video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4b9db3dc7042177aac6f60543c52cb9844e208bd6b14da82e54b9bd157483afa470218920b9c28b85ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
何欣純 |
委員發言時間 |
10:10:10 - 10:22:07 |
影片長度 |
717 |
會議時間 |
2024-11-27T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期交通委員會第11次全體委員會議(事由:一、審查114年度中央政府總預算案關於交通部單位預算。
二、審查114年度中央政府總預算案關於交通部中央氣象署單位預算。
三、審查114年度中央政府總預算案關於交通部公路局及所屬單位預算。
四、審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金─國道公路建設管理基金分預算。
【僅進行詢答;委員預算提案於12月12日中午12時前截止收件】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
1.58346875 |
transcript.pyannote[0].end |
5.00909375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
5.39721875 |
transcript.pyannote[1].end |
7.47284375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
8.16471875 |
transcript.pyannote[2].end |
9.76784375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
12.94034375 |
transcript.pyannote[3].end |
13.42971875 |
transcript.pyannote[4].speaker |
SPEAKER_03 |
transcript.pyannote[4].start |
13.68284375 |
transcript.pyannote[4].end |
14.37471875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
14.67846875 |
transcript.pyannote[5].end |
18.18846875 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
18.18846875 |
transcript.pyannote[6].end |
18.55971875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
19.35284375 |
transcript.pyannote[7].end |
20.90534375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
21.27659375 |
transcript.pyannote[8].end |
23.50409375 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
23.92596875 |
transcript.pyannote[9].end |
24.14534375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
24.53346875 |
transcript.pyannote[10].end |
25.79909375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
26.23784375 |
transcript.pyannote[11].end |
27.43596875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
27.84096875 |
transcript.pyannote[12].end |
28.80284375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
29.32596875 |
transcript.pyannote[13].end |
31.13159375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
31.19909375 |
transcript.pyannote[14].end |
33.02159375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
33.25784375 |
transcript.pyannote[15].end |
41.05409375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
41.10471875 |
transcript.pyannote[16].end |
42.26909375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
43.36596875 |
transcript.pyannote[17].end |
49.37346875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
49.72784375 |
transcript.pyannote[18].end |
60.88221875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
61.28721875 |
transcript.pyannote[19].end |
62.29971875 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
62.51909375 |
transcript.pyannote[20].end |
63.31221875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
63.53159375 |
transcript.pyannote[21].end |
64.76346875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
65.40471875 |
transcript.pyannote[22].end |
67.64909375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
68.57721875 |
transcript.pyannote[23].end |
72.71159375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
73.42034375 |
transcript.pyannote[24].end |
74.77034375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
75.27659375 |
transcript.pyannote[25].end |
77.26784375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
77.85846875 |
transcript.pyannote[26].end |
78.80346875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
79.37721875 |
transcript.pyannote[27].end |
81.30096875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
82.53284375 |
transcript.pyannote[28].end |
85.95846875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
86.49846875 |
transcript.pyannote[29].end |
90.16034375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
91.13909375 |
transcript.pyannote[30].end |
94.12596875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
95.00346875 |
transcript.pyannote[31].end |
96.55596875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
97.75409375 |
transcript.pyannote[32].end |
