IVOD_ID |
151172 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/151172 |
日期 |
2024-04-15 |
會議資料.會議代碼 |
委員會-11-1-15-11 |
會議資料.會議代碼:str |
第11屆第1會期內政委員會第11次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
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] |
15 |
會議資料.委員會代碼:str[0] |
內政委員會 |
會議資料.標題 |
第11屆第1會期內政委員會第11次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-04-15T14:28:42+08:00 |
結束時間 |
2024-04-15T14:38:46+08:00 |
影片長度 |
00:10:04 |
支援功能[0] |
ai-transcript |
支援功能[1] |
gazette |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3f8a1755e5400c0e79750b73ae882ed8bd5be8c4a3d24463f8ba9b0039caa7a621e5a8a82d86f5765ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
傅崐萁 |
委員發言時間 |
14:28:42 - 14:38:46 |
會議時間 |
2024-04-15T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期內政委員會第11次全體委員會議(事由:邀請內政部部長、行政院主計總處副主計長、原住民族委員會、行政院公共工程委員會、交通部、交通部觀光署、環境部、勞動部、農業部、教育部、衛生福利部、經濟部、財政部、國軍退除役官兵輔導委員會、金融監督管理委員會就「0403震災之災後救助、重建規劃及補助方式」及「從東華實驗室失火事件檢討災害防救之完備化」進行專題報告,並備質詢。) |
gazette.lineno |
1964 |
gazette.blocks[0][0] |
傅委員崐萁:(14時28分)主席、各位同仁。是不是請林部長? |
gazette.blocks[1][0] |
主席:請林部長。 |
gazette.blocks[2][0] |
林部長右昌:委員好。 |
gazette.blocks[3][0] |
傅委員崐萁:部長,謝謝,辛苦了!今天從早上質詢到現在,我們司法委員會到現在也還在持續奮戰當中,在中間抽空下來到內政委員會,針對這次0403大地震要再次感謝林右昌部長第一時間就趕到我們的災難現場,也對蘇花公路整個的坍方看得非常清楚。我們這次搭的小海豚真的是很小很小的直升機,但是經過蘇花公路真的是滾滾黃塵,從早上的地震之後到了中午仍然還是塵土飛揚,表示這個災情非常的嚴重!從地震發生到現在已經是第十二天了,部長,光是一個東華大學的重新修建到整理完成大概需要多少經費,你知道嗎? |
gazette.blocks[4][0] |
林部長右昌:東華大學,在我的印象應該是要超過5億以上。 |
gazette.blocks[5][0] |
傅委員崐萁:大概要22億。 |
gazette.blocks[6][0] |
林部長右昌:因為它整個要重建了。 |
gazette.blocks[7][0] |
主席:教育部的代理司長有來。 |
gazette.blocks[8][0] |
傅委員崐萁:多少錢? |
gazette.blocks[9][0] |
朱代理司長俊彰:報告委員,目前學校的初估是19.2億。 |
gazette.blocks[10][0] |
傅委員崐萁:基本上,就像要太魯閣國家公園提報,結果他們只提報了5億,鄭文燦副院長一看到5億就說,這個沒有幾十億怎麼做得起來!提報的數字都差距太遠,就像東華大學現在基本初估就要22億。我覺得在災難發生後應該要儘可能讓整個重建的經費能夠完善,針對太魯閣國家公園提報的5億,我與鄭文燦副院長討論過這件事情,他說沒有幾十億怎麼做得起來。 |
gazette.blocks[11][0] |
林部長右昌:我們現在估算大概是10億。 |
gazette.blocks[12][0] |
傅委員崐萁:也不止啦!因為整個明隧道要做起來,如果太魯閣要開園的話,沒有將整體的明隧道全部做起來,那條路大概也沒有辦法再走了。整個明隧道全部要做起來,因為在這次的災難過程中,我們看到無論是臺8線或臺9線,只要有明隧道的地方都是安全的。在此也要特別感謝部長,因為部長曾經擔任過縣市長,對於救災有相當長足的經驗,第一時間就判斷在太魯閣山區受困的人數非常多,罹難的人數也可能最多,所以當天我就看到林部長在掌握那邊的整體狀況。部長,希望這個重建工作不會因為你要調整職務、到民進黨中央黨部擔任秘書長而忘了你曾經在內政部長任內親身參與0403大地震所看到的慘狀,這個部分確實是有必要,該如何重建,我們要有同理心將它完成,好不好? |
gazette.blocks[13][0] |
林部長右昌:是,當然。也向委員報告,在中央災害應變中心,我負責的部分是搶救災,至於後續重建的部分,行政院長有特別指示、總統也特別關心,東部會成立一個專案辦公室,由公共工程委員會進行相關的統籌。 |
gazette.blocks[14][0] |
傅委員崐萁:現在無家可歸的紅單戶及黃單戶大概將近1,700戶,也就是有幾千人無家可歸。紅單的重建或整建,重建大概要3年,因為都是大樓居多,從12樓到16樓都有,沒有3年大概是回不了家,如果是整建的話,大樓起碼也要1年,所以在這個過程中,本席也再三表達,組合屋一定是有需要的,或許災民並不了解,無論是依親或住旅館民宿都無法撐到2年、3年,一個家庭總是要住在一起,所以這個部分要請內政部多多宣導一下。 |
gazette.blocks[14][1] |
另外,未來整個重建的時候,因為部長親身在那裡看過整個狀況,可能要針對整個重建過程提出相當多良善的建議、完整的做法。未來無論是臺9線或臺8線,可能沒有走明隧道或拉新的路,但是我們這次看到蘇花改無論是新的隧道或高架橋的部分都是完全安好,如果當天不是4月3日早上7點58分、如果是4月4日早上的話、如果是一個4天、5天的連假,整個蘇花公路上滿滿擁擠堵塞的車輛以及臺8線上滿滿、滿滿的遊客,掉下來的落石造成的罹難人數就不是今天的17人,可能是幾百人,可說是人命關天啊!我們的政府縫縫補補,把不能走的路修一修搶通之後,又拿人命持續地開玩笑。那天蘇花公路坍方時如果是密密麻麻的車子,我們在小海豚直升機上看到很多路段完全蓋掉了、連路基都沒有了,所以我們現在必須要有新的思維,這個不是給花蓮人安全的路,花蓮只有32萬人,但是一年進入花蓮有1,200萬到1,400萬人次,幾乎都是來自全國及世界各地的好朋友。所以本席希望部長,你也擔任過父母官,同樣的心情,東部的花東人民不應該在那樣的環境中代代兒孫繁衍發展,這是非常不公平的,所以最新的道路該做的就要做。 |
gazette.blocks[14][2] |
本席也在今天中午正式以黨團提出0403大地震的災後重建條例,初步匡列大概150億,給東華大學、給所有的公共設施以及民間,無論是政府機關或民宅,在拆除的部分、整建的部分、重建的部分,以及災民的安置等等,全部都納入,也希望部長能夠發言以表支持。畢竟我們是同島一命、我們都是在這塊土地上生長,不應該過不同國度的生活,我認為交通平權、生命無價,也是今天高金召委排定這個會議程序要讓大家了解的。 |
gazette.blocks[14][3] |
接下來這個簡短的片段讓大家看看,如果今天你的家人、你的兒女在這樣的路上行走,你要如何為他們憂心?他們是否能夠安全回家?我們來看一下。 |
gazette.blocks[14][4] |
(播放影片) |
gazette.blocks[15][0] |
傅委員崐萁:大家可以相信這是我們的道路嗎?進入明隧道才能保命,我想在網路上影片非常多,本席就不在這裡讓大家一一觀看,但是網路上通通都有。大家的兒女天天出門要走這樣的路,將心比心,我想重建條例勢在必行,也請內政部能夠大力支持,好不好?讓政府重建的預算能夠得到法律位階的確保,好不好?謝謝。 |
gazette.blocks[16][0] |
主席:好,非常謝謝傅崐萁委員。 |
gazette.blocks[17][0] |
林部長右昌:謝謝委員。關於重建的部分,我們內政部的預算一定是全力支持。 |
gazette.blocks[18][0] |
傅委員崐萁:好,謝謝。 |
gazette.blocks[19][0] |
主席:謝謝。 |
gazette.blocks[19][1] |
請羅明才委員、羅明才委員、羅明才委員不在。 |
gazette.blocks[19][2] |
請陳培瑜委員質詢。 |
gazette.agenda.page_end |
252 |
gazette.agenda.meet_id |
委員會-11-1-15-11 |
gazette.agenda.speakers[0] |
