IVOD_ID |
159239 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159239 |
日期 |
2025-03-17 |
會議資料.會議代碼 |
委員會-11-3-23-3 |
會議資料.會議代碼:str |
第11屆第3會期交通委員會第3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 |
3 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
23 |
會議資料.委員會代碼:str[0] |
交通委員會 |
會議資料.標題 |
第11屆第3會期交通委員會第3次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-17T11:23:11+08:00 |
結束時間 |
2025-03-17T11:35:44+08:00 |
影片長度 |
00:12:33 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/597499b2503050fb46888b907f796d2cfc70f51a359b58cfeba1aea0cf818e91e618dc1a809a36915ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
廖先翔 |
委員發言時間 |
11:23:11 - 11:35:44 |
會議時間 |
2025-03-17T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期交通委員會第3次全體委員會議(事由:邀請行政院公共工程委員會主任委員陳金德列席報告業務概況,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
4.21596875 |
transcript.pyannote[0].end |
10.96596875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
13.04159375 |
transcript.pyannote[1].end |
13.81784375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
14.13846875 |
transcript.pyannote[2].end |
15.77534375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
16.66971875 |
transcript.pyannote[3].end |
35.09721875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
36.90284375 |
transcript.pyannote[4].end |
39.21471875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
38.23596875 |
transcript.pyannote[5].end |
38.70846875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
44.96909375 |
transcript.pyannote[6].end |
61.84409375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
62.43471875 |
transcript.pyannote[7].end |
63.97034375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
63.97034375 |
transcript.pyannote[8].end |
64.03784375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
64.03784375 |
transcript.pyannote[9].end |
65.82659375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
66.58596875 |
transcript.pyannote[10].end |
75.47909375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
75.47909375 |
transcript.pyannote[11].end |
77.14971875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
77.47034375 |
transcript.pyannote[12].end |
93.14721875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
93.56909375 |
transcript.pyannote[13].end |
94.14284375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
94.93596875 |
transcript.pyannote[14].end |
95.64471875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
95.88096875 |
transcript.pyannote[15].end |
99.45846875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
100.36971875 |
transcript.pyannote[16].end |
118.56096875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
118.32471875 |
transcript.pyannote[17].end |
138.00096875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
125.49659375 |
transcript.pyannote[18].end |
125.53034375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
125.54721875 |
transcript.pyannote[19].end |
125.85096875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
138.03471875 |
transcript.pyannote[20].end |
139.03034375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
139.43534375 |
transcript.pyannote[21].end |
153.93096875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
139.46909375 |
transcript.pyannote[22].end |
139.80659375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
154.31909375 |
transcript.pyannote[23].end |
163.70159375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
163.36409375 |
transcript.pyannote[24].end |
166.60409375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
166.13159375 |
transcript.pyannote[25].end |
171.39659375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
169.27034375 |
transcript.pyannote[26].end |
170.14784375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
170.60346875 |
transcript.pyannote[27].end |
175.44659375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
175.09221875 |
transcript.pyannote[28].end |
177.30284375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
177.30284375 |
transcript.pyannote[29].end |
