IVOD_ID |
158756 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158756 |
日期 |
2025-01-08 |
會議資料.會議代碼 |
委員會-11-2-23-19 |
會議資料.會議代碼:str |
第11屆第2會期交通委員會第19次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
19 |
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2會期交通委員會第19次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-01-08T09:53:26+08:00 |
結束時間 |
2025-01-08T10:06:43+08:00 |
影片長度 |
00:13:17 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/740a0dd0b202cb58b7bcfe48dc933ff59b82b4e80112db252e7e046cfb2de4f7d3c8be10e344e7af5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
許智傑 |
委員發言時間 |
09:53:26 - 10:06:43 |
會議時間 |
2025-01-08T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期交通委員會第19次全體委員會議(事由:邀請交通部部長陳世凱、國家發展委員會、環境部、經濟部及國家科學及技術委員會就「陸海空交通運輸業因應凈零排放轉型之改善措施」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
3.23721875 |
transcript.pyannote[0].end |
7.18596875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
7.28721875 |
transcript.pyannote[1].end |
9.95346875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
13.10909375 |
transcript.pyannote[2].end |
13.80096875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
14.59409375 |
transcript.pyannote[3].end |
16.28159375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
16.97346875 |
transcript.pyannote[4].end |
18.57659375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
19.79159375 |
transcript.pyannote[5].end |
25.54596875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
25.93409375 |
transcript.pyannote[6].end |
28.75221875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
29.44409375 |
transcript.pyannote[7].end |
32.14409375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
32.48159375 |
transcript.pyannote[8].end |
34.03409375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
34.47284375 |
transcript.pyannote[9].end |
42.16784375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
42.75846875 |
transcript.pyannote[10].end |
48.76596875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
49.45784375 |
transcript.pyannote[11].end |
53.28846875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
53.69346875 |
transcript.pyannote[12].end |
61.65846875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
61.96221875 |
transcript.pyannote[13].end |
63.19409375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
64.24034375 |
transcript.pyannote[14].end |
66.34971875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
66.45096875 |
transcript.pyannote[15].end |
67.51409375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
67.73346875 |
transcript.pyannote[16].end |
68.86409375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
69.33659375 |
transcript.pyannote[17].end |
87.94971875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
88.37159375 |
transcript.pyannote[18].end |
91.17284375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
91.76346875 |
transcript.pyannote[19].end |
95.50971875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
95.94846875 |
transcript.pyannote[20].end |
103.76159375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
100.50471875 |
transcript.pyannote[21].end |
101.75346875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
103.13721875 |
transcript.pyannote[22].end |
103.35659375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
103.87971875 |
transcript.pyannote[23].end |
108.08159375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
109.12784375 |
transcript.pyannote[24].end |
109.58346875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
110.46096875 |
transcript.pyannote[25].end |
112.21596875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
112.75596875 |
transcript.pyannote[26].end |
117.16034375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
118.69596875 |
transcript.pyannote[27].end |
120.73784375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
121.59846875 |
transcript.pyannote[28].end |
122.45909375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
123.45471875 |
transcript.pyannote[29].end |
125.63159375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
127.31909375 |
transcript.pyannote[30].end |
129.76596875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
