IVOD_ID |
151400 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/151400 |
日期 |
2024-04-18 |
會議資料.會議代碼 |
委員會-11-1-23-7 |
會議資料.會議代碼:str |
第11屆第1會期交通委員會第7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 |
7 |
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1會期交通委員會第7次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-04-18T10:06:20+08:00 |
結束時間 |
2024-04-18T10:18:25+08:00 |
影片長度 |
00:12:05 |
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/566e821c95e2b4457f1654fde96f5ab251d3d820e134d652c5dab72e655c1c94c2d5238c042452c75ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
蔡其昌 |
委員發言時間 |
10:06:20 - 10:18:25 |
會議時間 |
2024-04-18T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期交通委員會第7次全體委員會議(事由:一、審查113年度中央政府總預算關於交通部主管預算凍結案計31案。
二、審查行政院函請審議「道路交通管理處罰條例第七條之一、第六十三條及第六十三條之二條文修正草案」案。
【僅進行詢答】
【4月15日、17日及18日三天一次會】) |
gazette.lineno |
218 |
gazette.blocks[0][0] |
蔡委員其昌:(10時6分)謝謝主席,請部長。 |
gazette.blocks[1][0] |
主席:請王部長。 |
gazette.blocks[2][0] |
王部長國材:蔡委員好。 |
gazette.blocks[3][0] |
蔡委員其昌:部長早。部長,首先第一個題目我想來討論一下海線鐵路雙軌化,今年年初已經核定了嘛! |
gazette.blocks[4][0] |
王部長國材:是。 |
gazette.blocks[5][0] |
蔡委員其昌:本席想利用質詢的機會再一次就教交通部,接下來的程序是會進入綜規跟細部設計,這個時程的預計狀況大概是如何? |
gazette.blocks[6][0] |
王部長國材:我先簡單講一下,就是海線雙軌核定要跟現在的海線高架化做一個整合,所以他們大概把這個部分做一個討論,後續海線過了以後就是做綜合規劃,時程部分我請局長來跟你報告。 |
gazette.blocks[7][0] |
楊局長正君:跟委員報告,一般鐵路的綜規作業大概需要15到18個月左右,目前因為剛核定,我們正在做招標的準備作業,所以確切的期程一旦確定會跟委員報告。 |
gazette.blocks[8][0] |
蔡委員其昌:好,我想部長、局長都很清楚,本席長期對於海線雙軌化其實非常地關注,而且過去8年我們不知道開過多少次會議,這個事情的重要,不是只有本席選區的問題,海線的雙軌化是讓整個臺鐵的運量,過去山線都是爆滿的,火車非常地壅塞,但是海線卻一車難求,所以長期以來我們一直很希望海線的火車能夠增加,但礙於很多段的單軌,所以海線的鐵路班次一直沒有辦法增加,所以歸根究柢、釜底抽薪,一定要快速地完成海線鐵路的雙軌化。 |
gazette.blocks[9][0] |
王部長國材:是。 |
gazette.blocks[10][0] |
蔡委員其昌:在這麼多年來的爭取、努力,你們也完成了可行性評估,本席也是按照程序,不會提特別條例去要求你們多久之內要做好,沒有,本席只是不斷地督促、要求,在做為一位立法委員的權力底下去要求你們要儘速、要趕快,你們不快,本席就罵;你們快,我就給你們鼓勵。所以現在總算可行性評估完成,而且馬上要進入綜規,但我們又卡到了高架化的問題,也就是本席過去在林部長擔任林市長的時代,我們所提的海線鐵路雙軌高架是一個案子,後來在幾年前,本席覺得雙軌化跟高架化如果在同一個案子的情況底下,因為高架化依照規定涉及地方政府要部分負擔,地方政府如果不願意出這個錢,那高架化就會一直卡住,所以我們把它切開來,雙軌歸雙軌、雙軌高架歸雙軌高架,也因為如此,我們才得以在這個時間點完成雙軌化的評估。 |
gazette.blocks[10][1] |
但現在又面臨到捷運藍線會穿過臺鐵,所以勢必有一段可能會涉及到高架,但是只要涉及到高架,又要地方政府出錢,因此本席的結論是,如果臺中市政府這麼多年來還是不願意出錢,那本席站在海線鄉親的立場,我會要求說雙軌化一定不能被耽擱啦!就是雙軌化不能因為一直等待沒有效率的地方政府,或者遲不出錢的地方政府、不重視海線雙軌高架的地方政府,結果讓我們的雙軌化受到耽擱,這件事情是本席不能夠接受的。所以你們一定要有一個時間跟地方政府做最有效率的溝通,要做不要做一句話,如果不做,我們雙軌不能停,不能行政院通過了雙軌,就為了等地方政府而一拖再拖,這個是鄉親不能夠接受的。如果地方政府堅持不願意出這個錢,我們的雙軌化不能被耽擱、被影響,這樣有沒有問題? |
gazette.blocks[11][0] |
王部長國材:我們過去的雙軌的確被臺中海線的高架還有大慶─烏日耽擱一段時間,現在我們覺得沒辦法等,所以直接核定雙軌,原來它是用山手線,現在會分大慶─烏日,還有包括海線,另外就是…… |
gazette.blocks[12][0] |
蔡委員其昌:彩虹線,切三個段,一案變三案。 |
gazette.blocks[13][0] |
王部長國材:我們現在看起來,大慶─烏日跟海線應該都沒有問題,但是的確臺中市政府提到要中央全額負擔,因為包括高雄、包括北部,幾乎都按照現在的遊戲規則在走,所以我們是期待趕快確定,確定以後,剛才談到不管跟藍線的介面,或是跟雙軌的介面就可以趕快建立起來。 |
gazette.blocks[14][0] |
蔡委員其昌:部長,目前如果中央全額負擔,大概全臺灣有多少縣市等著中央全額負擔的高架化? |
gazette.blocks[15][0] |
王部長國材:這個很多。 |
gazette.blocks[16][0] |
蔡委員其昌:很多,你有沒有算過這個預算大概幾兆或者幾千億? |
gazette.blocks[17][0] |
王部長國材:現在各個地方非常多,有的是高架,有的是地下,比如說桃園,它也要負擔很多錢,嘉義現在在做也要付錢。 |
gazette.blocks[18][0] |
蔡委員其昌:那個叫立體化。 |
gazette.blocks[19][0] |
王部長國材:對,都是立體化,包括嘉義現在在施工,那每個都回到不要出錢。 |
gazette.blocks[20][0] |
蔡委員其昌:所以這個沒有政黨考量嘛! |
gazette.blocks[21][0] |
王部長國材:對,沒有,就一致。 |
gazette.blocks[22][0] |
蔡委員其昌:嘉義是嘉義縣還是嘉義市? |
gazette.blocks[23][0] |
王部長國材:兩個都有,嘉義市在施工,嘉義縣在…… |
gazette.blocks[24][0] |
蔡委員其昌:都有嘛!所以不會因為嘉義縣是民進黨執政,你就同意嘛! |
gazette.blocks[25][0] |
王部長國材:不會。那高雄要哭…… |
gazette.blocks[26][0] |
蔡委員其昌:所以這個一定要對外說明清楚,就是因為預算必須要合理化,對於每一個縣市政府要立體化,就是高架或地下,它要進行專業、可行,甚至未來營運效率的評估,對不對? |
gazette.blocks[27][0] |
王部長國材:是。 |
gazette.blocks[28][0] |
蔡委員其昌:所以我們希望中央、地方分別來負擔嘛! |
gazette.blocks[29][0] |
王部長國材:是。 |
gazette.blocks[30][0] |
蔡委員其昌:這個也是馬總統時代通過的辦法嘛! |
gazette.blocks[31][0] |
王部長國材:是。 |
gazette.blocks[32][0] |
蔡委員其昌:我想這個要對外說明清楚,所以本席再一次強調,海線的鐵路雙軌化不能因為地方政府在高架化的問題上不出錢,而導致雙軌化受到延誤,這個我想我再一次強調。這個沒有問題啦? |
gazette.blocks[33][0] |
王部長國材:好,我們現在都分開個別計畫在走。 |
gazette.blocks[34][0] |
蔡委員其昌:我也贊成雙軌高架,我不是反對,我很贊成,但是不可以因為一個地方政府遲不出錢,奮死抵抗,我們的雙軌化就因為這樣被耽擱,這個不行。 |
gazette.blocks[35][0] |
王部長國材:瞭解。 |
gazette.blocks[36][0] |
蔡委員其昌:第二個問題,昨天我有提到觀光的問題,部長,疫情前我們Inbound的高峰是1,000萬對不對? |
gazette.blocks[37][0] |
王部長國材:接近1,200萬。 |
gazette.blocks[38][0] |
蔡委員其昌:不好意思,超過1,000萬,是1,200萬嘛! |
gazette.blocks[39][0] |
王部長國材:1,187萬。 |
gazette.blocks[40][0] |
蔡委員其昌:那去年是多少? |
gazette.blocks[41][0] |
王部長國材:648萬。 |
gazette.blocks[42][0] |
蔡委員其昌:那今年預估多少? |
gazette.blocks[43][0] |
王部長國材:現在就以1,000萬為目標。 |
gazette.blocks[44][0] |
蔡委員其昌:1到4月覺得狀況好不好? |
gazette.blocks[45][0] |
周署長永暉:我們第一季是195萬,將近200萬。 |
gazette.blocks[46][0] |
蔡委員其昌:比去年成長多少? |
gazette.blocks[47][0] |
周署長永暉:相對去年的話,大概已經恢復到七成了。 |
gazette.blocks[48][0] |
蔡委員其昌:比去年的第一季成長? |
gazette.blocks[49][0] |
周署長永暉:沒錯。 |
gazette.blocks[50][0] |
蔡委員其昌:因為你的目標要1,000萬,所以你要按季達標。 |
gazette.blocks[51][0] |
王部長國材:第一季如果200萬,乘以四就800萬,我們覺得這是往上升的,所以我們的目標就是1,000萬。 |
gazette.blocks[52][0] |
蔡委員其昌:我覺得你要按季去追蹤,不然等到最後12月到了,才發現還差很遠,那時候你已經沒有方法了,但按季檢討,你就可以發現這個趨勢對不對,我們還可以用什麼方法,因為今年到現在才4月,換言之,你還有好幾個月可以想辦法。 |
gazette.blocks[53][0] |
周署長永暉:我們是跟2019年比。 |
gazette.blocks[54][0] |
蔡委員其昌:Outbound的話我們今年成長多少?大家都在講現在旅遊型態改變了,觀光型態改變了,大家都愛出國,大家甚至批評說比較窮的人出國,臺灣比較貴,所以有錢留在臺灣,沒錢的人出國。 |
gazette.blocks[55][0] |
周署長永暉:2019年是1,700萬。 |
gazette.blocks[56][0] |
蔡委員其昌:2019年是1,700萬出國,那去年呢? |
gazette.blocks[57][0] |
周署長永暉:去年是1,100萬。 |
gazette.blocks[58][0] |
蔡委員其昌:數字對不對? |
gazette.blocks[59][0] |
周署長永暉:我們都按照移民署的資料。 |
gazette.blocks[60][0] |
蔡委員其昌:Outbound的數字是不是很明顯的上升?還是只是大家感覺機場人很多,所以大家就這樣說? |
gazette.blocks[61][0] |
周署長永暉:相對去年是成長。 |
gazette.blocks[62][0] |
蔡委員其昌:第一季也很明顯的成長,對不對? |
gazette.blocks[63][0] |
周署長永暉:對。 |
gazette.blocks[64][0] |
蔡委員其昌:好,所以旅遊型態真的在改變。我今天就先姑且不論這幾年以來長期的問題,像缺工等等的問題,部長或署長有沒有想過,今年用什麼方式讓旅客可以增加?時間到了是嗎?這個問題回答完就好。 |
gazette.blocks[65][0] |
周署長永暉:我們提供書面資料,因為我們現在是要五路齊發,我們確實也需要增加點、增加推廣會、增加露出,包含戶外的、室內的,還有社群。 |
gazette.blocks[66][0] |
蔡委員其昌:我提供一個啦!我覺得還是要有亮點,我隨便舉一個例子,大巨蛋完工了,大巨蛋是一個為棒球或者表演成立的建築物,它一開始的出發點絕對不是為了臺灣的觀光,但是因為這個建築物的完成,你看我們職棒的統計數據就可以發現,很多人來大巨蛋看球,除了球迷之外,還有第二種人是來觀光的,他把大巨蛋視為觀光景點,他來體驗一下,哎呦!坐在一個室內棒球場看棒球,是他這一輩子沒有過的體驗,所以他的觀光概念大過於看球賽的輸贏。這個叫什麼?這個就是我講的觀光要從這裡做起。杜董事長也有來,你看,臺鐵公司化之後,臺鐵開始跟民間合作,譬如說跟雄獅旅遊去做鳴日號列車,鳴日號到今天為止都還一票難求,對不對? |
gazette.blocks[67][0] |
王部長國材:對。 |
gazette.blocks[68][0] |
蔡委員其昌:一票難求為什麼不複製?我的意思是,交通部底下,不要講到行政院、不要講政府,光交通部底下,其實有很多的商機都在我們自己部裡面的管轄範圍,觀光不可以靠觀光署一個人,必須要統合。 |
gazette.blocks[69][0] |
王部長國材:瞭解。 |
