IVOD_ID |
162755 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162755 |
日期 |
2025-06-23 |
會議資料.會議代碼 |
委員會-11-3-19-17 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第17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 |
17 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第3會期經濟委員會第17次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-06-23T09:17:16+08:00 |
結束時間 |
2025-06-23T09:29:27+08:00 |
影片長度 |
00:12:11 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/b58c4cf52db2e91aec5531dba9a04fd4b85017248ed72d8d5c7fa28b96d4b42c02348c06207a9cc95ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
陳亭妃 |
委員發言時間 |
09:17:16 - 09:29:27 |
會議時間 |
2025-06-23T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第17次全體委員會議(事由:邀請經濟部部長、國家發展委員會主任委員、交通部首長及國家科學及技術委員會首長就「因應高齡化社會,我國智慧公共運具發展及目標」進行報告,並備質詢。【6月23日及6月25日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.24596875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
10.98284375 |
transcript.pyannote[1].end |
15.30284375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
15.82596875 |
transcript.pyannote[2].end |
16.51784375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
23.50409375 |
transcript.pyannote[3].end |
24.26346875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
24.36471875 |
transcript.pyannote[4].end |
25.93409375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
26.25471875 |
transcript.pyannote[5].end |
29.79846875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
29.84909375 |
transcript.pyannote[6].end |
35.73846875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
36.10971875 |
transcript.pyannote[7].end |
37.64534375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
37.66221875 |
transcript.pyannote[8].end |
37.69596875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
37.78034375 |
transcript.pyannote[9].end |
66.50159375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
67.12596875 |
transcript.pyannote[10].end |
68.71221875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
68.93159375 |
transcript.pyannote[11].end |
70.36596875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
70.56846875 |
transcript.pyannote[12].end |
78.49971875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
79.24221875 |
transcript.pyannote[13].end |
80.67659375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
81.55409375 |
transcript.pyannote[14].end |
93.34971875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
93.94034375 |
transcript.pyannote[15].end |
96.82596875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
97.39971875 |
transcript.pyannote[16].end |
101.26409375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
102.12471875 |
transcript.pyannote[17].end |
102.37784375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
102.15846875 |
transcript.pyannote[18].end |
105.71909375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
105.90471875 |
transcript.pyannote[19].end |
114.30846875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
114.73034375 |
transcript.pyannote[20].end |
119.11784375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
119.79284375 |
transcript.pyannote[21].end |
120.19784375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
120.38346875 |
transcript.pyannote[22].end |
122.71221875 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
123.01596875 |
transcript.pyannote[23].end |
129.39471875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
129.56346875 |
transcript.pyannote[24].end |
133.17471875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
133.63034375 |
transcript.pyannote[25].end |
137.57909375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
137.86596875 |
transcript.pyannote[26].end |
