iVOD / 154542

Field Value
IVOD_ID 154542
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/154542
日期 2024-07-05
會議資料.會議代碼 院會-11-1-21
會議資料.會議代碼:str 第11屆第1會期第21次會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 21
會議資料.種類 院會
會議資料.標題 第11屆第1會期第21次會議
影片種類 Clip
開始時間 2024-07-05T15:33:52+08:00
結束時間 2024-07-05T15:49:25+08:00
影片長度 00:15:33
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/4edc3fae9cb29e978664b1e1a7edaa4b412a25d0aa7d1a49c4cdf64d49d2681bda132672c464fa9d5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林俊憲
委員發言時間 15:33:52 - 15:49:25
會議時間 2024-07-05T09:00:00+08:00
會議名稱 第11屆第1會期第21次會議(事由:一、對行政院院長報告施政方針繼續質詢。 二、7月5日上午9時至10時為國是論壇時間。 三、7月9日下午1時50分至2時30分為處理臨時提案時間。)
gazette.lineno 336
gazette.blocks[0][0] 林委員俊憲:(15時34分)謝謝主席,本席邀請我們行政院卓院長。
gazette.blocks[1][0] 主席:卓院長請備詢。
gazette.blocks[2][0] 林委員俊憲:還有交通部李部長。
gazette.blocks[3][0] 主席:部長請備詢。
gazette.blocks[4][0] 卓院長榮泰:林委員好。
gazette.blocks[5][0] 林委員俊憲:院長好,部長好。賴清德總統從當選到上任以來,曾多次在公開場合說過,未來臺灣的經濟和政策的發展重心將會逐步南移。例如,今年初賴總統曾經在對高科技產業發言的時候說,未來50年由南部發揮力量;上個禮拜六賴總統來高雄捷運的岡山車站通車典禮,他也說,現在他來當總統,要讓臺灣的發展平均,要支持南部發展,最先進的產業會往中南部來移動。我記得6月15號卓院長你很辛苦地到臺南沙崙科學園區,還正式宣布國家的AI園區會設在臺南的沙崙,是這樣吧?所以我把賴總統的想法和做法稱為「建設大南方」,就是說,未來我們政府的施政重心會更加重視南北的均衡,更加投資南部,來扭轉多年以來的南北不平衡。不知道卓院長您的看法如何?
gazette.blocks[6][0] 卓院長榮泰:謝謝委員!總統的想法也一定是在均衡臺灣的理念之下建設大南方,但是也不會忽略或是放掉北部跟中部。因為過去北部、中部的發展已經有相當長的一段時間,所以各方的健全發展也比較多,而南方過去承受了比較多的農業跟基礎工業的責任,現在有機會升級轉型成為一個更科技的地方,我們就要投注更大的力量。像我覺得沙崙就是一個讓我非常驚豔的地方,能不能夠全力地把它充實內容吸引人才?絕對是未來帶領臺灣進步再一劑的強心劑。
gazette.blocks[7][0] 林委員俊憲:但是我們提到高科技產業往南邊移動,當然有政策上的因素,但是就先天的需要而言,第一,南部現在有土地,臺南的沙崙還有南科土地加起來大概有將近2,000公頃還可以使用;另外就是電力,其實現在北部的電力都是靠南電北送,長途的電力輸送增加損耗,尤其在北部幾乎不可能再蓋新的電廠,所以未來的高科技產業的發展,勢必會往中南部移動,這也是必然的。
gazette.blocks[7][1] 在未來的產業會往南部移動的前提之下,我要提問的是,我們的基礎建設做好了嗎?我今天要來跟部長、院長討論的就是,我們必須要超前部署,我們必須要儘速發展、提升南部尤其臺南的一些基礎建設。像臺南是全世界最重要的半導體生產基地,還有未來AI最重要的一個發展的地方,但是針對它的基礎建設尤其交通,我今天特別要請教院長還有李部長。我也跟卓院長來報告,我跟李孟諺部長在談臺南的交通非常輕鬆,因為院長也知道,他在臺南服務過很多年,做過臺南的局長、副市長,還有代理市長,所以現在李孟諺來擔任交通部部長,對臺南的交通我等一下跟他討論,有時候會說到一些細節,院長不一定知道,但是李孟諺部長非常清楚。
gazette.blocks[8][0] 卓院長榮泰:是。
gazette.blocks[9][0] 林委員俊憲:他甚至不用看圖,甚至有些細節他比我還瞭解。院長,你站在那邊,拜託!你負責支持就好了,好不好?