130.37346875 |
transcript.pyannote[31].end |
132.24659375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
133.61346875 |
transcript.pyannote[32].end |
136.46534375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
137.02221875 |
transcript.pyannote[33].end |
139.03034375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
139.35096875 |
transcript.pyannote[34].end |
141.66284375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
142.23659375 |
transcript.pyannote[35].end |
144.34596875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
145.88159375 |
transcript.pyannote[36].end |
146.30346875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
147.41721875 |
transcript.pyannote[37].end |
151.16346875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
151.70346875 |
transcript.pyannote[38].end |
154.13346875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
154.63971875 |
transcript.pyannote[39].end |
155.58471875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
156.29346875 |
transcript.pyannote[40].end |
157.69409375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
158.11596875 |
transcript.pyannote[41].end |
162.73971875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
163.48221875 |
transcript.pyannote[42].end |
167.81909375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
168.54471875 |
transcript.pyannote[43].end |
170.28284375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
170.68784375 |
transcript.pyannote[44].end |
173.72534375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
174.23159375 |
transcript.pyannote[45].end |
177.13409375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
178.11284375 |
transcript.pyannote[46].end |
180.12096875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
180.96471875 |
transcript.pyannote[47].end |
182.21346875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
182.39909375 |
transcript.pyannote[48].end |
185.31846875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
185.92596875 |
transcript.pyannote[49].end |
187.05659375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
188.10284375 |
transcript.pyannote[50].end |
188.72721875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
189.18284375 |
transcript.pyannote[51].end |
192.49034375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
193.19909375 |
transcript.pyannote[52].end |
196.62471875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
198.44721875 |
transcript.pyannote[53].end |
200.05034375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
201.04596875 |
transcript.pyannote[54].end |
203.64471875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
204.38721875 |
transcript.pyannote[55].end |
209.58471875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
210.63096875 |
transcript.pyannote[56].end |
214.79909375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
215.13659375 |
transcript.pyannote[57].end |
218.32596875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
218.35971875 |
transcript.pyannote[58].end |
250.05096875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
244.44846875 |
transcript.pyannote[59].end |
245.14034375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
249.62909375 |
transcript.pyannote[60].end |
251.16471875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
250.70909375 |
transcript.pyannote[61].end |
255.83909375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
252.63284375 |
transcript.pyannote[62].end |
253.05471875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
255.40034375 |
transcript.pyannote[63].end |
255.48471875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
255.55221875 |
transcript.pyannote[64].end |
255.63659375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
255.83909375 |
transcript.pyannote[65].end |
259.97346875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
258.99471875 |
transcript.pyannote[66].end |
263.09534375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
260.19284375 |
transcript.pyannote[67].end |
261.86346875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
263.28096875 |
transcript.pyannote[68].end |
268.81596875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
269.05221875 |
