 212.47
transcript.whisperx[8].end 222.726
transcript.whisperx[8].text 市長那你海巡的狀況其實跟警政跟消防又不一樣他只要派駐在不管是艦艇上又或者是在碼頭
transcript.whisperx[9].start 224.83
transcript.whisperx[9].end 240.216
transcript.whisperx[9].text 有沒有這些相關的這些0到6點必須要加勤的有 我們現在在0到6點部分我們現在是外勤隊的部分我們現在主軸是在我們的艦隊分屬部分艦隊分屬那大概有1739位所以是艦隊嘛那這些住在這個岸邊的
transcript.whisperx[10].start 241.833
transcript.whisperx[10].end 258.747
transcript.whisperx[10].text 那個是暗巡那是軍職部分軍職部分是不適用軍職部分沒有好謝謝所以我們還是要爭取嘛海巡的部分好謝謝其實人事總處這邊人事總處其實看國家的財政那行政部門這邊其實包含海巡警政消防
transcript.whisperx[11].start 270.925
transcript.whisperx[11].end 298.276
transcript.whisperx[11].text 其實大家都在爭取這些外勤尤其是保衛人民的這些治安安全或人民財產安全的這些的權益那我們希望替他們爭取之餘呢人事總署這邊其實就是會睜大眼睛仔細看大家到底這個辛苦的程度有沒有一樣而給予相關的這些家籍啦這個我們也希望人事總署這邊可以看到這些外勤人員真正的辛苦
transcript.whisperx[12].start 298.749
transcript.whisperx[12].end 323.844
transcript.whisperx[12].text 那可以真正的落實給予包含警政署消防署還有這個海巡署相關這些外勤人員的這些津貼可以除了這些原本的這些加班費夜勤之外那目前推動的這個零到六點加擠100塊每個小時加擠100塊的這個制度我希望人事總署這邊可以聽取這個消防
transcript.whisperx[13].start 324.42
transcript.whisperx[13].end 346.05
transcript.whisperx[13].text 警政還有海巡的這些相關的意見來給予加急當然國家財政有剩餘的時候大家都可以來討論怎麼樣去增加我們這些包含公務人員可能待遇可以提升的這些權利也有人會主張說國家有剩餘的時候要普發也有人會主張說
transcript.whisperx[14].start 346.943
transcript.whisperx[14].end 368.231
transcript.whisperx[14].text 國家有剩餘的時候要投資國防也有人會主張說國家有剩餘的時候要投資產業要投資相關可以包含這些我們的電子產業相關的這一些都有但是現在確實是我們是可以好好的來討論國家有剩餘的時候這一些我們這一些線上正在
transcript.whisperx[15].start 369.4
transcript.whisperx[15].end 392.801
transcript.whisperx[15].text 工作的公務人員怎麼樣提升他們的這些待遇來 人事總署 請你回應一下是 好 謝謝委員的詮詢那針對今天這個議題我們會看內政部到時候提出的具體方案那就針對我們的這些內勤 背勤或者是在駐地外工作的人員他們工作的業務性質的危勞程度
transcript.whisperx[16].start 396.925
transcript.whisperx[16].end 397.486
transcript.whisperx[16].text 會同相關機關來審慎評估好謝謝