151.55159375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
140.63346875 |
transcript.pyannote[27].end |
141.71346875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
151.70346875 |
transcript.pyannote[28].end |
158.85846875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
157.89659375 |
transcript.pyannote[29].end |
162.46971875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
162.89159375 |
transcript.pyannote[30].end |
168.03846875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
164.89971875 |
transcript.pyannote[31].end |
165.55784375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
168.49409375 |
transcript.pyannote[32].end |
184.82909375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
185.06534375 |
transcript.pyannote[33].end |
186.49971875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
186.65159375 |
transcript.pyannote[34].end |
188.03534375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
188.15346875 |
transcript.pyannote[35].end |
190.21221875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
191.14034375 |
transcript.pyannote[36].end |
192.43971875 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
193.26659375 |
transcript.pyannote[37].end |
201.83909375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
202.31159375 |
transcript.pyannote[38].end |
204.67409375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
205.12971875 |
transcript.pyannote[39].end |
235.50471875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
232.65284375 |
transcript.pyannote[40].end |
234.34034375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
235.11659375 |
transcript.pyannote[41].end |
237.64784375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
235.96034375 |
transcript.pyannote[42].end |
245.98409375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
246.23721875 |
transcript.pyannote[43].end |
247.11471875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
246.45659375 |
transcript.pyannote[44].end |
250.81034375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
251.58659375 |
transcript.pyannote[45].end |
259.14659375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
260.19284375 |
transcript.pyannote[46].end |
261.88034375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
262.72409375 |
transcript.pyannote[47].end |
266.09909375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
266.45346875 |
transcript.pyannote[48].end |
274.43534375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
274.06409375 |
transcript.pyannote[49].end |
274.36784375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
275.22846875 |
transcript.pyannote[50].end |
285.80909375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
276.86534375 |
transcript.pyannote[51].end |
277.00034375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
277.15221875 |
transcript.pyannote[52].end |
277.23659375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
281.30346875 |
transcript.pyannote[53].end |
281.37096875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
281.62409375 |
transcript.pyannote[54].end |
281.67471875 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
284.74596875 |
transcript.pyannote[55].end |
285.11721875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
285.15096875 |
transcript.pyannote[56].end |
285.21846875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
286.19721875 |
transcript.pyannote[57].end |
288.74534375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
289.09971875 |
transcript.pyannote[58].end |
291.52971875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
291.14159375 |
transcript.pyannote[59].end |
291.69846875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
291.78284375 |
transcript.pyannote[60].end |