高金素梅 |
gazette.agenda.speakers[1] |
王美惠 |
gazette.agenda.speakers[2] |
麥玉珍 |
gazette.agenda.speakers[3] |
許宇甄 |
gazette.agenda.speakers[4] |
黃建賓 |
gazette.agenda.speakers[5] |
牛煦庭 |
gazette.agenda.speakers[6] |
張智倫 |
gazette.agenda.speakers[7] |
黃捷 |
gazette.agenda.speakers[8] |
李柏毅 |
gazette.agenda.speakers[9] |
蘇巧慧 |
gazette.agenda.speakers[10] |
張宏陸 |
gazette.agenda.speakers[11] |
徐欣瑩 |
gazette.agenda.speakers[12] |
吳琪銘 |
gazette.agenda.speakers[13] |
丁學忠 |
gazette.agenda.speakers[14] |
沈伯洋 |
gazette.agenda.speakers[15] |
鄭天財Sra Kacaw |
gazette.agenda.speakers[16] |
王鴻薇 |
gazette.agenda.speakers[17] |
洪孟楷 |
gazette.agenda.speakers[18] |
李坤城 |
gazette.agenda.speakers[19] |
陳瑩 |
gazette.agenda.speakers[20] |
伍麗華Saidhai‧Tahovecahe |
gazette.agenda.speakers[21] |
傅崐萁 |
gazette.agenda.speakers[22] |
陳培瑜 |
gazette.agenda.speakers[23] |
林憶君 |
gazette.agenda.speakers[24] |
吳沛憶 |
gazette.agenda.speakers[25] |
羅智強 |
gazette.agenda.speakers[26] |
邱若華 |
gazette.agenda.speakers[27] |
莊瑞雄 |
gazette.agenda.page_start |
139 |
gazette.agenda.meetingDate[0] |
2024-04-15 |
gazette.agenda.gazette_id |
1132801 |
gazette.agenda.agenda_lcidc_ids[0] |
1132801_00008 |
gazette.agenda.meet_name |
立法院第11屆第1會期內政委員會第11次全體委員會議紀錄 |
gazette.agenda.content |
邀請內政部部長、行政院主計總處副主計長、原住民族委員會、行政院公共工程委員會、交通
部、交通部觀光署、環境部、勞動部、農業部、教育部、衛生福利部、經濟部、財政部、國軍退
除役官兵輔導委員會、金融監督管理委員會就「0403震災之災後救助、重建規劃及補助方式」及
「從東華實驗室失火事件檢討災害防救之完備化」進行專題報告,並備質詢 |
gazette.agenda.agenda_id |
1132801_00017 |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
6.64596875 |
transcript.pyannote[0].end |
9.81846875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
10.32471875 |
transcript.pyannote[1].end |
11.59034375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
16.95659375 |
transcript.pyannote[2].end |
17.86784375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
18.74534375 |
transcript.pyannote[3].end |
30.23721875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
30.52409375 |
transcript.pyannote[4].end |
31.89096875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
32.68409375 |
transcript.pyannote[5].end |
38.43846875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
38.75909375 |
transcript.pyannote[6].end |
40.91909375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
41.71221875 |
transcript.pyannote[7].end |
45.20534375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
45.64409375 |
transcript.pyannote[8].end |
47.26409375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
48.00659375 |
transcript.pyannote[9].end |
49.40721875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
50.03159375 |
transcript.pyannote[10].end |
50.79096875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
51.70221875 |
transcript.pyannote[11].end |
52.52909375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
52.76534375 |
transcript.pyannote[12].end |
52.98471875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
53.20409375 |
transcript.pyannote[13].end |
55.43159375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
56.30909375 |
transcript.pyannote[14].end |
59.48159375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
60.46034375 |
transcript.pyannote[15].end |
61.21971875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
61.97909375 |
transcript.pyannote[16].end |
63.78471875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
64.54409375 |
transcript.pyannote[17].end |
67.02471875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
67.19346875 |
transcript.pyannote[18].end |
68.45909375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
69.10034375 |
transcript.pyannote[19].end |
73.58909375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
74.65221875 |
transcript.pyannote[20].end |
75.31034375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
75.37784375 |
transcript.pyannote[21].end |
76.05284375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
76.93034375 |
transcript.pyannote[22].end |