gazette.blocks[10][0] 卓院長榮泰:李部長非常認真也勤跑,也熟悉業務,他代表行政院去跟外界所做的任何協商,我們行政院都非常支持。
gazette.blocks[11][0] 林委員俊憲:謝謝院長!李部長經過我們兩任市長,賴清德那時候為臺南打下來的基礎幹線就是三橫三縱,3條直的路線就是台61、國道1到國道3;3條橫的路線,所謂三橫就是台84號快速道路,還有國道8和86號;黃偉哲市長再多一橫,就是北外環道路,所以由三橫三縱變成三縱四橫,這些骨架道路都做得差不多了,我們現在要打通的就是還有一些打結的地方,有一些缺口我們要把它彌補起來。
gazette.blocks[11][1] 在這裡也讓卓院長知道,最近兩個禮拜我每個禮拜都邀請李孟諺部長到臺南,我們去看臺南的一些交通,尤其針對南科一帶。也讓卓院長瞭解,南科現在大概有九萬多個人,未來短短幾年會快速增加到15萬人,南科的產值已經超過竹科。像我剛剛所講的,現在是全世界最重要的半導體生產基地,AI大力發展,不是在南科就是在沙崙。
gazette.blocks[11][2] 這部分李部長有提一個非常好的建議,他說臺南市政府應該針對大南科訂定一個生活圈的道路計畫。我最近邀請李部長,幾乎每個禮拜都去,最近我有跟李部長講起,例如上次講到南科的一條烏橋中路被曾文溪擋住,我們現在做一個橋,讓烏橋中路可以跨越曾文溪,同時曾文溪右岸那一條紅色的南40線可以延伸到官田,讓曾文溪增加一條走廊,嘉惠佳里、麻豆、官田,這三個地方都有很多南科的人住在那裡,或是他上班要經過,我們要讓他的交通更加流暢,不用再繞來繞去。
gazette.blocks[11][3] 另外,我們也講到西港大橋交通的改善。現在西港大橋的交通非常可怕,經過公路總局的統計,早上上班的時間──7點到8點,一小時內上橋的車輛數有三千多輛,幾乎是一秒鐘就有一輛車上橋,交通已經塞爆了,亟需一個改善計畫。這個計畫現在臺南市政府已經跟交通部訂定了,這部分也請交通部儘快完成西港大橋周邊交通的改善。
gazette.blocks[11][4] 還有一個就是國道8號,如果院長有時間去臺南,行經國道8號會看到一個奇蹟──國道有紅綠燈,全臺灣只有這一條,國道跑到一半居然變成平面道路,還有紅綠燈。
gazette.blocks[12][0] 卓院長榮泰:下來又上去。
gazette.blocks[13][0] 林委員俊憲:還跟市區道路打結,還要爬坡。這部分李部長也有答應,尤其國道8號在安定這個地方,我們要用高架把它縫合起來。部裡面已經同意,現在我們需要卓院長鼎力支持。你看這個都在南科旁邊,是出入必經之道,一條國道居然跑一半還有一小段會出現紅綠燈。
gazette.blocks[14][0] 卓院長榮泰:報告委員,當初應該是地方有不同的聲音,所以下來又上去。現在高架的部分我們已經核定,交通部會辦理相關的發包程序,正在進行當中。
gazette.blocks[15][0] 林委員俊憲:非常感謝。另外還有一段,就是國道8號還要再延長,因為在臺南市安南區,國道8號是南科進入臺南市區最重要的一條路,要進入安南區、要進入中西區、要進入安平都要走國道8號。但是國道8號在安南區很大部分都變平面道路,都在等紅綠燈。這部分其實有一個計畫,市政府有送一個計畫給交通部,就是國道8號要再拉長一點,讓它可以經過台江大道到安中路,就是從新吉過台江大道一直到安中路,等於把國道8號再拉長。這個部分的經費都估算出來了,大概要七十幾億的預算。李孟諺部長,國道8號這一條路拉長,你了解嗎?
gazette.blocks[16][0] 李部長孟諺:是,我知道這裡現行是一條平面的台江大道,如果國道8號的高架要往這邊延伸,整個還要再做一個……
gazette.blocks[17][0] 林委員俊憲:它只是跟台江大道交叉而已,國道8號其實是走在台17線上,等於國道8號……這裡是高架,這裡是平面,這裡是高架,剛才我們講要把安定平面的部分補起來。另外,進入安南區之後,這個高架繼續讓它走,因為太多平面道路留在安南區,變成從市區過安南區要去國道8號會走很久,會在平面道路塞很久,有太多紅綠燈、太多交叉路口。這一條也非常重要,這部分請交通部趕快完成規劃,市政府已經有一個規劃,也會送到交通部。
gazette.blocks[17][1] 還有一個就是台86號,在蘇貞昌院長的時候,他核定了台86號向東接高雄內門。也讓卓院長瞭解一下,台86號跟剛才那個國道8號一樣,台86離國道3號就近在咫尺,不太遠,也是掉下去變成平面道路,掉下去之後的平面道路那個路口不得了,台19甲線是山區必經道路,一邊往關廟,一邊往新化,所以台86號在那個平面道路交叉路口大塞車,因為台86號還有很多是要上前面的國道3號,這不應該啦,就最後那麼一小段路變成平面道路,台86號應該到要接前面的國道3號。這在蘇貞昌院長的時候,我們就在極力爭取,另外,選區的王定宇委員對這個案件也很關心,他也在幫忙協調地方,這個部分還牽扯到未來臺南市跟高雄市兩個直轄市,也是一條很重要的山區通行道路,這部分要請交通部趕快來做。未來臺南還有很多像新營交流道、台江快速道路、六甲外環道路等等,都是未來非常重要的交通規劃,所以我說這要有一個計畫,我們希望未來十年就可以看到成果。未來十年我們臺南的交通建設我在這裡提出來,讓院長、部長一起來瞭解,我希望未來能夠全力來推動。
gazette.blocks[17][2] 還有軌道建設,卓院長應該聽過臺南的鐵路地下化已完成86%,我們要再延長過永康,因為永康現在有二十幾萬人口,是臺南人口最多的行政區。我那天請李孟諺部長南下,把已經討論多年的永康延伸段確定清楚,所以以後鐵路地下化就延長到永康車站以北,可以過永康的永大路;再過去就是新市,新市就開始高架。所以永康的鐵路地下化延伸可以消除永康的三個平交道、三個陸橋、一個人行地下道;進入新市之後,臺鐵高架可以消除新市五個平交道、一個涵洞,不然南區出入口在新市竟然還有平交道,實在是很離譜。這部分都已經有計畫,而且李部長也到地方來答應完成這兩個部分,就是永康鐵路地下化的延長及新市鐵路的立體化,這部分都在等行政院核定而已,請行政院能夠全力來支持。
gazette.blocks[17][3] 再來就是捷運,因為六都裡面只有臺南沒有捷運,院長,你知道嗎?其他五都都有,只有臺南沒有捷運。那一天李孟諺部長到臺南,謝謝部長馬上支持市府最新一條黃線捷運的規劃。這條黃線也很重要,因為它從南區、市區過安南區到新市南科,也就是它是從南區、中西區、安平區、安南區到新市區的新捷運。這個規劃案謝謝李孟諺部長的支持,因為臺南市的捷運中最成熟的是藍線,交通部已經核定了,送到行政院,等行政院核定,這部分是不是請卓院長儘速完成行政院的審定?
gazette.blocks[18][0] 卓院長榮泰:市政府的基本設計已經完成,交通部也已經報院,我們現在加速來看看這個內容,儘速讓它更成熟,去執行這個藍線,其他的還有綠線跟剛剛委員所說的黃線,可行性評估跟相關作業都在進行當中。
gazette.blocks[19][0] 林委員俊憲:謝謝,因為如果現在沒做,以後成本會越來越高,尤其臺南未來會有更多的產業聚落進駐,所以我們希望未來的交通基礎建設能夠儘速來規劃好不好?