292.67721875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
293.31846875 |
transcript.pyannote[61].end |
293.62221875 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
293.62221875 |
transcript.pyannote[62].end |
303.91596875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
294.19596875 |
transcript.pyannote[63].end |
294.88784375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
304.35471875 |
transcript.pyannote[64].end |
320.16659375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
307.88159375 |
transcript.pyannote[65].end |
308.10096875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
318.05721875 |
transcript.pyannote[66].end |
318.37784375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
319.81221875 |
transcript.pyannote[67].end |
326.68034375 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
320.63909375 |
transcript.pyannote[68].end |
321.48284375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
325.07721875 |
transcript.pyannote[69].end |
326.12346875 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
326.68034375 |
transcript.pyannote[70].end |
327.84471875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
327.11909375 |
transcript.pyannote[71].end |
338.72909375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
333.83534375 |
transcript.pyannote[72].end |
334.13909375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
336.16409375 |
transcript.pyannote[73].end |
336.58596875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
339.03284375 |
transcript.pyannote[74].end |
345.02346875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
340.28159375 |
transcript.pyannote[75].end |
340.80471875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
342.77909375 |
transcript.pyannote[76].end |
342.79596875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
342.79596875 |
transcript.pyannote[77].end |
343.13346875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
345.24284375 |
transcript.pyannote[78].end |
348.71909375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
345.56346875 |
transcript.pyannote[79].end |
345.83346875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
348.26346875 |
transcript.pyannote[80].end |
351.43596875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
349.73159375 |
transcript.pyannote[81].end |
353.37659375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
352.31346875 |
transcript.pyannote[82].end |
361.61159375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
361.07159375 |
transcript.pyannote[83].end |
365.44221875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
366.23534375 |
transcript.pyannote[84].end |
368.19284375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
369.08721875 |
transcript.pyannote[85].end |
369.32346875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
369.54284375 |
transcript.pyannote[86].end |
373.93034375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
373.96409375 |
transcript.pyannote[87].end |
373.98096875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
374.06534375 |
transcript.pyannote[88].end |
379.21221875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
379.41471875 |
transcript.pyannote[89].end |
384.57846875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
385.28721875 |
transcript.pyannote[90].end |
388.07159375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
388.47659375 |
transcript.pyannote[91].end |
390.11346875 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
390.24846875 |
transcript.pyannote[92].end |
392.08784375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
392.08784375 |
transcript.pyannote[93].end |
392.69534375 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
392.69534375 |