transcript.pyannote[69].end |
270.08159375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
270.19971875 |
transcript.pyannote[70].end |
283.04159375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
280.44284375 |
transcript.pyannote[71].end |
283.98659375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
283.88534375 |
transcript.pyannote[72].end |
306.16034375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
290.14596875 |
transcript.pyannote[73].end |
290.77034375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
296.18721875 |
transcript.pyannote[74].end |
296.30534375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
305.63721875 |
transcript.pyannote[75].end |
306.86909375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
306.27846875 |
transcript.pyannote[76].end |
306.81846875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
307.20659375 |
transcript.pyannote[77].end |
324.57096875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
323.86221875 |
transcript.pyannote[78].end |
330.56159375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
325.33034375 |
transcript.pyannote[79].end |
326.19096875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
331.08471875 |
transcript.pyannote[80].end |
333.05909375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
333.49784375 |
transcript.pyannote[81].end |
335.62409375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
336.18096875 |
transcript.pyannote[82].end |
338.84721875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
339.30284375 |
transcript.pyannote[83].end |
354.79409375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
355.26659375 |
transcript.pyannote[84].end |
355.97534375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
356.98784375 |
transcript.pyannote[85].end |
360.17721875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
360.71721875 |
transcript.pyannote[86].end |
361.25721875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
361.91534375 |
transcript.pyannote[87].end |
364.07534375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
364.21034375 |
transcript.pyannote[88].end |
365.61096875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
365.99909375 |
transcript.pyannote[89].end |
366.82596875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
366.97784375 |
transcript.pyannote[90].end |
379.27971875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
379.60034375 |
transcript.pyannote[91].end |
381.33846875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
382.67159375 |
transcript.pyannote[92].end |
386.56971875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
386.70471875 |
transcript.pyannote[93].end |
396.17159375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
397.31909375 |
transcript.pyannote[94].end |
398.46659375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
400.44096875 |
transcript.pyannote[95].end |
403.02284375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
403.46159375 |
transcript.pyannote[96].end |
407.51159375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
408.43971875 |
transcript.pyannote[97].end |
408.76034375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
409.23284375 |
transcript.pyannote[98].end |
411.76409375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
412.55721875 |
transcript.pyannote[99].end |
413.89034375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
414.34596875 |
transcript.pyannote[100].end |
416.05034375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
416.60721875 |
transcript.pyannote[101].end |
419.77971875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
420.11721875 |
transcript.pyannote[102].end |
421.34909375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
422.17596875 |
transcript.pyannote[103].end |
427.12034375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
428.45346875 |
transcript.pyannote[104].end |
429.70221875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
430.59659375 |
transcript.pyannote[105].end |
431.87909375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
433.09409375 |
transcript.pyannote[106].end |
434.14034375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
434.57909375 |