gazette.blocks[19][1] 好,謝謝院長和部長。
gazette.blocks[20][0] 卓院長榮泰:謝謝委員。
gazette.blocks[21][0] 主席:謝謝林委員,謝謝院長。
gazette.blocks[21][1] 下一位請李柏毅委員質詢。
gazette.agenda.page_end 92
gazette.agenda.meet_id 院會-11-1-21
gazette.agenda.speakers[0] 韓國瑜
gazette.agenda.speakers[1] 江啟臣
gazette.agenda.speakers[2] 羅智強
gazette.agenda.speakers[3] 顏寬恒
gazette.agenda.speakers[4] 呂玉玲
gazette.agenda.speakers[5] 游顥
gazette.agenda.speakers[6] 林俊憲
gazette.agenda.speakers[7] 李柏毅
gazette.agenda.speakers[8] 吳秉叡
gazette.agenda.speakers[9] 張宏陸
gazette.agenda.speakers[10] 蘇巧慧
gazette.agenda.speakers[11] 林月琴
gazette.agenda.speakers[12] 黃秀芳
gazette.agenda.speakers[13] 徐富癸
gazette.agenda.speakers[14] 許智傑
gazette.agenda.speakers[15] 魯明哲
gazette.agenda.speakers[16] 林倩綺
gazette.agenda.speakers[17] 李昆澤
gazette.agenda.page_start 26
gazette.agenda.meetingDate[0] 2024-07-05
gazette.agenda.gazette_id 1136601
gazette.agenda.agenda_lcidc_ids[0] 1136601_00003
gazette.agenda.agenda_lcidc_ids[1] 1136601_00004
gazette.agenda.meet_name 立法院第11屆第1會期第21次會議紀錄
gazette.agenda.content 施政質詢 對行政院院長報告施政方針繼續質詢─ 繼續質詢─
gazette.agenda.agenda_id 1136601_00003
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 8.08034375
transcript.pyannote[0].end 9.02534375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 9.85221875
transcript.pyannote[1].end 12.19784375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 12.92346875
transcript.pyannote[2].end 15.04971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.58159375
transcript.pyannote[3].end 13.71659375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 13.71659375
transcript.pyannote[4].end 13.73346875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 13.73346875
transcript.pyannote[5].end 13.78409375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 15.99471875
transcript.pyannote[6].end 17.07471875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 17.07471875
transcript.pyannote[7].end 17.09159375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 25.57971875
transcript.pyannote[8].end 28.07721875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 26.62596875
transcript.pyannote[9].end 27.11534375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 28.97159375
transcript.pyannote[10].end 29.25846875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 29.88284375
transcript.pyannote[11].end 34.08471875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 34.82721875
transcript.pyannote[12].end 38.03346875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 38.52284375
transcript.pyannote[13].end 43.75409375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 45.62721875
transcript.pyannote[14].end 49.33971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 49.66034375
transcript.pyannote[15].end 50.75721875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 51.68534375
transcript.pyannote[16].end 51.97221875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 52.12409375
transcript.pyannote[17].end 53.20409375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 53.44034375
transcript.pyannote[18].end 55.44846875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 56.57909375
transcript.pyannote[19].end 57.54096875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 58.30034375
transcript.pyannote[20].end 59.31284375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 59.61659375
transcript.pyannote[21].end 63.17721875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 63.80159375
transcript.pyannote[22].end 64.37534375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 65.06721875
transcript.pyannote[23].end 65.65784375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 66.14721875
transcript.pyannote[24].end 67.27784375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 67.58159375
transcript.pyannote[25].end 69.40409375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 69.65721875
transcript.pyannote[26].end 72.30659375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 72.44159375
transcript.pyannote[27].end 74.26409375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 75.02346875
transcript.pyannote[28].end 76.74471875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 77.79096875
transcript.pyannote[29].end 82.71846875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 82.85346875
transcript.pyannote[30].end 83.76471875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 84.23721875
transcript.pyannote[31].end 85.72221875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 86.19471875
transcript.pyannote[32].end 88.94534375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 90.09284375
transcript.pyannote[33].end 93.45096875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 94.58159375
transcript.pyannote[34].end 95.27346875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 95.64471875
transcript.pyannote[35].end 97.48409375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 97.51784375
transcript.pyannote[36].end 99.03659375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 99.71159375
transcript.pyannote[37].end 103.01909375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 104.01471875
transcript.pyannote[38].end 105.22971875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 106.81596875
transcript.pyannote[39].end 110.15721875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 110.41034375
transcript.pyannote[40].end 111.69284375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 112.38471875
transcript.pyannote[41].end 117.04221875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 117.04221875
transcript.pyannote[42].end 117.05909375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 117.41346875
transcript.pyannote[43].end 118.03784375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 118.03784375
transcript.pyannote[44].end 119.21909375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 119.60721875
transcript.pyannote[45].end 119.62409375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 119.62409375
transcript.pyannote[46].end 120.46784375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 120.78846875
transcript.pyannote[47].end 124.48409375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 124.61909375
transcript.pyannote[48].end 125.86784375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 125.96909375
transcript.pyannote[49].end 126.98159375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 127.08284375
transcript.pyannote[50].end 128.58471875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 129.05721875
transcript.pyannote[51].end 130.03596875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 130.27221875
transcript.pyannote[52].end 131.18346875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 131.67284375
transcript.pyannote[53].end 140.41409375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 140.95409375
transcript.pyannote[54].end 144.90284375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 145.47659375
transcript.pyannote[55].end 160.86659375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 161.62596875
transcript.pyannote[56].end 161.64284375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 161.64284375
transcript.pyannote[57].end 165.23721875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 165.70971875
transcript.pyannote[58].end 167.22846875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 168.00471875
transcript.pyannote[59].end 170.26596875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 171.12659375
transcript.pyannote[60].end 171.43034375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 171.76784375
transcript.pyannote[61].end 172.99971875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 173.26971875
transcript.pyannote[62].end 173.43846875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 174.53534375
transcript.pyannote[63].end 175.34534375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 175.95284375
transcript.pyannote[64].end 177.79221875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 178.01159375
transcript.pyannote[65].end 178.99034375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 179.49659375
transcript.pyannote[66].end 181.75784375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 182.78721875
transcript.pyannote[67].end 184.32284375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 184.81221875
transcript.pyannote[68].end 186.90471875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 187.05659375
transcript.pyannote[69].end 188.62596875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 189.23346875
transcript.pyannote[70].end 190.22909375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 190.29659375
transcript.pyannote[71].end 192.37221875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 192.96284375
transcript.pyannote[72].end 196.01721875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 196.59096875
