iVOD / 149312

Field Value
IVOD_ID 149312
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/149312
日期 2024-03-05
會議資料.會議代碼 院會-11-1-3
會議資料.會議代碼:str 第11屆第1會期第3次會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 3
會議資料.種類 院會
會議資料.標題 立法院第11屆第1會期第3次會議
影片種類 Clip
開始時間 2024-03-05T09:50:52+08:00
結束時間 2024-03-05T10:06:35+08:00
影片長度 00:15:43
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/d6f3e02e0bf46d5e266432cbc178bf19886681d5001d2e43f8ba9b0039caa7a6b93634fd378212235ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林俊憲
委員發言時間 09:50:52 - 10:06:35
會議時間 2024-03-05T09:00:00+08:00
會議名稱 第11屆第1會期第3次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。 二、3月1日上午9時至10時為國是論壇時間。 三、3月5日下午1時50分至2時30分為處理臨時提案時間。)
gazette.lineno 141
gazette.blocks[0][0] 林委員俊憲:(9時50分)謝謝主席,本席邀請行政院陳院長。
gazette.blocks[1][0] 主席:請陳院長備詢。
gazette.blocks[2][0] 林委員俊憲:交通部王部長。
gazette.blocks[3][0] 主席:請交通部王部長備詢。
gazette.blocks[4][0] 林委員俊憲:內政部林部長。
gazette.blocks[5][0] 主席:請內政部林部長備詢。
gazette.blocks[6][0] 陳院長建仁:林委員早,恭喜委員當選連任。
gazette.blocks[7][0] 林委員俊憲:院長早,本周行政院就會開始在院會時著手檢討修訂交通檢舉人還有記點制度,是不是這樣?
gazette.blocks[8][0] 陳院長建仁:對,在禮拜四院會。
gazette.blocks[9][0] 林委員俊憲:國會開議第一個月就做交通法規規定的修改,幾乎就是列為優先法案,請問院長,為什麼要修改?院長是不是認為交通檢舉人制還有記點制已經造成很大的民怨?
gazette.blocks[10][0] 陳院長建仁:對,現在的交通記點制確實有一些需要修改的地方,我們也聽到很多民間的聲音,特別是職業駕駛人們所反映出來的。另外,在制度上,輕罪也就是比較輕的罰鍰,其實不需要記點。關於科技執法或者民眾檢舉,通常比較容易看到車號,應該是罰車而不罰人,因為不知道駕駛人是誰,所以這裡面有很多,不管是實施要點也好或者是相關法律也好,都有需要修正的地方,我們會努力來做。
gazette.blocks[11][0] 林委員俊憲:你剛剛講的,就是會產生所謂的記點黃牛,也就是人頭。
gazette.blocks[12][0] 陳院長建仁:對。
gazette.blocks[13][0] 林委員俊憲:找人頭出來讓你記點。
gazette.blocks[14][0] 陳院長建仁:是。
gazette.blocks[15][0] 林委員俊憲:但是交通亂象的問題還是要解決。
gazette.blocks[16][0] 陳院長建仁:是。
gazette.blocks[17][0] 林委員俊憲:基本上應該要採取平衡,政府要盡量做到平衡,既能保護行人也要保護用路人。
gazette.blocks[18][0] 陳院長建仁:對。
gazette.blocks[19][0] 林委員俊憲:政府和交通部經常強調3個E,第一個E就是 Education,讓行人和用路人駕駛都要瞭解交通規則,都要遵守規則;第二個E就是 Engineering,就是政府的工程,政府對於一些危險路口、標線號誌是不是有做好,是不是有改善,這是政府應該要做的。
gazette.blocks[20][0] 陳院長建仁:對。
gazette.blocks[21][0] 林委員俊憲:第三點才是Enforcement,才是執法,現在等於政府前兩點沒做好,直接跳到第三點進行執法,強力的執法當然就會造成民怨,院長,是不是這樣?
gazette.blocks[22][0] 陳院長建仁:是,所以我們為什麼要做全盤的檢討就是這樣。
gazette.blocks[23][0] 林委員俊憲:我剛聽你這麼講,對於檢舉人制還有交通記點制會進行大幅度的改變?
gazette.blocks[24][0] 陳院長建仁:我們會往這個方向來努力,在禮拜四院會會通過相關的辦法或者法律,然後再提到大院來。
gazette.blocks[25][0] 林委員俊憲:好,其中交通違規最主要的就是超速跟違停。
gazette.blocks[26][0] 陳院長建仁:對,不能夠危害行人。
gazette.blocks[27][0] 林委員俊憲:這兩個大概佔50%,其中違停部分,職業駕駛或交通用路人最常抱怨的,確實現實不得不考量到有必須臨時停車的狀況,所以交通部有注意到這點,去年王部長曾經跟各縣市以及一些會用路的單位,像是職業駕駛工會、計程車、貨運業公會開會,做出一個結論,希望地方政府在每100到150公尺要劃10公尺,也就是10%劃為黃線或是臨停的專用格位,當時的交通部認為3個月要盤點,如果去年11月開始,現在3個月的時間應該也到了,不知道現在這個狀況進行得如何?請問部長。
gazette.blocks[28][0] 王部長國材:我跟委員報告,以臺北市來講,它現在的確有在增加黃線臨停的區域,地方也是啦!我們現在大概在4月的行政院道安會報裡面,會把各縣市現在改善的部分來做一個報告。
gazette.blocks[29][0] 林委員俊憲:我幫你算好了,這其中當然各工會都有提出他的需求,像計程車還有貨運業,我們以六都來看,他們希望地方政府能夠增加給他們一些卸貨專用的那種專用格位,臺北市各工會建議179格,臺北市政府只准了兩格,只給他們1%啦;桃園是零啦!計程車和貨運業者希望能夠增加23個專用格位,桃園市政府是一格都不給,等於是零;新北市、臺中市、臺南市、高雄市,各位都有看到,反而臺南最多,20格給了17格。
gazette.blocks[29][1] 另外所謂的增加10%的黃線,據瞭解,很多縣市政府根本對於自己轄區內有多少黃線跟紅線的比例都還沒有掌握清楚,更不用說開放了,所以這個部分就是政府該做的事項你沒有做好,你這樣去執法的話,當然就會造成一些民怨,如果政府把號誌、標線、危險路口等該做的做好了,再強力要求你,這樣在數據上會比較合理,是不是這樣子?
gazette.blocks[30][0] 陳院長建仁:確實啦!交通工程的這個部分,我想是需要有我們相關的法律規範,然後來大力推廣,要不然的話,這樣比例太低的話,也是強人所難。
gazette.blocks[31][0] 林委員俊憲:我再舉個例子,第一個,我們剛提到教育,這裡有兩張照片,第一張是白色的車子,院長有看到吧!這台白色的車子,他停在一個小貨車專用的格位,這樣可以嗎?
gazette.blocks[32][0] 王部長國材:不行。
gazette.blocks[33][0] 陳院長建仁:不可以。
gazette.blocks[34][0] 林委員俊憲:如果私人車是不行,但這台車可以,這台車是一個非常大品牌的國產車,這台車也非常暢銷,但這台車在出廠的時候,跟交通部申請的是客貨兩用車,實際上很多人是用來當自家的轎車,可是原來出廠是申請客貨兩用車,就可以停在卸貨專用格位,這個就是我們的駕駛人教育太成功了,汽車所有人太聰明了,他鑽這個法律漏洞,這不對啦!