gazette.blocks[70][0] |
蔡委員其昌:觀光資源應該是我抓到了重點,然後我把它放大,觀光如果是每年編列預算要去蓋什麼,那怎麼可能蓋的了呢?你一個都蓋不了啦!但是你必須要抓到亮點,再透過行銷把它放大,變成它的效益會更高。本席認為這個才是重點,對不對? |
gazette.blocks[71][0] |
王部長國材:瞭解。 |
gazette.blocks[72][0] |
蔡委員其昌:所以像鐵路,應該請杜董事長趕快看臺鐵公司還有什麼資產可以跟觀光做連結,臺鐵本身的目的是交通、是運輸,可是現在不能這樣來思考這個問題了,好不好? |
gazette.blocks[73][0] |
王部長國材:好。 |
gazette.blocks[74][0] |
主席:好,謝謝。 |
gazette.blocks[75][0] |
蔡委員其昌:不好意思,主席,耽誤了很多時間,謝謝。 |
gazette.blocks[76][0] |
王部長國材:謝謝蔡委員。 |
gazette.blocks[77][0] |
主席:謝謝蔡委員發言完畢,蔡委員也是職棒聯盟的會長,也來這邊做置入的行銷。 |
gazette.blocks[77][1] |
現在請何欣純委員發言。 |
gazette.agenda.page_end |
398 |
gazette.agenda.meet_id |
委員會-11-1-23-7 |
gazette.agenda.speakers[0] |
李昆澤 |
gazette.agenda.speakers[1] |
徐富癸 |
gazette.agenda.speakers[2] |
林俊憲 |
gazette.agenda.speakers[3] |
廖先翔 |
gazette.agenda.speakers[4] |
蔡其昌 |
gazette.agenda.speakers[5] |
何欣純 |
gazette.agenda.speakers[6] |
魯明哲 |
gazette.agenda.speakers[7] |
黃健豪 |
gazette.agenda.speakers[8] |
陳素月 |
gazette.agenda.speakers[9] |
許智傑 |
gazette.agenda.speakers[10] |
牛煦庭 |
gazette.agenda.speakers[11] |
邱若華 |
gazette.agenda.speakers[12] |
謝衣鳯 |
gazette.agenda.speakers[13] |
林月琴 |
gazette.agenda.speakers[14] |
林國成 |
gazette.agenda.speakers[15] |
洪孟楷 |
gazette.agenda.speakers[16] |
洪申翰 |
gazette.agenda.speakers[17] |
楊瓊瓔 |
gazette.agenda.speakers[18] |
黃國昌 |
gazette.agenda.speakers[19] |
游顥 |
gazette.agenda.speakers[20] |
陳俊宇 |
gazette.agenda.page_start |
343 |
gazette.agenda.meetingDate[0] |
2024-04-18 |
gazette.agenda.gazette_id |
1133001 |
gazette.agenda.agenda_lcidc_ids[0] |
1133001_00008 |
gazette.agenda.meet_name |
立法院第11屆第1會期交通委員會第7次全體委員會議紀錄 |
gazette.agenda.content |
一、審查113年度中央政府總預算關於交通部主管預算凍結案計 31案;二、審查行政院函請審議
「道路交通管理處罰條例第七條之一、第六十三條及第六十三條之二條文修正草案」案 |
gazette.agenda.agenda_id |
1133001_00007 |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
2.93346875 |
transcript.pyannote[0].end |
5.38034375 |
transcript.pyannote[1].speaker |
SPEAKER_03 |
transcript.pyannote[1].start |
5.66721875 |
transcript.pyannote[1].end |
6.62909375 |
transcript.pyannote[2].speaker |
SPEAKER_03 |
transcript.pyannote[2].start |
11.05034375 |
transcript.pyannote[2].end |
11.08409375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
11.08409375 |
transcript.pyannote[3].end |
11.15159375 |
transcript.pyannote[4].speaker |
SPEAKER_03 |
transcript.pyannote[4].start |
11.15159375 |
transcript.pyannote[4].end |
11.48909375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
11.48909375 |
transcript.pyannote[5].end |
11.52284375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
11.65784375 |
transcript.pyannote[6].end |
20.78721875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
20.78721875 |
transcript.pyannote[7].end |
20.87159375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
21.22596875 |
transcript.pyannote[8].end |
23.30159375 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
23.04846875 |
transcript.pyannote[9].end |
23.18346875 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
23.30159375 |
transcript.pyannote[10].end |
23.31846875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
23.31846875 |
transcript.pyannote[11].end |
35.41784375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
23.52096875 |
transcript.pyannote[12].end |
23.67284375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
35.73846875 |
transcript.pyannote[13].end |
37.08846875 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
36.90284375 |
transcript.pyannote[14].end |
41.17221875 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
41.42534375 |
transcript.pyannote[15].end |
46.33596875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
45.91409375 |
transcript.pyannote[16].end |
46.92659375 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
46.72409375 |
transcript.pyannote[17].end |
49.55909375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
49.55909375 |
transcript.pyannote[18].end |
49.96409375 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
49.96409375 |
transcript.pyannote[19].end |
54.85784375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
54.11534375 |
transcript.pyannote[20].end |
54.13221875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
54.13221875 |
transcript.pyannote[21].end |
54.65534375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
54.65534375 |
transcript.pyannote[22].end |
54.68909375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
55.16159375 |
transcript.pyannote[23].end |
68.00346875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
68.00346875 |
transcript.pyannote[24].end |
68.17221875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
68.67846875 |
transcript.pyannote[25].end |
79.42784375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
79.69784375 |
transcript.pyannote[26].end |
89.82284375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
90.17721875 |
transcript.pyannote[27].end |
100.09971875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
92.96159375 |
transcript.pyannote[28].end |
93.11346875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
93.11346875 |
transcript.pyannote[29].end |
93.16409375 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
95.34096875 |
transcript.pyannote[30].end |
95.37471875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
95.37471875 |
transcript.pyannote[31].end |
95.42534375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
100.40346875 |
transcript.pyannote[32].end |
106.07346875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
106.15784375 |
transcript.pyannote[33].end |
107.60909375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
107.81159375 |
transcript.pyannote[34].end |
119.52284375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
119.80971875 |
transcript.pyannote[35].end |
131.08221875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
127.82534375 |
transcript.pyannote[36].end |
127.92659375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
129.12471875 |
transcript.pyannote[37].end |
129.42846875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
131.16659375 |
transcript.pyannote[38].end |
143.90721875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
131.38596875 |