79.32659375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
80.38971875 |
transcript.pyannote[23].end |
81.01409375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
81.43596875 |
transcript.pyannote[24].end |
82.16159375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
83.37659375 |
transcript.pyannote[25].end |
84.62534375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
85.18221875 |
transcript.pyannote[26].end |
86.04284375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
86.39721875 |
transcript.pyannote[27].end |
90.00846875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
90.43034375 |
transcript.pyannote[28].end |
93.45096875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
94.69971875 |
transcript.pyannote[29].end |
99.18846875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
99.22221875 |
transcript.pyannote[30].end |
99.23909375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
99.25596875 |
transcript.pyannote[31].end |
99.27284375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
99.27284375 |
transcript.pyannote[32].end |
99.32346875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
99.32346875 |
transcript.pyannote[33].end |
99.40784375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
99.40784375 |
transcript.pyannote[34].end |
99.54284375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
99.54284375 |
transcript.pyannote[35].end |
99.57659375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
99.66096875 |
transcript.pyannote[36].end |
100.90971875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
101.12909375 |
transcript.pyannote[37].end |
101.16284375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
101.16284375 |
transcript.pyannote[38].end |
105.36471875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
101.50034375 |
transcript.pyannote[39].end |
105.09471875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
105.55034375 |
transcript.pyannote[40].end |
106.46159375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
107.11971875 |
transcript.pyannote[41].end |
110.27534375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
111.15284375 |
transcript.pyannote[42].end |
111.89534375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
113.90346875 |
transcript.pyannote[43].end |
114.67971875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
114.86534375 |
transcript.pyannote[44].end |
115.64159375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
116.28284375 |
transcript.pyannote[45].end |
117.46409375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
117.78471875 |
transcript.pyannote[46].end |
119.23596875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
120.19784375 |
transcript.pyannote[47].end |
122.05409375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
123.35346875 |
transcript.pyannote[48].end |
124.66971875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
124.88909375 |
transcript.pyannote[49].end |
126.52596875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
127.30221875 |
transcript.pyannote[50].end |
129.22596875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
130.50846875 |
transcript.pyannote[51].end |
133.20846875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
134.13659375 |
transcript.pyannote[52].end |
134.38971875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
134.82846875 |
transcript.pyannote[53].end |
135.31784375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
136.12784375 |
transcript.pyannote[54].end |
137.73096875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
138.33846875 |
transcript.pyannote[55].end |
140.38034375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
141.19034375 |
transcript.pyannote[56].end |
145.17284375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
145.98284375 |
transcript.pyannote[57].end |
150.87659375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
151.43346875 |
