IVOD_ID |
161220 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161220 |
日期 |
2025-05-12 |
會議資料.會議代碼 |
委員會-11-3-23-11 |
會議資料.會議代碼:str |
第11屆第3會期交通委員會第11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 |
11 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
23 |
會議資料.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11次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-12T12:33:49+08:00 |
結束時間 |
2025-05-12T12:44:20+08:00 |
影片長度 |
00:10:31 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/2e24114430e85d52fe0919111421af49988fdfbeb5b6687585e0b6e5cd30ed73d7dcd980b23cef445ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
許智傑 |
委員發言時間 |
12:33:49 - 12:44:20 |
會議時間 |
2025-05-12T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期交通委員會第11次全體委員會議(事由:一、審查(一)委員吳宗憲等17人、(二)委員賴士葆等28人、(三)委員楊瓊瓔等26人分別擬具「人工智慧基本法草案」及(四)台灣民眾黨黨團擬具「人工智慧發展及管理條例草案」案。
二、審查(一)委員林俊憲等23人擬具「公路法第二十七條、第二十八條及第七十五條條文修正草案」、(二)委員陳冠廷等18人、(三)委員徐富癸等17人分別擬具「公路法第三十二條條文修正草案」、(四)委員陳冠廷等16人擬具「公路法第三十三條條文修正草案」、(五)台灣民眾黨黨團、(六)委員馬文君等19人、(七)委員邱若華等17人分別擬具「公路法第三十九條之一條文修正草案」、(八)委員何欣純等18人擬具「公路法第四十六條及第六十條之一條文修正草案」、(九)委員王義川等16人擬具「公路法第六十五條條文修正草案」及(十)委員林俊憲等21人擬具「公路法第七十二條條文修正草案」案。
三、審查(一)委員林俊憲等22人擬具「停車場法第四條條文修正草案」、(二)委員廖先翔等17人擬具「停車場法第三十二條條文修正草案」及(三)台灣民眾黨黨團擬具「停車場法第三十八條條文修正草案」案。
【本日會議僅針對開會事由二及三進行合併詢答】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
3.30471875 |
transcript.pyannote[0].end |
5.61659375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
6.20721875 |
transcript.pyannote[1].end |
7.62471875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
12.50159375 |
transcript.pyannote[2].end |
13.22721875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
14.32409375 |
transcript.pyannote[3].end |
23.06534375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
23.06534375 |
transcript.pyannote[4].end |
23.09909375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
23.09909375 |
transcript.pyannote[5].end |
23.14971875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
23.63909375 |
transcript.pyannote[6].end |
32.59971875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
28.53284375 |
transcript.pyannote[7].end |
29.42721875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
32.59971875 |
transcript.pyannote[8].end |
32.61659375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
32.80221875 |
transcript.pyannote[9].end |
33.39284375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
33.94971875 |
transcript.pyannote[10].end |
34.65846875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
35.23221875 |
transcript.pyannote[11].end |
37.81409375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
38.11784375 |
transcript.pyannote[12].end |
39.73784375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
39.73784375 |
transcript.pyannote[13].end |
80.91284375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
50.50409375 |
transcript.pyannote[14].end |
51.04409375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
56.24159375 |
transcript.pyannote[15].end |
56.71409375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
57.50721875 |
transcript.pyannote[16].end |
57.94596875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
64.44284375 |
transcript.pyannote[17].end |
64.51034375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
73.15034375 |
transcript.pyannote[18].end |
73.33596875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
73.84221875 |
transcript.pyannote[19].end |
73.89284375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
75.54659375 |
transcript.pyannote[20].end |
78.43221875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
79.32659375 |
transcript.pyannote[21].end |
81.97596875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
81.97596875 |
transcript.pyannote[22].end |
82.75221875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
82.75221875 |
transcript.pyannote[23].end |
83.29221875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
83.29221875 |
transcript.pyannote[24].end |
83.42721875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
83.42721875 |
transcript.pyannote[25].end |
83.74784375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
83.74784375 |
transcript.pyannote[26].end |
83.76471875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
83.84909375 |
transcript.pyannote[27].end |
83.86596875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