transcript.pyannote[39].end |
131.62221875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
135.28409375 |
transcript.pyannote[40].end |
135.94221875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
144.05909375 |
transcript.pyannote[41].end |
146.72534375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
144.37971875 |
transcript.pyannote[42].end |
144.44721875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
147.04596875 |
transcript.pyannote[43].end |
150.03284375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
150.08346875 |
transcript.pyannote[44].end |
154.08284375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
154.62284375 |
transcript.pyannote[45].end |
156.42846875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
156.74909375 |
transcript.pyannote[46].end |
162.48659375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
162.73971875 |
transcript.pyannote[47].end |
166.14846875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
166.21596875 |
transcript.pyannote[48].end |
180.42471875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
176.02034375 |
transcript.pyannote[49].end |
176.03721875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
176.27346875 |
transcript.pyannote[50].end |
176.64471875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
180.86346875 |
transcript.pyannote[51].end |
182.12909375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
182.31471875 |
transcript.pyannote[52].end |
182.80409375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
182.71971875 |
transcript.pyannote[53].end |
184.79534375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
185.62221875 |
transcript.pyannote[54].end |
186.93846875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
187.44471875 |
transcript.pyannote[55].end |
188.52471875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
188.87909375 |
transcript.pyannote[56].end |
189.31784375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
189.28409375 |
transcript.pyannote[57].end |
191.66346875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
191.66346875 |
transcript.pyannote[58].end |
192.10221875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
192.10221875 |
transcript.pyannote[59].end |
195.22409375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
195.44346875 |
transcript.pyannote[60].end |
197.21534375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
197.90721875 |
transcript.pyannote[61].end |
201.82221875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
202.17659375 |
transcript.pyannote[62].end |
209.65221875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
209.87159375 |
transcript.pyannote[63].end |
209.90534375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
209.90534375 |
transcript.pyannote[64].end |
212.68971875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
209.93909375 |
transcript.pyannote[65].end |
210.09096875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
213.19596875 |
transcript.pyannote[66].end |
216.55409375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
216.68909375 |
transcript.pyannote[67].end |
217.19534375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
217.33034375 |
transcript.pyannote[68].end |
218.91659375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
219.35534375 |
transcript.pyannote[69].end |
219.38909375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
219.38909375 |
transcript.pyannote[70].end |
222.66284375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
222.86534375 |
transcript.pyannote[71].end |
227.28659375 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
227.28659375 |
transcript.pyannote[72].end |
227.33721875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
227.33721875 |
transcript.pyannote[73].end |
233.71596875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
227.35409375 |
transcript.pyannote[74].end |
227.82659375 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
227.82659375 |
transcript.pyannote[75].end |
227.97846875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
233.88471875 |
transcript.pyannote[76].end |
234.20534375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
234.03659375 |
transcript.pyannote[77].end |
237.17534375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
238.52534375 |
transcript.pyannote[78].end |
239.20034375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
239.43659375 |
transcript.pyannote[79].end |
244.39784375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
244.78596875 |
transcript.pyannote[80].end |
250.03409375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
250.38846875 |
transcript.pyannote[81].end |
250.72596875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
251.72159375 |
transcript.pyannote[82].end |
254.47221875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
254.69159375 |
transcript.pyannote[83].end |
255.97409375 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
255.97409375 |
transcript.pyannote[84].end |
256.42971875 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
256.51409375 |
transcript.pyannote[85].end |
262.26846875 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
262.67346875 |
transcript.pyannote[86].end |
267.48284375 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
267.80346875 |
transcript.pyannote[87].end |
282.99096875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
270.77346875 |
transcript.pyannote[88].end |
270.82409375 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
270.82409375 |
transcript.pyannote[89].end |
270.97596875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
270.97596875 |
transcript.pyannote[90].end |
271.85346875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
280.27409375 |
transcript.pyannote[91].end |
283.61534375 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
283.27784375 |
transcript.pyannote[92].end |
293.68971875 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
293.97659375 |
transcript.pyannote[93].end |
306.10971875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
297.90846875 |
transcript.pyannote[94].end |