gazette.blocks[34][1] 再來,第二個是黃色的這個照片,它是一台計程車,停的這條路是臺北市忠孝東路,臺北市忠孝東路是貫穿東西、是最重要的一條商業區密集的道路,幾乎整條忠孝東路都是非常繁華的商業區,而消費者一定會來、客人會下車,既然是商業區,整條都是百貨公司、都是商店,就一定會有卸貨的需求,但忠孝東路整條都劃紅線,等於你該做的交通工程沒有做好,等於是逼民眾他不得不冒險去違規停車,這個就是所謂的engineering很重要,education也很重要,最後你才做enforcement、強力執法的一個要求問題。
gazette.blocks[34][2] 好,我們現在強力執法,那交通有沒有改善?我們來看一下,我們以臺中市作例子,臺中市現在是一個成長非常快速的都會,臺中市在去年的交通罰單上,開了268萬張,這個表我沒有做出來,沒有關係,這比前年、比2022年,臺中市去年多開了25萬張罰單,但是臺中市的交通事故卻增加了,而且增加得非常多,他們的死亡人數也增加了;受傷人數甚至從5萬9,000人增加到9萬6,000人,增加了快六成。也就是說,強力執法,多開了那麼多罰單,卻反而造成交通事故發生數大幅增加,沒有辦法改善交通,而且造成的死傷人數也增加,臺中都是全國第一。嚴刑峻法之下,實際並無法達到我們希望能達成的,也就是保護行人,保護用路人,保護駕駛,甚至於民眾檢舉交通違規件數也增加得非常可怕。剛剛行政院長陳院長說造成很大民怨,我請教幾位,所謂的交通檢舉人制度及記點制度,是不是民進黨執政才設立的?
gazette.blocks[35][0] 王部長國材:這個很久了……
gazette.blocks[36][0] 林委員俊憲:很久?
gazette.blocks[37][0] 王部長國材:民國八十幾年就有了……
gazette.blocks[38][0] 林委員俊憲:很久了?但民怨都在我們身上!其實交通檢舉人制度在1996年就有了,檢舉人制度已經存在27年了!記點制度則在1986年,民國75年就有了,到現在37年!也就是說檢舉人制度和記點制度都存在二、三十年,為什麼以前不會有民怨,現在卻造成很大民怨?部長,你覺得呢?王部長?
gazette.blocks[39][0] 王部長國材:第一個當然是檢舉項目增加,所以你剛才提到的違規違停是一個大宗。我跟委員稍微報告一下,臺中雖然表現差,但去年在各縣市整體……
gazette.blocks[40][0] 林委員俊憲:你先回答我這個問題。第一,過去檢舉人制度和記點制度,我用件數給大家看,其中還有一個因素,也就是現代科技的進步!
gazette.blocks[41][0] 陳院長建仁:對。
gazette.blocks[42][0] 林委員俊憲:幾乎每個人都有手機,每一台車都有行車紀錄器,甚至機車安全帽前面也可以照相,機車後面還有攝影。足見現在科技的工具讓每個人隨時都可以攝影,造成檢舉件數……以前是自然增加,但從民進黨105年執政以來,由原本的微幅自然增加,到了去年大幅增加,由前年的583萬件到去年變869萬件,一年之內增加了百分之四十幾,主要就是因為去年大幅度放寬檢舉項目。因為去年有國外媒體報導臺灣是行人地獄,交通部就嚇死了,造成輿論壓力很大,於是就開始放寬了。自放寬檢舉項目以來,從去年7月1日開始實施,去年下半年就比前年增加500萬件!去年7月1日一放寬檢舉項目,去年下半年就增加500萬件!這當中除了用路人……違規當然會被處罰,但相對的,政府要執行這樣的法律也耗費很大人力。內政部林部長在這裡,這麼大量的交通罰款件數,請問有沒有造成員警值勤的負擔?
gazette.blocks[43][0] 林部長右昌:是,當然讓我們基層員警負擔很大。
gazette.blocks[44][0] 林委員俊憲:根據報導,警方現在投入處理交通罰單的人力大概是以前的1.5倍,也就是說警力要大量投入在這裡面。其實當中的檢舉件數更多,但裡面有40%無效,大概60%有效,只是這些都要確認,然後還要再郵寄,所以各地警察局的預備金光拿來寄罰單都不夠用,會造成這樣的狀況。同時,職業駕駛因記點而被吊扣駕照,這點在選前是不是就先暫停?目前是不是暫停?
gazette.blocks[45][0] 王部長國材:對,因為違停是大宗,所以我們選前,應該說去年把在路口10公尺、公車10公尺部分先暫停……
gazette.blocks[46][0] 林委員俊憲:記點部分先暫停……
gazette.blocks[47][0] 王部長國材:所以有下降。
gazette.blocks[48][0] 林委員俊憲:記點部分,在所有的違規件數裡,就違停來說,大概只占23%,這是交通部自己算的。也就是說未來盤點違規記點的項目範圍與細部是什麼?部長?
gazette.blocks[49][0] 王部長國材:現在就是1,200元以下,事實上這個部分我們一般叫做微違規,微違規事實上在處罰條例也有法源,就是輕違規不罰,所以我們現在就是輕違規不記點,也不開放民眾檢舉,大概用這種方式來進行。
gazette.blocks[50][0] 林委員俊憲:但是你所謂的輕違規其實大部分還是違停,對不對?
gazette.blocks[51][0] 王部長國材:對,但是違規的罰款還是罰,只是不開放民眾檢舉……
gazette.blocks[52][0] 林委員俊憲:我認為政府要趕快追上來了,這是政府該做的事項,就是一些交通工程的改善,包括號誌、標線,以車道來說,很多地方政府畫了,最近甚至提出人行道的改善,內政部也提出了人行道的專責法案,但是到底什麼叫做人行道,你們兩個部會其實是有很大的不同,像標線人行道,很多政府現在都劃標線人行道,它不是實體人行道,標線人行道是交通部管的,內政部管的是實體人行道,但現在很多地方政府就劃這種標線人行道,甚至在標線人行道旁邊還劃了密密麻麻的機車格,機車停的位置就會占用到標線人行道,部長有沒有看到?
gazette.blocks[53][0] 王部長國材:是。
gazette.blocks[54][0] 林委員俊憲:這就是一個亂象啊!你看機車旁邊就是標線人行道啊,所以人行道的劃設跨部會應該要協調,好不好?