100.72409375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
101.14596875 |
transcript.pyannote[33].end |
103.01909375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
103.69409375 |
transcript.pyannote[34].end |
105.43221875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
105.90471875 |
transcript.pyannote[35].end |
109.21221875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
110.61284375 |
transcript.pyannote[36].end |
111.23721875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
111.77721875 |
transcript.pyannote[37].end |
112.82346875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
113.59971875 |
transcript.pyannote[38].end |
115.11846875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
115.67534375 |
transcript.pyannote[39].end |
122.86409375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
123.25221875 |
transcript.pyannote[40].end |
127.13346875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
127.94346875 |
transcript.pyannote[41].end |
134.32221875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
134.52471875 |
transcript.pyannote[42].end |
139.18221875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
140.53221875 |
transcript.pyannote[43].end |
141.13971875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
141.76409375 |
transcript.pyannote[44].end |
142.81034375 |
transcript.pyannote[45].speaker |
SPEAKER_03 |
transcript.pyannote[45].start |
141.79784375 |
transcript.pyannote[45].end |
142.50659375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
143.21534375 |
transcript.pyannote[46].end |
143.35034375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
143.53596875 |
transcript.pyannote[47].end |
144.91971875 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
145.22346875 |
transcript.pyannote[48].end |
165.35534375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
162.50346875 |
transcript.pyannote[49].end |
166.57034375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
165.35534375 |
transcript.pyannote[50].end |
165.38909375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
167.09346875 |
transcript.pyannote[51].end |
168.59534375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
168.76409375 |
transcript.pyannote[52].end |
176.45909375 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
176.81346875 |
transcript.pyannote[53].end |
181.21784375 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
181.96034375 |
transcript.pyannote[54].end |
185.47034375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
184.17096875 |
transcript.pyannote[55].end |
185.35221875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
185.80784375 |
transcript.pyannote[56].end |
188.42346875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
187.81596875 |
transcript.pyannote[57].end |
188.98034375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
189.30096875 |
transcript.pyannote[58].end |
191.10659375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
191.15721875 |
transcript.pyannote[59].end |
194.07659375 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
194.46471875 |
transcript.pyannote[60].end |
205.01159375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
205.11284375 |
transcript.pyannote[61].end |
215.32221875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
215.94659375 |
transcript.pyannote[62].end |
229.93596875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
231.97784375 |
transcript.pyannote[63].end |
239.99346875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
241.51221875 |
transcript.pyannote[64].end |
242.13659375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
242.60909375 |
transcript.pyannote[65].end |
252.37971875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
253.35846875 |
transcript.pyannote[66].end |
254.40471875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
254.74221875 |
transcript.pyannote[67].end |
255.85596875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
256.91909375 |
transcript.pyannote[68].end |
260.24346875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
262.50471875 |
transcript.pyannote[69].end |