transcript.pyannote[58].end |
151.68659375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
152.24346875 |
transcript.pyannote[59].end |
154.92659375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
156.41159375 |
transcript.pyannote[60].end |
161.17034375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
162.01409375 |
transcript.pyannote[61].end |
164.27534375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
162.08159375 |
transcript.pyannote[62].end |
163.73534375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
164.27534375 |
transcript.pyannote[63].end |
164.29221875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
164.29221875 |
transcript.pyannote[64].end |
164.51159375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
164.51159375 |
transcript.pyannote[65].end |
164.62971875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
164.62971875 |
transcript.pyannote[66].end |
165.03471875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
165.03471875 |
transcript.pyannote[67].end |
168.78096875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
169.69221875 |
transcript.pyannote[68].end |
171.34596875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
171.98721875 |
transcript.pyannote[69].end |
174.58596875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
175.17659375 |
transcript.pyannote[70].end |
177.57284375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
178.01159375 |
transcript.pyannote[71].end |
180.15471875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
180.77909375 |
transcript.pyannote[72].end |
185.16659375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
186.07784375 |
transcript.pyannote[73].end |
189.06471875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
190.51596875 |
transcript.pyannote[74].end |
192.57471875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
192.99659375 |
transcript.pyannote[75].end |
195.05534375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
195.46034375 |
transcript.pyannote[76].end |
198.24471875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
199.29096875 |
transcript.pyannote[77].end |
204.48846875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
204.96096875 |
transcript.pyannote[78].end |
206.56409375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
207.22221875 |
transcript.pyannote[79].end |
211.01909375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
212.31846875 |
transcript.pyannote[80].end |
213.07784375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
214.12409375 |
transcript.pyannote[81].end |
216.79034375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
217.16159375 |
transcript.pyannote[82].end |
217.66784375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
218.34284375 |
transcript.pyannote[83].end |
219.01784375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
219.27096875 |
transcript.pyannote[84].end |
220.82346875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
221.81909375 |
transcript.pyannote[85].end |
222.07221875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
222.46034375 |
transcript.pyannote[86].end |
225.76784375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
226.40909375 |
transcript.pyannote[87].end |
227.37096875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
227.70846875 |
transcript.pyannote[88].end |
230.12159375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
230.71221875 |
transcript.pyannote[89].end |
233.76659375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
234.20534375 |
transcript.pyannote[90].end |
235.87596875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
236.44971875 |
transcript.pyannote[91].end |
236.87159375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
236.95596875 |
transcript.pyannote[92].end |
239.21721875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
239.75721875 |
transcript.pyannote[93].end |
241.56284375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