gazette.blocks[55][0] 王部長國材:好。
gazette.blocks[56][0] 林委員俊憲:這樣才能達到我們要的效果,謝謝三位。
gazette.blocks[57][0] 主席:謝謝林委員俊憲的質詢,謝謝陳院長的備詢。
gazette.blocks[57][1] 接下來請登記第35號邱委員若華質詢。
gazette.agenda.page_end 174
gazette.agenda.meet_id 院會-11-1-3
gazette.agenda.speakers[0] 韓國瑜
gazette.agenda.speakers[1] 林宜瑾
gazette.agenda.speakers[2] 黃仁
gazette.agenda.speakers[3] 林俊憲
gazette.agenda.speakers[4] 邱若華
gazette.agenda.speakers[5] 陳素月
gazette.agenda.speakers[6] 鄭天財Sra Kacaw
gazette.agenda.speakers[7] 高金素梅
gazette.agenda.speakers[8] 林月琴
gazette.agenda.speakers[9] 盧縣一
gazette.agenda.speakers[10] 李昆澤
gazette.agenda.speakers[11] 許宇甄
gazette.agenda.speakers[12] 何欣純
gazette.agenda.speakers[13] 羅智強
gazette.agenda.speakers[14] 張智倫
gazette.agenda.page_start 87
gazette.agenda.meetingDate[0] 2024-03-05
gazette.agenda.gazette_id 1130501
gazette.agenda.agenda_lcidc_ids[0] 1130501_00004
gazette.agenda.agenda_lcidc_ids[1] 1130501_00005
gazette.agenda.meet_name 立法院第11屆第1會期第3次會議紀錄
gazette.agenda.content 施政質詢 對行政院院長提出施政方針及施政報告繼續質詢─ 繼續質詢─
gazette.agenda.agenda_id 1130501_00004
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 0.48659375
transcript.pyannote[0].end 2.51159375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 2.66346875
transcript.pyannote[1].end 3.97971875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 3.70971875
transcript.pyannote[2].end 4.85721875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 4.85721875
transcript.pyannote[3].end 6.12284375
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 5.63346875
transcript.pyannote[4].end 7.05096875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 7.13534375
transcript.pyannote[5].end 8.68784375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 9.43034375
transcript.pyannote[6].end 10.25721875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 10.32471875
transcript.pyannote[7].end 11.23596875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 10.57784375
transcript.pyannote[8].end 11.32034375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 11.69159375
transcript.pyannote[9].end 11.97846875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 11.74221875
transcript.pyannote[10].end 11.75909375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 11.75909375
transcript.pyannote[11].end 12.40034375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 11.97846875
transcript.pyannote[12].end 12.14721875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 12.14721875
transcript.pyannote[13].end 12.19784375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 13.83471875
transcript.pyannote[14].end 13.88534375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 13.88534375
transcript.pyannote[15].end 14.40846875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 15.20159375
transcript.pyannote[16].end 15.91034375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 16.56846875
transcript.pyannote[17].end 19.31909375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 19.89284375
transcript.pyannote[18].end 26.62596875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 26.01846875
transcript.pyannote[19].end 26.40659375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 27.62159375
transcript.pyannote[20].end 29.61284375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 28.90409375
transcript.pyannote[21].end 32.02596875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 32.53221875
transcript.pyannote[22].end 33.76409375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 34.57409375
transcript.pyannote[23].end 37.00409375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 37.59471875
transcript.pyannote[24].end 38.40471875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 39.13034375
transcript.pyannote[25].end 40.17659375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 40.24409375
transcript.pyannote[26].end 41.10471875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 41.18909375
transcript.pyannote[27].end 42.11721875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 42.77534375
transcript.pyannote[28].end 46.38659375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 46.69034375
transcript.pyannote[29].end 67.80096875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 68.07096875
transcript.pyannote[30].end 93.02909375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 93.02909375
transcript.pyannote[31].end 97.68659375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 98.04096875
transcript.pyannote[32].end 98.36159375
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 98.09159375
transcript.pyannote[33].end 99.00284375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 99.10409375
transcript.pyannote[34].end 99.59346875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 99.47534375
transcript.pyannote[35].end 101.11221875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 101.11221875
transcript.pyannote[36].end 101.56784375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 101.90534375
transcript.pyannote[37].end 102.69846875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 103.15409375
transcript.pyannote[38].end 106.14096875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 106.17471875
transcript.pyannote[39].end 106.19159375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 106.19159375
transcript.pyannote[40].end 106.64721875
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 106.63034375
transcript.pyannote[41].end 107.44034375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 107.92971875
transcript.pyannote[42].end 113.21159375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 113.65034375
transcript.pyannote[43].end 115.10159375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 115.82721875
transcript.pyannote[44].end 116.83971875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 116.83971875
transcript.pyannote[45].end 116.92409375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 116.92409375
transcript.pyannote[46].end 117.00846875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 117.00846875
transcript.pyannote[47].end 117.10971875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 117.10971875
transcript.pyannote[48].end 117.12659375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 117.58221875
transcript.pyannote[49].end 120.24846875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 120.85596875
transcript.pyannote[50].end 122.25659375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 122.91471875
transcript.pyannote[51].end 124.19721875
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 124.41659375
transcript.pyannote[52].end 124.75409375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 124.92284375
transcript.pyannote[53].end 126.05346875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 126.27284375
transcript.pyannote[54].end 127.62284375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 128.07846875
transcript.pyannote[55].end 128.26409375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 128.58471875
transcript.pyannote[56].end 129.83346875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 130.74471875
transcript.pyannote[57].end 131.52096875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 131.75721875
transcript.pyannote[58].end 134.86221875
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 135.60471875
transcript.pyannote[59].end 138.74346875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 139.01346875
transcript.pyannote[60].end 139.92471875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 140.38034375
transcript.pyannote[61].end 141.29159375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 141.84846875
transcript.pyannote[62].end 143.40096875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 144.17721875
transcript.pyannote[63].end 147.75471875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 148.69971875
transcript.pyannote[64].end 149.89784375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 150.42096875
transcript.pyannote[65].end 153.25596875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 153.66096875
transcript.pyannote[66].end 154.67346875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 155.68596875
transcript.pyannote[67].end 156.58034375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 156.58034375
transcript.pyannote[68].end 156.63096875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 156.81659375
transcript.pyannote[69].end 156.83346875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 156.83346875
transcript.pyannote[70].end 157.96409375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 157.96409375
transcript.pyannote[71].end 158.48721875
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 159.01034375
transcript.pyannote[72].end 159.02721875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 159.02721875
transcript.pyannote[73].end 160.42784375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 160.76534375
transcript.pyannote[74].end 165.38909375
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 165.43971875
