| IVOD_ID |
164279 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164279 |
| 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 |
2025-10-16T10:25:02+08:00 |
| 結束時間 |
2025-10-16T10:32:01+08:00 |
| 影片長度 |
00:06:59 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6022c9f6d63255a3741ada5af6f774b4a3b07049f443442ad77ab6ef5aede8981a06a885b33e9f7b5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
張宏陸 |
| 委員發言時間 |
10:25:02 - 10:32:01 |
| 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 |
0.03096875 |
| transcript.pyannote[0].end |
1.02659375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
2.14034375 |
| transcript.pyannote[1].end |
3.33846875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
6.76409375 |
| transcript.pyannote[2].end |
7.32096875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
7.97909375 |
| transcript.pyannote[3].end |
8.83971875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
9.70034375 |
| transcript.pyannote[4].end |
14.34096875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
14.12159375 |
| transcript.pyannote[5].end |
14.89784375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
15.15096875 |
| transcript.pyannote[6].end |
16.95659375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
17.34471875 |
| transcript.pyannote[7].end |
27.31784375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
27.82409375 |
| transcript.pyannote[8].end |
29.07284375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
29.61284375 |
| transcript.pyannote[9].end |
34.45596875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
35.29971875 |
| transcript.pyannote[10].end |
39.26534375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
38.32034375 |
| transcript.pyannote[11].end |
41.10471875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
41.10471875 |
| transcript.pyannote[12].end |
41.42534375 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
41.42534375 |
| transcript.pyannote[13].end |
43.02846875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
43.02846875 |
| transcript.pyannote[14].end |
43.16346875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
43.16346875 |
| transcript.pyannote[15].end |
43.46721875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
43.46721875 |
| transcript.pyannote[16].end |
43.66971875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
43.66971875 |
| transcript.pyannote[17].end |
44.02409375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
44.02409375 |
| transcript.pyannote[18].end |
54.73971875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
54.73971875 |
| transcript.pyannote[19].end |
54.87471875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
54.87471875 |
| transcript.pyannote[20].end |
55.65096875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
55.65096875 |
| transcript.pyannote[21].end |
59.83596875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
56.07284375 |
| transcript.pyannote[22].end |
56.14034375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
59.98784375 |
| transcript.pyannote[23].end |
69.21846875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
60.03846875 |
| transcript.pyannote[24].end |
60.47721875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
69.75846875 |
| transcript.pyannote[25].end |
81.92534375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
82.68471875 |
| transcript.pyannote[26].end |
86.05971875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
86.46471875 |
| transcript.pyannote[27].end |
93.36659375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
87.03846875 |
| transcript.pyannote[28].end |
88.15221875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
94.34534375 |
| transcript.pyannote[29].end |
95.91471875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
96.08346875 |
| transcript.pyannote[30].end |
103.03596875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
103.33971875 |
| transcript.pyannote[31].end |
107.69346875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
108.99284375 |
| transcript.pyannote[32].end |
110.74784375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
111.45659375 |
| transcript.pyannote[33].end |
113.19471875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
113.65034375 |
| transcript.pyannote[34].end |
114.29159375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
114.61221875 |
| transcript.pyannote[35].end |