181.67346875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
181.20096875 |
transcript.pyannote[30].end |
182.98971875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
182.98971875 |
transcript.pyannote[31].end |
183.05721875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
183.05721875 |
transcript.pyannote[32].end |
183.09096875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
183.09096875 |
transcript.pyannote[33].end |
185.92596875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
186.51659375 |
transcript.pyannote[34].end |
190.27971875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
190.27971875 |
transcript.pyannote[35].end |
190.75221875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
191.07284375 |
transcript.pyannote[36].end |
193.36784375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
193.67159375 |
transcript.pyannote[37].end |
196.48971875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
197.18159375 |
transcript.pyannote[38].end |
202.37909375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
198.26159375 |
transcript.pyannote[39].end |
198.78471875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
200.15159375 |
transcript.pyannote[40].end |
200.50596875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
202.09221875 |
transcript.pyannote[41].end |
205.39971875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
206.22659375 |
transcript.pyannote[42].end |
206.29409375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
206.29409375 |
transcript.pyannote[43].end |
206.34471875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
206.34471875 |
transcript.pyannote[44].end |
206.74971875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
206.74971875 |
transcript.pyannote[45].end |
208.40346875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
206.78346875 |
transcript.pyannote[46].end |
207.50909375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
208.72409375 |
transcript.pyannote[47].end |
211.96409375 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
211.96409375 |
transcript.pyannote[48].end |
216.87471875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
217.29659375 |
transcript.pyannote[49].end |
224.62034375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
221.80221875 |
transcript.pyannote[50].end |
222.76409375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
224.62034375 |
transcript.pyannote[51].end |
240.85409375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
225.14346875 |
transcript.pyannote[52].end |
226.12221875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
234.05346875 |
transcript.pyannote[53].end |
237.10784375 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
240.33096875 |
transcript.pyannote[54].end |
245.41034375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
245.96721875 |
transcript.pyannote[55].end |
251.06346875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
250.89471875 |
transcript.pyannote[56].end |
255.41721875 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
255.43409375 |
transcript.pyannote[57].end |
255.45096875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
255.45096875 |
transcript.pyannote[58].end |
260.10846875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
258.85971875 |
transcript.pyannote[59].end |
260.05784375 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
260.10846875 |
transcript.pyannote[60].end |
260.59784375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
260.59784375 |
transcript.pyannote[61].end |
261.96471875 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
260.64846875 |
transcript.pyannote[62].end |
263.46659375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
264.07409375 |
transcript.pyannote[63].end |
273.96284375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
265.94721875 |
transcript.pyannote[64].end |
267.88784375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
274.14846875 |
transcript.pyannote[65].end |
279.37971875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