transcript.pyannote[75].end 171.10971875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 171.10971875
transcript.pyannote[76].end 171.14346875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 171.14346875
transcript.pyannote[77].end 171.19409375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 171.19409375
transcript.pyannote[78].end 181.53846875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 181.53846875
transcript.pyannote[79].end 185.40284375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 185.85846875
transcript.pyannote[80].end 186.21284375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 186.43221875
transcript.pyannote[81].end 188.10284375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 187.52909375
transcript.pyannote[82].end 189.11534375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 189.11534375
transcript.pyannote[83].end 189.55409375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 189.80721875
transcript.pyannote[84].end 191.54534375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 192.20346875
transcript.pyannote[85].end 193.58721875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 193.75596875
transcript.pyannote[86].end 195.86534375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 196.97909375
transcript.pyannote[87].end 198.22784375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 198.68346875
transcript.pyannote[88].end 199.30784375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 200.01659375
transcript.pyannote[89].end 201.38346875
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 201.73784375
transcript.pyannote[90].end 204.10034375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 204.62346875
transcript.pyannote[91].end 206.39534375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 207.03659375
transcript.pyannote[92].end 211.10346875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 211.72784375
transcript.pyannote[93].end 213.36471875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 213.51659375
transcript.pyannote[94].end 216.11534375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 216.68909375
transcript.pyannote[95].end 219.22034375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 219.69284375
transcript.pyannote[96].end 221.44784375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 222.27471875
transcript.pyannote[97].end 223.30409375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 223.79346875
transcript.pyannote[98].end 225.64971875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 226.30784375
transcript.pyannote[99].end 235.23471875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 236.98971875
transcript.pyannote[100].end 237.46221875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 237.76596875
transcript.pyannote[101].end 239.23409375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 239.85846875
transcript.pyannote[102].end 241.32659375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 241.73159375
transcript.pyannote[103].end 244.41471875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 244.70159375
transcript.pyannote[104].end 246.27096875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 246.74346875
transcript.pyannote[105].end 265.96409375
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 247.18221875
transcript.pyannote[106].end 248.07659375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 255.78846875
transcript.pyannote[107].end 256.44659375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 256.44659375
transcript.pyannote[108].end 256.48034375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 265.27221875
transcript.pyannote[109].end 266.95971875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 267.87096875
transcript.pyannote[110].end 268.73159375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 269.49096875
transcript.pyannote[111].end 270.77346875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 271.39784375
transcript.pyannote[112].end 273.01784375
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 273.52409375
transcript.pyannote[113].end 275.07659375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 275.51534375
transcript.pyannote[114].end 277.21971875
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 277.92846875
transcript.pyannote[115].end 279.00846875
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 280.02096875
transcript.pyannote[116].end 283.37909375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 283.59846875
transcript.pyannote[117].end 285.42096875
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 286.34909375
transcript.pyannote[118].end 286.88909375
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 287.22659375
transcript.pyannote[119].end 288.42471875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 288.72846875
transcript.pyannote[120].end 288.94784375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 289.40346875
transcript.pyannote[121].end 290.01096875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 290.43284375
transcript.pyannote[122].end 292.64346875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 293.47034375
transcript.pyannote[123].end 295.44471875
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 296.74409375
transcript.pyannote[124].end 297.94221875
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 299.29221875
transcript.pyannote[125].end 300.67596875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 302.05971875
transcript.pyannote[126].end 305.48534375
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 305.75534375
transcript.pyannote[127].end 307.29096875
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 307.49346875
transcript.pyannote[128].end 307.96596875
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 308.84346875
transcript.pyannote[129].end 309.63659375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 311.00346875
transcript.pyannote[130].end 314.39534375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 315.50909375
transcript.pyannote[131].end 316.82534375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 318.44534375
transcript.pyannote[132].end 319.22159375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 319.54221875
transcript.pyannote[133].end 321.88784375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 323.13659375
transcript.pyannote[134].end 324.72284375
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 324.90846875
transcript.pyannote[135].end 328.89096875
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 329.68409375
transcript.pyannote[136].end 330.03846875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 330.24096875
transcript.pyannote[137].end 332.33346875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 333.07596875
transcript.pyannote[138].end 334.72971875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 335.43846875
transcript.pyannote[139].end 338.57721875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 338.91471875
transcript.pyannote[140].end 339.70784375
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 340.53471875
transcript.pyannote[141].end 341.90159375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 342.42471875
transcript.pyannote[142].end 343.80846875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 344.23034375
transcript.pyannote[143].end 344.95596875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 346.27221875
transcript.pyannote[144].end 347.23409375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 347.40284375
transcript.pyannote[145].end 348.56721875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 349.37721875
transcript.pyannote[146].end 352.75221875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 353.96721875
transcript.pyannote[147].end 356.97096875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 354.43971875
transcript.pyannote[148].end 354.81096875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 357.37596875
transcript.pyannote[149].end 357.59534375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 357.69659375
transcript.pyannote[150].end 357.71346875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 357.71346875
transcript.pyannote[151].end 368.69909375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 368.81721875
transcript.pyannote[152].end 369.91409375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 370.23471875
transcript.pyannote[153].end 371.70284375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 372.07409375
transcript.pyannote[154].end 372.41159375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 374.40284375
transcript.pyannote[155].end 377.69346875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 378.19971875
transcript.pyannote[156].end 379.04346875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 379.58346875
transcript.pyannote[157].end 380.86596875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 381.67596875
transcript.pyannote[158].end 384.42659375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 384.76409375