265.17096875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
265.76159375 |
transcript.pyannote[70].end |
267.12846875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
267.60096875 |
transcript.pyannote[71].end |
268.02284375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
268.29284375 |
transcript.pyannote[72].end |
269.15346875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
271.04346875 |
transcript.pyannote[73].end |
271.49909375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
271.90409375 |
transcript.pyannote[74].end |
276.81471875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
276.69659375 |
transcript.pyannote[75].end |
279.70034375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
280.05471875 |
transcript.pyannote[76].end |
281.69159375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
281.84346875 |
transcript.pyannote[77].end |
283.85159375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
285.45471875 |
transcript.pyannote[78].end |
287.66534375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
288.37409375 |
transcript.pyannote[79].end |
289.74096875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
290.46659375 |
transcript.pyannote[80].end |
294.21284375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
295.95096875 |
transcript.pyannote[81].end |
298.21221875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
297.89159375 |
transcript.pyannote[82].end |
298.80284375 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
299.62971875 |
transcript.pyannote[83].end |
301.63784375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
301.62096875 |
transcript.pyannote[84].end |
304.57409375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
306.41346875 |
transcript.pyannote[85].end |
309.24846875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
309.34971875 |
transcript.pyannote[86].end |
319.93034375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
321.28034375 |
transcript.pyannote[87].end |
322.09034375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
322.69784375 |
transcript.pyannote[88].end |
324.57096875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
325.70159375 |
transcript.pyannote[89].end |
335.97846875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
336.97409375 |
transcript.pyannote[90].end |
337.86846875 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
339.15096875 |
transcript.pyannote[91].end |
345.00659375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
343.90971875 |
transcript.pyannote[92].end |
349.69784375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
350.37284375 |
transcript.pyannote[93].end |
355.87409375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
357.74721875 |
transcript.pyannote[94].end |
361.35846875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
357.79784375 |
transcript.pyannote[95].end |
358.06784375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
363.70409375 |
transcript.pyannote[96].end |
366.30284375 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
368.05784375 |
transcript.pyannote[97].end |
368.86784375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
368.83409375 |
transcript.pyannote[98].end |
370.28534375 |
transcript.pyannote[99].speaker |
SPEAKER_03 |
transcript.pyannote[99].start |
370.15034375 |
transcript.pyannote[99].end |
383.90346875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
380.83221875 |
transcript.pyannote[100].end |
382.67159375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
383.86971875 |
transcript.pyannote[101].end |
385.70909375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
386.55284375 |
transcript.pyannote[102].end |
391.05846875 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
389.89409375 |
transcript.pyannote[103].end |
390.13034375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
392.64471875 |
transcript.pyannote[104].end |
395.31096875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
395.88471875 |
transcript.pyannote[105].end |
398.36534375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
399.09096875 |
transcript.pyannote[106].end |