242.20409375 |
transcript.pyannote[94].end |
245.20784375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
245.34284375 |
transcript.pyannote[95].end |
246.11909375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
246.16971875 |
transcript.pyannote[96].end |
251.70471875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
252.14346875 |
transcript.pyannote[97].end |
264.34409375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
265.23846875 |
transcript.pyannote[98].end |
271.12784375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
271.65096875 |
transcript.pyannote[99].end |
273.74346875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
274.36784375 |
transcript.pyannote[100].end |
277.82721875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
278.70471875 |
transcript.pyannote[101].end |
282.23159375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
282.77159375 |
transcript.pyannote[102].end |
285.20159375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
286.23096875 |
transcript.pyannote[103].end |
292.23846875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
293.09909375 |
transcript.pyannote[104].end |
294.76971875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
295.56284375 |
transcript.pyannote[105].end |
302.81909375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
303.34221875 |
transcript.pyannote[106].end |
305.67096875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
305.95784375 |
transcript.pyannote[107].end |
307.42596875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
307.67909375 |
transcript.pyannote[108].end |
308.75909375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
309.46784375 |
transcript.pyannote[109].end |
311.42534375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
312.15096875 |
transcript.pyannote[110].end |
315.49221875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
316.20096875 |
transcript.pyannote[111].end |
317.28096875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
318.24284375 |
transcript.pyannote[112].end |
318.81659375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
319.81221875 |
transcript.pyannote[113].end |
322.29284375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
322.74846875 |
transcript.pyannote[114].end |
326.57909375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
327.47346875 |
transcript.pyannote[115].end |
334.86471875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
335.40471875 |
transcript.pyannote[116].end |
337.58159375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
338.77971875 |
transcript.pyannote[117].end |
341.14221875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
341.91846875 |
transcript.pyannote[118].end |
343.85909375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
344.78721875 |
transcript.pyannote[119].end |
346.93034375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
347.38596875 |
transcript.pyannote[120].end |
348.68534375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
349.96784375 |
transcript.pyannote[121].end |
350.77784375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
352.83659375 |
transcript.pyannote[122].end |
355.65471875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
356.38034375 |
transcript.pyannote[123].end |
357.96659375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
359.04659375 |
transcript.pyannote[124].end |
360.02534375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
360.76784375 |
transcript.pyannote[125].end |
363.92346875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
365.13846875 |
transcript.pyannote[126].end |
369.35721875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
370.57221875 |
transcript.pyannote[127].end |
373.50846875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
374.26784375 |
transcript.pyannote[128].end |
375.78659375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