transcript.pyannote[107].end |
438.32534375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
438.84846875 |
transcript.pyannote[108].end |
442.56096875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
442.84784375 |
transcript.pyannote[109].end |
444.70409375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
444.83909375 |
transcript.pyannote[110].end |
448.18034375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
448.51784375 |
transcript.pyannote[111].end |
448.97346875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
449.32784375 |
transcript.pyannote[112].end |
453.22596875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
454.10346875 |
transcript.pyannote[113].end |
457.83284375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
458.89596875 |
transcript.pyannote[114].end |
459.46971875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
460.31346875 |
transcript.pyannote[115].end |
461.24159375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
462.27096875 |
transcript.pyannote[116].end |
462.55784375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
462.82784375 |
transcript.pyannote[117].end |
464.58284375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
465.32534375 |
transcript.pyannote[118].end |
467.90721875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
468.32909375 |
transcript.pyannote[119].end |
470.47221875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
471.28221875 |
transcript.pyannote[120].end |
472.24409375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
473.88096875 |
transcript.pyannote[121].end |
475.53471875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
476.41221875 |
transcript.pyannote[122].end |
480.78284375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
481.42409375 |
transcript.pyannote[123].end |
482.94284375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
483.66846875 |
transcript.pyannote[124].end |
487.31346875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
487.95471875 |
transcript.pyannote[125].end |
493.30409375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
493.94534375 |
transcript.pyannote[126].end |
495.41346875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
496.66221875 |
transcript.pyannote[127].end |
499.86846875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
500.37471875 |
transcript.pyannote[128].end |
504.08721875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
504.55971875 |
transcript.pyannote[129].end |
508.01909375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
508.99784375 |
transcript.pyannote[130].end |
511.42784375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
512.03534375 |
transcript.pyannote[131].end |
515.25846875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
516.27096875 |
transcript.pyannote[132].end |
518.21159375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
518.61659375 |
transcript.pyannote[133].end |
521.02971875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
521.55284375 |
transcript.pyannote[134].end |
522.00846875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
522.56534375 |
transcript.pyannote[135].end |
528.96096875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
529.19721875 |
transcript.pyannote[136].end |
531.94784375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
532.62284375 |
transcript.pyannote[137].end |
537.36471875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
537.38159375 |
transcript.pyannote[138].end |
538.86659375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
537.71909375 |
transcript.pyannote[139].end |
537.78659375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
539.35596875 |
transcript.pyannote[140].end |
545.93721875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
546.49409375 |
transcript.pyannote[141].end |
549.85221875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
551.11784375 |
transcript.pyannote[142].end |
552.36659375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
552.90659375 |
transcript.pyannote[143].end |
553.46346875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
554.12159375 |
transcript.pyannote[144].end |
554.86409375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