116.73846875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
117.12659375 |
| transcript.pyannote[36].end |
120.85596875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
120.45096875 |
| transcript.pyannote[37].end |
121.69971875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
121.95284375 |
| transcript.pyannote[38].end |
130.91346875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
125.05784375 |
| transcript.pyannote[39].end |
125.51346875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
131.09909375 |
| transcript.pyannote[40].end |
134.10284375 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
134.32221875 |
| transcript.pyannote[41].end |
150.16784375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
146.65784375 |
| transcript.pyannote[42].end |
146.87721875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
151.24784375 |
| transcript.pyannote[43].end |
153.44159375 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
154.52159375 |
| transcript.pyannote[44].end |
155.33159375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
156.39471875 |
| transcript.pyannote[45].end |
158.74034375 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
159.19596875 |
| transcript.pyannote[46].end |
160.02284375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
160.57971875 |
| transcript.pyannote[47].end |
167.76846875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
168.67971875 |
| transcript.pyannote[48].end |
169.67534375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
170.31659375 |
| transcript.pyannote[49].end |
175.91909375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
175.91909375 |
| transcript.pyannote[50].end |
176.10471875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
176.10471875 |
| transcript.pyannote[51].end |
176.20596875 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
176.52659375 |
| transcript.pyannote[52].end |
179.91846875 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
177.03284375 |
| transcript.pyannote[53].end |
177.31971875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
180.66096875 |
| transcript.pyannote[54].end |
183.96846875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
184.32284375 |
| transcript.pyannote[55].end |
187.44471875 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
187.88346875 |
| transcript.pyannote[56].end |
195.08909375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
195.56159375 |
| transcript.pyannote[57].end |
196.11846875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
196.18596875 |
| transcript.pyannote[58].end |
196.65846875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
196.67534375 |
| transcript.pyannote[59].end |
206.22659375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
204.87659375 |
| transcript.pyannote[60].end |
204.97784375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
205.46721875 |
| transcript.pyannote[61].end |
206.83409375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
206.54721875 |
| transcript.pyannote[62].end |
219.81096875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
220.11471875 |
| transcript.pyannote[63].end |
220.55346875 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
221.19471875 |
| transcript.pyannote[64].end |
224.68784375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
225.37971875 |
| transcript.pyannote[65].end |
228.97409375 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
229.93596875 |
| transcript.pyannote[66].end |
231.91034375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
233.26034375 |
| transcript.pyannote[67].end |
234.18846875 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
234.44159375 |
| transcript.pyannote[68].end |
234.89721875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
235.31909375 |
| transcript.pyannote[69].end |
236.23034375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
237.02346875 |
| transcript.pyannote[70].end |
239.67284375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
240.17909375 |
| transcript.pyannote[71].end |
242.87909375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
240.51659375 |
| transcript.pyannote[72].end |
240.65159375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
243.41909375 |
| transcript.pyannote[73].end |
244.44846875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
245.07284375 |
| transcript.pyannote[74].end |
246.65909375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