transcript.pyannote[73].end 198.24471875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 198.66659375
transcript.pyannote[74].end 203.20596875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 204.57284375
transcript.pyannote[75].end 207.86346875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 208.55534375
transcript.pyannote[76].end 209.50034375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 210.17534375
transcript.pyannote[77].end 212.55471875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 213.80346875
transcript.pyannote[78].end 215.47409375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 215.74409375
transcript.pyannote[79].end 216.80721875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 217.38096875
transcript.pyannote[80].end 217.87034375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 218.08971875
transcript.pyannote[81].end 219.70971875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 220.77284375
transcript.pyannote[82].end 224.16471875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 224.43471875
transcript.pyannote[83].end 228.21471875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 229.07534375
transcript.pyannote[84].end 236.83784375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 237.27659375
transcript.pyannote[85].end 238.23846875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 238.54221875
transcript.pyannote[86].end 239.47034375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 240.01034375
transcript.pyannote[87].end 241.71471875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 242.33909375
transcript.pyannote[88].end 245.93346875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 247.01346875
transcript.pyannote[89].end 249.30846875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 249.47721875
transcript.pyannote[90].end 254.10096875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 254.32034375
transcript.pyannote[91].end 257.88096875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 258.26909375
transcript.pyannote[92].end 259.70346875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 260.15909375
transcript.pyannote[93].end 261.12096875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 261.23909375
transcript.pyannote[94].end 262.30221875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 262.70721875
transcript.pyannote[95].end 269.94659375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 270.23346875
transcript.pyannote[96].end 274.08096875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 274.35096875
transcript.pyannote[97].end 274.43534375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 274.43534375
transcript.pyannote[98].end 274.50284375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 274.50284375
transcript.pyannote[99].end 281.03346875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 281.03346875
transcript.pyannote[100].end 282.80534375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 283.17659375
transcript.pyannote[101].end 287.54721875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 287.85096875
transcript.pyannote[102].end 292.76159375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 293.04846875
transcript.pyannote[103].end 293.89221875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 294.46596875
transcript.pyannote[104].end 294.97221875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 294.97221875
transcript.pyannote[105].end 301.48596875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 301.85721875
transcript.pyannote[106].end 305.29971875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 305.35034375
transcript.pyannote[107].end 307.17284375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 307.59471875
transcript.pyannote[108].end 310.49721875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 310.64909375
transcript.pyannote[109].end 311.67846875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 312.48846875
transcript.pyannote[110].end 315.71159375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 316.35284375
transcript.pyannote[111].end 316.72409375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 317.31471875
transcript.pyannote[112].end 317.98971875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 318.20909375
transcript.pyannote[113].end 319.25534375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 319.44096875
transcript.pyannote[114].end 319.64346875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 319.77846875
transcript.pyannote[115].end 321.76971875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 319.96409375
transcript.pyannote[116].end 320.01471875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 322.10721875
transcript.pyannote[117].end 325.75221875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 326.02221875
transcript.pyannote[118].end 328.40159375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 329.36346875
transcript.pyannote[119].end 336.38346875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 336.70409375
transcript.pyannote[120].end 337.02471875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 337.12596875
transcript.pyannote[121].end 339.82596875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 340.60221875
transcript.pyannote[122].end 341.20971875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 342.07034375
transcript.pyannote[123].end 347.31846875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 347.75721875
transcript.pyannote[124].end 349.59659375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 350.11971875
transcript.pyannote[125].end 352.43159375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 353.29221875
transcript.pyannote[126].end 353.95034375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 354.94596875
transcript.pyannote[127].end 358.45596875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 359.11409375
transcript.pyannote[128].end 359.72159375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 360.09284375
transcript.pyannote[129].end 362.48909375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 363.14721875
transcript.pyannote[130].end 365.74596875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 366.23534375
transcript.pyannote[131].end 367.82159375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 368.29409375
transcript.pyannote[132].end 371.41596875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 371.70284375
transcript.pyannote[133].end 374.74034375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 375.06096875
transcript.pyannote[134].end 376.25909375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 377.00159375
transcript.pyannote[135].end 377.60909375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 378.33471875
transcript.pyannote[136].end 382.94159375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 383.97096875
transcript.pyannote[137].end 387.93659375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 388.27409375
transcript.pyannote[138].end 389.16846875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 389.38784375
transcript.pyannote[139].end 391.17659375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 392.02034375
transcript.pyannote[140].end 392.54346875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 392.76284375
transcript.pyannote[141].end 395.69909375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 396.18846875
transcript.pyannote[142].end 398.09534375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 398.70284375
transcript.pyannote[143].end 399.36096875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 399.42846875
transcript.pyannote[144].end 399.83346875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 400.22159375
transcript.pyannote[145].end 401.87534375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 402.51659375
transcript.pyannote[146].end 407.86596875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 408.30471875
transcript.pyannote[147].end 409.70534375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 410.09346875
transcript.pyannote[148].end 410.70096875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 410.90346875
transcript.pyannote[149].end 412.03409375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 412.23659375
transcript.pyannote[150].end 413.67096875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 414.21096875
transcript.pyannote[151].end 419.94846875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 420.37034375
transcript.pyannote[152].end 432.68909375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 432.87471875
transcript.pyannote[153].end 434.93346875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 435.23721875
transcript.pyannote[154].end 436.87409375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 437.73471875