274.36784375 |
transcript.pyannote[66].end |
275.27909375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
279.37971875 |
transcript.pyannote[67].end |
284.84721875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
285.21846875 |
transcript.pyannote[68].end |
286.72034375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
287.26034375 |
transcript.pyannote[69].end |
289.67346875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
290.51721875 |
transcript.pyannote[70].end |
311.00346875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
290.71971875 |
transcript.pyannote[71].end |
290.97284375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
302.43096875 |
transcript.pyannote[72].end |
302.44784375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
302.46471875 |
transcript.pyannote[73].end |
302.51534375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
311.07096875 |
transcript.pyannote[74].end |
317.82096875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
317.23034375 |
transcript.pyannote[75].end |
322.91721875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
318.58034375 |
transcript.pyannote[76].end |
320.85846875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
321.80346875 |
transcript.pyannote[77].end |
333.36284375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
323.71034375 |
transcript.pyannote[78].end |
324.82409375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
333.58221875 |
transcript.pyannote[79].end |
340.39971875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
338.91471875 |
transcript.pyannote[80].end |
344.83784375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
344.93909375 |
transcript.pyannote[81].end |
355.46909375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
348.48284375 |
transcript.pyannote[82].end |
350.40659375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
354.57471875 |
transcript.pyannote[83].end |
355.36784375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
355.46909375 |
transcript.pyannote[84].end |
355.53659375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
355.53659375 |
transcript.pyannote[85].end |
355.63784375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
355.63784375 |
transcript.pyannote[86].end |
355.73909375 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
355.73909375 |
transcript.pyannote[87].end |
357.00471875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
355.82346875 |
transcript.pyannote[88].end |
362.32034375 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
358.75971875 |
transcript.pyannote[89].end |
359.08034375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
362.32034375 |
transcript.pyannote[90].end |
378.14909375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
379.95471875 |
transcript.pyannote[91].end |
381.57471875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
382.70534375 |
transcript.pyannote[92].end |
383.02596875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
385.91159375 |
transcript.pyannote[93].end |
387.09284375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
387.12659375 |
transcript.pyannote[94].end |
387.97034375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
387.97034375 |
transcript.pyannote[95].end |
388.49346875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
388.49346875 |
transcript.pyannote[96].end |
388.51034375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
388.59471875 |
transcript.pyannote[97].end |
389.11784375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
390.61971875 |
transcript.pyannote[98].end |
391.66596875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
392.30721875 |
transcript.pyannote[99].end |
393.42096875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
392.84721875 |
transcript.pyannote[100].end |
393.28596875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
393.42096875 |
transcript.pyannote[101].end |
393.55596875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
393.55596875 |
transcript.pyannote[102].end |