transcript.pyannote[94].end |
392.71221875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
392.71221875 |
transcript.pyannote[95].end |
392.72909375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
393.03284375 |
transcript.pyannote[96].end |
428.08221875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
428.40284375 |
transcript.pyannote[97].end |
485.74409375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
486.08159375 |
transcript.pyannote[98].end |
497.18534375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
497.64096875 |
transcript.pyannote[99].end |
570.22034375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
499.53096875 |
transcript.pyannote[100].end |
500.03721875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
571.38471875 |
transcript.pyannote[101].end |
576.44721875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
576.46409375 |
transcript.pyannote[102].end |
578.10096875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
578.80971875 |
transcript.pyannote[103].end |
579.36659375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
579.90659375 |
transcript.pyannote[104].end |
580.41284375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
580.98659375 |
transcript.pyannote[105].end |
582.37034375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
582.82596875 |
transcript.pyannote[106].end |
583.77096875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
584.32784375 |
transcript.pyannote[107].end |
585.52596875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
586.30221875 |
transcript.pyannote[108].end |
588.31034375 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
588.14159375 |
transcript.pyannote[109].end |
588.29346875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
588.31034375 |
transcript.pyannote[110].end |
588.93471875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
588.93471875 |
transcript.pyannote[111].end |
591.19596875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
592.12409375 |
transcript.pyannote[112].end |
599.43096875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
600.03846875 |
transcript.pyannote[113].end |
601.72596875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
602.26596875 |
transcript.pyannote[114].end |
618.04409375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
618.39846875 |
transcript.pyannote[115].end |
619.68096875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
619.83284375 |
transcript.pyannote[116].end |
621.73971875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
622.61721875 |
transcript.pyannote[117].end |
626.21159375 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
624.37221875 |
transcript.pyannote[118].end |
624.86159375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
626.21159375 |
transcript.pyannote[119].end |
631.40909375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
631.56096875 |
transcript.pyannote[120].end |
637.12971875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
637.34909375 |
transcript.pyannote[121].end |
646.15784375 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
646.19159375 |
transcript.pyannote[122].end |
648.79034375 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
649.07721875 |
transcript.pyannote[123].end |
654.51096875 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
654.83159375 |
transcript.pyannote[124].end |
658.27409375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
657.85221875 |
transcript.pyannote[125].end |
678.49034375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
661.64909375 |
transcript.pyannote[126].end |
662.08784375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
678.72659375 |
transcript.pyannote[127].end |