transcript.pyannote[155].end 438.57846875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 438.94971875
transcript.pyannote[156].end 441.88596875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 442.91534375
transcript.pyannote[157].end 445.51409375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 445.58159375
transcript.pyannote[158].end 447.55596875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 448.02846875
transcript.pyannote[159].end 451.28534375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 452.07846875
transcript.pyannote[160].end 455.30159375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 455.79096875
transcript.pyannote[161].end 459.09846875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 459.68909375
transcript.pyannote[162].end 463.03034375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 463.09784375
transcript.pyannote[163].end 466.37159375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 467.13096875
transcript.pyannote[164].end 470.28659375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 470.77596875
transcript.pyannote[165].end 471.50159375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 471.82221875
transcript.pyannote[166].end 472.36221875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 472.85159375
transcript.pyannote[167].end 475.56846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 476.46284375
transcript.pyannote[168].end 476.93534375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 477.96471875
transcript.pyannote[169].end 480.24284375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 481.44096875
transcript.pyannote[170].end 483.51659375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 484.29284375
transcript.pyannote[171].end 490.50284375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 490.77284375
transcript.pyannote[172].end 494.19846875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 494.72159375
transcript.pyannote[173].end 498.07971875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 498.07971875
transcript.pyannote[174].end 498.19784375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 498.19784375
transcript.pyannote[175].end 499.48034375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 499.15971875
transcript.pyannote[176].end 500.42534375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 500.42534375
transcript.pyannote[177].end 503.00721875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 500.44221875
transcript.pyannote[178].end 500.45909375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 503.74971875
transcript.pyannote[179].end 504.59346875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 505.09971875
transcript.pyannote[180].end 506.24721875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 507.20909375
transcript.pyannote[181].end 510.78659375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 510.97221875
transcript.pyannote[182].end 513.23346875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 513.94221875
transcript.pyannote[183].end 516.15284375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 516.47346875
transcript.pyannote[184].end 520.11846875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 520.65846875
transcript.pyannote[185].end 522.00846875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 522.31221875
transcript.pyannote[186].end 524.53971875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 525.60284375
transcript.pyannote[187].end 530.00721875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 530.24346875
transcript.pyannote[188].end 538.37721875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 533.34846875
transcript.pyannote[189].end 534.10784375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 538.64721875
transcript.pyannote[190].end 540.11534375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 540.23346875
transcript.pyannote[191].end 544.41846875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 544.41846875
transcript.pyannote[192].end 544.43534375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 544.99221875
transcript.pyannote[193].end 545.02596875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 545.02596875
transcript.pyannote[194].end 547.52346875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 547.94534375
transcript.pyannote[195].end 549.61596875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 550.25721875
transcript.pyannote[196].end 553.75034375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 553.95284375
transcript.pyannote[197].end 560.09534375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 560.33159375
transcript.pyannote[198].end 562.23846875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 562.66034375
transcript.pyannote[199].end 562.93034375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 563.04846875
transcript.pyannote[200].end 565.09034375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 565.88346875
transcript.pyannote[201].end 567.08159375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 567.53721875
transcript.pyannote[202].end 571.58721875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 572.29596875
transcript.pyannote[203].end 574.45596875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 574.75971875
transcript.pyannote[204].end 579.24846875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 579.83909375
transcript.pyannote[205].end 583.21409375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 583.51784375
transcript.pyannote[206].end 586.43721875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 587.06159375
transcript.pyannote[207].end 592.34346875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 592.66409375
transcript.pyannote[208].end 595.51596875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 596.29221875
transcript.pyannote[209].end 596.98409375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 597.65909375
transcript.pyannote[210].end 602.78909375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 602.99159375
transcript.pyannote[211].end 606.29909375
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 603.17721875
transcript.pyannote[212].end 603.29534375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 606.43409375
transcript.pyannote[213].end 608.66159375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 607.98659375
transcript.pyannote[214].end 610.41659375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 610.65284375
transcript.pyannote[215].end 612.20534375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 612.57659375
transcript.pyannote[216].end 620.22096875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 620.87909375
transcript.pyannote[217].end 627.54471875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 628.40534375
transcript.pyannote[218].end 630.09284375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 630.31221875
transcript.pyannote[219].end 631.32471875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 631.91534375
transcript.pyannote[220].end 640.70721875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 641.16284375
transcript.pyannote[221].end 643.18784375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 643.44096875
transcript.pyannote[222].end 644.68971875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 644.85846875
transcript.pyannote[223].end 646.00596875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 646.41096875
transcript.pyannote[224].end 647.32221875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 646.68096875
transcript.pyannote[225].end 646.71471875
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 647.54159375
transcript.pyannote[226].end 651.77721875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 652.30034375
transcript.pyannote[227].end 652.60409375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 652.97534375
transcript.pyannote[228].end 654.76409375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 655.47284375
transcript.pyannote[229].end 656.55284375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 656.83971875
transcript.pyannote[230].end 657.32909375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 657.46409375
transcript.pyannote[231].end 659.15159375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 659.20221875
transcript.pyannote[232].end 663.55596875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 665.31096875
transcript.pyannote[233].end 666.30659375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 667.55534375
transcript.pyannote[234].end 672.43221875
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 672.87096875
transcript.pyannote[235].end 673.42784375
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 674.17034375
transcript.pyannote[236].end 677.91659375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 678.50721875