555.50534375 |
transcript.pyannote[145].end |
556.63596875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
557.02409375 |
transcript.pyannote[146].end |
558.66096875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
559.85909375 |
transcript.pyannote[147].end |
565.24221875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
565.81596875 |
transcript.pyannote[148].end |
566.42346875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
567.70596875 |
transcript.pyannote[149].end |
571.14846875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
571.77284375 |
transcript.pyannote[150].end |
572.19471875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
572.48159375 |
transcript.pyannote[151].end |
575.19846875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
576.66659375 |
transcript.pyannote[152].end |
577.27409375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
577.72971875 |
transcript.pyannote[153].end |
578.96159375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
580.63221875 |
transcript.pyannote[154].end |
583.53471875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
583.97346875 |
transcript.pyannote[155].end |
586.62284375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
587.82096875 |
transcript.pyannote[156].end |
597.74346875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
599.21159375 |
transcript.pyannote[157].end |
603.93659375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
605.13471875 |
transcript.pyannote[158].end |
610.88909375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
611.88471875 |
transcript.pyannote[159].end |
614.17971875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
615.22596875 |
transcript.pyannote[160].end |
618.61784375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
619.69784375 |
transcript.pyannote[161].end |
621.45284375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
622.26284375 |
transcript.pyannote[162].end |
624.81096875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
626.14409375 |
transcript.pyannote[163].end |
630.54846875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
631.86471875 |
transcript.pyannote[164].end |
634.51409375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
635.42534375 |
transcript.pyannote[165].end |
637.80471875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
638.12534375 |
transcript.pyannote[166].end |
638.96909375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
640.45409375 |
transcript.pyannote[167].end |
640.79159375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
641.39909375 |
transcript.pyannote[168].end |
643.28909375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
643.64346875 |
transcript.pyannote[169].end |
645.22971875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
646.00596875 |
transcript.pyannote[170].end |
649.60034375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
650.35971875 |
transcript.pyannote[171].end |
652.73909375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
653.76846875 |
transcript.pyannote[172].end |
657.26159375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
658.22346875 |
transcript.pyannote[173].end |
659.38784375 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
660.61971875 |
transcript.pyannote[174].end |
679.73909375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
680.46471875 |
transcript.pyannote[175].end |
681.51096875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
682.30409375 |
transcript.pyannote[176].end |
685.54409375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
686.67471875 |
transcript.pyannote[177].end |
691.14659375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
691.19721875 |
transcript.pyannote[178].end |
692.02409375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
692.85096875 |
transcript.pyannote[179].end |
693.94784375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
694.55534375 |
transcript.pyannote[180].end |
695.82096875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
696.15846875 |
transcript.pyannote[181].end |
698.87534375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
699.04409375 |
transcript.pyannote[182].end |
701.71034375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