393.92721875 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
394.55159375 |
transcript.pyannote[103].end |
397.15034375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
397.15034375 |
transcript.pyannote[104].end |
397.21784375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
397.48784375 |
transcript.pyannote[105].end |
406.97159375 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
404.23784375 |
transcript.pyannote[106].end |
405.06471875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
405.06471875 |
transcript.pyannote[107].end |
405.08159375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
406.97159375 |
transcript.pyannote[108].end |
408.25409375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
408.25409375 |
transcript.pyannote[109].end |
410.05971875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
410.05971875 |
transcript.pyannote[110].end |
410.31284375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
410.12721875 |
transcript.pyannote[111].end |
410.68409375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
410.59971875 |
transcript.pyannote[112].end |
421.01159375 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
421.19721875 |
transcript.pyannote[113].end |
423.00284375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
422.39534375 |
transcript.pyannote[114].end |
425.50034375 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
423.79596875 |
transcript.pyannote[115].end |
423.91409375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
425.50034375 |
transcript.pyannote[116].end |
444.97409375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
428.03159375 |
transcript.pyannote[117].end |
430.68096875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
443.96159375 |
transcript.pyannote[118].end |
450.67784375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
450.77909375 |
transcript.pyannote[119].end |
451.53846875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
452.09534375 |
transcript.pyannote[120].end |
458.89596875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
452.14596875 |
transcript.pyannote[121].end |
453.14159375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
453.14159375 |
transcript.pyannote[122].end |
453.19221875 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
455.25096875 |
transcript.pyannote[123].end |
460.90409375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
460.98846875 |
transcript.pyannote[124].end |
463.57034375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
463.72221875 |
transcript.pyannote[125].end |
463.87409375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
463.87409375 |
transcript.pyannote[126].end |
463.89096875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
463.89096875 |
transcript.pyannote[127].end |
463.94159375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
463.94159375 |
transcript.pyannote[128].end |
463.97534375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
463.97534375 |
transcript.pyannote[129].end |
465.62909375 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
464.61659375 |
transcript.pyannote[130].end |
469.57784375 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
469.76346875 |
transcript.pyannote[131].end |
474.25221875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
474.33659375 |
transcript.pyannote[132].end |
480.49596875 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
474.97784375 |
transcript.pyannote[133].end |
475.75409375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
480.91784375 |
transcript.pyannote[134].end |
486.18284375 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
485.23784375 |
transcript.pyannote[135].end |
487.36409375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
486.72284375 |
transcript.pyannote[136].end |
487.16159375 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
487.54971875 |
transcript.pyannote[137].end |
489.25409375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
487.95471875 |
transcript.pyannote[138].end |