transcript.pyannote[237].end 679.99221875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 680.27909375
transcript.pyannote[238].end 682.27034375
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 682.97909375
transcript.pyannote[239].end 688.90221875
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 689.39159375
transcript.pyannote[240].end 691.31534375
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 691.56846875
transcript.pyannote[241].end 693.39096875
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 693.91409375
transcript.pyannote[242].end 696.12471875
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 696.51284375
transcript.pyannote[243].end 701.23784375
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 701.99721875
transcript.pyannote[244].end 703.02659375
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 703.41471875
transcript.pyannote[245].end 707.22846875
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 707.26221875
transcript.pyannote[246].end 709.86096875
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 709.97909375
transcript.pyannote[247].end 710.80596875
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 711.29534375
transcript.pyannote[248].end 714.43409375
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 714.63659375
transcript.pyannote[249].end 719.36159375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 719.71596875
transcript.pyannote[250].end 721.48784375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 721.85909375
transcript.pyannote[251].end 730.29659375
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 730.44846875
transcript.pyannote[252].end 732.06846875
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 732.54096875
transcript.pyannote[253].end 734.11034375
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 734.44784375
transcript.pyannote[254].end 734.83596875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 735.13971875
transcript.pyannote[255].end 741.11346875
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 741.41721875
transcript.pyannote[256].end 745.90596875
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 747.03659375
transcript.pyannote[257].end 750.74909375
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 750.76596875
transcript.pyannote[258].end 755.60909375
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 755.69346875
transcript.pyannote[259].end 764.75534375
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 765.44721875
transcript.pyannote[260].end 768.33284375
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 768.51846875
transcript.pyannote[261].end 772.19721875
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 772.61909375
transcript.pyannote[262].end 774.03659375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 774.45846875
transcript.pyannote[263].end 780.51659375
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 780.76971875
transcript.pyannote[264].end 788.17784375
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 788.81909375
transcript.pyannote[265].end 789.83159375
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 790.15221875
transcript.pyannote[266].end 796.27784375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 797.03721875
transcript.pyannote[267].end 798.70784375
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 799.31534375
transcript.pyannote[268].end 800.61471875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 800.96909375
transcript.pyannote[269].end 801.03659375
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 801.03659375
transcript.pyannote[270].end 801.05346875
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 801.07034375
transcript.pyannote[271].end 806.79096875
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 807.22971875
transcript.pyannote[272].end 808.79909375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 809.44034375
transcript.pyannote[273].end 810.58784375
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 810.95909375
transcript.pyannote[274].end 817.05096875
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 817.50659375
transcript.pyannote[275].end 819.75096875
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 820.10534375
transcript.pyannote[276].end 821.43846875
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 822.19784375
transcript.pyannote[277].end 822.68721875
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 823.00784375
transcript.pyannote[278].end 823.75034375
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 824.23971875
transcript.pyannote[279].end 825.13409375
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 826.18034375
transcript.pyannote[280].end 827.24346875
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 827.42909375
transcript.pyannote[281].end 827.86784375
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 828.84659375
transcript.pyannote[282].end 830.60159375
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 830.75346875
transcript.pyannote[283].end 831.69846875
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 832.23846875
transcript.pyannote[284].end 833.90909375
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 834.21284375
transcript.pyannote[285].end 836.20409375
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 836.55846875
transcript.pyannote[286].end 840.25409375
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 840.64221875
transcript.pyannote[287].end 846.02534375
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 846.36284375
transcript.pyannote[288].end 847.51034375
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 847.96596875
transcript.pyannote[289].end 850.39596875
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 850.96971875
transcript.pyannote[290].end 851.37471875
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 852.06659375
transcript.pyannote[291].end 854.63159375
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 855.23909375
transcript.pyannote[292].end 860.21721875
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 860.85846875
transcript.pyannote[293].end 863.99721875
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 865.02659375
transcript.pyannote[294].end 871.47284375
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 871.77659375
transcript.pyannote[295].end 875.80971875
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 876.02909375
transcript.pyannote[296].end 877.88534375
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 878.32409375
transcript.pyannote[297].end 879.97784375
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 880.83846875
transcript.pyannote[298].end 881.95221875
transcript.pyannote[299].speaker SPEAKER_01
transcript.pyannote[299].start 882.49221875
transcript.pyannote[299].end 884.78721875
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 885.34409375
transcript.pyannote[300].end 889.02284375
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 889.20846875
transcript.pyannote[301].end 890.01846875
transcript.pyannote[302].speaker SPEAKER_01
transcript.pyannote[302].start 890.35596875
transcript.pyannote[302].end 899.62034375
transcript.pyannote[303].speaker SPEAKER_00
transcript.pyannote[303].start 900.05909375
transcript.pyannote[303].end 904.51409375
transcript.pyannote[304].speaker SPEAKER_01
transcript.pyannote[304].start 900.16034375
transcript.pyannote[304].end 900.85221875
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 903.56909375
transcript.pyannote[305].end 903.63659375
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 903.63659375
transcript.pyannote[306].end 903.88971875
transcript.pyannote[307].speaker SPEAKER_00
transcript.pyannote[307].start 905.02034375
transcript.pyannote[307].end 912.91784375
transcript.pyannote[308].speaker SPEAKER_00
transcript.pyannote[308].start 913.22159375
transcript.pyannote[308].end 915.95534375
transcript.pyannote[309].speaker SPEAKER_00
transcript.pyannote[309].start 916.59659375
transcript.pyannote[309].end 916.88346875
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 916.88346875
transcript.pyannote[310].end 920.30909375
transcript.pyannote[311].speaker SPEAKER_01
transcript.pyannote[311].start 920.64659375
transcript.pyannote[311].end 931.51409375
transcript.whisperx[0].start 8.117
transcript.whisperx[0].end 16.541
transcript.whisperx[0].text 好,謝謝主席。本時邀請我們行政院卓院長。卓院長請備選。我們交通部李部長。部長請備選。林委員好。院長好。部長好。自從賴清德總統當選到上任以來,
transcript.whisperx[1].start 34.841
transcript.whisperx[1].end 62.937
transcript.whisperx[1].text 他曾多次在公開場合說過未來臺灣的經濟和政策的發展重心將會逐步難移。例如今年初賴總統曾經對高科技產業發言的時候說說未來五十年由南部來發揮力量。上個禮拜六,賴總統來到高雄捷運的岡山車站通車典禮。
transcript.whisperx[2].start 63.82
transcript.whisperx[2].end 90.665
transcript.whisperx[2].text 你也說,他說現在他來做總統,要讓臺灣的發展平均,要支持南部發展,最先進的產業會往中南部來移動。我記得6月15日,卓院長你很辛苦地到臺南沙崙的科學園區,來正式宣布國家的AI園區會設在臺南的沙崙,是這樣齁?