83.86596875 |
transcript.pyannote[28].end |
92.59034375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
88.03409375 |
transcript.pyannote[29].end |
89.01284375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
89.24909375 |
transcript.pyannote[30].end |
89.28284375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
92.59034375 |
transcript.pyannote[31].end |
99.00284375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
100.50471875 |
transcript.pyannote[32].end |
105.43221875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
103.17096875 |
transcript.pyannote[33].end |
103.42409375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
105.97221875 |
transcript.pyannote[34].end |
123.03284375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
106.00596875 |
transcript.pyannote[35].end |
106.63034375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
109.71846875 |
transcript.pyannote[36].end |
110.12346875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
117.29534375 |
transcript.pyannote[37].end |
119.75909375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
121.86846875 |
transcript.pyannote[38].end |
122.93159375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
123.03284375 |
transcript.pyannote[39].end |
126.47534375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
125.05784375 |
transcript.pyannote[40].end |
125.95221875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
126.88034375 |
transcript.pyannote[41].end |
128.39909375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
129.19221875 |
transcript.pyannote[42].end |
130.03596875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
130.15409375 |
transcript.pyannote[43].end |
133.30971875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
135.06471875 |
transcript.pyannote[44].end |
135.53721875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
136.17846875 |
transcript.pyannote[45].end |
139.04721875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
142.60784375 |
transcript.pyannote[46].end |
148.66596875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
144.58221875 |
transcript.pyannote[47].end |
147.68721875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
148.76721875 |
transcript.pyannote[48].end |
153.62721875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
154.25159375 |
transcript.pyannote[49].end |
155.50034375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
156.64784375 |
transcript.pyannote[50].end |
158.80784375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
160.29284375 |
transcript.pyannote[51].end |
162.55409375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
162.68909375 |
transcript.pyannote[52].end |
167.68409375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
168.79784375 |
transcript.pyannote[53].end |
172.25721875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
172.81409375 |
transcript.pyannote[54].end |
173.43846875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
173.80971875 |
transcript.pyannote[55].end |
178.87221875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
179.81721875 |
transcript.pyannote[56].end |
183.56346875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
185.01471875 |
transcript.pyannote[57].end |
189.14909375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
189.09846875 |
transcript.pyannote[58].end |
191.32596875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
191.73096875 |
transcript.pyannote[59].end |
201.29909375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
202.22721875 |
transcript.pyannote[60].end |
204.01596875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
204.80909375 |
transcript.pyannote[61].end |
209.34846875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
211.40721875 |
transcript.pyannote[62].end |
211.42409375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
211.42409375 |
transcript.pyannote[63].end |
216.35159375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
213.92159375 |
transcript.pyannote[64].end |
214.19159375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
215.94659375 |
transcript.pyannote[65].end |
219.86159375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
220.18221875 |
transcript.pyannote[66].end |
220.45221875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
220.87409375 |
transcript.pyannote[67].end |