298.24596875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
302.02596875 |
transcript.pyannote[95].end |
302.39721875 |
transcript.pyannote[96].speaker |
SPEAKER_03 |
transcript.pyannote[96].start |
306.16034375 |
transcript.pyannote[96].end |
308.59034375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
308.10096875 |
transcript.pyannote[97].end |
308.42159375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
308.59034375 |
transcript.pyannote[98].end |
314.83409375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
315.13784375 |
transcript.pyannote[99].end |
317.43284375 |
transcript.pyannote[100].speaker |
SPEAKER_03 |
transcript.pyannote[100].start |
317.43284375 |
transcript.pyannote[100].end |
319.94721875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
319.94721875 |
transcript.pyannote[101].end |
322.49534375 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
322.95096875 |
transcript.pyannote[102].end |
323.62596875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
323.25471875 |
transcript.pyannote[103].end |
324.30096875 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
324.46971875 |
transcript.pyannote[104].end |
332.62034375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
332.43471875 |
transcript.pyannote[105].end |
332.75534375 |
transcript.pyannote[106].speaker |
SPEAKER_03 |
transcript.pyannote[106].start |
332.75534375 |
transcript.pyannote[106].end |
335.28659375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
334.05471875 |
transcript.pyannote[107].end |
335.97846875 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
335.82659375 |
transcript.pyannote[108].end |
342.39096875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
342.39096875 |
transcript.pyannote[109].end |
342.59346875 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
342.59346875 |
transcript.pyannote[110].end |
342.76221875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
342.76221875 |
transcript.pyannote[111].end |
345.41159375 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
342.86346875 |
transcript.pyannote[112].end |
343.97721875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
345.69846875 |
transcript.pyannote[113].end |
345.74909375 |
transcript.pyannote[114].speaker |
SPEAKER_03 |
transcript.pyannote[114].start |
345.74909375 |
transcript.pyannote[114].end |
345.78284375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
345.78284375 |
transcript.pyannote[115].end |
345.93471875 |
transcript.pyannote[116].speaker |
SPEAKER_03 |
transcript.pyannote[116].start |
345.93471875 |
transcript.pyannote[116].end |
347.36909375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
346.62659375 |
transcript.pyannote[117].end |
348.60096875 |
transcript.pyannote[118].speaker |
SPEAKER_03 |
transcript.pyannote[118].start |
348.80346875 |
transcript.pyannote[118].end |
351.77346875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
349.69784375 |
transcript.pyannote[119].end |
355.08096875 |
transcript.pyannote[120].speaker |
SPEAKER_03 |
transcript.pyannote[120].start |
355.08096875 |
transcript.pyannote[120].end |
355.26659375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
355.26659375 |
transcript.pyannote[121].end |
356.22846875 |
transcript.pyannote[122].speaker |
SPEAKER_03 |
transcript.pyannote[122].start |
355.41846875 |
transcript.pyannote[122].end |
358.50659375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
356.93721875 |
transcript.pyannote[123].end |
359.58659375 |
transcript.pyannote[124].speaker |
SPEAKER_03 |
transcript.pyannote[124].start |
359.58659375 |
transcript.pyannote[124].end |
360.02534375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
360.14346875 |
transcript.pyannote[125].end |
365.32409375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
365.56034375 |
transcript.pyannote[126].end |
369.22221875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
369.22221875 |
transcript.pyannote[127].end |
369.59346875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
369.52596875 |
transcript.pyannote[128].end |
381.27096875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
373.82909375 |
transcript.pyannote[129].end |
374.85846875 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
377.99721875 |
transcript.pyannote[130].end |
378.21659375 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
381.27096875 |
transcript.pyannote[131].end |
381.62534375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
381.52409375 |
transcript.pyannote[132].end |
386.60346875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
387.14346875 |
transcript.pyannote[133].end |
398.19659375 |
transcript.pyannote[134].speaker |
SPEAKER_03 |
transcript.pyannote[134].start |
393.26909375 |
transcript.pyannote[134].end |
393.89346875 |
transcript.pyannote[135].speaker |
SPEAKER_03 |
transcript.pyannote[135].start |
398.19659375 |
transcript.pyannote[135].end |
400.06971875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
399.98534375 |
transcript.pyannote[136].end |
402.51659375 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
402.51659375 |
transcript.pyannote[137].end |
402.70221875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
402.70221875 |
transcript.pyannote[138].end |
404.52471875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
404.76096875 |
transcript.pyannote[139].end |
408.55784375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
409.75596875 |
transcript.pyannote[140].end |
411.32534375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
411.32534375 |
transcript.pyannote[141].end |
411.96659375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
411.54471875 |
transcript.pyannote[142].end |
414.90284375 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
413.80596875 |
transcript.pyannote[143].end |
415.34159375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
415.45971875 |
transcript.pyannote[144].end |
420.91034375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
421.11284375 |
transcript.pyannote[145].end |
425.07846875 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
425.88846875 |