488.84909375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
489.25409375 |
transcript.pyannote[139].end |
498.77159375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
497.82659375 |
transcript.pyannote[140].end |
500.62784375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
501.38721875 |
transcript.pyannote[141].end |
504.55971875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
501.99471875 |
transcript.pyannote[142].end |
512.69346875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
512.30534375 |
transcript.pyannote[143].end |
515.96721875 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
513.53721875 |
transcript.pyannote[144].end |
515.15721875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
515.96721875 |
transcript.pyannote[145].end |
516.00096875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
516.00096875 |
transcript.pyannote[146].end |
516.03471875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
516.03471875 |
transcript.pyannote[147].end |
516.16971875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
516.16971875 |
transcript.pyannote[148].end |
516.33846875 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
516.33846875 |
transcript.pyannote[149].end |
529.68659375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
529.85534375 |
transcript.pyannote[150].end |
547.38846875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
547.77659375 |
transcript.pyannote[151].end |
549.54846875 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
549.97034375 |
transcript.pyannote[152].end |
553.63221875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
552.53534375 |
transcript.pyannote[153].end |
554.64471875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
554.61096875 |
transcript.pyannote[154].end |
557.76659375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
559.40346875 |
transcript.pyannote[155].end |
585.07034375 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
564.78659375 |
transcript.pyannote[156].end |
566.30534375 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
570.60846875 |
transcript.pyannote[157].end |
571.72221875 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
574.84409375 |
transcript.pyannote[158].end |
575.63721875 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
576.83534375 |
transcript.pyannote[159].end |
576.97034375 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
578.26971875 |
transcript.pyannote[160].end |
578.38784375 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
578.80971875 |
transcript.pyannote[161].end |
579.07971875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
579.45096875 |
transcript.pyannote[162].end |
579.55221875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
579.70409375 |
transcript.pyannote[163].end |
580.81784375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
585.42471875 |
transcript.pyannote[164].end |
590.84159375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
591.92159375 |
transcript.pyannote[165].end |
600.08909375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
592.15784375 |
transcript.pyannote[166].end |
592.63034375 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
593.76096875 |
transcript.pyannote[167].end |
594.26721875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
596.86596875 |
transcript.pyannote[168].end |
597.50721875 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
600.08909375 |
transcript.pyannote[169].end |
600.10596875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
600.10596875 |
transcript.pyannote[170].end |
600.24096875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
600.25784375 |
transcript.pyannote[171].end |
600.47721875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
600.47721875 |
transcript.pyannote[172].end |
600.51096875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
600.94971875 |
transcript.pyannote[173].end |
626.24534375 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
605.50596875 |
transcript.pyannote[174].end |