transcript.pyannote[159].end 385.81034375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 386.56971875
transcript.pyannote[160].end 387.34596875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 388.27409375
transcript.pyannote[161].end 388.96596875
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 388.81409375
transcript.pyannote[162].end 390.23159375
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 390.83909375
transcript.pyannote[163].end 391.85159375
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 392.66159375
transcript.pyannote[164].end 393.72471875
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 393.99471875
transcript.pyannote[165].end 395.32784375
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 395.74971875
transcript.pyannote[166].end 397.72409375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 398.34846875
transcript.pyannote[167].end 399.44534375
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 399.69846875
transcript.pyannote[168].end 401.21721875
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 401.62221875
transcript.pyannote[169].end 402.82034375
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 403.25909375
transcript.pyannote[170].end 404.54159375
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 405.79034375
transcript.pyannote[171].end 407.93346875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 409.03034375
transcript.pyannote[172].end 410.19471875
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 411.15659375
transcript.pyannote[173].end 413.40096875
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 413.80596875
transcript.pyannote[174].end 414.85221875
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 415.56096875
transcript.pyannote[175].end 416.80971875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 417.45096875
transcript.pyannote[176].end 418.46346875
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 418.73346875
transcript.pyannote[177].end 422.86784375
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 423.18846875
transcript.pyannote[178].end 424.36971875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 424.96034375
transcript.pyannote[179].end 425.63534375
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 427.13721875
transcript.pyannote[180].end 427.64346875
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 428.31846875
transcript.pyannote[181].end 430.95096875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 431.47409375
transcript.pyannote[182].end 432.53721875
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 432.90846875
transcript.pyannote[183].end 434.15721875
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 434.89971875
transcript.pyannote[184].end 437.22846875
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 437.54909375
transcript.pyannote[185].end 437.85284375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 438.46034375
transcript.pyannote[186].end 439.74284375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 440.26596875
transcript.pyannote[187].end 441.39659375
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 442.10534375
transcript.pyannote[188].end 443.30346875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 443.65784375
transcript.pyannote[189].end 445.26096875
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 445.85159375
transcript.pyannote[190].end 446.35784375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 446.77971875
transcript.pyannote[191].end 447.96096875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 448.23096875
transcript.pyannote[192].end 450.17159375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 451.23471875
transcript.pyannote[193].end 453.58034375
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 454.35659375
transcript.pyannote[194].end 458.40659375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 458.64284375
transcript.pyannote[195].end 459.55409375
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 460.27971875
transcript.pyannote[196].end 461.42721875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 462.25409375
transcript.pyannote[197].end 463.09784375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 464.63346875
transcript.pyannote[198].end 465.52784375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 465.89909375
transcript.pyannote[199].end 467.38409375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 468.16034375
transcript.pyannote[200].end 469.61159375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 469.96596875
transcript.pyannote[201].end 471.28221875
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 471.36659375
transcript.pyannote[202].end 473.74596875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 474.60659375
transcript.pyannote[203].end 475.56846875
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 476.02409375
transcript.pyannote[204].end 477.35721875
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 477.59346875
transcript.pyannote[205].end 478.89284375
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 479.16284375
transcript.pyannote[206].end 482.53784375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 482.70659375
transcript.pyannote[207].end 484.17471875
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 485.23784375
transcript.pyannote[208].end 487.43159375
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 487.51596875
transcript.pyannote[209].end 489.01784375
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 491.65034375
transcript.pyannote[210].end 492.49409375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 493.18596875
transcript.pyannote[211].end 494.04659375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 495.51471875
transcript.pyannote[212].end 497.42159375
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 497.82659375
transcript.pyannote[213].end 498.88971875
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 499.81784375
transcript.pyannote[214].end 502.26471875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 503.15909375
transcript.pyannote[215].end 504.62721875
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 505.48784375
transcript.pyannote[216].end 506.44971875
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 507.05721875
transcript.pyannote[217].end 508.69409375
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 509.97659375
transcript.pyannote[218].end 512.54159375
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 514.12784375
transcript.pyannote[219].end 514.63409375
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 514.80284375
transcript.pyannote[220].end 516.37221875
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 516.42284375
transcript.pyannote[221].end 519.10596875
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 520.79346875
transcript.pyannote[222].end 523.49346875
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 524.52284375
transcript.pyannote[223].end 524.91096875
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 525.28221875
transcript.pyannote[224].end 525.92346875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 527.03721875
transcript.pyannote[225].end 528.18471875
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 529.04534375
transcript.pyannote[226].end 530.90159375
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 531.72846875
transcript.pyannote[227].end 532.79159375
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 533.17971875
transcript.pyannote[228].end 536.04846875
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 536.31846875
transcript.pyannote[229].end 537.26346875
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 539.65971875
transcript.pyannote[230].end 540.48659375
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 541.58346875
transcript.pyannote[231].end 542.51159375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 542.98409375
transcript.pyannote[232].end 544.35096875
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 545.63346875
transcript.pyannote[233].end 546.35909375
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 546.84846875
transcript.pyannote[234].end 547.72596875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 547.87784375
transcript.pyannote[235].end 549.53159375
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 550.05471875
transcript.pyannote[236].end 551.05034375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 551.65784375
transcript.pyannote[237].end 552.90659375
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 553.41284375
transcript.pyannote[238].end 557.37846875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 559.09971875
transcript.pyannote[239].end 561.63096875
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 562.32284375
transcript.pyannote[240].end 562.99784375
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 563.58846875
transcript.pyannote[241].end 565.14096875
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 565.36034375
transcript.pyannote[242].end 567.72284375