376.61346875 |
transcript.pyannote[129].end |
379.48221875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
380.35971875 |
transcript.pyannote[130].end |
381.50721875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
382.55346875 |
transcript.pyannote[131].end |
384.03846875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
384.71346875 |
transcript.pyannote[132].end |
385.82721875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
386.11409375 |
transcript.pyannote[133].end |
388.86471875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
389.62409375 |
transcript.pyannote[134].end |
393.43784375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
394.53471875 |
transcript.pyannote[135].end |
397.65659375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
398.80409375 |
transcript.pyannote[136].end |
400.33971875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
401.06534375 |
transcript.pyannote[137].end |
406.21221875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
407.00534375 |
transcript.pyannote[138].end |
407.98409375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
409.03034375 |
transcript.pyannote[139].end |
409.51971875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
410.27909375 |
transcript.pyannote[140].end |
412.21971875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
413.09721875 |
transcript.pyannote[141].end |
413.29971875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
414.09284375 |
transcript.pyannote[142].end |
416.10096875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
416.72534375 |
transcript.pyannote[143].end |
419.37471875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
419.93159375 |
transcript.pyannote[144].end |
424.23471875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
425.28096875 |
transcript.pyannote[145].end |
428.53784375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
429.06096875 |
transcript.pyannote[146].end |
429.49971875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
430.25909375 |
transcript.pyannote[147].end |
433.71846875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
434.27534375 |
transcript.pyannote[148].end |
435.43971875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
436.73909375 |
transcript.pyannote[149].end |
439.03409375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
439.86096875 |
transcript.pyannote[150].end |
440.56971875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
440.90721875 |
transcript.pyannote[151].end |
442.42596875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
443.28659375 |
transcript.pyannote[152].end |
443.59034375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
444.24846875 |
transcript.pyannote[153].end |
447.74159375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
449.12534375 |
transcript.pyannote[154].end |
456.76971875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
457.05659375 |
transcript.pyannote[155].end |
460.22909375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
461.30909375 |
transcript.pyannote[156].end |
466.77659375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
467.35034375 |
transcript.pyannote[157].end |
472.19346875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
472.71659375 |
transcript.pyannote[158].end |
475.04534375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
475.39971875 |
transcript.pyannote[159].end |
486.46971875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
487.36409375 |
transcript.pyannote[160].end |
488.29221875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
489.11909375 |
transcript.pyannote[161].end |
490.31721875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
490.95846875 |
transcript.pyannote[162].end |
493.05096875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
493.72596875 |
transcript.pyannote[163].end |
494.38409375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
495.07596875 |