221.63346875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
222.08909375 |
transcript.pyannote[68].end |
223.74284375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
225.21096875 |
transcript.pyannote[69].end |
225.90284375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
226.81409375 |
transcript.pyannote[70].end |
228.31596875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
228.45096875 |
transcript.pyannote[71].end |
229.71659375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
230.94846875 |
transcript.pyannote[72].end |
232.82159375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
233.69909375 |
transcript.pyannote[73].end |
235.08284375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
237.68159375 |
transcript.pyannote[74].end |
239.48721875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
240.55034375 |
transcript.pyannote[75].end |
241.36034375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
241.46159375 |
transcript.pyannote[76].end |
242.71034375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
243.43596875 |
transcript.pyannote[77].end |
244.81971875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
246.22034375 |
transcript.pyannote[78].end |
248.02596875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
249.00471875 |
transcript.pyannote[79].end |
252.26159375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
252.98721875 |
transcript.pyannote[80].end |
255.04596875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
256.58159375 |
transcript.pyannote[81].end |
266.04846875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
266.43659375 |
transcript.pyannote[82].end |
274.01346875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
269.50784375 |
transcript.pyannote[83].end |
270.01409375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
270.53721875 |
transcript.pyannote[84].end |
275.07659375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
275.44784375 |
transcript.pyannote[85].end |
275.46471875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
275.46471875 |
transcript.pyannote[86].end |
278.16471875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
276.69659375 |
transcript.pyannote[87].end |
277.05096875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
278.16471875 |
transcript.pyannote[88].end |
278.89034375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
278.89034375 |
transcript.pyannote[89].end |
281.82659375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
282.70409375 |
transcript.pyannote[90].end |
284.35784375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
284.69534375 |
transcript.pyannote[91].end |
285.40409375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
285.40409375 |
transcript.pyannote[92].end |
287.09159375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
287.59784375 |
transcript.pyannote[93].end |
288.35721875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
288.39096875 |
transcript.pyannote[94].end |
289.62284375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
290.82096875 |
transcript.pyannote[95].end |
291.69846875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
292.79534375 |
transcript.pyannote[96].end |
294.26346875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
296.82846875 |
transcript.pyannote[97].end |
306.56534375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
302.24534375 |
transcript.pyannote[98].end |
302.86971875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
304.43909375 |
transcript.pyannote[99].end |
307.13909375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
307.76346875 |
transcript.pyannote[100].end |
315.03659375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
313.09596875 |
transcript.pyannote[101].end |
314.54721875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
315.03659375 |
transcript.pyannote[102].end |
315.79596875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
315.45846875 |
transcript.pyannote[103].end |
315.88034375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
315.88034375 |
transcript.pyannote[104].end |
316.53846875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
316.47096875 |
transcript.pyannote[105].end |
316.94346875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
316.82534375 |
transcript.pyannote[106].end |
316.92659375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