transcript.pyannote[146].end |
426.78284375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
425.98971875 |
transcript.pyannote[147].end |
426.69846875 |
transcript.pyannote[148].speaker |
SPEAKER_03 |
transcript.pyannote[148].start |
427.10346875 |
transcript.pyannote[148].end |
429.21284375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
429.21284375 |
transcript.pyannote[149].end |
431.98034375 |
transcript.pyannote[150].speaker |
SPEAKER_03 |
transcript.pyannote[150].start |
431.62596875 |
transcript.pyannote[150].end |
431.79471875 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
432.11534375 |
transcript.pyannote[151].end |
432.92534375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
432.92534375 |
transcript.pyannote[152].end |
434.51159375 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
434.69721875 |
transcript.pyannote[153].end |
435.94596875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
435.94596875 |
transcript.pyannote[154].end |
436.01346875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
436.14846875 |
transcript.pyannote[155].end |
437.56596875 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
438.03846875 |
transcript.pyannote[156].end |
440.04659375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
439.57409375 |
transcript.pyannote[157].end |
440.65409375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
441.07596875 |
transcript.pyannote[158].end |
443.03346875 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
443.96159375 |
transcript.pyannote[159].end |
448.14659375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
448.14659375 |
transcript.pyannote[160].end |
449.78346875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
449.96909375 |
transcript.pyannote[161].end |
454.37346875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
450.12096875 |
transcript.pyannote[162].end |
451.28534375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
452.71971875 |
transcript.pyannote[163].end |
456.24659375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
456.75284375 |
transcript.pyannote[164].end |
460.29659375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
460.06034375 |
transcript.pyannote[165].end |
464.11034375 |
transcript.pyannote[166].speaker |
SPEAKER_03 |
transcript.pyannote[166].start |
460.92096875 |
transcript.pyannote[166].end |
461.56221875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
461.56221875 |
transcript.pyannote[167].end |
462.54096875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
464.11034375 |
transcript.pyannote[168].end |
464.39721875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
464.39721875 |
transcript.pyannote[169].end |
466.30409375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
464.41409375 |
transcript.pyannote[170].end |
464.43096875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
465.81471875 |
transcript.pyannote[171].end |
466.42221875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
466.67534375 |
transcript.pyannote[172].end |
467.14784375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
467.14784375 |
transcript.pyannote[173].end |
467.18159375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
467.18159375 |
transcript.pyannote[174].end |
467.70471875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
467.70471875 |
transcript.pyannote[175].end |
467.90721875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
468.31221875 |
transcript.pyannote[176].end |
473.45909375 |
transcript.pyannote[177].speaker |
SPEAKER_03 |
transcript.pyannote[177].start |
468.80159375 |
transcript.pyannote[177].end |
469.08846875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
469.08846875 |
transcript.pyannote[178].end |
469.86471875 |
transcript.pyannote[179].speaker |
SPEAKER_03 |
transcript.pyannote[179].start |
473.45909375 |
transcript.pyannote[179].end |
481.66034375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
473.77971875 |
transcript.pyannote[180].end |
474.20159375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
478.33596875 |
transcript.pyannote[181].end |
478.72409375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
480.42846875 |
transcript.pyannote[182].end |
480.85034375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
481.44096875 |
transcript.pyannote[183].end |
499.98659375 |
transcript.pyannote[184].speaker |
SPEAKER_03 |
transcript.pyannote[184].start |
483.60096875 |
transcript.pyannote[184].end |
484.84971875 |
transcript.pyannote[185].speaker |
SPEAKER_03 |
transcript.pyannote[185].start |
486.65534375 |
transcript.pyannote[185].end |
486.80721875 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
490.73909375 |
transcript.pyannote[186].end |
490.90784375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
499.17659375 |
transcript.pyannote[187].end |
500.52659375 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
500.59409375 |
transcript.pyannote[188].end |
501.97784375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
501.97784375 |
transcript.pyannote[189].end |
506.29784375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
506.73659375 |
transcript.pyannote[190].end |
511.03971875 |
transcript.pyannote[191].speaker |
SPEAKER_03 |
transcript.pyannote[191].start |
511.15784375 |
transcript.pyannote[191].end |
511.76534375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
511.76534375 |
transcript.pyannote[192].end |
511.78221875 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
511.81596875 |
transcript.pyannote[193].end |
520.00034375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
517.26659375 |
transcript.pyannote[194].end |
517.68846875 |
transcript.pyannote[195].speaker |
SPEAKER_03 |
transcript.pyannote[195].start |
517.68846875 |
transcript.pyannote[195].end |
517.70534375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
520.25346875 |
transcript.pyannote[196].end |
522.34596875 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
520.37159375 |
transcript.pyannote[197].end |
520.54034375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
520.64159375 |
transcript.pyannote[198].end |