699.97221875 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
680.66721875 |
transcript.pyannote[128].end |
680.97096875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
680.97096875 |
transcript.pyannote[129].end |
681.00471875 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
698.60534375 |
transcript.pyannote[130].end |
698.89221875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
699.97221875 |
transcript.pyannote[131].end |
708.37596875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
708.74721875 |
transcript.pyannote[132].end |
712.45971875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
712.61159375 |
transcript.pyannote[133].end |
723.58034375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
713.50596875 |
transcript.pyannote[134].end |
714.11346875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
723.85034375 |
transcript.pyannote[135].end |
724.93034375 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
724.94721875 |
transcript.pyannote[136].end |
728.50784375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
725.63909375 |
transcript.pyannote[137].end |
730.12784375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
729.16596875 |
transcript.pyannote[138].end |
730.80284375 |
transcript.whisperx[0].start |
0.029 |
transcript.whisperx[0].end |
11.74 |
transcript.whisperx[0].text |
謝謝主席我們是請江東浦次長林次長 |
transcript.whisperx[1].start |
23.833 |
transcript.whisperx[1].end |
47.555 |
transcript.whisperx[1].text |
市長早市長早市長我想我們交通部有推出很多智慧運輸系統整個發展的一個串聯但是我想我們有沒有盤點過到底我們在各地長者跟身心障礙者的需求跟我們現在所規劃的 |
transcript.whisperx[2].start |
49.056 |
transcript.whisperx[2].end |
78.276 |
transcript.whisperx[2].text |
包括幸福巴士幸福小黃或是智慧運輸系統真正或是我們TPAS所有你有沒有把你的專案計畫統整過對於我們年長者因為依照我們現在所有的資料顯示我們的長者是越來越多需要的人也越來越多雖然我們現在有長照可是我們更希望我們的長者是能夠利用 |
transcript.whisperx[3].start |
79.817 |
transcript.whisperx[3].end |
100.471 |
transcript.whisperx[3].text |
機會走出來的我覺得長照我們要做在前面是讓他們可以走出來去看很多的地方走遍很多的地方包括他的就醫包括他的所有交通的網絡他是沒有問題的所以如果網絡沒有問題他當然就不用自己開車了 |
transcript.whisperx[4].start |
102.388 |
transcript.whisperx[4].end |
118.95 |
transcript.whisperx[4].text |
如果網路可以OK的話那我相信我們就可以排除所謂在後端我們擔心是不是長者開車會不安全的問題所以這個部分其實都是一關一關連結在一起的 |
transcript.whisperx[5].start |
119.844 |
transcript.whisperx[5].end |
137.314 |
transcript.whisperx[5].text |
那次長我們交通部有沒有盤整過謝謝委員您提的非常重要那要盤整高齡者的運輸需求大概就像您提的要把他的區塊稍微區隔出來以類似屬於身心健康其實現在高齡者有很多 |
transcript.whisperx[6].start |
138.655 |
transcript.whisperx[6].end |
162.134 |
transcript.whisperx[6].text |
活动能力跟身体健康程度非常棒的非常好所以像这一类的我们鼓励他出游所以目前很明显的高速铁路台铁我们的国道科研一般公路科研甚至公车我们都有半价的高龄者的使用优惠所以这个部分是没有问题其实不是半价的问题65岁以上基本上 |
transcript.whisperx[7].start |
162.955 |
transcript.whisperx[7].end |
191.997 |
transcript.whisperx[7].text |
他的搭乘都本來就有優惠了現在是說這個網絡你今天從偏鄉要出來我都看到說哇你們對於偏鄉有一些推動幸福巴士幸福小航那請問你們的偏鄉你們著重點在哪裡請問如果台南市台南市是都喔是直轄市喔可是他在山區他算不算偏鄉 |
transcript.whisperx[8].start |
193.585 |
transcript.whisperx[8].end |
216.383 |
transcript.whisperx[8].text |
包委員您提的是重點偏鄉裡面就是地方政府認為它那個地方是屬於比較偏遠的譬如說我們台南地區像山上南西玉井以上有些主要路線沒有服務到的地方我們都可以來認定但是基本上目前的做法是如果那個地方有公共運輸固定路線我們基本上是不屬於偏鄉地段 |
transcript.whisperx[9].start |
216.903 |
transcript.whisperx[9].end |
245.589 |
transcript.whisperx[9].text |
那如果完全都没有公共运输路线可以服务甚至招商的过程没有人愿意那我们就纳入这个计划来处理所以您提的很重要里面我们有一个幸福巴士是属于小巴中巴之类的服务那比较弹性还有幸福小王啊因为幸福小王才是关键啊幸福小王就是用计程车来担任公共运输路线的服务他的付出票就要跟公共运输一样 |
transcript.whisperx[10].start |
246.489 |
transcript.whisperx[10].end |
258.842 |
transcript.whisperx[10].text |
所以其實我們一直在談的就是說你所謂的偏鄉沒錯如果說今天他有公車路線可以經過可是公車路線經過的班次沒那麼多那這個部分又怎麼認定 |
transcript.whisperx[11].start |
262.859 |
transcript.whisperx[11].end |
292.419 |
transcript.whisperx[11].text |
因為公車它還是會有所謂的這個所謂消費的問題跟狀況嘛它也不可以給你開一條線說我都了解的雖然我們現在要補貼可是這個還是補貼不足啊所以它還是會有運量的問題如果運量不足它還是不會開那條線可是就算開了可能就是一般可能在上下學的時候開了一般 |
transcript.whisperx[12].start |
293.359 |
transcript.whisperx[12].end |
314.587 |
transcript.whisperx[12].text |