316.94346875 |
transcript.pyannote[107].end |
318.47909375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
319.01909375 |
transcript.pyannote[108].end |
325.11096875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
325.73534375 |
transcript.pyannote[109].end |
334.17284375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
327.42284375 |
transcript.pyannote[110].end |
329.00909375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
329.97096875 |
transcript.pyannote[111].end |
330.69659375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
331.20284375 |
transcript.pyannote[112].end |
337.36221875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
337.93596875 |
transcript.pyannote[113].end |
342.47534375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
343.09971875 |
transcript.pyannote[114].end |
345.04034375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
345.66471875 |
transcript.pyannote[115].end |
347.11596875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
347.52096875 |
transcript.pyannote[116].end |
349.69784375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
352.78596875 |
transcript.pyannote[117].end |
355.03034375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
355.41846875 |
transcript.pyannote[118].end |
356.80221875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
357.15659375 |
transcript.pyannote[119].end |
357.49409375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
358.11846875 |
transcript.pyannote[120].end |
360.04221875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
360.54846875 |
transcript.pyannote[121].end |
366.47159375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
367.06221875 |
transcript.pyannote[122].end |
369.89721875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
370.79159375 |
transcript.pyannote[123].end |
372.29346875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
374.68971875 |
transcript.pyannote[124].end |
376.30971875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
376.93409375 |
transcript.pyannote[125].end |
378.08159375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
378.55409375 |
transcript.pyannote[126].end |
379.83659375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
380.14034375 |
transcript.pyannote[127].end |
380.98409375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
381.16971875 |
transcript.pyannote[128].end |
381.84471875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
382.11471875 |
transcript.pyannote[129].end |
382.77284375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
384.20721875 |
transcript.pyannote[130].end |
385.35471875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
386.48534375 |
transcript.pyannote[131].end |
387.58221875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
387.81846875 |
transcript.pyannote[132].end |
395.32784375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
395.41221875 |
transcript.pyannote[133].end |
396.52596875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
397.06596875 |
transcript.pyannote[134].end |
397.79159375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
398.23034375 |
transcript.pyannote[135].end |
399.96846875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
401.38596875 |
transcript.pyannote[136].end |
402.06096875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
402.22971875 |
transcript.pyannote[137].end |
404.17034375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
404.92971875 |
transcript.pyannote[138].end |
406.02659375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
406.58346875 |
transcript.pyannote[139].end |
409.23284375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
409.95846875 |
transcript.pyannote[140].end |
411.15659375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
411.79784375 |
transcript.pyannote[141].end |
414.56534375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
418.12596875 |
transcript.pyannote[142].end |
432.60471875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
426.71534375 |
transcript.pyannote[143].end |
432.30096875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
432.60471875 |
transcript.pyannote[144].end |
438.30846875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
438.84846875 |
transcript.pyannote[145].end |
445.27784375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