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 568.06034375
transcript.pyannote[243].end 571.13159375
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 571.43534375
transcript.pyannote[244].end 571.62096875
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 572.17784375
transcript.pyannote[245].end 573.00471875
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 573.54471875
transcript.pyannote[246].end 574.13534375
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 575.26596875
transcript.pyannote[247].end 578.33721875
transcript.pyannote[248].speaker SPEAKER_03
transcript.pyannote[248].start 579.16409375
transcript.pyannote[248].end 580.26096875
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 581.88096875
transcript.pyannote[249].end 584.53034375
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 585.00284375
transcript.pyannote[250].end 586.58909375
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 587.39909375
transcript.pyannote[251].end 587.78721875
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 588.37784375
transcript.pyannote[252].end 590.99346875
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 592.15784375
transcript.pyannote[253].end 593.47409375
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 594.13221875
transcript.pyannote[254].end 594.18284375
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 594.40221875
transcript.pyannote[255].end 595.48221875
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 595.48221875
transcript.pyannote[256].end 595.78596875
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 595.49909375
transcript.pyannote[257].end 597.25409375
transcript.pyannote[258].speaker SPEAKER_03
transcript.pyannote[258].start 597.25409375
transcript.pyannote[258].end 597.30471875
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 597.30471875
transcript.pyannote[259].end 597.47346875
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 597.33846875
transcript.pyannote[260].end 598.87409375
transcript.pyannote[261].speaker SPEAKER_03
transcript.pyannote[261].start 599.85284375
transcript.pyannote[261].end 601.13534375
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 601.38846875
transcript.pyannote[262].end 602.73846875
transcript.pyannote[263].speaker SPEAKER_03
transcript.pyannote[263].start 604.00409375
transcript.pyannote[263].end 605.91096875
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 607.37909375
transcript.pyannote[264].end 608.45909375
transcript.pyannote[265].speaker SPEAKER_03
transcript.pyannote[265].start 609.67409375
transcript.pyannote[265].end 611.78346875
transcript.pyannote[266].speaker SPEAKER_03
transcript.pyannote[266].start 612.34034375
transcript.pyannote[266].end 613.62284375
transcript.pyannote[267].speaker SPEAKER_03
transcript.pyannote[267].start 614.53409375
transcript.pyannote[267].end 618.16221875
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 619.46159375
transcript.pyannote[268].end 622.12784375
transcript.pyannote[269].speaker SPEAKER_03
transcript.pyannote[269].start 623.62971875
transcript.pyannote[269].end 625.04721875
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 625.31721875
transcript.pyannote[270].end 627.91596875
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 628.30409375
transcript.pyannote[271].end 631.07159375
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 631.30784375
transcript.pyannote[272].end 636.55596875
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 637.09596875
transcript.pyannote[273].end 643.01909375
transcript.pyannote[274].speaker SPEAKER_03
transcript.pyannote[274].start 641.95596875
transcript.pyannote[274].end 642.42846875
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 643.40721875
transcript.pyannote[275].end 644.95971875
transcript.pyannote[276].speaker SPEAKER_03
transcript.pyannote[276].start 643.64346875
transcript.pyannote[276].end 645.65159375
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 645.65159375
transcript.pyannote[277].end 645.92159375
transcript.pyannote[278].speaker SPEAKER_03
transcript.pyannote[278].start 646.29284375
transcript.pyannote[278].end 646.91721875
transcript.pyannote[279].speaker SPEAKER_03
transcript.pyannote[279].start 647.37284375
transcript.pyannote[279].end 649.16159375
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 650.20784375
transcript.pyannote[280].end 652.62096875
transcript.pyannote[281].speaker SPEAKER_03
transcript.pyannote[281].start 653.49846875
transcript.pyannote[281].end 655.05096875
transcript.pyannote[282].speaker SPEAKER_03
transcript.pyannote[282].start 655.21971875
transcript.pyannote[282].end 656.94096875
transcript.pyannote[283].speaker SPEAKER_03
transcript.pyannote[283].start 657.64971875
transcript.pyannote[283].end 659.70846875
transcript.pyannote[284].speaker SPEAKER_03
transcript.pyannote[284].start 660.07971875
transcript.pyannote[284].end 662.02034375
transcript.pyannote[285].speaker SPEAKER_03
transcript.pyannote[285].start 662.56034375
transcript.pyannote[285].end 664.02846875
transcript.pyannote[286].speaker SPEAKER_03
transcript.pyannote[286].start 664.23096875
transcript.pyannote[286].end 666.79596875
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 664.58534375
transcript.pyannote[287].end 664.92284375
transcript.pyannote[288].speaker SPEAKER_03
transcript.pyannote[288].start 667.30221875
transcript.pyannote[288].end 669.41159375
transcript.pyannote[289].speaker SPEAKER_03
transcript.pyannote[289].start 669.95159375
transcript.pyannote[289].end 672.51659375
transcript.pyannote[290].speaker SPEAKER_03
transcript.pyannote[290].start 673.12409375
transcript.pyannote[290].end 673.64721875
transcript.pyannote[291].speaker SPEAKER_03
transcript.pyannote[291].start 674.18721875
transcript.pyannote[291].end 677.49471875
transcript.pyannote[292].speaker SPEAKER_03
transcript.pyannote[292].start 679.09784375
transcript.pyannote[292].end 680.92034375
transcript.pyannote[293].speaker SPEAKER_03
transcript.pyannote[293].start 681.12284375
transcript.pyannote[293].end 683.45159375
transcript.pyannote[294].speaker SPEAKER_03
transcript.pyannote[294].start 683.89034375
transcript.pyannote[294].end 685.44284375
transcript.pyannote[295].speaker SPEAKER_03
transcript.pyannote[295].start 686.45534375
transcript.pyannote[295].end 687.88971875
transcript.pyannote[296].speaker SPEAKER_03
transcript.pyannote[296].start 688.58159375
transcript.pyannote[296].end 689.67846875
transcript.pyannote[297].speaker SPEAKER_03
transcript.pyannote[297].start 690.16784375
transcript.pyannote[297].end 693.45846875
transcript.pyannote[298].speaker SPEAKER_03
transcript.pyannote[298].start 695.21346875
transcript.pyannote[298].end 697.33971875
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 697.96409375
transcript.pyannote[299].end 699.97221875
transcript.pyannote[300].speaker SPEAKER_03
transcript.pyannote[300].start 701.30534375
transcript.pyannote[300].end 702.46971875
transcript.pyannote[301].speaker SPEAKER_03
transcript.pyannote[301].start 703.14471875
transcript.pyannote[301].end 704.02221875
transcript.pyannote[302].speaker SPEAKER_03
transcript.pyannote[302].start 705.01784375
transcript.pyannote[302].end 706.99221875
transcript.pyannote[303].speaker SPEAKER_03
transcript.pyannote[303].start 707.43096875
transcript.pyannote[303].end 708.61221875
transcript.pyannote[304].speaker SPEAKER_03
transcript.pyannote[304].start 709.84409375
transcript.pyannote[304].end 710.83971875
transcript.pyannote[305].speaker SPEAKER_03
transcript.pyannote[305].start 711.26159375
transcript.pyannote[305].end 712.40909375
transcript.pyannote[306].speaker SPEAKER_03
transcript.pyannote[306].start 712.88159375
transcript.pyannote[306].end 713.84346875
transcript.pyannote[307].speaker SPEAKER_03
transcript.pyannote[307].start 714.29909375
transcript.pyannote[307].end 714.90659375
transcript.pyannote[308].speaker SPEAKER_03
transcript.pyannote[308].start 716.20596875
transcript.pyannote[308].end 717.53909375
transcript.pyannote[309].speaker SPEAKER_03
transcript.pyannote[309].start 718.23096875
transcript.pyannote[309].end 720.34034375
transcript.pyannote[310].speaker SPEAKER_03
transcript.pyannote[310].start 721.35284375
transcript.pyannote[310].end 722.43284375
transcript.pyannote[311].speaker SPEAKER_03
transcript.pyannote[311].start 723.47909375
transcript.pyannote[311].end 725.04846875
transcript.pyannote[312].speaker SPEAKER_03
transcript.pyannote[312].start 726.43221875
transcript.pyannote[312].end 728.15346875
transcript.pyannote[313].speaker SPEAKER_03
transcript.pyannote[313].start 728.37284375
transcript.pyannote[313].end 729.19971875
transcript.pyannote[314].speaker SPEAKER_03
transcript.pyannote[314].start 730.00971875
transcript.pyannote[314].end 731.34284375
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 731.83221875
transcript.pyannote[315].end 732.40596875
transcript.pyannote[316].speaker SPEAKER_03
transcript.pyannote[316].start 732.92909375
transcript.pyannote[316].end 733.92471875
transcript.pyannote[317].speaker SPEAKER_03