520.67534375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
520.82721875 |
transcript.pyannote[199].end |
520.87784375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
522.34596875 |
transcript.pyannote[200].end |
522.80159375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
522.80159375 |
transcript.pyannote[201].end |
523.30784375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
522.95346875 |
transcript.pyannote[202].end |
524.92784375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
524.35409375 |
transcript.pyannote[203].end |
524.91096875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
524.92784375 |
transcript.pyannote[204].end |
525.02909375 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
525.02909375 |
transcript.pyannote[205].end |
526.34534375 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
527.71221875 |
transcript.pyannote[206].end |
527.86409375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
527.86409375 |
transcript.pyannote[207].end |
528.23534375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
530.81721875 |
transcript.pyannote[208].end |
530.85096875 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
530.85096875 |
transcript.pyannote[209].end |
532.20096875 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
532.53846875 |
transcript.pyannote[210].end |
533.02784375 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
533.02784375 |
transcript.pyannote[211].end |
533.97284375 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
533.97284375 |
transcript.pyannote[212].end |
534.02346875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
534.02346875 |
transcript.pyannote[213].end |
534.63096875 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
535.10346875 |
transcript.pyannote[214].end |
535.12034375 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
535.12034375 |
transcript.pyannote[215].end |
536.47034375 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
535.13721875 |
transcript.pyannote[216].end |
536.89221875 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
536.89221875 |
transcript.pyannote[217].end |
537.82034375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
538.47846875 |
transcript.pyannote[218].end |
540.95909375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
541.12784375 |
transcript.pyannote[219].end |
545.39721875 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
545.48159375 |
transcript.pyannote[220].end |
548.33346875 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
547.18596875 |
transcript.pyannote[221].end |
553.68284375 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
549.24471875 |
transcript.pyannote[222].end |
550.07159375 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
553.75034375 |
transcript.pyannote[223].end |
554.02034375 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
554.02034375 |
transcript.pyannote[224].end |
555.23534375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
555.48846875 |
transcript.pyannote[225].end |
556.12971875 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
556.28159375 |
transcript.pyannote[226].end |
558.45846875 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
558.47534375 |
transcript.pyannote[227].end |
561.95159375 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
562.62659375 |
transcript.pyannote[228].end |
562.93034375 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
563.95971875 |
transcript.pyannote[229].end |
567.09846875 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
567.55409375 |
transcript.pyannote[230].end |
572.85284375 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
572.97096875 |
transcript.pyannote[231].end |
575.02971875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
574.74284375 |
transcript.pyannote[232].end |
585.81284375 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
577.66221875 |
transcript.pyannote[233].end |
578.03346875 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
583.26471875 |
transcript.pyannote[234].end |
584.98596875 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
585.77909375 |
transcript.pyannote[235].end |
591.38159375 |
transcript.pyannote[236].speaker |
SPEAKER_00 |
transcript.pyannote[236].start |
592.42784375 |
transcript.pyannote[236].end |
598.92471875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
599.17784375 |
transcript.pyannote[237].end |
599.31284375 |
transcript.pyannote[238].speaker |
SPEAKER_00 |
transcript.pyannote[238].start |
599.31284375 |
transcript.pyannote[238].end |
602.36721875 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
603.14346875 |
transcript.pyannote[239].end |
605.48909375 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
605.53971875 |
transcript.pyannote[240].end |
606.38346875 |
transcript.pyannote[241].speaker |
SPEAKER_00 |
transcript.pyannote[241].start |
606.67034375 |
transcript.pyannote[241].end |
607.48034375 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
607.88534375 |
transcript.pyannote[242].end |
609.42096875 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
609.45471875 |
transcript.pyannote[243].end |
609.77534375 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
609.77534375 |
transcript.pyannote[244].end |
614.11221875 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
609.79221875 |
transcript.pyannote[245].end |
609.84284375 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
614.92221875 |
transcript.pyannote[246].end |
617.53784375 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
617.53784375 |
transcript.pyannote[247].end |
617.92596875 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
617.79096875 |
transcript.pyannote[248].end |
628.86096875 |
transcript.pyannote[249].speaker |
SPEAKER_02 |
transcript.pyannote[249].start |
629.33346875 |
transcript.pyannote[249].end |
629.43471875 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
629.43471875 |
transcript.pyannote[250].end |
633.09659375 |
transcript.pyannote[251].speaker |
SPEAKER_00 |
transcript.pyannote[251].start |
633.46784375 |
transcript.pyannote[251].end |
635.37471875 |
transcript.pyannote[252].speaker |