446.17221875 |
transcript.pyannote[146].end |
447.84284375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
448.78784375 |
transcript.pyannote[147].end |
449.71596875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
450.44159375 |
transcript.pyannote[148].end |
451.09971875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
451.63971875 |
transcript.pyannote[149].end |
452.58471875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
454.32284375 |
transcript.pyannote[150].end |
455.16659375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
455.52096875 |
transcript.pyannote[151].end |
458.42346875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
460.00971875 |
transcript.pyannote[152].end |
461.39346875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
462.33846875 |
transcript.pyannote[153].end |
464.19471875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
465.20721875 |
transcript.pyannote[154].end |
466.72596875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
467.48534375 |
transcript.pyannote[155].end |
470.10096875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
470.79284375 |
transcript.pyannote[156].end |
472.58159375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
472.93596875 |
transcript.pyannote[157].end |
473.62784375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
474.21846875 |
transcript.pyannote[158].end |
475.23096875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
478.63971875 |
transcript.pyannote[159].end |
478.96034375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
479.88846875 |
transcript.pyannote[160].end |
482.01471875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
484.37721875 |
transcript.pyannote[161].end |
484.78221875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
485.81159375 |
transcript.pyannote[162].end |
495.58221875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
495.80159375 |
transcript.pyannote[163].end |
499.26096875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
499.63221875 |
transcript.pyannote[164].end |
504.35721875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
505.08284375 |
transcript.pyannote[165].end |
506.16284375 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
506.98971875 |
transcript.pyannote[166].end |
508.27221875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
509.30159375 |
transcript.pyannote[167].end |
512.65971875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
513.53721875 |
transcript.pyannote[168].end |
516.42284375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
517.21596875 |
transcript.pyannote[169].end |
517.73909375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
518.27909375 |
transcript.pyannote[170].end |
521.67096875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
522.49784375 |
transcript.pyannote[171].end |
524.15159375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
524.37096875 |
transcript.pyannote[172].end |
525.51846875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
528.50534375 |
transcript.pyannote[173].end |
537.34784375 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
536.14971875 |
transcript.pyannote[174].end |
536.82471875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
537.34784375 |
transcript.pyannote[175].end |
537.46596875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
537.46596875 |
transcript.pyannote[176].end |
539.54159375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
537.49971875 |
transcript.pyannote[177].end |
546.46034375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
539.98034375 |
transcript.pyannote[178].end |
540.16596875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
547.42221875 |
transcript.pyannote[179].end |
549.91971875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
550.84784375 |
transcript.pyannote[180].end |
552.95721875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
553.32846875 |
transcript.pyannote[181].end |
554.64471875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
555.67409375 |
transcript.pyannote[182].end |
558.03659375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
558.37409375 |
transcript.pyannote[183].end |
559.20096875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
559.62284375 |
transcript.pyannote[184].end |
561.00659375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