transcript.pyannote[317].start 735.49409375
transcript.pyannote[317].end 736.25346875
transcript.pyannote[318].speaker SPEAKER_03
transcript.pyannote[318].start 736.97909375
transcript.pyannote[318].end 738.07596875
transcript.pyannote[319].speaker SPEAKER_03
transcript.pyannote[319].start 738.58221875
transcript.pyannote[319].end 741.09659375
transcript.pyannote[320].speaker SPEAKER_03
transcript.pyannote[320].start 741.46784375
transcript.pyannote[320].end 742.27784375
transcript.pyannote[321].speaker SPEAKER_03
transcript.pyannote[321].start 742.75034375
transcript.pyannote[321].end 744.97784375
transcript.pyannote[322].speaker SPEAKER_03
transcript.pyannote[322].start 745.53471875
transcript.pyannote[322].end 746.29409375
transcript.pyannote[323].speaker SPEAKER_03
transcript.pyannote[323].start 746.36159375
transcript.pyannote[323].end 747.52596875
transcript.pyannote[324].speaker SPEAKER_03
transcript.pyannote[324].start 748.09971875
transcript.pyannote[324].end 748.72409375
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 749.44971875
transcript.pyannote[325].end 750.37784375
transcript.pyannote[326].speaker SPEAKER_03
transcript.pyannote[326].start 751.71096875
transcript.pyannote[326].end 753.71909375
transcript.pyannote[327].speaker SPEAKER_03
transcript.pyannote[327].start 754.46159375
transcript.pyannote[327].end 754.81596875
transcript.pyannote[328].speaker SPEAKER_03
transcript.pyannote[328].start 755.28846875
transcript.pyannote[328].end 758.17409375
transcript.pyannote[329].speaker SPEAKER_01
transcript.pyannote[329].start 758.44409375
transcript.pyannote[329].end 761.88659375
transcript.pyannote[330].speaker SPEAKER_03
transcript.pyannote[330].start 763.52346875
transcript.pyannote[330].end 769.68284375
transcript.pyannote[331].speaker SPEAKER_03
transcript.pyannote[331].start 770.49284375
transcript.pyannote[331].end 773.64846875
transcript.pyannote[332].speaker SPEAKER_03
transcript.pyannote[332].start 774.94784375
transcript.pyannote[332].end 780.71909375
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 781.36034375
transcript.pyannote[333].end 784.19534375
transcript.pyannote[334].speaker SPEAKER_03
transcript.pyannote[334].start 784.60034375
transcript.pyannote[334].end 784.87034375
transcript.pyannote[335].speaker SPEAKER_03
transcript.pyannote[335].start 785.25846875
transcript.pyannote[335].end 786.47346875
transcript.pyannote[336].speaker SPEAKER_03
transcript.pyannote[336].start 787.23284375
transcript.pyannote[336].end 788.43096875
transcript.pyannote[337].speaker SPEAKER_03
transcript.pyannote[337].start 788.86971875
transcript.pyannote[337].end 789.17346875
transcript.pyannote[338].speaker SPEAKER_03
transcript.pyannote[338].start 789.52784375
transcript.pyannote[338].end 791.80596875
transcript.pyannote[339].speaker SPEAKER_03
transcript.pyannote[339].start 792.90284375
transcript.pyannote[339].end 794.26971875
transcript.pyannote[340].speaker SPEAKER_03
transcript.pyannote[340].start 795.02909375
transcript.pyannote[340].end 797.44221875
transcript.pyannote[341].speaker SPEAKER_03
transcript.pyannote[341].start 797.79659375
transcript.pyannote[341].end 799.65284375
transcript.pyannote[342].speaker SPEAKER_03
transcript.pyannote[342].start 799.70346875
transcript.pyannote[342].end 802.82534375
transcript.pyannote[343].speaker SPEAKER_01
transcript.pyannote[343].start 803.90534375
transcript.pyannote[343].end 810.87471875
transcript.pyannote[344].speaker SPEAKER_01
transcript.pyannote[344].start 811.27971875
transcript.pyannote[344].end 814.78971875
transcript.pyannote[345].speaker SPEAKER_01
transcript.pyannote[345].start 814.97534375
transcript.pyannote[345].end 821.05034375
transcript.pyannote[346].speaker SPEAKER_03
transcript.pyannote[346].start 817.65846875
transcript.pyannote[346].end 819.31221875
transcript.pyannote[347].speaker SPEAKER_03
transcript.pyannote[347].start 821.13471875
transcript.pyannote[347].end 825.35346875
transcript.pyannote[348].speaker SPEAKER_03
transcript.pyannote[348].start 825.70784375
transcript.pyannote[348].end 828.37409375
transcript.pyannote[349].speaker SPEAKER_03
transcript.pyannote[349].start 829.50471875
transcript.pyannote[349].end 829.77471875
transcript.pyannote[350].speaker SPEAKER_03
transcript.pyannote[350].start 830.28096875
transcript.pyannote[350].end 832.55909375
transcript.pyannote[351].speaker SPEAKER_03
transcript.pyannote[351].start 833.31846875
transcript.pyannote[351].end 834.66846875
transcript.pyannote[352].speaker SPEAKER_03
transcript.pyannote[352].start 835.86659375
transcript.pyannote[352].end 838.29659375
transcript.pyannote[353].speaker SPEAKER_03
transcript.pyannote[353].start 839.22471875
transcript.pyannote[353].end 839.56221875
transcript.pyannote[354].speaker SPEAKER_01
transcript.pyannote[354].start 839.96721875
transcript.pyannote[354].end 851.74596875
transcript.pyannote[355].speaker SPEAKER_01
transcript.pyannote[355].start 851.99909375
transcript.pyannote[355].end 853.97346875
transcript.pyannote[356].speaker SPEAKER_01
transcript.pyannote[356].start 854.19284375
transcript.pyannote[356].end 855.94784375
transcript.pyannote[357].speaker SPEAKER_01
transcript.pyannote[357].start 856.42034375
transcript.pyannote[357].end 859.57596875
transcript.pyannote[358].speaker SPEAKER_03
transcript.pyannote[358].start 861.21284375
transcript.pyannote[358].end 863.32221875
transcript.pyannote[359].speaker SPEAKER_01
transcript.pyannote[359].start 864.18284375
transcript.pyannote[359].end 869.88659375
transcript.pyannote[360].speaker SPEAKER_03
transcript.pyannote[360].start 864.65534375
transcript.pyannote[360].end 864.99284375
transcript.pyannote[361].speaker SPEAKER_03
transcript.pyannote[361].start 868.57034375
transcript.pyannote[361].end 875.10096875
transcript.pyannote[362].speaker SPEAKER_03
transcript.pyannote[362].start 875.21909375
transcript.pyannote[362].end 887.52096875
transcript.pyannote[363].speaker SPEAKER_01
transcript.pyannote[363].start 875.53971875
transcript.pyannote[363].end 875.55659375
transcript.pyannote[364].speaker SPEAKER_00
transcript.pyannote[364].start 875.55659375
transcript.pyannote[364].end 875.59034375
transcript.pyannote[365].speaker SPEAKER_03
transcript.pyannote[365].start 887.97659375
transcript.pyannote[365].end 893.12346875
transcript.pyannote[366].speaker SPEAKER_03
transcript.pyannote[366].start 893.17409375
transcript.pyannote[366].end 893.44409375
transcript.pyannote[367].speaker SPEAKER_03
transcript.pyannote[367].start 894.27096875
transcript.pyannote[367].end 900.71721875
transcript.pyannote[368].speaker SPEAKER_03
transcript.pyannote[368].start 901.12221875
transcript.pyannote[368].end 902.05034375
transcript.pyannote[369].speaker SPEAKER_03
transcript.pyannote[369].start 902.26971875
transcript.pyannote[369].end 904.10909375
transcript.pyannote[370].speaker SPEAKER_03
transcript.pyannote[370].start 904.32846875
transcript.pyannote[370].end 906.52221875
transcript.pyannote[371].speaker SPEAKER_03
transcript.pyannote[371].start 907.38284375
transcript.pyannote[371].end 908.09159375
transcript.pyannote[372].speaker SPEAKER_03
transcript.pyannote[372].start 908.29409375
transcript.pyannote[372].end 910.85909375
transcript.pyannote[373].speaker SPEAKER_03
transcript.pyannote[373].start 911.38221875
transcript.pyannote[373].end 912.63096875
transcript.pyannote[374].speaker SPEAKER_03
transcript.pyannote[374].start 912.74909375
transcript.pyannote[374].end 915.44909375
transcript.pyannote[375].speaker SPEAKER_02
transcript.pyannote[375].start 915.73596875
transcript.pyannote[375].end 915.75284375
transcript.pyannote[376].speaker SPEAKER_03
transcript.pyannote[376].start 915.75284375
transcript.pyannote[376].end 915.76971875
transcript.pyannote[377].speaker SPEAKER_02
transcript.pyannote[377].start 915.76971875
transcript.pyannote[377].end 915.97221875
transcript.pyannote[378].speaker SPEAKER_03
transcript.pyannote[378].start 915.97221875
transcript.pyannote[378].end 916.02284375
transcript.pyannote[379].speaker SPEAKER_03
transcript.pyannote[379].start 916.39409375
transcript.pyannote[379].end 917.42346875
transcript.pyannote[380].speaker SPEAKER_00
transcript.pyannote[380].start 930.60284375
transcript.pyannote[380].end 934.58534375
transcript.pyannote[381].speaker SPEAKER_00
transcript.pyannote[381].start 936.34034375
transcript.pyannote[381].end 938.16284375
transcript.pyannote[382].speaker SPEAKER_00
transcript.pyannote[382].start 938.46659375
transcript.pyannote[382].end 940.01909375
transcript.pyannote[383].speaker SPEAKER_00
transcript.pyannote[383].start 940.76159375
transcript.pyannote[383].end 942.97221875
transcript.whisperx[0].start 0.489
transcript.whisperx[0].end 26.54
transcript.whisperx[0].text 本席邀請我們行政院陳院長換請陳院長交通部王部長交通部王部長內政部林部長請內政部林部長備詢立委員長恭喜立委員長本週啊大概行政院就會開始在院會的時候著手檢討修訂交通檢舉人還有祭典制度是不是這樣子
transcript.whisperx[1].start 29.563
transcript.whisperx[1].end 38.001
transcript.whisperx[1].text 國會開議的第一個月就做交通法規的規定的修改幾乎就是列為我們的優先法案請問院長
transcript.whisperx[2].start 39.275
transcript.whisperx[2].end 40.536
transcript.whisperx[2].text 為什麼要修改?