SPEAKER_02 |
transcript.pyannote[252].start |
636.06659375 |
transcript.pyannote[252].end |
636.48846875 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
636.48846875 |
transcript.pyannote[253].end |
639.59346875 |
transcript.pyannote[254].speaker |
SPEAKER_00 |
transcript.pyannote[254].start |
640.60596875 |
transcript.pyannote[254].end |
641.97284375 |
transcript.pyannote[255].speaker |
SPEAKER_00 |
transcript.pyannote[255].start |
642.76596875 |
transcript.pyannote[255].end |
644.55471875 |
transcript.pyannote[256].speaker |
SPEAKER_00 |
transcript.pyannote[256].start |
644.92596875 |
transcript.pyannote[256].end |
648.57096875 |
transcript.pyannote[257].speaker |
SPEAKER_00 |
transcript.pyannote[257].start |
648.82409375 |
transcript.pyannote[257].end |
657.19409375 |
transcript.pyannote[258].speaker |
SPEAKER_03 |
transcript.pyannote[258].start |
652.21596875 |
transcript.pyannote[258].end |
652.23284375 |
transcript.pyannote[259].speaker |
SPEAKER_02 |
transcript.pyannote[259].start |
652.23284375 |
transcript.pyannote[259].end |
653.41409375 |
transcript.pyannote[260].speaker |
SPEAKER_02 |
transcript.pyannote[260].start |
657.41346875 |
transcript.pyannote[260].end |
657.54846875 |
transcript.pyannote[261].speaker |
SPEAKER_00 |
transcript.pyannote[261].start |
657.91971875 |
transcript.pyannote[261].end |
666.88034375 |
transcript.pyannote[262].speaker |
SPEAKER_02 |
transcript.pyannote[262].start |
658.45971875 |
transcript.pyannote[262].end |
658.59471875 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
658.59471875 |
transcript.pyannote[263].end |
658.61159375 |
transcript.pyannote[264].speaker |
SPEAKER_00 |
transcript.pyannote[264].start |
667.25159375 |
transcript.pyannote[264].end |
671.31846875 |
transcript.pyannote[265].speaker |
SPEAKER_00 |
transcript.pyannote[265].start |
671.62221875 |
transcript.pyannote[265].end |
676.04346875 |
transcript.pyannote[266].speaker |
SPEAKER_02 |
transcript.pyannote[266].start |
675.97596875 |
transcript.pyannote[266].end |
676.36409375 |
transcript.pyannote[267].speaker |
SPEAKER_00 |
transcript.pyannote[267].start |
676.19534375 |
transcript.pyannote[267].end |
677.73096875 |
transcript.pyannote[268].speaker |
SPEAKER_00 |
transcript.pyannote[268].start |
677.81534375 |
transcript.pyannote[268].end |
679.46909375 |
transcript.pyannote[269].speaker |
SPEAKER_00 |
transcript.pyannote[269].start |
679.84034375 |
transcript.pyannote[269].end |
681.15659375 |
transcript.pyannote[270].speaker |
SPEAKER_00 |
transcript.pyannote[270].start |
681.71346875 |
transcript.pyannote[270].end |
684.53159375 |
transcript.pyannote[271].speaker |
SPEAKER_03 |
transcript.pyannote[271].start |
684.75096875 |
transcript.pyannote[271].end |
685.10534375 |
transcript.pyannote[272].speaker |
SPEAKER_00 |
transcript.pyannote[272].start |
685.45971875 |
transcript.pyannote[272].end |
691.43346875 |
transcript.pyannote[273].speaker |
SPEAKER_00 |
transcript.pyannote[273].start |
691.63596875 |
transcript.pyannote[273].end |
694.33596875 |
transcript.pyannote[274].speaker |
SPEAKER_00 |
transcript.pyannote[274].start |
694.77471875 |
transcript.pyannote[274].end |
698.11596875 |
transcript.pyannote[275].speaker |
SPEAKER_00 |
transcript.pyannote[275].start |
699.01034375 |
transcript.pyannote[275].end |
701.69346875 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
702.06471875 |
transcript.pyannote[276].end |
704.44409375 |
transcript.pyannote[277].speaker |
SPEAKER_00 |
transcript.pyannote[277].start |
704.56221875 |
transcript.pyannote[277].end |
705.74346875 |
transcript.pyannote[278].speaker |
SPEAKER_00 |
transcript.pyannote[278].start |
706.03034375 |
transcript.pyannote[278].end |
708.54471875 |
transcript.pyannote[279].speaker |
SPEAKER_00 |
transcript.pyannote[279].start |
708.59534375 |
transcript.pyannote[279].end |
710.26596875 |
transcript.pyannote[280].speaker |
SPEAKER_02 |
transcript.pyannote[280].start |
710.43471875 |
transcript.pyannote[280].end |
710.46846875 |
transcript.pyannote[281].speaker |
SPEAKER_00 |
transcript.pyannote[281].start |
710.46846875 |
transcript.pyannote[281].end |
712.45971875 |
transcript.pyannote[282].speaker |
SPEAKER_02 |
transcript.pyannote[282].start |
710.55284375 |
transcript.pyannote[282].end |
710.67096875 |
transcript.pyannote[283].speaker |
SPEAKER_00 |
transcript.pyannote[283].start |
712.62846875 |
transcript.pyannote[283].end |
716.59409375 |
transcript.pyannote[284].speaker |
SPEAKER_02 |
transcript.pyannote[284].start |
716.59409375 |
transcript.pyannote[284].end |
716.81346875 |
transcript.pyannote[285].speaker |
SPEAKER_00 |
transcript.pyannote[285].start |
717.10034375 |
transcript.pyannote[285].end |
717.53909375 |
transcript.pyannote[286].speaker |
SPEAKER_00 |
transcript.pyannote[286].start |
717.96096875 |
transcript.pyannote[286].end |
724.30596875 |
transcript.pyannote[287].speaker |
SPEAKER_02 |
transcript.pyannote[287].start |
718.09596875 |
transcript.pyannote[287].end |
718.55159375 |
transcript.pyannote[288].speaker |
SPEAKER_01 |
transcript.pyannote[288].start |
720.03659375 |
transcript.pyannote[288].end |
720.15471875 |
transcript.pyannote[289].speaker |
SPEAKER_02 |
transcript.pyannote[289].start |
720.15471875 |
transcript.pyannote[289].end |
721.57221875 |
transcript.pyannote[290].speaker |
SPEAKER_02 |
transcript.pyannote[290].start |
721.97721875 |
transcript.pyannote[290].end |
722.73659375 |
transcript.pyannote[291].speaker |
SPEAKER_01 |
transcript.pyannote[291].start |
723.20909375 |
transcript.pyannote[291].end |
724.01909375 |
transcript.pyannote[292].speaker |
SPEAKER_00 |
transcript.pyannote[292].start |
724.69409375 |
transcript.pyannote[292].end |
725.36909375 |
transcript.whisperx[0].start |
3.809 |
transcript.whisperx[0].end |
5.096 |
transcript.whisperx[0].text |
謝謝主席請部長請王部長 |
transcript.whisperx[1].start |
11.955 |
transcript.whisperx[1].end |
35.008 |
transcript.whisperx[1].text |
部長早部長那個首先第一個題目我想來討論一下那個我們海線的鐵路的這個雙軌化那今年年初已經核定了嘛那本席想說利用質詢這個機會再一次來就交交通部接下來的程序是我們會進入這個中規跟西部設計那這個時程大概 |
transcript.whisperx[2].start |
35.948 |
transcript.whisperx[2].end |
53.962 |
transcript.whisperx[2].text |