702.43596875 |
transcript.pyannote[183].end |
717.94409375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
720.28971875 |
transcript.pyannote[184].end |
725.53784375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
725.77409375 |
transcript.pyannote[185].end |
727.64721875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
725.95971875 |
transcript.pyannote[186].end |
726.21284375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
727.76534375 |
transcript.pyannote[187].end |
736.54034375 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
735.89909375 |
transcript.pyannote[188].end |
739.59471875 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
739.99971875 |
transcript.pyannote[189].end |
740.84346875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
740.99534375 |
transcript.pyannote[190].end |
758.12346875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
758.69721875 |
transcript.pyannote[191].end |
759.05159375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
759.47346875 |
transcript.pyannote[192].end |
761.73471875 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
762.49409375 |
transcript.pyannote[193].end |
766.62846875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
767.08409375 |
transcript.pyannote[194].end |
769.46346875 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
769.90221875 |
transcript.pyannote[195].end |
778.64346875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
779.31846875 |
transcript.pyannote[196].end |
789.05534375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
789.59534375 |
transcript.pyannote[197].end |
789.96659375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
790.96221875 |
transcript.pyannote[198].end |
796.73346875 |
transcript.whisperx[0].start |
3.857 |
transcript.whisperx[0].end |
28.342 |
transcript.whisperx[0].text |
謝謝主席 我們請次長跟民航局長陳次長還有何局長委員好 謝謝次長跟局長其實高雄機場我們這一陣子增加了很多的航班航線謝謝民航局其實都很大力的幫忙 |
transcript.whisperx[1].start |
30.202 |
transcript.whisperx[1].end |
41.281 |
transcript.whisperx[1].text |
那這一陣子其實我還做了很多的守航我還去日本岡山做守航回高雄還從高雄做守航到越南復國島 |
transcript.whisperx[2].start |
42.947 |
transcript.whisperx[2].end |
62.904 |
transcript.whisperx[2].text |
那本來泰國清邁首航正好六月份行程衝到我很想去所以沒有做到下個月我還會做高雄到熊本的首航到熊本去所以其實這一陣子當然民航局幫我們很多的忙我們先表示感謝那當然就是 |
transcript.whisperx[3].start |
64.298 |
transcript.whisperx[3].end |
87.427 |
transcript.whisperx[3].text |
我高雄的需求越來越多那當然需要再加強的就會越多所以我也經常跟局長煩不過就是說這個都是為了高雄好那為了我們的機場可以更順暢所以就會再悠巧的更多所以也麻煩次長跟局長 |
transcript.whisperx[4].start |
88.507 |
transcript.whisperx[4].end |
116.323 |
transcript.whisperx[4].text |
就這個部分其實今天我還會要求高雄機場有機會公事化的事所以這個也麻煩部長今天沒來幫我也跟部長轉達一下這個其實非常的重要我們先看這個停機過夜空間的問題我不懂因為就是目前我比較仔細的去查就是我們停車位有48席 |
transcript.whisperx[5].start |
118.715 |
transcript.whisperx[5].end |
135.619 |
transcript.whisperx[5].text |
那現在可以停的有36席那現在有在停的有26然後呢你再想一想就是後來我們航廈要再蓋那將來航廈202731席203239變成41跟47席比現在的48席還少 |
transcript.whisperx[6].start |
147.492 |
transcript.whisperx[6].end |
167.347 |
transcript.whisperx[6].text |
那我一直在想說我們其實我也跟局長要求跟拜託就是我們要想很遠這16年的施工期太長那我在中間到底有哪一些可以改變哪一些可以去加強的所以就這個停車空間坦白講 |
transcript.whisperx[7].start |
168.601 |
transcript.whisperx[7].end |
196.332 |
transcript.whisperx[7].text |
我們明天會再去看那明天會再去看遠東那兩架停了很久的飛機一直都沒有移走那遠東已經就沒有了就已經關掉了關掉了,他的飛機又停在我們的停機坪這不是很慘嗎那桃園機場公司已經把它移走了那我們高雄我本來還以為停一架結果還停了兩架 |
transcript.whisperx[8].start |
198.533 |
transcript.whisperx[8].end |
223.914 |
transcript.whisperx[8].text |
所以像這個停車空間是不是請局長跟我們解惑一下到底是怎麼樣才會有更大的停車空間謝謝委員的敦促我想在那個機坪的部分我們高雄機場有48個機坪那基本上就像委員所講的過去來講他會有12個席位他是認為說這12個機坪不能用 |
transcript.whisperx[9].start |
225.936 |
transcript.whisperx[9].end |
251.19 |
transcript.whisperx[9].text |
那在這一段時間我們重新盤整就是說這12個席位裡面有兩個大的機坪是供遠東用那這兩個大的我們會去做調整可能我們在短期內我們就會把它做調整把這兩個大機坪可能把遠東的飛機拉開會把它做成四個小機坪兩大變成四小什麼時候有機會完成我們會盡快來處理 |
transcript.whisperx[10].start |
252.831 |
transcript.whisperx[10].end |
268.645 |
transcript.whisperx[10].text |
就是說我們現在確定了我們就會來做這個動作把它拉開然後把機坪做這樣就可以增加4個停車空間對 至少增加2個停車空間對 2個就給遠東那剛剛講了12個裡面有2個大機坪是這樣那另外有一席是供EMS用的 |
transcript.whisperx[11].start |
269.325 |
transcript.whisperx[11].end |
289.925 |
transcript.whisperx[11].text |
就是那個緊急醫療後送的專機用那另外有一席這個停車位是機位它是因為有損壞一席兩席還好我看到的是差十席那剩下的八席就是我們檢討以後它可能是一些動線其實它是可以彈性調整使用 |
transcript.whisperx[12].start |
290.585 |
transcript.whisperx[12].end |
302.374 |