561.93471875 |
transcript.pyannote[185].end |
562.96409375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
563.62221875 |
transcript.pyannote[186].end |
566.06909375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
566.64284375 |
transcript.pyannote[187].end |
568.76909375 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
569.51159375 |
transcript.pyannote[188].end |
574.13534375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
574.65846875 |
transcript.pyannote[189].end |
575.85659375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
577.18971875 |
transcript.pyannote[190].end |
583.78784375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
584.37846875 |
transcript.pyannote[191].end |
591.41534375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
592.42784375 |
transcript.pyannote[192].end |
595.39784375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
595.98846875 |
transcript.pyannote[193].end |
598.08096875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
598.26659375 |
transcript.pyannote[194].end |
606.02909375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
603.97034375 |
transcript.pyannote[195].end |
607.56471875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
606.97409375 |
transcript.pyannote[196].end |
607.42971875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
607.86846875 |
transcript.pyannote[197].end |
610.88909375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
610.85534375 |
transcript.pyannote[198].end |
618.39846875 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
618.39846875 |
transcript.pyannote[199].end |
619.02284375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
619.02284375 |
transcript.pyannote[200].end |
623.07284375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
623.29221875 |
transcript.pyannote[201].end |
625.18221875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
624.32159375 |
transcript.pyannote[202].end |
625.03034375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
625.18221875 |
transcript.pyannote[203].end |
626.09346875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
625.21596875 |
transcript.pyannote[204].end |
626.26221875 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
626.26221875 |
transcript.pyannote[205].end |
626.49846875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
626.49846875 |
transcript.pyannote[206].end |
626.51534375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
626.51534375 |
transcript.pyannote[207].end |
626.66721875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
626.66721875 |
transcript.pyannote[208].end |
627.46034375 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
626.75159375 |
transcript.pyannote[209].end |
627.42659375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
627.46034375 |
transcript.pyannote[210].end |
627.59534375 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
627.59534375 |
transcript.pyannote[211].end |
627.61221875 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
627.61221875 |
transcript.pyannote[212].end |
627.64596875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
627.88221875 |
transcript.pyannote[213].end |
628.28721875 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
628.77659375 |
transcript.pyannote[214].end |
630.49784375 |
transcript.whisperx[0].start |
3.322 |
transcript.whisperx[0].end |
6.244 |
transcript.whisperx[0].text |
好 謝謝主席 我們請次長好 請陳正事委員好 |
transcript.whisperx[1].start |
14.423 |
transcript.whisperx[1].end |
29.472 |
transcript.whisperx[1].text |
市長那個前瞻基礎建設改善停車問題的計畫現在用完了嗎經費目前的經費我的了解應該是已經執行完畢了已經執行完畢了應該是分配完畢了分配完畢那 |
transcript.whisperx[2].start |
34.151 |
transcript.whisperx[2].end |
58.579 |
transcript.whisperx[2].text |
還沒有交通部在邊境會在處理各縣市的停車問題我想跟委員報告一下有關這個停車的問題我想我們也了解委員很關心而且還有很多委員很關心所以我們大概做兩個方向在處理第一個是有關這個停車場的是因為要補助所以他有一個建設計畫那個要修正我們目前正在修正中 |
transcript.whisperx[3].start |
59.139 |
transcript.whisperx[3].end |
78.709 |
transcript.whisperx[3].text |
那另外一個是他這個要有相關的裁員因為已經分配完了嘛所以那個正在爭取相關的一個裁員那我的了解我們應該是放在前瞻的預算裡面前瞻新一期的前瞻就是在新一期的前瞻那經費說大概多少錢有沒有預估 |
transcript.whisperx[4].start |
83.971 |
transcript.whisperx[4].end |
94.207 |
transcript.whisperx[4].text |
我們大概原則上是60億啦60億啊對對但是最後是多少還是要看整個行政院的一個核心106年到114年總經費260億那您的60億是幾年 |
transcript.whisperx[5].start |
100.546 |
transcript.whisperx[5].end |
125.399 |
transcript.whisperx[5].text |