預計的狀況大概我現在簡單講一下就是說海線雙軌核定但是我們要跟現在的這個海線高價化做一個整合對對對所以他們大概把這一個東西做一個討論對那後續這個海線過以後就是做綜合規施程是不是我請局長來 |
transcript.whisperx[3].start |
55.284 |
transcript.whisperx[3].end |
67.923 |
transcript.whisperx[3].text |
跟委員報告一般我們鐵路的這個中規作業大概需要15到18個月左右那目前因為剛合定我們正在做招標的準備作業所以確確的期程一旦確定會跟委員報告 |
transcript.whisperx[4].start |
68.752 |
transcript.whisperx[4].end |
84.937 |
transcript.whisperx[4].text |
因為我想部長、局長都很清楚本席長期對於海線的雙軌化其實非常的關注而且過去8年我們不斷不知道開過多少次會議那這個事情的重要不只是只有本席選區的問題海線的雙軌化是讓整個台鐵的運量過去山線都是爆滿的 |
transcript.whisperx[5].start |
90.279 |
transcript.whisperx[5].end |
90.299 |
transcript.whisperx[5].text |
報告 |
transcript.whisperx[6].start |
113.112 |
transcript.whisperx[6].end |
130.508 |
transcript.whisperx[6].text |
所以這麼多年來的爭取努力我們也完成了可行性評估本席也是按照程序不會提特別條例要求你們多少之內要做好沒有那本席不斷的只是督促要求做一個立法委員的這個權利底下要求你們要盡速要趕快 |
transcript.whisperx[7].start |
131.429 |
transcript.whisperx[7].end |
154.002 |
transcript.whisperx[7].text |
那你們不快本席就罵你們快我就給你們鼓勵所以現在總算已經可行評估做完完成而且馬上要進入中規但我們又卡到了一個高價化的問題也就是本席過去本來在林部長擔任林市長的時代我們所提的是海線是鐵路雙軌高架是一個案子 |
transcript.whisperx[8].start |
154.682 |
transcript.whisperx[8].end |
173.952 |
transcript.whisperx[8].text |
後來在幾年前本席覺得這個雙軌化跟高價化如果在同一個案子的情況底下因為高價化依照規定涉及地方政府要部分負擔所以也因為地方政府如果不願意出這個錢那高價化就會一直卡住所以我們把它切開來雙軌歸雙軌雙軌高價歸雙軌高價所以也因為如此我們才可以得以在這個時間點完成雙軌化的評估 |
transcript.whisperx[9].start |
182.778 |
transcript.whisperx[9].end |
184.289 |
transcript.whisperx[9].text |
但現在又面臨到捷運南線 |
transcript.whisperx[10].start |
186.02 |
transcript.whisperx[10].end |
212.402 |
transcript.whisperx[10].text |
會穿過台鐵所以我們勢必有一段他可能會涉及到高價但是這個只要涉及到高價又要地方政府出錢所以本席的結論是如果台中市政府這麼多年來他還是不願意出錢那本席會要求站在海線鄉親的立場我會要求說雙軌化你一定不能被耽擱啦就雙軌化不能因為一直等待 |
transcript.whisperx[11].start |
213.243 |
transcript.whisperx[11].end |
235.439 |
transcript.whisperx[11].text |
沒有效率的地方政府或者持不出錢的這個地方政府不重視這個海線雙軌高架的地方政府結果讓我們的雙軌化受到耽擱這件事是本席不能夠接受的所以你們一定要有一個時間跟地方政府做最有效率的溝通要走也要走一個月啦啊如果不走我們雙軌不能停不能雙軌 |
transcript.whisperx[12].start |
238.584 |
transcript.whisperx[12].end |
249.453 |
transcript.whisperx[12].text |
立法院行政院通過了就為了等地方政府一拖再拖這個是鄉親不能夠接受的所以如果地方政府堅持不願意出這個錢 |
transcript.whisperx[13].start |
251.769 |
transcript.whisperx[13].end |
271.008 |
transcript.whisperx[13].text |
我們的雙軌化不能被耽擱影響是這樣有沒有問題市長?市長我剛剛跟蔡委員長報告的確這個我們過去的雙軌的確被台中的海線的高架還有大清烏日這個所耽擱一段時間那現在我們覺得沒辦法等所以直接這個核定這個雙軌 |
transcript.whisperx[14].start |
272.389 |
transcript.whisperx[14].end |
297.621 |
transcript.whisperx[14].text |
那現在原來他是用三手線現在會分大清屋次還有包括海線還有這個另外就是彩虹線切三個段一岸變三岸我們現在看起來就是說現在問題應該大清屋次跟海線這個應該都沒有問題但是的確台中市政府提到要中央簽了負擔因為這個包括高雄包括北部幾乎都按照現在遊戲規則在走 |
transcript.whisperx[15].start |
299.002 |
transcript.whisperx[15].end |
317.495 |
transcript.whisperx[15].text |
所以我們是期待就是說趕快確定啦確定以後就是可以剛才談到了不管跟藍線的界面跟這個雙軌的界面就可以趕快建立起來這樣部長現在目前啊如果中央全額負擔大概全台灣有多少縣市等著中央全額負擔的高價化這個這個很多 |
transcript.whisperx[16].start |
320.037 |
transcript.whisperx[16].end |
347.669 |
transcript.whisperx[16].text |
很多你有沒有算過這個預算大概幾兆或者幾千億現在那個各個地方非常多比如說有的是高價有的是這個地下比如說桃園他要負擔很多錢嘉義現在做也要後遣那個叫立體化對對那個都是立體化這個部分是大家都包括嘉義現在在施工那每個都回到說不要出錢對所以這個沒有政黨考量嗎對沒有就一致嘉義市嘉義縣還嘉義市 |
transcript.whisperx[17].start |
349.89 |
transcript.whisperx[17].end |
377.264 |
transcript.whisperx[17].text |
兩個都有所以不會因為嘉義縣是民進黨執政所以你就同意嘛不會嘛所以這個一定要對外說明清楚啊就是因為我們必須要這個預算必須要合理化啦地方政府對於每一個縣市政府他要立體化就是高價或地下他要進行專業可行甚至未來營運的效率的評估嘛對不對所以我們希望中央地方分別來負擔嘛 |
transcript.whisperx[18].start |
378.385 |
transcript.whisperx[18].end |
403.975 |
transcript.whisperx[18].text |
那這個也是馬總統時代通過的辦法嘛是是好所以呢我想這個要對外說明清楚所以本席還再一次強調海線的鐵路這個雙軌化不能因為地方政府不出錢在高價化問題上不出錢而導致雙軌化受到延誤這個我想我再一次強調好這個沒有問題啦好我們現在都分開個別就要再走對對就是我也贊成雙軌高價啦我不是反對我很贊成 |
transcript.whisperx[19].start |
404.855 |
transcript.whisperx[19].end |
424.28 |
transcript.whisperx[19].text |
但是不可以因為一個地方政府他持不出錢這個憤死抵抗所以我們的雙軌化就因為這樣被耽擱了這個不行好那第二個問題我想昨天我有提到這個光光的問題部長去年疫情前我們的高峰是1000萬對不對 |
transcript.whisperx[20].start |
426.283 |
transcript.whisperx[20].end |
442.943 |
transcript.whisperx[20].text |
這個英鎊接近一千兩百萬不好意思超過一千萬一千兩百萬嘛187對那去年是多少648那今年預估多少現在就一千萬以一千萬目標那一到四月覺得狀況好不好 |
transcript.whisperx[21].start |
448.393 |
transcript.whisperx[21].end |
471.742 |
transcript.whisperx[21].text |
對我們是第一季195195點將近200將近200比去年成長多少相對去年的話但是已經恢復到七成了去年多比去年成長嘛對比去年的第一季成長沒錯比例因為你目標要一千萬嘛所以你要按計答 |
transcript.whisperx[22].start |
472.102 |
transcript.whisperx[22].end |
472.122 |
transcript.whisperx[22].text |
答標。 |
transcript.whisperx[23].start |
489.255 |
transcript.whisperx[23].end |
510.6 |
transcript.whisperx[23].text |
那時候你已經沒有方法了但你按計檢討你就可以發現這個趨勢對不對我們還有可以用什麼方法因為今年到現在才4月嘛換言之還有好幾個月你可以想辦法我們是跟2019比好那奧邦的話我們今年成長多少大家都在講說欸哇現在旅遊型態改變了觀光型態改變大家都愛出國對對對 |
transcript.whisperx[24].start |
512.32 |
transcript.whisperx[24].end |
523.265 |
transcript.whisperx[24].text |
政治這個說大家甚至批評到說這個比較窮的人出國台灣比較貴所以有錢留在台灣沒錢的人出國2019年是1700萬2019是1700萬出國那去年呢數字對不對就是說出國奧邦的數字是不是很明顯的上升 |
transcript.whisperx[25].start |
541.38 |
transcript.whisperx[25].end |
561.64 |
transcript.whisperx[25].text |
還是這個只是大家感覺機場人很多所以大家就說相對去年是成長是成長的立即也很明顯的成長對不對好所以旅遊型態真的在改變那旅遊型態改變我今天就先姑且不論長期這幾年長期問題像缺工阿等等問題那 |
transcript.whisperx[26].start |
564.545 |
transcript.whisperx[26].end |
591.01 |
transcript.whisperx[26].text |
部長或署長有沒有想過今年阿怎麼樣用什麼方式讓旅客可以增加時間到了是嗎好來來這個問題我回答完就好提供說明資料因為我們現在是要五路齊發啦就是說我們確實也需要增加點然後增加推廣會增加露出戶外室內的還有社群我提供一個啦就是說我覺得還是要有你還是要有亮點啦我隨便舉一個例子齁 |
transcript.whisperx[27].start |
592.486 |
transcript.whisperx[27].end |
614.037 |
transcript.whisperx[27].text |
大巨蛋完工大巨蛋是一個為棒球或者表演的成立的建築物就是說他一開始出發絕對不是為了台灣的觀光但是因為這個建築物的完成你看我們的直棒的統計數據就可以發現很多人來大巨蛋看球除了球迷之外還有第二種人是他來觀光的 |
transcript.whisperx[28].start |
614.963 |
transcript.whisperx[28].end |
641.302 |
transcript.whisperx[28].text |
他把大巨蛋視為觀光景點他來體驗一下哎呦坐在一個室內棒球場看棒球是他這一輩子沒有過的體驗所以他把它當他的觀光概念大過於看球賽的輸贏那這個叫什麼這個就是我講的觀光要從這裡做起那個陸董事長也有來嘛那你看喔陸董事長你坐就好了因為時間已經到了你看喔台鐵 |
transcript.whisperx[29].start |
643.394 |
transcript.whisperx[29].end |
656.474 |
transcript.whisperx[29].text |
這個公司化之後台鐵開始跟民間合作比如說跟這個什麼雄獅旅遊去坐那個什麼這個列車啊明日號什麼的對明日號到今天為止都還一票難求嘛對不對啊對 |
transcript.whisperx[30].start |
657.987 |
transcript.whisperx[30].end |
684.35 |
transcript.whisperx[30].text |
那一票難求為什麼不複製啊就是說我的意思說交通部底下光不要講到行政院不要講政府光交通部底下我們就可以我們有很多的商機啊其實都在我們自己的部裡面的管轄範圍觀光不可以靠觀光署一個人啊他必須要統合啊啊統合怎麼去觀光的資源應該是我抓到了重點然後我把它放大 |
transcript.whisperx[31].start |
686.19 |
transcript.whisperx[31].end |
687.311 |
transcript.whisperx[31].text |
通過行銷放大。透過行銷把它放大。 |
transcript.whisperx[32].start |
699.019 |
transcript.whisperx[32].end |
699.079 |
transcript.whisperx[32].text |
答案。 |