247.46909375 |
| transcript.pyannote[75].end |
252.36284375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
248.17784375 |
| transcript.pyannote[76].end |
252.48096875 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
252.73409375 |
| transcript.pyannote[77].end |
253.39221875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
254.40471875 |
| transcript.pyannote[78].end |
258.87659375 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
259.31534375 |
| transcript.pyannote[79].end |
269.55846875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
269.79471875 |
| transcript.pyannote[80].end |
271.04346875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
271.04346875 |
| transcript.pyannote[81].end |
278.11409375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
279.14346875 |
| transcript.pyannote[82].end |
281.10096875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
281.48909375 |
| transcript.pyannote[83].end |
282.99096875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
283.34534375 |
| transcript.pyannote[84].end |
286.29846875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
286.51784375 |
| transcript.pyannote[85].end |
292.98096875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
293.28471875 |
| transcript.pyannote[86].end |
296.37284375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
296.37284375 |
| transcript.pyannote[87].end |
296.40659375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
296.87909375 |
| transcript.pyannote[88].end |
303.54471875 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
305.48534375 |
| transcript.pyannote[89].end |
308.52284375 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
309.99096875 |
| transcript.pyannote[90].end |
311.45909375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
311.91471875 |
| transcript.pyannote[91].end |
312.79221875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
314.34471875 |
| transcript.pyannote[92].end |
316.87596875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
317.41596875 |
| transcript.pyannote[93].end |
324.77346875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
325.48221875 |
| transcript.pyannote[94].end |
326.69721875 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
326.88284375 |
| transcript.pyannote[95].end |
331.99596875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
332.18159375 |
| transcript.pyannote[96].end |
335.48909375 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
336.31596875 |
| transcript.pyannote[97].end |
338.54346875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
340.45034375 |
| transcript.pyannote[98].end |
341.95221875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
341.95221875 |
| transcript.pyannote[99].end |
346.67721875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
342.45846875 |
| transcript.pyannote[100].end |
343.33596875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
347.08221875 |
| transcript.pyannote[101].end |
349.19159375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
349.56284375 |
| transcript.pyannote[102].end |
355.53659375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
355.70534375 |
| transcript.pyannote[103].end |
356.36346875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
356.68409375 |
| transcript.pyannote[104].end |
360.36284375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
361.08846875 |
| transcript.pyannote[105].end |
364.02471875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
364.05846875 |
| transcript.pyannote[106].end |
377.96346875 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
377.96346875 |
| transcript.pyannote[107].end |
379.29659375 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
379.85346875 |
| transcript.pyannote[108].end |
381.57471875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
381.96284375 |
| transcript.pyannote[109].end |
384.51096875 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
384.86534375 |
| transcript.pyannote[110].end |
385.62471875 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
386.35034375 |
| transcript.pyannote[111].end |
387.07596875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
387.71721875 |
| transcript.pyannote[112].end |
390.04596875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
390.46784375 |
| transcript.pyannote[113].end |
392.77971875 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
393.13409375 |