605.60721875 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
610.11284375 |
transcript.pyannote[175].end |
610.77096875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
610.77096875 |
transcript.pyannote[176].end |
610.80471875 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
611.42909375 |
transcript.pyannote[177].end |
614.82096875 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
616.25534375 |
transcript.pyannote[178].end |
616.42409375 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
618.22971875 |
transcript.pyannote[179].end |
619.51221875 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
624.01784375 |
transcript.pyannote[180].end |
624.40596875 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
624.52409375 |
transcript.pyannote[181].end |
633.41721875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
632.89409375 |
transcript.pyannote[182].end |
634.12596875 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
634.34534375 |
transcript.pyannote[183].end |
635.03721875 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
635.45909375 |
transcript.pyannote[184].end |
642.02346875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
640.43721875 |
transcript.pyannote[185].end |
643.66034375 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
642.68159375 |
transcript.pyannote[186].end |
652.65471875 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
652.82346875 |
transcript.pyannote[187].end |
653.68409375 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
653.98784375 |
transcript.pyannote[188].end |
657.14346875 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
655.64159375 |
transcript.pyannote[189].end |
666.52596875 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
667.13346875 |
transcript.pyannote[190].end |
675.41909375 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
675.77346875 |
transcript.pyannote[191].end |
678.15284375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
678.20346875 |
transcript.pyannote[192].end |
684.91971875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
685.32471875 |
transcript.pyannote[193].end |
694.20096875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
694.40346875 |
transcript.pyannote[194].end |
706.87409375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
707.04284375 |
transcript.pyannote[195].end |
717.97784375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
713.82659375 |
transcript.pyannote[196].end |
714.13034375 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
717.74159375 |
transcript.pyannote[197].end |
721.55534375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
721.92659375 |
transcript.pyannote[198].end |
723.12471875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
723.12471875 |
transcript.pyannote[199].end |
724.99784375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
725.31846875 |
transcript.pyannote[200].end |
728.42346875 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
726.75284375 |
transcript.pyannote[201].end |
731.02221875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
730.02659375 |
transcript.pyannote[202].end |
731.14034375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
731.20784375 |
transcript.pyannote[203].end |
732.62534375 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
733.09784375 |
transcript.pyannote[204].end |
736.10159375 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
736.25346875 |
transcript.pyannote[205].end |
743.86409375 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
743.20596875 |
transcript.pyannote[206].end |
747.32346875 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
745.78784375 |
transcript.pyannote[207].end |
746.73284375 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
747.32346875 |
transcript.pyannote[208].end |
749.77034375 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
750.74909375 |
transcript.pyannote[209].end |
750.95159375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
750.95159375 |
transcript.pyannote[210].end |