406.06034375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
406.71846875 |
transcript.pyannote[107].end |
410.59971875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
411.02159375 |
transcript.pyannote[108].end |
420.48846875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
421.24784375 |
transcript.pyannote[109].end |
421.78784375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
422.61471875 |
transcript.pyannote[110].end |
423.66096875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
424.94346875 |
transcript.pyannote[111].end |
426.14159375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
427.35659375 |
transcript.pyannote[112].end |
427.81221875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
428.31846875 |
transcript.pyannote[113].end |
433.26284375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
433.73534375 |
transcript.pyannote[114].end |
436.80659375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
437.34659375 |
transcript.pyannote[115].end |
440.38409375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
441.32909375 |
transcript.pyannote[116].end |
441.93659375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
443.50596875 |
transcript.pyannote[117].end |
449.02409375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
449.46284375 |
transcript.pyannote[118].end |
451.03221875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
451.35284375 |
transcript.pyannote[119].end |
452.48346875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
453.59721875 |
transcript.pyannote[120].end |
456.43221875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
457.25909375 |
transcript.pyannote[121].end |
457.63034375 |
transcript.pyannote[122].speaker |
SPEAKER_03 |
transcript.pyannote[122].start |
458.06909375 |
transcript.pyannote[122].end |
465.47721875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
463.58721875 |
transcript.pyannote[123].end |
465.00471875 |
transcript.pyannote[124].speaker |
SPEAKER_03 |
transcript.pyannote[124].start |
465.96659375 |
transcript.pyannote[124].end |
496.98284375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
490.78971875 |
transcript.pyannote[125].end |
490.80659375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
490.80659375 |
transcript.pyannote[126].end |
491.83596875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
497.40471875 |
transcript.pyannote[127].end |
498.19784375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
498.97409375 |
transcript.pyannote[128].end |
501.74159375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
502.39971875 |
transcript.pyannote[129].end |
503.34471875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
503.85096875 |
transcript.pyannote[130].end |
506.88846875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
507.66471875 |
transcript.pyannote[131].end |
513.52034375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
514.07721875 |
transcript.pyannote[132].end |
518.44784375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
518.68409375 |
transcript.pyannote[133].end |
519.59534375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
520.38846875 |
transcript.pyannote[134].end |
522.98721875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
521.95784375 |
transcript.pyannote[135].end |
522.02534375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
522.16034375 |
transcript.pyannote[136].end |
522.32909375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
523.34159375 |
transcript.pyannote[137].end |
524.50596875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
524.82659375 |
transcript.pyannote[138].end |
526.15971875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
526.36221875 |
transcript.pyannote[139].end |
527.96534375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
528.03284375 |
transcript.pyannote[140].end |
530.05784375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
530.26034375 |
transcript.pyannote[141].end |
530.53034375 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
530.53034375 |
transcript.pyannote[142].end |
530.54721875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
530.81721875 |