那委員您提出重點我們固定路線的公共運輸因為固定班次嘛那會根據需求來那如果他的需求比較偏重就學或一般的上班可能他的時間跟高齡者的使用時間不一樣完全不同啊那我們也可以鼓我們也鼓勵縣市政府把這一類的提報幸福小黃或是幸福巴士的補充路線 |
transcript.whisperx[13].start |
315.387 |
transcript.whisperx[13].end |
338.433 |
transcript.whisperx[13].text |
所以這個並不違背他提報原則可以就可以了只是說到時候在審查因為你剛剛有說啊他第一個優先要件就是說要公車路線沒有抵達的地方嘛對啊但是如果說公車路線他可能限定的是上學下學的下學那個這個下課的時間所以他有可能在這個部分 |
transcript.whisperx[14].start |
339.113 |
transcript.whisperx[14].end |
367.474 |
transcript.whisperx[14].text |
他就卡住了那你說喔這個次長有說了他如果在時間上沒有辦法符合長者或身心障礙者的需求我們就導入也可以導入我們的幸福巴士或幸福小房所以你看我剛剛的報告裡面有把固定路線可以調整成彈性路線這個都有縣市政府或鄉鎮公所來提出來所以我們是有這樣的一個彈性不是硬梆梆的 |
transcript.whisperx[15].start |
369.584 |
transcript.whisperx[15].end |
384.035 |
transcript.whisperx[15].text |
因為我們很擔心我們直轄市現在實在是有點好像切身為民好像直轄市的資源很多其實不是我們有時候在所謂的偏鄉明明我們山區就是偏鄉 |
transcript.whisperx[16].start |
385.356 |
transcript.whisperx[16].end |
402.354 |
transcript.whisperx[16].text |
可是在很多的條件當中又會被排除掉其實這是很不公平的好 市長跟委員報告一下委員剛剛講的確實是一個很重要的課題所以如果說像台南市有一些這個比較偏遠地區原來固定路線一天只開一班兩班 |
transcript.whisperx[17].start |
403.775 |
transcript.whisperx[17].end |
427.332 |
transcript.whisperx[17].text |
那中間沒有辦事的話 那這個部分我們都跟台南市政府來合作將原來的固定路線轉成那個幸福巴士的這個路線可以用中8或9人座或者是計程車來加密這個頻率那目前這個台南市也在像很多比較偏向的地方山上也推了很多小房的這個路線這個部分我們會跟台南市政府繼續來做這個合作 |
transcript.whisperx[18].start |
428.433 |
transcript.whisperx[18].end |
453.439 |
transcript.whisperx[18].text |
好 那另外一個部分就是說在我們智慧運輸系統發展建設計畫裡面我們現在台南有推出三個一個是我們東區域農路運輸走廊暨多叉路口的交通改善計畫另外一個部分是AI道安分析暨路口改善專家資源系統建置計畫另外一個部分是 |
transcript.whisperx[19].start |
454.98 |
transcript.whisperx[19].end |
469.631 |
transcript.whisperx[19].text |
114年台南市視障與弱勢行車行人與對車警告的系統計畫那這個部分我們東區運農路這個部分114年是1573萬然後AI道安分析入口的專家資源系統是503萬114年台南市視障與弱勢行人這個警告系統的計畫是252萬 |
transcript.whisperx[20].start |
484.002 |
transcript.whisperx[20].end |
499.161 |
transcript.whisperx[20].text |
好 這個目前我們都提出了那這個市政府也依6月12號審查意見在修正當中那這個部分要麻煩我們交通部要優先來配合 |
transcript.whisperx[21].start |
500.042 |
transcript.whisperx[21].end |
514.689 |
transcript.whisperx[21].text |
協助處理因為這個都是屬於我們入口危險的部分而且我們都希望說可以透過整個AI的分析來改善我們所有相關的一個智慧化因為 |
transcript.whisperx[22].start |
515.829 |
transcript.whisperx[22].end |
541.244 |
transcript.whisperx[22].text |
AI的狀況還有另外一點就是整個連線的部分怎麼所有做總檢討我覺得這個都要利用我們的整個計畫去協助雖然我們現在一直不斷的在每個月都有到案彙報可是到案彙報之後彙整起來包括我們發現現在其實很多點都沒有連線其實沒有連線是很危險的 |
transcript.whisperx[23].start |
542.805 |
transcript.whisperx[23].end |
569.652 |
transcript.whisperx[23].text |
所以在整個所謂高齡化或這個身心障礙者的智慧運具或是整個AI先進技術還有智慧化如何滿足所有通勤者的需求除了我們前面三項的計畫拜託我們交通部要趕快核准之外我們希望我們能夠對於我們市府很多高齡化還有身心障礙者的運具 |
transcript.whisperx[24].start |
571.445 |
transcript.whisperx[24].end |
589.992 |
transcript.whisperx[24].text |
好剛剛我談的那個部分要怎麼協助要整個串聯串聯真的很重要啦其實市長其實交通運輸沒有串聯什麼都白搭啦他的使用度就不高啦如果你要讓他再轉車 |
transcript.whisperx[25].start |
592.182 |
transcript.whisperx[25].end |
621.502 |
transcript.whisperx[25].text |
你要教高齡化人口怎麼轉車長者怎麼轉車身心障礙者怎麼轉車那是不可能的嘛他就是要一次到位嘛所以當沒有串聯的話沒有利用我們智慧運具基本上那是沒有辦法的所以我們怎麼協助市政府去做更多的這些規劃利用我們AI的技術智慧化的技術去滿足他們的需求還有通勤者的需求 |
transcript.whisperx[26].start |
623.283 |
transcript.whisperx[26].end |
648.483 |
transcript.whisperx[26].text |
點線面的串聯其實是比什麼更重要是謝謝委員您提的蠻重要的縣市政府或地方政府要非常清楚他們的不同地區高齡者的需求是什麼那您剛剛提到的一個是進入點就是接觸資訊的這個來源第二個是中間通行的路徑第三個是當地的場站能不能符合他的需求再來當然是上車以後的路線這個那三個計畫我們已經審查 |
transcript.whisperx[27].start |
651.665 |
transcript.whisperx[27].end |
678.146 |
transcript.whisperx[27].text |
完了再修正重所以应该会全力来支持谢谢委员我们大概再跟县政府一起合作再麻烦市长再跟我们市政府交通局这个部分因为我觉得我们不能是一个大计划在上面其实我们应该要深入没错深入的部分是市政府要做县市政府要做可是我们交通部怎么协助他们整个做串联 |
transcript.whisperx[28].start |
679.186 |
transcript.whisperx[28].end |
707.992 |
transcript.whisperx[28].text |
那個關鍵很重要串聯你那個審核的機制你一定要把這個前提擺在上面讓他們可以串聯點線面串聯讓他們在整個交通的一個轉運是沒有問題的那麼他的承搭率才會高運量才會高公共運輸服務裡面有個叫無縫化的過程所以這一塊我們也會透過無障礙小組我們每個機關都有一個無障礙小組 |
transcript.whisperx[29].start |
708.812 |
transcript.whisperx[29].end |
729.198 |
transcript.whisperx[29].text |
那我们跟王明德局长也常在互动所以这一块应该没有问题再麻烦一下我觉得这个对于我们所听到的长者的需求或是我们身心障碍者的需求他的原则最重要的是无缝接轨无缝接轨这个部分才是重要的谢谢 |