transcript.pyannote[164].end |
495.86909375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
496.20659375 |
transcript.pyannote[165].end |
497.06721875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
498.34971875 |
transcript.pyannote[166].end |
500.66159375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
501.31971875 |
transcript.pyannote[167].end |
505.33596875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
505.67346875 |
transcript.pyannote[168].end |
513.26721875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
513.85784375 |
transcript.pyannote[169].end |
515.29221875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
516.27096875 |
transcript.pyannote[170].end |
516.86159375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
517.84034375 |
transcript.pyannote[171].end |
519.51096875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
520.05096875 |
transcript.pyannote[172].end |
521.83971875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
522.27846875 |
transcript.pyannote[173].end |
522.97034375 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
541.66784375 |
transcript.pyannote[174].end |
543.52409375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
548.13096875 |
transcript.pyannote[175].end |
549.37971875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
550.00409375 |
transcript.pyannote[176].end |
550.84784375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
562.93034375 |
transcript.pyannote[177].end |
565.24221875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
566.49096875 |
transcript.pyannote[178].end |
567.11534375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
567.43596875 |
transcript.pyannote[179].end |
569.88284375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
570.74346875 |
transcript.pyannote[180].end |
570.94596875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
571.60409375 |
transcript.pyannote[181].end |
573.10596875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
573.49409375 |
transcript.pyannote[182].end |
574.79346875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
575.70471875 |
transcript.pyannote[183].end |
576.68346875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
577.00409375 |
transcript.pyannote[184].end |
578.52284375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
579.09659375 |
transcript.pyannote[185].end |
580.12596875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
580.78409375 |
transcript.pyannote[186].end |
583.12971875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
583.66971875 |
transcript.pyannote[187].end |
586.84221875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
587.51721875 |
transcript.pyannote[188].end |
592.69784375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
593.20409375 |
transcript.pyannote[189].end |
594.19971875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
594.23346875 |
transcript.pyannote[190].end |
603.44721875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
594.30096875 |
transcript.pyannote[191].end |
594.87471875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
595.76909375 |
transcript.pyannote[192].end |
597.00096875 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
601.81034375 |
transcript.pyannote[193].end |
602.58659375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
603.97034375 |
transcript.pyannote[194].end |
604.34159375 |
transcript.whisperx[0].start |
6.987 |
transcript.whisperx[0].end |
11.33 |
transcript.whisperx[0].text |
主席各位同仁是不是請林部長有請林部長委員好 |
transcript.whisperx[1].start |
19.049 |
transcript.whisperx[1].end |
46.804 |
transcript.whisperx[1].text |
部長謝謝辛苦今天從早上持續到現在我們事發委員會到現在還在持續奮戰當中在中間抽空下來到內政委員會對這次0403的大地震要再次感謝第一時間林永昌部長就趕到我們的災難的現場也對整個蘇花公路整體的攤方也看得非常的清楚 |
transcript.whisperx[2].start |
48.049 |
transcript.whisperx[2].end |
75.661 |
transcript.whisperx[2].text |
我們這次搭小海豚真的是很小很小的直升機但是過程當中經過樹花公路真的是滾滾的黃塵表示從早上地震之後到了中午還在塵土還在飛揚表示這個災情非常的嚴重這個我想 |
transcript.whisperx[3].start |