transcript.whisperx[3].start 94.636
transcript.whisperx[3].end 111.509
transcript.whisperx[3].text 所以我認為賴總統的想法和做法我把它稱呼為建設大南方就是說未來我們政府的施政重心會更加重視的南北的均衡
transcript.whisperx[4].start 112.421
transcript.whisperx[4].end 140.276
transcript.whisperx[4].text 更加的投資南部,來扭轉多年以來的南北部平衡。不知道院長,總院長您的看法是如何?謝謝委員。總統的講法也一定是在均衡台灣的理念之下,建設大南方,但是也不會忽略或是放掉北部跟中部。因為過去北部中部的發展已經有相當長的一段的時間,所以各方的健全的發展也比較多。那南方過去承受的比較多的
transcript.whisperx[5].start 140.896
transcript.whisperx[5].end 144.358
transcript.whisperx[5].text 但是我們提到了高科技產業的往南邊移動當然有政策上的因素但是你只有先天需要的
transcript.whisperx[6].start 174.6
transcript.whisperx[6].end 191.868
transcript.whisperx[6].text 南部有土地,台南的沙崙還有南科土地加起來大概有將近2000公頃還可以使用。另外就電力,其實現在北部的電力都是靠南電北送,長途的電力輸送增加損耗。
transcript.whisperx[7].start 193.001
transcript.whisperx[7].end 219.418
transcript.whisperx[7].text 尤其你在北部幾乎不可能再蓋新的電廠所以未來的高科技產業的發展勢必一定會往中南部移動這個也是必然的所以在未來的產業會往南部移動的前提之下我們希望政府我要提問的是我們的基礎建設做好了嗎我今天要來跟部長院長討論的就是說我們必須要超前部署
transcript.whisperx[8].start 220.816
transcript.whisperx[8].end 245.567
transcript.whisperx[8].text 我們必須要來進速發展提升南部的尤其台南的一些基礎建設像台南全世界最重要的半導體的生產基地還有未來AI最重要的一個發展的地方但是它的基礎建設尤其交通我今天特別要來請教院長還有李部長
transcript.whisperx[9].start 247.059
transcript.whisperx[9].end 275.914
transcript.whisperx[9].text 那我也跟總院長來報告啦,我跟李孟彥部長在談台南的交通啊,非常輕鬆啊,因為你知道嘛,他在台南活過很多年的時間啊,做過台南的局長,副市長,還有代理局長。所以,李孟彥,現在來當年我們的交通不正,對台南的交通,我當年跟他討論,有時候講了一些細節啦,不正不一定知道。那李孟彥部長喔,非常清楚啦,他甚至不用看圖啦,
transcript.whisperx[10].start 284.377
transcript.whisperx[10].end 302.623
transcript.whisperx[10].text 李副長非常的認真也情保也熟悉業務那他代表行政院去跟外界所做任何的協商我們行政院都非常支持好謝謝院長李副長就經過我們兩任市長我們現在就要同時把台南首泊的基礎幹線就三橫三縱他三條第二線就是台61
transcript.whisperx[11].start 305.905
transcript.whisperx[11].end 325.284
transcript.whisperx[11].text 國道1到國道3那三條環所謂三橫就是台84號快速道路就84號快速道路還有國道8還有86號那黃偉哲市長再多一橫就是北外環道路所以就由三橫三縱變成了三縱四橫
transcript.whisperx[12].start 329.417
transcript.whisperx[12].end 358.467
transcript.whisperx[12].text 那其中啦,這骨架道路都做差不多了啦。我們現在要破通的,就是要有一個破隔的地方。那有一些缺口啦,我們要把它彌補起來。在這齁,昨院長知道齁,我最近兩禮拜啊,他每禮拜都邀請檸檬院部長到台南去。我們在看台南的一些溝通齁,尤其啊,針對藍科的地方啦。藍科齁,也讓昨院長了解,藍科現在大概有9萬多個人啦。
transcript.whisperx[13].start 359.121
transcript.whisperx[13].end 359.301
transcript.whisperx[13].text ﹚林俊憲
transcript.whisperx[14].start 384.509
transcript.whisperx[14].end 397.124
transcript.whisperx[14].text 臺南市政府應該要針對大南科訂定一個生活圈的道路計畫所以我最近有請李部長幾乎每個禮拜去啦最近我跟李部長有講起
transcript.whisperx[15].start 398.852
transcript.whisperx[15].end 406.943
transcript.whisperx[15].text 例如我們剛才說的烏橋中路,這是南口的一條烏橋中路,它被曾文熙凍掉了。那我們現在做一個橋,讓烏橋中路可以跨越曾文熙。
transcript.whisperx[16].start 414.392
transcript.whisperx[16].end 432.322
transcript.whisperx[16].text 同時曾文熙的右岸那條紅色的有一個南40線,他可以延伸到關田,讓曾文熙增加一條走廊,可以讓嘉麗、馬道、關田,這三個地方都有很多藍科的人,住在那裡很好,還是他上班要經過,讓他的溝通更加流暢,就不用在那裡逛來逛去。另外,我剛剛也有說到三港大街的溝通改善,
transcript.whisperx[17].start 442.97
transcript.whisperx[17].end 464.829
transcript.whisperx[17].text 市港大橋現在交通非常可怕,經過公路總局的統計,一趟在時上班時間7點到8點,一小時內,交通的車輛手有三千幾台,幾乎是一秒鐘,一秒鐘就有一台車交通了,所以他那個交通已經塞爆了,急需要一個改善的計畫,那這個計畫,
transcript.whisperx[18].start 467.726
transcript.whisperx[18].end 482.901
transcript.whisperx[18].text 現在臨時情報到交通部已經有定型了。這部分交通部這裡能夠盡快來完成這個西港大橋周邊的交通的改善。還有一個就是國道8號。
transcript.whisperx[19].start 484.392
transcript.whisperx[19].end 512.882
transcript.whisperx[19].text 如果院長有時間在台南,在你的台南,你如果遭到國盜包,你可能會看到一個奇蹟啦。國盜有紅色燈的啦,剛才這條啦,全台灣啦。國盜居然跑到一半變成平面道路啦。還有紅綠燈啦。還跟市區的道路這樣拍桿喔,還來到北館。這個博文啊,李部長也有答應,尤其在這個國盜配合在安定這個地方,我們要把它告假,把它縫合起來。
transcript.whisperx[20].start 514.505
transcript.whisperx[20].end 524.27