751.96409375 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
751.96409375 |
transcript.pyannote[211].end |
752.97659375 |
transcript.whisperx[0].start |
4.264 |
transcript.whisperx[0].end |
10.509 |
transcript.whisperx[0].text |
好 謝謝主席 你要麻煩邀請我們陳主委好 陳主委問金子獎 相關的也可以一起上來 |
transcript.whisperx[1].start |
13.269 |
transcript.whisperx[1].end |
35.261 |
transcript.whisperx[1].text |
委員長好 謝謝主委怎麼沒有人要救援你好 金子獎那個業務單位好 這個金子獎嘛這前幾天有新聞嘛那當然今天有很多委員在詢問主委嘛當然大家認為可能金子獎很重要才會被社會來討論我想請教一下金子獎去年跟今年去年的這個發包的決算跟今年的預算大概分別是多少我是請處理說明 |
transcript.whisperx[2].start |
45.811 |
transcript.whisperx[2].end |
65.543 |
transcript.whisperx[2].text |
謝謝委員那去年的決算大概是我們在他有兩部分一個是那個委員的審查費大概將近400萬然後再發包發包的費用大概也是將近500萬左右500萬所以加起來900那我們今年大概應該也是差不多的規模啦頂多都到 |
transcript.whisperx[3].start |
67.101 |
transcript.whisperx[3].end |
91.27 |
transcript.whisperx[3].text |
報告委員我們每年大概成長20%所以我們今年編的大概審查費跟發報費大概是各530萬那大概1000億以內嘛對不對好那今年的我們的業務費那大概就2億嘛那當然動50%那所以說我們實際上目前我們工程會實際能夠用的大概就是1億元嘛那也就是說在我們工程會的認知裡面我們在2億的預算裡面有1億的預算是 |
transcript.whisperx[4].start |
95.24 |
transcript.whisperx[4].end |
121.858 |
transcript.whisperx[4].text |
優先於這個金子獎的審查可以這樣理解嗎如果說我們不辦金子獎的話不是因為業務分在各處技術處、公管處、企劃處是同那個兩位你動了一半那各處都有各處的業務你如果把它挪用來辦金子獎相對排擠其他應辦業務包括重大公共建設的考核等等都會影響到優先順序的問題嘛你怕排擠到別人的所以金子獎 |
transcript.whisperx[5].start |
122.698 |
transcript.whisperx[5].end |
138.816 |
transcript.whisperx[5].text |
可能就是可能順序比較後面嘛也就是說我們今年有一億的預算你認為這一億的優先的順序就在排序的時候金子獎可能沒有在這一億裡面可能是在後面的一億所以你才會說金子獎可能不辦嘛不是這個意思 |
transcript.whisperx[6].start |
139.497 |
transcript.whisperx[6].end |
149.308 |
transcript.whisperx[6].text |
那你就那你就辦啊所有的業務會都在業務我們預算說明欄都有說明是公管數多少錢多少那個企劃數多少錢這個金職獎的說明是1060萬對說明在這裡了 |
transcript.whisperx[7].start |
154.434 |
transcript.whisperx[7].end |
176.821 |
transcript.whisperx[7].text |
去留用其他部會其他業務的預算就排擠其他嘛而且大院同意不同意解凍我們不知道我們就今天當作不解凍嘛對不對你們現在預期不解凍嘛委員認為已經確定不解凍我們要這樣講你們目前就是當作不解凍來說沒辦法辦嘛如果會解凍就會辦嘛對不對我們希望大院能夠盡速解凍 |
transcript.whisperx[8].start |
177.401 |
transcript.whisperx[8].end |
205.126 |
transcript.whisperx[8].text |
你會解凍就會辦嘛這沒有問題嘛對不對因為就按照你們的預算在編嘛就不知道什麼時候解凍對好那就是說我們在給你的一億裡面你不打算用這一億的經費來辦金子獎可以這樣子理解嗎不可以因為這一億裡面有其他業務要用對啊所以這一億裡面沒有要辦金子獎啊金子獎受影響是50%啊是啊受影響50%啊所以你一億裡面沒有要辦嘛你也不可能金子獎只辦一半吧 |
transcript.whisperx[9].start |
206.26 |
transcript.whisperx[9].end |
232.227 |
transcript.whisperx[9].text |
金職獎的確 你要買就要辦 要買就不辦吧沒有辦法說辦一辦 要等著要報名啊所以就是辦跟不辦的差別嘛就是這一千萬你到底要不要花的差別嘛一千萬要花就是一千萬花一千萬不花就是一千萬不花嘛目前我們有一億的預算你不打算花這一千萬嗎是不是這樣理解大院何時解動大院凍結的不只金職獎的預算是所有的業務會凍結一半啦 |
transcript.whisperx[10].start |
234.248 |
transcript.whisperx[10].end |
242.945 |
transcript.whisperx[10].text |
凍結50%嘛對啊就可以看這每一個都凍50嘛因為其他業務也會受影響其他業務受影響是因為它很多所以50%你會去與你的優先順序嘛你會去凍你的優先順序啊 |
transcript.whisperx[11].start |
246.35 |
transcript.whisperx[11].end |
260.915 |
transcript.whisperx[11].text |
這個是大院到底要不要同意我們使用的問題不是我們能不能留用的問題所以好像每個東西都做一半那你議員你告訴我你現在的議員你要幹什麼我們其他的公共建設的審查或其他的議員還可以優先你講不講得出來議員你要拿來做什麼 |
transcript.whisperx[12].start |
264.076 |
transcript.whisperx[12].end |
289.531 |
transcript.whisperx[12].text |
一個部會都有他的預算實際的實際的我們公共建設的審查包括多少錢什麼項目多少錢這有辦法現在提供嗎我們會提供給你好啊那你就告訴在預算裡面我想你們經過仔細的審查我們都是對那個是兩億的狀況嘛對不對那現在你只有一億你會一億優先用在哪些項目我想知道嘛因為目前金子獎可能不辦嘛對不對那你其他東西就會把這一億花光嘛 |
transcript.whisperx[13].start |
290.54 |
transcript.whisperx[13].end |
309.963 |
transcript.whisperx[13].text |
不是一億發光這個一億就是其他業務都各使用一半的情況之下其他的業務也許可以這樣辦一半同意再來辦這個金職獎就一件事情而已現在要嘛辦接受報名然後做一些準備那如果說大院等到今年10月才同意解凍那我們還辦什麼金職獎 |
transcript.whisperx[14].start |
311.144 |
transcript.whisperx[14].end |
321.714 |
transcript.whisperx[14].text |
好沒關係那主委如果說你現在現場提不出來我們這一億目前的規劃要做什麼的話規劃很清楚在預算書裡面大院在審查的時候那是兩億的狀況嘛現在已經是一億嘛對不對那你就會後給我給個書面資料我們優先一億會用在哪些項目那你要說每個項目都50%我也可以接受啊 |
transcript.whisperx[15].start |
333.726 |
transcript.whisperx[15].end |
362.175 |
transcript.whisperx[15].text |
對不對這總是我要知道你50%你要怎麼花嘛我才會看後續的結凍案要怎麼結凍我們的預算使用每一個科目都很清楚而且委員應該有這個預算書啦有啊當然有啊但我不確定你我們沒有辦法跟委員報告說哪些要優先使用就是同商50%嘛對不對那我想知道在不結凍的情況下你50%會用在哪嗎就這麼簡單而已現在我可以跟委員報告其他的科目呢可以用一半但是靜止獎沒辦法用一半再來考量說大院要不要同意 |
transcript.whisperx[16].start |
362.415 |
transcript.whisperx[16].end |
378.305 |
transcript.whisperx[16].text |
好 沒關係 那就會後再給我明確的資料 每一個細項好 那另外我想確認一下 就是解凍三層你們的因為當初是說三層嘛 對不對 剛剛主委也有一直強調這個院會的決議嘛 你們要遵守那三層的部分 其實現在也三月了啦 你們大概用多少了我們我們 業務費 對 業務費 |
transcript.whisperx[17].start |
390.689 |
transcript.whisperx[17].end |