77.183 |
transcript.whisperx[3].end |
106.133 |
transcript.whisperx[3].text |
發生地震到現在已經12天了這個部長是不是我們也瞭解現在光是一個東華大學的重新的這樣的一個修建整理完成大概要多少經費您知道嗎東華大學我印象應該是要超過5億以上20因為它整個重建了教育部的代理事長有來多少錢 |
transcript.whisperx[4].start |
107.35 |
transcript.whisperx[4].end |
132.824 |
transcript.whisperx[4].text |
根委員報告目前學校初估是19.2億那個基本上現在就像太魯閣國家公園叫他們提報提報了5億鄭文燦副院長看到這個5億就告訴他這沒有幾十億怎麼會做得起來這個提報的數字都差距太遠 |
transcript.whisperx[5].start |
134.956 |
transcript.whisperx[5].end |
160.874 |
transcript.whisperx[5].text |
所以這個東華大學現在基本初估叫22億我覺得在災難發生的時候我們要盡可能要把整個準備重建的經費必須要把它完善所以太魯閣國家公園提報5億我跟鄭文燦副院長在討論這個事情他說這個沒有幾十億怎麼做得起來 |
transcript.whisperx[6].start |
162.322 |
transcript.whisperx[6].end |
188.921 |
transcript.whisperx[6].text |
因為那個幾乎...我們現在估大概10億也不止啦因為那個整個你民粹道要做起來太魯閣如果要開源的話沒有整體的民粹道全部做起來的話大概那條路也沒有辦法再走了整個民粹道全部要做起來因為這次災難過程當中我們看到不管台八線、台九線只要有民粹道的地方都是安全的 |
transcript.whisperx[7].start |
190.698 |
transcript.whisperx[7].end |
210.463 |
transcript.whisperx[7].text |
特別感謝部長就是部長擔任過縣市長所以對救災有相當的長足的經驗那個時候對整個太魯閣山區第一時間就判斷那裡受困的人數非常的多也可能罹難人數最多所以當天我都看到林部長在掌握那邊整體的一個狀況那部長 |
transcript.whisperx[8].start |
214.221 |
transcript.whisperx[8].end |
239.039 |
transcript.whisperx[8].text |
希望這個重建的工作不會因為你要去調整職務到民進黨中央黨部擔任秘書長而放掉了你曾經在內政部部長任內也曾經親身參與0403的大地震你看到現場的慘狀這個部分可能確實有必要 |
transcript.whisperx[9].start |
240.29 |
transcript.whisperx[9].end |
263.765 |
transcript.whisperx[9].text |
要怎麼樣的重建我們要一樣的同理心來把它完成好不好是當然也跟委員報告這個中央災案應變中心我負責的部分搶救災那後續的部分重建的部分現在行政院院長也有特別指示總統也特別關心東部會成立一個專案的辦公室那會由公共工程委員會來進行相關的一個統籌 |
transcript.whisperx[10].start |
265.545 |
transcript.whisperx[10].end |
288.251 |
transcript.whisperx[10].text |
現在大概無家可歸的紅單戶跟黃單戶大概已經將近1700戶有幾千人現在無家可歸紅單的重建或是整建重建大概要三年因為都是大樓大樓居多從12樓到16樓都有這個大概沒有三年是回不了家 |
transcript.whisperx[11].start |
289.008 |
transcript.whisperx[11].end |
316.91 |
transcript.whisperx[11].text |
那如果是整建的話大樓也起碼要一年所以在這個過程當中本席也再三表達這個組合屋一定有所需要因為災民並不了解他移清也好住旅館民宿也好沒有辦法去撐到兩年三年一個家庭總是要住在一起所以這個部分也可能請我們內政部多宣導一下那另外就是 |
transcript.whisperx[12].start |
319.898 |
transcript.whisperx[12].end |
348.456 |
transcript.whisperx[12].text |
在整個未來的重建的時候希望部長因為你親身在那裡看到整個狀況可能要給整個重建的過程要提出相當多的一個良善的建議、完整的做法就是未來不管是台九線、台八線可能沒有走明隧道或是拉新的路廊我們這次看到蘇花改不管是隧道還是高架橋的部分完全安好 |
transcript.whisperx[13].start |
350.014 |
transcript.whisperx[13].end |
378.91 |
transcript.whisperx[13].text |
而如果當天不是4月3號早上7點58分如果是4月4號早上的話如果是一個4天5天的連假整個蘇哈公路上面滿滿擁擠堵塞的車輛跟台八線上面滿滿滿滿的遊客這下來的落實不信罹難的人數就不是今天的17人 |
transcript.whisperx[14].start |
380.424 |
transcript.whisperx[14].end |
407.86 |
transcript.whisperx[14].text |
可能是幾百人所以啊人命關天我們的政府啊縫縫補補把不能走的路修修搶通以後又拿人命持續的在開玩笑那天在蘇花公路上攤方下來如果是密密麻麻的車子我們在小海豚直升機上看到很多的路段是完全蓋掉了連路跡都沒有 |
transcript.whisperx[15].start |
409.13 |
transcript.whisperx[15].end |
435.223 |
transcript.whisperx[15].text |
所以我們現在必須要有新的思維這個不是給花蓮人安全的路花蓮人只有32萬人一年進入花蓮的人次有1200到1400萬人次幾乎都是全國跟來自世界的好朋友所以本席在這裡希望部長因為當任過父母官同樣的心情 |
transcript.whisperx[16].start |
437.069 |
transcript.whisperx[16].end |
458.262 |
transcript.whisperx[16].text |
東部花東人民他們不應該在這樣的一個生活中來代代的而生在那裡繁衍發展這是非常不公平的所以最新的路廊最新的道路該做的要做那本席也在今天中午正式有黨團提出了這個0403 |
transcript.whisperx[17].start |
461.64 |
transcript.whisperx[17].end |
490.063 |
transcript.whisperx[17].text |
大地震的災後重建條例也正式提出來初步匡列大概150億給東華大學給所有的公共設施還有民間不管是政府機關或是民宅在拆除的部分、整建的部分、重建的部分都把它納入還有災民的安置等等也希望部長也能夠發言來支持畢竟我們是同島一命 |
transcript.whisperx[18].start |
490.984 |
transcript.whisperx[18].end |
516.622 |
transcript.whisperx[18].text |
我們的國家都在這塊土地上生長不應該過不同的國度、不同的生活我想交通平權生命無價我想是今天我們高津昭偉來排這個會議程序要讓大家能夠瞭解我們一個簡短的片段讓大家來看看如果今天你的家人、你的兒女在這樣的路廊上來走 |
transcript.whisperx[19].start |
517.884 |
transcript.whisperx[19].end |
523.167 |
transcript.whisperx[19].text |
你要怎麼為他們來憂心他們是不是能夠安全回家來看一下大家可以相信這是我們的道路嘛 |
transcript.whisperx[20].start |
548.171 |
transcript.whisperx[20].end |
576.429 |
transcript.whisperx[20].text |
有進入民粹道才能保密我想在網路上影片非常的多本期不在這裡一一的讓大家來觀看但是呢網路上通通都有大家的兒女 |
transcript.whisperx[21].start |
577.096 |
transcript.whisperx[21].end |
601.45 |
transcript.whisperx[21].text |
天天出門要走這樣的路將心比心我想重建條例勢在必行也請內政部能夠大力的來支持好不好讓政府的重建的預算能夠得到確保用法律位階的確保好不好 謝謝好 非常謝謝副官區委員謝謝委員我想有關於重建我們內政部的一個預算一定是全力來支持好 謝謝繼續 |