| transcript.pyannote[114].end |
401.80784375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
401.36909375 |
| transcript.pyannote[115].end |
402.34784375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
402.34784375 |
| transcript.pyannote[116].end |
402.65159375 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
403.09034375 |
| transcript.pyannote[117].end |
403.54596875 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
405.04784375 |
| transcript.pyannote[118].end |
413.90721875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
413.40096875 |
| transcript.pyannote[119].end |
414.73409375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
414.73409375 |
| transcript.pyannote[120].end |
416.05034375 |
| transcript.whisperx[0].start |
2.67 |
| transcript.whisperx[0].end |
26.898 |
| transcript.whisperx[0].text |
請錦鎮署長錦鎮署長署長委員好署長之前北車發生的這個案子你應該知道了知道我想就是說北車這麼熱鬧的地方發生這種事情絕對會造成人民的一個恐慌然後也覺得怎麼可能在這麼熱鬧的地方會發生 |
| transcript.whisperx[1].start |
27.918 |
| transcript.whisperx[1].end |
43.846 |
| transcript.whisperx[1].text |
那我覺得在那邊如果有公權力去制止的應該也是只有警察吧對 應該是如果警察發現第一時間一定是能夠馬上處理我說有公權力制止應該是警察吧保全可能也可以制止 |
| transcript.whisperx[2].start |
44.54 |
| transcript.whisperx[2].end |
53.449 |
| transcript.whisperx[2].text |
包括就是台鐵的戰方或保全警察這三份都可以來處理那甚至如果熱心的民眾發現這個狀況也是可以來協助當然啦我剛講得很清楚的公權力三個字嘛對不對我想請問一下啦當然啦警察在那邊巡邏在那邊不可能24小時啦 |
| transcript.whisperx[3].start |
70.185 |
| transcript.whisperx[3].end |
81.7 |
| transcript.whisperx[3].text |
我的意思是二十四小時沒有辦法巡邏到每一個地步每一個角落那在這一次的這個事情當中我們有沒有該檢討的地方 |
| transcript.whisperx[4].start |
82.731 |
| transcript.whisperx[4].end |
109.801 |
| transcript.whisperx[4].text |
那我想就是第一個部分就是在勤務的部署部分在更加的綿密見景率包括就是跟台鐵的站方跟保全三方面的一個結合把這個死角盡量減少這個死角還有這個見景率這第一個那第二部分仍然是就是比較是基本的問題就是要解決北車那裡的遊民問題 |
| transcript.whisperx[5].start |
112.243 |
| transcript.whisperx[5].end |
137.92 |
| transcript.whisperx[5].text |
這個部分大概就是發生這種狀況因為我們看到這個北側那個地方有時候大概都是有一些這個狀況產生署長署長游敏什麼的已經在那邊很久了今天再把這個問題推給游敏我覺得我如果是市民我聽不下去這種解釋你有書師有什麼就是要檢討未來如何彌補這樣 |
| transcript.whisperx[6].start |
139.894 |
| transcript.whisperx[6].end |
152.577 |
| transcript.whisperx[6].text |
對 你連在台北車站都會這樣子我相信如果再發生一次大家對政府的信心啦是會差很多啦所以你們要去檢討這個舒適那問題回來了我們今天在討論這個危勞津貼我跟你講我們以北車這個例子啦如果你未來要增加這個見景率這個什麼的那他們 |
| transcript.whisperx[7].start |
168.717 |
| transcript.whisperx[7].end |
183.669 |
| transcript.whisperx[7].text |
台北火車站 幾乎應該要24小時去巡邏都有這個人排班吧 是對不對 半夜嘛 對不對那他們這麼辛苦又要處理這麼多事情 |
| transcript.whisperx[8].start |
184.429 |
| transcript.whisperx[8].end |
189.992 |
| transcript.whisperx[8].text |
那不管怎樣只要是在外勤單位的這個錢是不是就全給就好啦對 應該是應該是嘛 對我就是舉這個例子嘛對不對 對那更不用說其他的單位嘛是 對吧所以該照顧就照顧啊 |
| transcript.whisperx[9].start |
204.179 |
| transcript.whisperx[9].end |
227.268 |
| transcript.whisperx[9].text |
是不是 是的沒有錯嘛 沒有錯所以這個問題大家其實討論了很多啦我就舉這個例子大家應該就很清楚人家的你又要見景率高又要不要發生事情那該給的津貼這個我覺得就給啦就大家也不用再說太多了吧是 謝謝委員是嗎 是的好 那再來我想請問署長 |
| transcript.whisperx[10].start |
233.305 |
| transcript.whisperx[10].end |
246.692 |
| transcript.whisperx[10].text |
我們現在 鐵路警察他是負責管轄到什麼地方包括所有的台鐵跟高鐵都有那捷運呢捷運是縣市政府的縣市政府 我知道 縣市政府那來了 |
| transcript.whisperx[11].start |
254.471 |
| transcript.whisperx[11].end |
268.563 |
| transcript.whisperx[11].text |
我如果在台北車站裡面我市民我會知道哪個是是地方政府的警察還是你中央的警察還是如果說我剛好在這個交叉點我到底要找誰我都在台北車站裡面 |
| transcript.whisperx[12].start |
269.924 |
| transcript.whisperx[12].end |
295.8 |
| transcript.whisperx[12].text |
他是轉運站那我想最直接第一個時間點如果說當然那邊有值班的拍手不然第一個時間就是110110的報案是最快的也就是說你當場不知道那個地方的拍手在什麼地方他對第一個直接如果有發生這些的狀況第一時間就是反應地是110打完馬上就會有指派有這一些的警察會到場來做一個處置 |
| transcript.whisperx[13].start |
297.466 |
| transcript.whisperx[13].end |
326.361 |
| transcript.whisperx[13].text |
對啦 這是第一領啦如果第一領當然都沒有這些問題啦但你有沒有想過一件事情我們人家國外有什麼其實沒有這麼複雜你只要捷運是不是軌道台鐵跟高鐵是不是也都是軌道對嘛那我們為什麼不來研究一下我們全台灣就成立一個軌道的警察局 |
| transcript.whisperx[14].start |
327.354 |
| transcript.whisperx[14].end |
337.857 |
| transcript.whisperx[14].text |
你現在是公路警察隊嘛公路警察局嘛對不對那我們來成立一個只要是全台灣的就是軌道的就是都這個專責機構來負責我們來研立啦你覺得如果以後這樣子的話會不會比較比較專責比較那個 |
| transcript.whisperx[15].start |
349.622 |
| transcript.whisperx[15].end |
378.844 |
| transcript.whisperx[15].text |
因為如果說是台鐵高鐵的這個狀況這看起來就是比較能夠統一性那至於捷運有類似軌道這個是這是遍布在各縣市裡面的市區的這個狀況就可能就是跟這個台鐵跟高鐵的這種南北向的這個狀況比較不一樣所以我們倒是可以來研究看看這方面的可行性我覺得你研究國外也不是沒有這個例子 |
| transcript.whisperx[16].start |
380.049 |
| transcript.whisperx[16].end |
401.86 |
| transcript.whisperx[16].text |
就士權單一然後統轄領域也都單一反正全部兵馬在你手上看你怎麼用而已啊也才不會像現在這麼混亂啦對不對你整個一個軌道警察局你就編制充足然後該怎麼樣就怎麼樣我覺得你可以思考一下啦好謝謝謝委員好那 |
| transcript.whisperx[17].start |
405.427 |
| transcript.whisperx[17].end |
413.838 |
| transcript.whisperx[17].text |
剛剛所說的這個危老的這個津貼如果署長都已經這樣講了我覺得應該大家就有共識了我們就朝這個方向來努力就好了謝謝委員謝謝好 謝謝謝謝委員 |