transcript.whisperx[20].text 部裡面也已經同意阿那現在阿我們需要阿卓院長喔鼎力地來支持阿不然喔你看這個這都在人口旁邊出入必經之道
transcript.whisperx[21].start 525.623
transcript.whisperx[21].end 525.683
transcript.whisperx[21].text 另外﹖
transcript.whisperx[22].start 545.137
transcript.whisperx[22].end 571.439
transcript.whisperx[22].text 還有一段就是說國道保法還要再延長,因為在台南市的安安區,國土配合是臨時要進台南市區最重要的一條路,他要進安安區,要進中西區,要進安平,他都要找國土配合,但國土配合在安安區,他很大部分都變平面道路,都在停安卸停,那這個部分其實有一個界位,之前有上一個界位來搞都沒有,
transcript.whisperx[23].start 572.352
transcript.whisperx[23].end 593.792
transcript.whisperx[23].text 就是這個國土配合你要給他拉長。要讓他可以經過台江大道到岸中路。從新籍過台江大道一直到岸中路。等於說把國道保護再拉長。那這個部分齁,甚至經費都估算出來了。大概有70幾億的預算。我也請請你們院部長,這條路你了解嗎?國土配合給他拉長這裡。
transcript.whisperx[24].start 597.712
transcript.whisperx[24].end 619.93
transcript.whisperx[24].text 我知道這是一個平面大道,就是平面的台江大道,那如果國道8要高架要往這邊延伸,整個還要再做一個進一步...不是,它是跟台江大道交叉而已啦。今天就是國道8其實它走在台時期線上,你等它就是把國道8,其實它就是這麼高架、這麼平面、這麼高架。
transcript.whisperx[25].start 621.274
transcript.whisperx[25].end 626.651
transcript.whisperx[25].text 我們剛才還要安定這個平面的部分給他補起來嘛。另外他就要安安顧了啦,你都到這裡繼續讓他走啦。
transcript.whisperx[26].start 628.459
transcript.whisperx[26].end 628.899
transcript.whisperx[26].text 另外就是這個台86號
transcript.whisperx[27].start 655.506
transcript.whisperx[27].end 671.63
transcript.whisperx[27].text 台86在所進中議定的時候有核定,台86的重擔就在高雄內蒙去。那台86,也讓左院長看了解一下,台86跟剛才8號都一樣,他就是台86離國道3號就近在咫尺。
transcript.whisperx[28].start 678.707
transcript.whisperx[28].end 697.617
transcript.whisperx[28].text 但是因為也是掉下去變成平面道路,那掉下去平面道路那個路口不得了啊,那個路口齁,臺思周甲縣齁,那是山區必經道路啦,一邊歐元廟一邊對新華,所以你八十六號在那個平面道路交叉的路口齁,大太扯啦,因為八十六號還有很多要走的國道3號啦。
transcript.whisperx[29].start 702.022
transcript.whisperx[29].end 702.042
transcript.whisperx[29].text ﹚廣告
transcript.whisperx[30].start 722.429
transcript.whisperx[30].end 744.52
transcript.whisperx[30].text 所以這個報文還牽涉到未來台南市及高雄市,兩個直轄市,這也是一個很重要,這個三區的通營的道路。這報文,請高農部主評要趕緊來做。也就是說未來台南還有很多像新疆高流道、台港快速道路、六甲外環道路等等,這些都是未來非常重要的交通規劃。所以我跟你說,
transcript.whisperx[31].start 747.073
transcript.whisperx[31].end 765.367
transcript.whisperx[31].text 議員議員議員議員議員議員議員
transcript.whisperx[32].start 766.008
transcript.whisperx[32].end 787.925
transcript.whisperx[32].text 昨天委員長了解,台南的鐵路地下化,你應該提到台南的鐵路地下化,現在完全80%。那我們要再延長,因為延長過永康,因為應該說現在是台南最多人,二十幾萬人口的一個行政區。所以鐵路地下化,我一天請李孟彥部長來,把已經討論多年的永康的延伸段,把它確定清楚。
transcript.whisperx[33].start 788.886
transcript.whisperx[33].end 816.806
transcript.whisperx[33].text 所以現在醫療喔,鐵路鐵路的沿燈到櫻空車頭100,可以過永康的永大路。另外國立壁就是新市啦,新市就開始高價。所以永康的鐵路地下化延伸喔,可以消毒,永康有三個平交道,三個路橋,一個人形地下道可以消毒。你要到新市喔,新市那台鐵高價啦,可以消除新市五個平交道,一個寒凍啦。
transcript.whisperx[34].start 817.566
transcript.whisperx[34].end 818.206
transcript.whisperx[34].text ﹚林俊憲﹚林俊憲﹚林俊憲
transcript.whisperx[35].start 832.244
transcript.whisperx[35].end 832.544
transcript.whisperx[35].text 委員.林俊憲
transcript.whisperx[36].start 861.916
transcript.whisperx[36].end 881.102
transcript.whisperx[36].text 這個幾乎最新的一條黃線的捷運的規劃,因為這個運作也很重要,它在南區、在西區,因為西區過安南區到新吉南區。就是說它在南區、中西區、安平、安南區到新吉區的這個新的捷運。這個規劃案我們都寫,因為你們部長的職責。
transcript.whisperx[37].start 882.537
transcript.whisperx[37].end 899.451
transcript.whisperx[37].text 因為台南市的捷運,尤其是最成熟的是藍線,現在保齡已經核定了,高等部核定了,上到行政院等行政院核定,這保齡是不是請到卓院長進促行政院來完成審定,好不好?
transcript.whisperx[38].start 900.291
transcript.whisperx[38].end 915.769
transcript.whisperx[38].text 市政府的基本設計已經完成,交通部也已經抱怨了。那我們現在加速來看看這個內容,那盡速把這個藍線讓他更成熟去執行這個藍線。那其他的還有綠線跟剛剛委員說的黃線,這可行性評估跟相關的作業都在進行當中。
transcript.whisperx[39].start 916.973
transcript.whisperx[39].end 917.093
transcript.whisperx[39].text 主席