我們是後續的4年4年的計畫後續的4年因為畢竟停車問題當然我也了解它是很重要但是還是屬於地方事務所以原則上如果有相關的預算還是要整體預算來看所以先編列60億然後後續如果有不足我們再看怎麼樣來我是建議就是大家多考量舉個例子現在騎樓停車 |
transcript.whisperx[6].start |
130.322 |
transcript.whisperx[6].end |
158.665 |
transcript.whisperx[6].text |
檢舉是不是在全國都有很多這種案件對不對那你知道這個造成地方多大的困擾嗎很像地方也都有相關的一個全國各縣市都有啦那就是停車那很多民眾跟我們反映你停車空間給我我就不需要停了啊現在就停車空間真的不足 |
transcript.whisperx[7].start |
160.396 |
transcript.whisperx[7].end |
183.317 |
transcript.whisperx[7].text |
那停車空間不足的情況之下西樓停車記得當時應該是上個會期我曾經提過我們交通部也曾經有過那個給各縣市供地方政府的公文就是地方政府自行斟酌所以等於我們交通部把這個問題丟到地方政府 |
transcript.whisperx[8].start |
185.049 |
transcript.whisperx[8].end |
209.105 |
transcript.whisperx[8].text |
建議地方政府要預留多少因為想要行人的一個空間現在地方政府就是大部分都沒有確定我記得當時鄭文燦市長在桃園的時候曾經有說可以預留1.5米給機車停位但是汽車也是沒有所以全國可能都沒有任何地方政府說汽車可以停 |
transcript.whisperx[9].start |
212.735 |
transcript.whisperx[9].end |
234.99 |
transcript.whisperx[9].text |
騎樓這個目前是這個政策應該是困難對不對因為行人入權的關係我也知道我們必須重視行人入權但是呢你今天如果是六米巷六米巷騎樓不能停都會停到它的門口嘛兩輛車停在門口六米巷剩下幾米那你垃圾車過得去嗎 |
transcript.whisperx[10].start |
240.732 |
transcript.whisperx[10].end |
254.839 |
transcript.whisperx[10].text |
萬一有火災的時候救火車過得去嗎如果萬一有這種情況發生交通部會不會覺得如果因此而有人傷亡那交通部會不會心裡覺得痛呢 |
transcript.whisperx[11].start |
257.558 |
transcript.whisperx[11].end |
281.605 |
transcript.whisperx[11].text |
當然啦這個有關停車比較狹窄的這個巷道是那個但是有關那個太早的巷道如何讓這個救護車消防車經過這個但是你現在沒有相關的規範你現在的規範就是騎樓不能停嘛對多少米以下是不可以現在就是不行嘛是是是現在就是我說的像六米道路啦 |
transcript.whisperx[12].start |
282.725 |
transcript.whisperx[12].end |
294.064 |
transcript.whisperx[12].text |
很明顯你就是不能停那你停在門口很明顯垃圾車 救火車就是過不了像這種情況你覺得怎麼處理比較好 |
transcript.whisperx[13].start |
297.26 |
transcript.whisperx[13].end |
324.97 |
transcript.whisperx[13].text |
這分兩個啦就是說在那裡頭沒辦法停車的話確實是要找我們解決問題比較重要啦對 要找自然覺得應該怎麼樣可以解決這個問題像剛才特別提到的停車的問題就是停車空間要想辦法在這個附近去找停車空間嘛對啊你就是沒辦法讓我停啊各縣市各地區恐怕就是說你通通要停到我足夠的停車空間差不多都沒辦法嘛 |
transcript.whisperx[14].start |
326.108 |
transcript.whisperx[14].end |
347.897 |
transcript.whisperx[14].text |
那也是不可能的啦 其實這是整體交通政策啦還有另外一個是車輛的使用啦 對不對你停車公圈不夠讓我停 不是我不愛停我門口 騎樓不能停 因為行人路線 我也愛走我停在門口 不是停在騎樓裡面 兩台車停的六米行過不過 |
transcript.whisperx[15].start |
352.81 |
transcript.whisperx[15].end |
368.719 |
transcript.whisperx[15].text |
我覺得我是這樣建議啦 其實交通部可以研議 在我的看法可以參考當然行人路權我們一定是非常的重視但是你現在六米行 六米行要走到你家的七樓 他們說機會沒大 |
transcript.whisperx[16].start |
374.741 |
transcript.whisperx[16].end |
382.747 |
transcript.whisperx[16].text |
所以六米巷有沒有可能江東部演繹一下不然你就留一米的寬度讓你停讓行人可以走然後呢你勉強停在因為現在我說的就是我們講是務實啦理想我們當然都懂啊100%騎樓不能停100%救護車救火車要可以過100%停車空位 停車空間要夠 |
transcript.whisperx[17].start |
405.183 |
transcript.whisperx[17].end |
414.314 |
transcript.whisperx[17].text |
這個都是理想嘛那在理想的社會沒有辦法達到的時候我們務實的處理是不是交通部可以做一個研議跟思考 |
transcript.whisperx[18].start |
418.154 |
transcript.whisperx[18].end |
444.99 |
transcript.whisperx[18].text |
跟委員報告像這樣的一個也牽涉到那個那個道路空間的一個使用啦那個可能更多是 比較簡單就是都沒人要答啦我跟妳講喔市長那個我們也希望局長可以思考一下這個問題就是說我們站在國家的角度這個問題到底要怎麼解決這個不是我今天在這邊提只是許智傑的問題我跟各位報告專國國管制 |
transcript.whisperx[19].start |
446.869 |
transcript.whisperx[19].end |
474.795 |
transcript.whisperx[19].text |
檢舉案件不斷市民不堪其擾我剛提過我要合法停車你沒有辦法給我我停在7樓一定會被開單我再舉個例子檢舉單人也很聰明現在警察如果去是開勸導單檢舉單人一到的時候說我可以告你假案 |
transcript.whisperx[20].start |
478.646 |
transcript.whisperx[20].end |
507.436 |
transcript.whisperx[20].text |
好現在沒有人可以處理這件事情你們研議一下啦我現在我知道這個問題很頭痛全國的人民很多人因為這樣被開單的很頭痛那如果有沒有什麼務實的彈性的做法可以解決這個問題我的意思就是說比如說我在六米巷的騎樓停車 |
transcript.whisperx[21].start |
509.349 |
transcript.whisperx[21].end |
525.414 |
transcript.whisperx[21].text |
你只要留下一米可以讓行人通行那勉強我可以讓你停進去不開單那這樣子救火車救護車垃圾車可以通過有沒有這種可能 |
transcript.whisperx[22].start |
529.33 |
transcript.whisperx[22].end |
554.418 |
transcript.whisperx[22].text |
這個建議我想我們再跟國土署來討論一下因為那個相關的這個問題可能要全面性去考慮啦我是建議我們真的是替百姓做一下思考是是是我說的全國受這種困擾的百姓最沒有 幾百萬最沒有問題啦我不知道多少 我沒有統計量啦但是真的是 |
transcript.whisperx[23].start |
555.748 |
transcript.whisperx[23].end |
583.301 |
transcript.whisperx[23].text |
交通局說檢察局會處理,檢察局說我們會盡量勸導然後有時候,經濟達人會說,我可以跟你吃飯然後呢,當然就不得不開單我六、七天聽到我們門口的七樓,半夜兩點我來給他開單我也是要告知啦啊我說的就是說,我們苦民所苦,我們去想一個到底有沒有一個比較務實的解套的辦法 |
transcript.whisperx[24].start |
584.454 |
transcript.whisperx[24].end |
589.721 |
transcript.whisperx[24].text |
我沒有做到一百分 但是我這樣做有可能九十分八十分 大家可以接受的範圍有一個 |
transcript.whisperx[25].start |
592.766 |
transcript.whisperx[25].end |
618.677 |
transcript.whisperx[25].text |
這個就是兩個極端取其中庸嘛那怎麼樣找到一個中庸的方法質量用中是不是請交通部想一下然後跟地方政府溝通一下可以解決很多百姓的問題我們來會同這個內政部跟相關地方政府大家來討論一下希望您就是交通部重視這件事情給人民一個解決的辦法好不好我們來努力看看 |
transcript.whisperx[26].start |
620.138 |
transcript.whisperx[26].end |
629.475 |
transcript.whisperx[26].text |
你只要努力,若不結局,我們北省都很難過的是,我們來盡量盡量把它找出解方啦,好不好是,是好,謝謝 |