404.741 |
transcript.whisperx[17].text |
所有的業務費你們用到多少了因為我們想知道就30%嘛對不對你現在用多少我們會遵照大院的決定使用30%我們就會嚴厲來提解凍案那我剛才說得很清楚 |
transcript.whisperx[18].start |
406.462 |
transcript.whisperx[18].end |
425.335 |
transcript.whisperx[18].text |
所以現在你們不確定現在動之幾趴了怎麼樣解凍我們還不知道大家原料我們沒關係這會後也可以給資料會後給資料你目前動之幾趴這對我們來說應該很重要啊因為你們30趴才能送嘛你們應該要很清楚現在動到幾趴結果現在花了多少錢好像也沒有辦法很明確的講因為如何解凍程序我們還沒辦法掌握啦 |
transcript.whisperx[19].start |
425.595 |
transcript.whisperx[19].end |
449.5 |
transcript.whisperx[19].text |
但我們都可以先準備嘛就包括你們的報告我們當然會準備都可以先準備包括委員的溝通也私底下都可以溝通嘛程序當然是到了哪時候都可以先走但是很多事情可以溝通的時候就先溝通嘛目前至少委還沒有接收到櫃會來跟我辦公室說要溝通後續的結婚的狀況嘛預算審查的時候在交通委內已經每個委員都有溝通而且交通委內已經審閉了如果說 |
transcript.whisperx[20].start |
452.202 |
transcript.whisperx[20].end |
480.099 |
transcript.whisperx[20].text |
就只講要不要辦我們還要再到大院兩百多個人所以你解通案就是直接送來你也不打算跟院會溝通嘛是不是你們也不打算再溝通嘛是不是溝通就是復議成功那個才是溝通因為你都已經決定是復議了所以到時候你們就直接行政院就送來然後就看你們立法院要不要過嘛就這樣子沒關係啦這個是那個這本來就是你們的權利嘛要不要溝通本來就是你們的權利嘛不是溝通不是要不要溝通你這個復議如果同意復議才有溝通的空間嘛 |
transcript.whisperx[21].start |
480.979 |
transcript.whisperx[21].end |
500.281 |
transcript.whisperx[21].text |
啊你都已經溝通不接受復議嘛不接受復議那個案就會報我指的是解凍案啊解凍案啊我指的是解凍案解凍案就是在預算案的主決議裡面就在預算的主決議裡面所以你不接受復議那就是那個那個案也是在那個主決議但是你後續還是要來解凍嘛對不對你還是會申請嘛 |
transcript.whisperx[22].start |
501.414 |
transcript.whisperx[22].end |
518.877 |
transcript.whisperx[22].text |
我們當然會遵照大院的指示到目前為止還沒有打算想溝通我想確認一下你們會不會有意見你不可以你認為你們不需要那沒關係這就是你們的態度我們還不理解怎麼行使這個解凍程序很多公共工程其實在 |
transcript.whisperx[23].start |
519.818 |
transcript.whisperx[23].end |
547.121 |
transcript.whisperx[23].text |
例行性的很多公共工程其實譬如說地方政府的地方道路的養護等等的他們不會等到預算過了才發包他們也不會等到譬如說今年一一四年度到了才發包他們可能都會在去年發包那並且在這個招標文件裡面可能說明這個預算就是有條件的嘛是預算通過後或者是我們是不是說付諸是預算解凍後來先行做這個相關的發包程序你們有這是 |
transcript.whisperx[24].start |
548.463 |
transcript.whisperx[24].end |
557.44 |
transcript.whisperx[24].text |
可不可以這樣做跟你們程序上可不可以這樣跟你們會不會這樣這兩個部分可以說明嗎有條件的決標是可以做的有條件決標可以做嗎所以說我們有打算要做嗎 |
transcript.whisperx[25].start |
559.668 |
transcript.whisperx[25].end |
584.629 |
transcript.whisperx[25].text |
這個是有錢的狀況之下我知道有預算已經有啦然後什麼時候解凍就可以花嘛對不對可是不知道會不會解凍所以你可以有條件大院沒有給我們一個能不能用啊所以我們如果掛那個條件結標掛有條件的結標你說可以嘛對不對可以但是錢在哪裡對所以你可以先招嘛但是就是錢在哪裡我沒有錢的情況之下沒有辦法辦理這個有條件的結標如果 |
transcript.whisperx[26].start |
585.531 |
transcript.whisperx[26].end |
586.735 |
transcript.whisperx[26].text |
如果給你錢了你還有條件幹嘛啦就是你還不確定你有沒有錢的情況下才是有條件啊 |
transcript.whisperx[27].start |
591.96 |
transcript.whisperx[27].end |
619.241 |
transcript.whisperx[27].text |
我們不是私人機關我們每一筆支出都要有預算都要大院同意所以所有的地方政府在預算還沒有過的情況下你剛剛說可以那現在好像又不行那個是預算通過了沒有通過預算沒有通過沒有人敢做這種決標啦他們都會預算沒有通過沒有一個政府敢做這種決標啦所以不能夠付諸嘛我想你如果待過議會你會知道對所以不能夠付諸我第一點就是跟主委確認這件事有預算 |
transcript.whisperx[28].start |
619.981 |
transcript.whisperx[28].end |
633.616 |
transcript.whisperx[28].text |
才能夠這種有條件的決標比方說我環評通過才來執行沒有說等預算通過再給所以有條件的範圍不包含預算我們預算不知道條件是可能其他條件不包含預算確定要有預算才能上網報告這個沒有人敢來標啦確定齁 |
transcript.whisperx[29].start |
635.678 |
transcript.whisperx[29].end |
652.127 |
transcript.whisperx[29].text |
確定所以是其他單位如果說以後看到相關的相關的這個有關預算的有條件我都報到工程會來那個條件是其他的條件我都來對對對這不是這個預算對對對我知道我清楚主委的意思就是其他的條件您剛剛講的可能環評之類的但是預算這一點公家機關絕對不行應該是這樣子嘛 |
transcript.whisperx[30].start |
654.045 |
transcript.whisperx[30].end |
674.353 |
transcript.whisperx[30].text |
因為他沒有預算沒有通過我印象中應該有一些所以我請教主委如果說我記錯了那可能是我記錯了如果說未來我再發現的話我再提供給主委那不好意思再用一點時間最後一個這個基隆捷運這個現在在交通部那主委不知道有沒有注意到相關的新聞原本的預算大概700億當初行政院核定那最後 |
transcript.whisperx[31].start |
676.315 |
transcript.whisperx[31].end |
684.006 |
transcript.whisperx[31].text |
地方政府評估到1200億嘛那最後如果說現在提到交通部的意思就是說你先按照700億當初核定的預算規模來報 |
transcript.whisperx[32].start |
685.89 |
transcript.whisperx[32].end |
706.585 |
transcript.whisperx[32].text |
來報交通部那交通部合了之後會送到工程會但實際上他可能會到用到一千二兩百億那我們工程會後續的意見會認為這個差距過大嗎希望他先提這個修正報告我指的修正報告就是那個整體的這個基隆捷運的修正報告再來工程會嗎還是說我們也可以先走那最後再來提修正報告 |
transcript.whisperx[33].start |
707.305 |
transcript.whisperx[33].end |
724.133 |
transcript.whisperx[33].text |
我們是審查他的基本設計啦這個基本設計當然牽涉到他這個費用吧也許是這個案是修正計畫是不是是修正計畫鐵道局建議整個工程經費核定了之後再提修正而且 對他們希望今天按700億來提 |
transcript.whisperx[34].start |
725.376 |
transcript.whisperx[34].end |
752.733 |
transcript.whisperx[34].text |
那提我們就審他的基本設計啊你就審他700億嘛你不會針對整個計畫我們就針對工程項目有沒有合理來去審的現在中央政府大概錢的使用是受到很大的限制啦沒有我們是專業審查嘛對不對對OK好那我就確定一下我們不會因為700億跟1200億的差別造成審查上面這些我們就看交通部送什麼樣的基本設計我們就這個基本設計來審對好以上了解謝謝主委好謝謝主席好謝謝廖先祥委員 |