transcript.pyannote[143].end |
532.84221875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
533.23034375 |
transcript.pyannote[144].end |
535.98096875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
536.43659375 |
transcript.pyannote[145].end |
544.33409375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
544.51971875 |
transcript.pyannote[146].end |
546.32534375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
546.71346875 |
transcript.pyannote[147].end |
548.04659375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
548.43471875 |
transcript.pyannote[148].end |
549.09284375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
550.47659375 |
transcript.pyannote[149].end |
550.99971875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
551.35409375 |
transcript.pyannote[150].end |
551.91096875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
552.97409375 |
transcript.pyannote[151].end |
554.22284375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
554.72909375 |
transcript.pyannote[152].end |
555.79221875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
556.12971875 |
transcript.pyannote[153].end |
557.59784375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
558.07034375 |
transcript.pyannote[154].end |
559.69034375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
560.19659375 |
transcript.pyannote[155].end |
561.90096875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
562.25534375 |
transcript.pyannote[156].end |
563.87534375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
564.92159375 |
transcript.pyannote[157].end |
567.26721875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
567.53721875 |
transcript.pyannote[158].end |
568.85346875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
569.98409375 |
transcript.pyannote[159].end |
572.85284375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
573.25784375 |
transcript.pyannote[160].end |
574.75971875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
575.19846875 |
transcript.pyannote[161].end |
597.37221875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
597.70971875 |
transcript.pyannote[162].end |
606.23159375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
607.61534375 |
transcript.pyannote[163].end |
616.03596875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
616.28909375 |
transcript.pyannote[164].end |
623.22471875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
624.16971875 |
transcript.pyannote[165].end |
636.04971875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
637.14659375 |
transcript.pyannote[166].end |
640.87596875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
641.39909375 |
transcript.pyannote[167].end |
642.47909375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
643.08659375 |
transcript.pyannote[168].end |
646.68096875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
647.18721875 |
transcript.pyannote[169].end |
651.08534375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
653.14409375 |
transcript.pyannote[170].end |
653.36346875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
653.92034375 |
transcript.pyannote[171].end |
658.84784375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
659.38784375 |
transcript.pyannote[172].end |
661.34534375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
662.00346875 |
transcript.pyannote[173].end |
662.61096875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
662.79659375 |
transcript.pyannote[174].end |
666.49221875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
667.11659375 |
transcript.pyannote[175].end |
672.02721875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
672.97221875 |
transcript.pyannote[176].end |
681.24096875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
680.12721875 |
transcript.pyannote[177].end |
680.54909375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
681.64596875 |
transcript.pyannote[178].end |
682.97909375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
683.08034375 |
transcript.pyannote[179].end |
686.70846875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
683.14784375 |