transcript.whisperx[12].text |
是的所以這樣講起來其實原本的48席真正不能用的大概是4席那裡面有8席是可以依時段或者是運用情形彈性調整所以整個來講應該是我們檢討以後會有44席是可以運用 |
transcript.whisperx[13].start |
305.736 |
transcript.whisperx[13].end |
326.105 |
transcript.whisperx[13].text |
然後至於在施工期間這邊有提到因為施工期間因為它是滑行道要北移所以有一些機坪這個登機樑梯的作業所以會有巴西會被影響那可是因為我們剛剛講我們有一些偵檢然後另外這個消防西側消防班西側部分我們也會在短期內時間有限謝謝局長就是說我剛聽到可以辨識的是洗 |
transcript.whisperx[14].start |
331.167 |
transcript.whisperx[14].end |
355.772 |
transcript.whisperx[14].text |
我就心裡充滿了喜悅以前沒有去要求大家都沒有都忽視了這些問題那今天我們正式的要求那局長也已經有預作準備也打算就說我們有可能先變成試洗除了緊急除了其他的特殊用途之外那遠東也會盡快把它移走所以 |
transcript.whisperx[15].start |
357.185 |
transcript.whisperx[15].end |
381.199 |
transcript.whisperx[15].text |
我覺得這對小港機場高雄機場是好事所以這個就要特別感謝局長盡快完成好不好因為其實我這一陣子拜訪了十幾家的航空公司誰跟我反應我就不講但是也有航空公司跟我反應就是他要停機的空間但是沒有所以他就進不到高雄了 |
transcript.whisperx[16].start |
382.748 |
transcript.whisperx[16].end |
410.305 |
transcript.whisperx[16].text |
所以這再再都會影響到高雄的經營的問題所以我想提供局長跟市長一個概念就是我們高雄演唱會經濟我們高雄現在這麼多的科技大廠到高雄來為什麼你知道嗎因為我們的市長其實秦邁市長有跟我提過我們就是很有生意去邀請人來你要什麼來我盡量跟你配合你有什麼需求我盡量來幫你設想 |
transcript.whisperx[17].start |
412.628 |
transcript.whisperx[17].end |
426.794 |
transcript.whisperx[17].text |
今天如果是一個公司,他要來A城市,我們高雄市我們是這種態度要去B城市,我都說不完心境啊,我也不一定,你要來,你要來照頂數啊這樣那個心態,你要想他會去對他 |
transcript.whisperx[18].start |
433.191 |
transcript.whisperx[18].end |
461.047 |
transcript.whisperx[18].text |
所以其實我們高雄這一陣子進步這麼大就是也謝謝我們齊邁市長事實上我們就是用這個態度在迎接科技大廠在迎接演唱會城市演唱會主辦單位所以這樣子我們才會跑這麼快那相對的就是香港機場高雄機場我希望態度決定高度 |
transcript.whisperx[19].start |
462.916 |
transcript.whisperx[19].end |
486.536 |
transcript.whisperx[19].text |
格局決定結局我覺得小港機場、高雄機場會不一樣還有很大的成長的空間我們看第二頁你可以看到桃園機場它的網站裡面這個字太小了什麼客運量、客貨量那包括那個CO2那個包括節能減碳 |
transcript.whisperx[20].start |
488.315 |
transcript.whisperx[20].end |
515.023 |
transcript.whisperx[20].text |
這些都已經在思考了有很多都已經在思考了我不知道我們高雄機場這些問題有都思考了嗎那有一個簡單的概念就是說當時在考慮桃園機場公司化的時候我想其實也有考慮到高雄機場公司化我知道這件事情不是很好做但是我認為這是一個好的方向 |
transcript.whisperx[21].start |
516.845 |
transcript.whisperx[21].end |
545.355 |
transcript.whisperx[21].text |
高雄機場,其實你現在比較機場公司化之後第一,員工的薪水也提高啦這個就是對員工來講也是一個利己的好處啦第二個,我剛才看那個監管分離港務公司跟航港局其實以前就是一個單位嘛,不會分開嘛其實我上個禮拜去參加港務公司一個物流公司的一個上樑的典禮 |
transcript.whisperx[22].start |
546.55 |
transcript.whisperx[22].end |
574.524 |
transcript.whisperx[22].text |
我聽到港務公司說我們港務公司集團我說這聽起來很有大氣也很有魄力港務公司集團其實你看台北港、雞南港、台中港、九龍港這真的很公司化之後業務的壓力公司的活力 |
transcript.whisperx[23].start |
576.681 |
transcript.whisperx[23].end |
603.223 |
transcript.whisperx[23].text |
坦白講真的有進步所以我就一直在思考高雄機場有沒有機會公司化那包括法治人士業務財務等等這個其實104年的時候桃園機場公司他們有做過可行性評估那我也跟局長反應過很多次就是說我高雄希望有接駁機 |
transcript.whisperx[24].start |
605.185 |
transcript.whisperx[24].end |
633.108 |
transcript.whisperx[24].text |
我們高雄人如果要來投降基座,回去出國40年,有沒有方便?我們要多行李,大車小車我們要坐輕輕車,沒有就坐捷運去高鐵站高鐵站再坐到投降,投降再坐捷運,沒有再坐輕輕車多大包小包的行李,半山多而已,來到投降所以如果有機會有接駁機的話 |
transcript.whisperx[25].start |
635.515 |
transcript.whisperx[25].end |
656.964 |
transcript.whisperx[25].text |
事實上我們就在高雄機場就登機可以省時間,可以省行李,這樣半山過年我覺得這個如果高雄機場有用心去思考我認為不是不可能做得到如果說,反正就隨時臨,有沒有都沒關係這樣就都沒有了 |
transcript.whisperx[26].start |
660.8 |
transcript.whisperx[26].end |
677.389 |
transcript.whisperx[26].text |
所以其實這陣子我再強調一次我很感謝民航局坦白講局長經常被我煩東煩西也解決了不少的問題我們也先表示感謝因為他們說有幫我們做我們要先感謝這樣大家做比較高興但是這個不一樣的翻轉我想這是一個 |
transcript.whisperx[27].start |
686.698 |
transcript.whisperx[27].end |
701.508 |
transcript.whisperx[27].text |
很重大的思考所以我今天也很正式的提出來就是說高雄機場公司化的問題我希望交通部跟民航局可以慎重的思考甚至其他的 |
transcript.whisperx[28].start |
702.726 |
transcript.whisperx[28].end |
717.571 |
transcript.whisperx[28].text |
類似港務公司跟航港局現在其實穩妥得很好監管分離 政企分離其實這是一個未來的走向所以希望說民航局可以正式地做一下思考 好不好 |
transcript.whisperx[29].start |
720.342 |
transcript.whisperx[29].end |
738.004 |
transcript.whisperx[29].text |
跟委員報告,這個部分我們在研議,因為淘機成立的時候我也在交通部然後當初有他成立的背景,然後港公司成立的方式也不一樣那他大概就是屬性不同,不過我想這個都是一個可以評估的議題我知道,我們今天是雨中心長,還是非常慎重 |
transcript.whisperx[30].start |
740.106 |
transcript.whisperx[30].end |
760.237 |
transcript.whisperx[30].text |
希望說我們高雄機場可以增加很多很多很好的很大的效率所以我長期在看我們高雄機場的所有的航班所有的機場的改變的發展所以我希望說民航局也能夠跟我用一樣的心境看12年以後 |
transcript.whisperx[31].start |
762.757 |
transcript.whisperx[31].end |
776.711 |
transcript.whisperx[31].text |
我這12年來,我新的行業發展好但是我中間還是不斷的在成長我想這是最重要的,不能說不斷的,我們12年斷的就歪掉了所以這個部分我希望高雄機場戰戰兢兢 |
transcript.whisperx[32].start |
779.363 |
transcript.whisperx[32].end |
788.792 |
transcript.whisperx[32].text |
我們看杜叔在背杜推 要很小心 要戰戰兢兢但是我們最後要看到 我們有信心 把它做好這樣好不好好 謝謝委員 我們會認真來處理好 謝謝次長 謝謝局長 |