transcript.pyannote[180].end |
683.19846875 |
transcript.pyannote[181].speaker |
SPEAKER_03 |
transcript.pyannote[181].start |
683.19846875 |
transcript.pyannote[181].end |
683.45159375 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
687.31596875 |
transcript.pyannote[182].end |
687.82221875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
688.49721875 |
transcript.pyannote[183].end |
691.23096875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
691.28159375 |
transcript.pyannote[184].end |
692.51346875 |
transcript.pyannote[185].speaker |
SPEAKER_03 |
transcript.pyannote[185].start |
692.51346875 |
transcript.pyannote[185].end |
694.77471875 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
694.69034375 |
transcript.pyannote[186].end |
696.14159375 |
transcript.pyannote[187].speaker |
SPEAKER_03 |
transcript.pyannote[187].start |
696.14159375 |
transcript.pyannote[187].end |
696.20909375 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
696.20909375 |
transcript.pyannote[188].end |
699.58409375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
699.78659375 |
transcript.pyannote[189].end |
702.19971875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
702.60471875 |
transcript.pyannote[190].end |
704.76471875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
705.01784375 |
transcript.pyannote[191].end |
710.36721875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
710.73846875 |
transcript.pyannote[192].end |
711.46409375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
712.13909375 |
transcript.pyannote[193].end |
715.46346875 |
transcript.pyannote[194].speaker |
SPEAKER_03 |
transcript.pyannote[194].start |
712.81409375 |
transcript.pyannote[194].end |
713.53971875 |
transcript.pyannote[195].speaker |
SPEAKER_03 |
transcript.pyannote[195].start |
715.46346875 |
transcript.pyannote[195].end |
716.50971875 |
transcript.whisperx[0].start |
1.641 |
transcript.whisperx[0].end |
9.708 |
transcript.whisperx[0].text |
謝謝趙偉、蘇越委員我們請部長請陳部長還有陶姬請陶姬總經理部長是委員好我用很沉重的心情來進行今天的質詢是你記不記得我在臺灣隊要出發之前就提醒過你對我們可以預期臺灣隊一定可以贏那贏了 |
transcript.whisperx[1].start |
29.366 |
transcript.whisperx[1].end |
29.526 |
transcript.whisperx[1].text |
預算案附屬單 |
transcript.whisperx[2].start |
43.427 |
transcript.whisperx[2].end |
48.411 |
transcript.whisperx[2].text |
那時候陶基的董事長跟總經理也同樣在站在你旁邊還跟我說我們已經準備好了我們有萬全的準備我們非常有經驗我們一定會趕快來開會協調絕對萬無一失 11月20號同樣地點在這裡質詢你 |
transcript.whisperx[3].start |
68.618 |
transcript.whisperx[3].end |
96.059 |
transcript.whisperx[3].text |
部長也跟我說,有,我們一定會妥善準備,陶吉很有經驗。我出發前提醒,結果反國後者,這結果呢?黃金之亂。還不是只有黃金之亂而已。沿路的動線是亂七八糟。人潮遠遠超過於你們的預期。我之前就提醒你了,一定會萬人空巷。會很熱情地去接機。 |
transcript.whisperx[4].start |
97.81 |
transcript.whisperx[4].end |
126.902 |
transcript.whisperx[4].text |
那剛剛部長回答其他委員說來要求陶基檢討出來檢討第二個究責這個管理機制剛剛其他委員也說太爛了第二個黃金之亂我們看到剛剛剛剛即時新聞彩萌又發了一個聲明稿他要捐三千萬出來分五年要援助資助這個偏鄉青少年的棒球發展 |
transcript.whisperx[5].start |
127.981 |
transcript.whisperx[5].end |
144.784 |
transcript.whisperx[5].text |
那部長這個你說要對採盲要懲處要怎麼懲處我是不是先請部長你自己深自檢討我們淘機這樣子的一個表現幾分不要說不及格比不及格還不及格啊 |
transcript.whisperx[6].start |
145.407 |
transcript.whisperx[6].end |
165.921 |
transcript.whisperx[6].text |
報告委員您說不及格齁那應該就是大家對於這件事情是不滿意的啦齁那這件事情呢其實淘機公司我當時也有要求一定要跟體育署還有就是職棒聯盟這邊協調好協商好整個這個回國之後的整個動線的規劃好你這個你上次有提到沒錯好那我問淘機嘛你們開會了沒 |
transcript.whisperx[7].start |
167.162 |
transcript.whisperx[7].end |
193.783 |
transcript.whisperx[7].text |
你們事前有沒有開會?報告委員,我想相關的積極活動除了事前的協調、規劃甚至每一個定點哪一些位置比如說拍照地點在哪裡哪些單位那下一個環節是哪些單位要負責?你們開了幾次會?現刊都有來現刊幾次?現刊應該有兩次現刊兩次跟哪些單位一起合作現刊? |
transcript.whisperx[8].start |
194.522 |
transcript.whisperx[8].end |
201.626 |
transcript.whisperx[8].text |
二、審查114年度中央政府總預算案附屬單二、審查114年度中央政府總預算案附屬單三、審查114年度中央政府總預算案附屬單四、審查114年度中央政府總預算案附屬單 |
transcript.whisperx[9].start |
216.073 |
transcript.whisperx[9].end |
229.181 |
transcript.whisperx[9].text |
甚至呢也沒有預期到光是在你們管制區裡面的這些免稅店的人員他都可以在裡面跑來跑過去可以蹭來蹭過去甚至可以馬上衝到副總統的席位這何等的離譜的事啊你還說你們有現勘管制區內你都管制不了了你都管理不了了 |
transcript.whisperx[10].start |
241.544 |
transcript.whisperx[10].end |
260.195 |
transcript.whisperx[10].text |
不是嗎?那我們從媒體的報導裡面就可以看得很清楚因為呢幾乎人人包括來接機的人人一支手機都在直播我們看現場台灣隊的隊長他還要到處的在找他的老婆跟小孩跑到哪裡去了你怎麼處理成這個樣子啊你說兩次現刊來誰主持的 |
transcript.whisperx[11].start |
272.213 |
transcript.whisperx[11].end |
282.622 |
transcript.whisperx[11].text |
誰主持的?包委員這個是各單位一起共同來現刊哪些單位派了誰來?成績夠高嗎?有經驗嗎?哪些單位?你剛跟我講體育署是誰來?你們淘機是誰去?那國安人員、特勤人員包括航警局又是誰去?包委員系部的部分可能我們...所以你也不知道? |
transcript.whisperx[12].start |
299.69 |
transcript.whisperx[12].end |
304.073 |
transcript.whisperx[12].text |
需要另外再整理再提供所以你也不知道?所以現堪不是你去嘛對不對?這麼重要的我事前提醒你了部長也在這個會議室裡面你們董事長也在這個會議室裡面告訴大家我們準備好了我們非常有經驗就總經理你連現堪都不是你去啊 |
transcript.whisperx[13].start |
325.885 |
transcript.whisperx[13].end |
335.733 |
transcript.whisperx[13].text |
裡面哪些單位參與現刊包括動線包括哪一個是拍照點包括哪一個是歡迎點包括怎樣怎樣怎樣你都不知道 |
transcript.whisperx[14].start |
339.635 |
transcript.whisperx[14].end |
355.502 |
transcript.whisperx[14].text |
包委員我們是有相關的規劃剛剛所提到這些的點總經理部長你聽看如果你有相關的規劃你的規劃配套是完是完善的是完整的你今天會出那麼大的皮肉嗎跟那麼離譜的事嗎整個淘機都是人欸我之前就提醒過你了我本來今天真的是覺得很 |
transcript.whisperx[15].start |
368.818 |
transcript.whisperx[15].end |
390.814 |
transcript.whisperx[15].text |
桃機是我們的門面欸桃機這個確實是要檢討啦齁那整個過程當中他們也是在11月22號有收到體育署的來函希望哪裡做照相區哪裡做等候區那哪裡要做接駁巴士區都有規劃桃機是誰在管真正桃機的管理者叫桃機公司是交通部 |
transcript.whisperx[16].start |
392.694 |
transcript.whisperx[16].end |
421.328 |
transcript.whisperx[16].text |
你說體育署它也是主責單位體育署是負責把台灣隊帶回來然後呢體育署可能聯絡總統府的副總統要來接機我們教育部體育署要好好的來安排那問題是在地最了解機場最知道機場的動線最知道機場的區域該怎麼配置最知道接機區域到底有多大是誰 |
transcript.whisperx[17].start |
422.962 |
transcript.whisperx[17].end |
441.619 |
transcript.whisperx[17].text |
機場公司欸是機場公司欸而且他剛剛回答其他委員說有啦我們有跟免稅店都有事先約束過啦要求他們要怎樣怎樣阿阿現在都沒有照你預定的計畫在做欸 |
transcript.whisperx[18].start |
443.737 |
transcript.whisperx[18].end |
444.978 |
transcript.whisperx[18].text |
五、審查114年度中央政府總預算案附屬單位預算。 |
transcript.whisperx[19].start |
458.1 |
transcript.whisperx[19].end |
483.991 |
transcript.whisperx[19].text |
大家當然要共同承擔責任但是您剛剛所提到那些懲處確實不在交通部那也不是交通部來負責我必須要說的是彩萌這間公司沒有照原本的規劃跟預定的地點自己未經同意出來做拍照的動作並且他們未經同意拉了廣告布條這些都是非常錯誤的動作那這個部分我也要求淘氣公司必須對彩萌公司來做懲罰做懲處甚至是做裁罰 |
transcript.whisperx[20].start |
486.472 |
transcript.whisperx[20].end |
512.842 |
transcript.whisperx[20].text |
這個部分一定都會做那淘機公司內部要不要檢討當然要檢討檢討完之後到底誰該負責或者是應該做什麼樣的懲處後續一定要做結論我是再一次提醒部長啦淘機的管理或是淘機的公司治理文化一件又一件一次又一次啦要不要下定決心好好的大刀闊斧的 |
transcript.whisperx[21].start |
514.144 |
transcript.whisperx[21].end |
529.578 |
transcript.whisperx[21].text |
改革、革新這個當然是部長怎麼跟陶基好好的來討論啦但是呢今天這一次台灣隊回國我再強調一次喔不是只有黃金之亂 |
transcript.whisperx[22].start |
531.099 |
transcript.whisperx[22].end |
548.773 |
transcript.whisperx[22].text |
現在大家都聚焦在一個黃金之亂可是部長你再從頭回想從台灣隊一下機進管制區到管制區之外沿途的動線包括連出關都有問題還有到了 |
transcript.whisperx[23].start |
553.636 |
transcript.whisperx[23].end |
563.87 |
transcript.whisperx[23].text |
繼機區的時候滿滿都是人那整個的管理整個的動線的一個妥善的配套措施我們真的都沒有看到這個是不應該非常不應該而且我剛剛講的 |
transcript.whisperx[24].start |
570.029 |
transcript.whisperx[24].end |
596.284 |
transcript.whisperx[24].text |
我事先提醒你們告訴我要開會告訴我要協調結果問了沒有開會沒有協調只有兩次現勘兩次現勘是哪些單位來現勘也還講不清楚哪些人來參與現勘也講不清楚那我當然知道就淘機或者是交通部的立場你不可能去管到國安特勤人員但是你們明知道副總統要來 |
transcript.whisperx[25].start |
597.805 |
transcript.whisperx[25].end |
623.021 |
transcript.whisperx[25].text |
有國安特勤的一個維安動線你們就應該要好好的協調跟反映你看你讓我們管制區裡面的人原來誰都可以來蹭誰都可以來擠C位誰都你自己看照片就好了沿途都是不管是入出境的其他我們台灣的國人也好或者是外國觀光客也好 |
transcript.whisperx[26].start |
624.226 |
transcript.whisperx[26].end |
645.794 |
transcript.whisperx[26].text |
很多你們完全沒有管制完全沒有管理完全沒有動線所謂的配套我記得媒體還有曾經拿過日本隊回日本他們的動線是如何的暢通而且呢是有個人空間的又對比到台灣隊回來台灣的桃園機場台灣隊的球員進來回國的時候 |
transcript.whisperx[27].start |
653.168 |
transcript.whisperx[27].end |
665.283 |
transcript.whisperx[27].text |
我本來應該是非常光榮的回國沒錯啦可是那個動線跟混亂啊讓人家覺得是不是在逃難啊對不對本來是一件歡欣國舞舉國歡騰的一件事啊怎麼會把台灣對我們世界冠軍的台灣對回國搞成這個樣子 |
transcript.whisperx[28].start |
673.255 |
transcript.whisperx[28].end |
684.649 |
transcript.whisperx[28].text |
雖然我們還是很高興台灣奪得世界冠軍啊但是我們真的拜託我們部長要好好的處理這件事啊該檢討要檢討該究責要究責我拜託請 |
transcript.whisperx[29].start |
688.61 |
transcript.whisperx[29].end |
715.901 |
transcript.whisperx[29].text |
三天內可不可以有一個檢討報告讓國人知道三天內好不好我們希望你是痛定思痛的檢討你是痛定思痛的去把所有該做的配套還有所有該做的應該都要做到位的通通要檢討好不好拜託這個是國人期待也是要對國人交代當然謝謝委員 |
IVOD_ID |
157483 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157483 |
日期 |
2024-11-27 |
會議資料.會議代碼 |
委員會-11-2-23-11 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
11 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
23 |
會議資料.標題 |
第11屆第2會期交通委員會第11次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-11-27T10:10:10+08:00 |
結束時間 |
2024-11-27T10:22:07+08:00 |
支援功能[0] |
ai-transcript |