transcript.whisperx[3].start 40.536
transcript.whisperx[3].end 59.506
transcript.whisperx[3].text 院長是不是認為交通檢舉人字還有記點字已經造成了很大的民怨?對,現在的交通記點字確實有一些需要修改的地方,我們也聽到很多民間的聲音,特別是職業駕駛人他們所反映出來的。
transcript.whisperx[4].start 60.626
transcript.whisperx[4].end 86.846
transcript.whisperx[4].text 另外也是在一個制度上我們輕罪就是說比較輕的這個滑反其實也不需要有祭典另外就是科技執法或者是民眾檢舉的這個部分我們通常都比較容易看到車號可是應該是罰車而不罰人因為不曉得駕駛人是誰所以在這裡面有很多不管是實施的要點也好
transcript.whisperx[5].start 93.511
transcript.whisperx[5].end 116.289
transcript.whisperx[5].text 您剛講的就是會產生所謂的祭典黃牛,就人頭,找人頭出來讓你祭典。但是我們交通亂象的問題還是要解決,基本上應該是要採取一個平衡,政府要盡量做到一個平衡,既然保護行人也要保護用路人。
transcript.whisperx[6].start 117.622
transcript.whisperx[6].end 143.221
transcript.whisperx[6].text 那交通部經常強調政府強調就三個一啦第一個一就是education我們讓行人和用路人駕駛啊都要了解交通規則都要遵守規則那第二個就是engineering就是政府的工程那政府對於一些危險路口啦標線號誌啊是不是有做好了是不是有改善這政府應該要做的
transcript.whisperx[7].start 144.212
transcript.whisperx[7].end 153.731
transcript.whisperx[7].text 第三點才是enforcementment才是執法那現在等於政府直接前兩點沒有做好就跳到第三點來進行執法
transcript.whisperx[8].start 155.751
transcript.whisperx[8].end 157.632
transcript.whisperx[8].text 啟動交通違規最主要部分就是超速還有維停
transcript.whisperx[9].start 186.5
transcript.whisperx[9].end 206.116
transcript.whisperx[9].text 對,不能夠危害行政案例。這兩個大概佔了50%那其中危停部分就是一些所謂職業駕駛或者交通用路人最常抱怨的也就是說確實現實你不得不考量會有必須要臨時停這個狀況所以交通部也注意到這一點
transcript.whisperx[10].start 207.079
transcript.whisperx[10].end 234.946
transcript.whisperx[10].text 在去年王部長曾經跟各縣市以及一些的會用路的像職業駕駛工會像計程車或者是貨運業來的工會來開會做出一個結論就希望地方政府大概在10%但每100到150公尺你要劃10公尺就10%劃為黃線或者是林庭的一種格位專用格位出來
transcript.whisperx[11].start 237.251
transcript.whisperx[11].end 237.271
transcript.whisperx[11].text 國務卿
transcript.whisperx[12].start 268.111
transcript.whisperx[12].end 295.04
transcript.whisperx[12].text 這其中﹖當然各工會﹖他有提出說他的需求﹖像計程車還有貨運業﹖他們在六度﹖我們以六度來看﹖他們希望﹖一方政府能夠增加給他們的﹖能夠卸貨專用的一些﹖的那種﹖專用格位﹖還沒事﹖各工會建立179格﹖還沒事政府只畫了兩個﹖只准兩個﹖
transcript.whisperx[13].start 296.769
transcript.whisperx[13].end 304.132
transcript.whisperx[13].text 新北市、台中市、台南市、高雄市各位有看到齁?反而台南最多啦。20個給了17個。那另外啦,所謂的增加10%的黃線
transcript.whisperx[14].start 323.168
transcript.whisperx[14].end 352.676
transcript.whisperx[14].text 你了解很多縣市政府根本對於自己轄區內有多少黃線跟那個紅線的比例都還沒有掌握清楚根本不用說開放所以這個部分就是政府該做的事項你沒有做好那你現在去執法的話那你就會造成一些民怨如果你政府把號誌標線危險入口我該做的我做好了我強力要求你
transcript.whisperx[15].start 355.672
transcript.whisperx[15].end 380.28
transcript.whisperx[15].text 這樣數據上會比較合理,是不是這樣?確實啦,這個是交通工程的這個部分,我想需要我們相關的法律規範然後來大力推廣,要不的話這樣太低的話也是強人手難。我再舉個例子,第一個我們剛提到有教育,這裡有兩張照片,第一張是白色的車子,院長我看到,這台白色的車子,
transcript.whisperx[16].start 381.701
transcript.whisperx[16].end 388.385
transcript.whisperx[16].text 他停在一個小貨車就是專用的格位啦,他這樣可以嗎?
transcript.whisperx[17].start 388.385
transcript.whisperx[17].end 404.655
transcript.whisperx[17].text 不行,不可以。如果私人車是不行啦,那這台車可以喔?這台車是一個非常大的品牌的國產車啦,這台車也非常暢銷啦。那這台車啊,他在出廠的時候啊,他跟交通部申請,他是客貨兩用車。實際上啦,很多人是用來當自家的轎車啦。
transcript.whisperx[18].start 411.206
transcript.whisperx[18].end 436.972
transcript.whisperx[18].text 可是因為他出場申請客戶的兩用車,他可以停在卸貨專用的各位。這個就是我們的駕駛人教育太成功了。讓汽車所有人太聰明了。他鑽這個法律漏洞,這不對啦。再來,一個這個黃色的這個照片,是一台計程車嘛。他停的這條路啊,是台北市中校東路啦。台北市中校東路是貫穿東西啊。
transcript.whisperx[19].start 438.53
transcript.whisperx[19].end 462.468
transcript.whisperx[19].text 最重要的一條商業區密集的道路幾乎整條中教東路非常繁華的商業區但中教東路整條都紅線消費者一定會來客人會下車既然是商業區整條都是百貨公司都是商店他一定會有卸貨的需求但中教東路整條都畫紅線
transcript.whisperx[20].start 464.653
transcript.whisperx[20].end 489.106
transcript.whisperx[20].text 那等於阿你該做的交通的工程沒有做好你等於逼民眾阿他不得不冒險去違規停車啦這個就是所謂的engineering很重要啦Education也很重要最後你才來做Enforcement執法的執行強力執法的一個要求問題好那我們現在啦強力執法那交通有沒有改善我們來看一下齁像昨天的
transcript.whisperx[21].start 495.675
transcript.whisperx[21].end 523.189
transcript.whisperx[21].text 臺中市,我們臺中市做例子臺中市現在是非常成長快速的一個都會臺中市在去年的交通罰單臺中市開了268萬這個表我沒有做出來,沒有關係比前年,比2022年臺中市去年多開了25萬張罰單但是啦,臺中市的交通事故
transcript.whisperx[22].start 525.334
transcript.whisperx[22].end 550.825
transcript.whisperx[22].text 卻增加了而且增加非常多他的死亡人數也增加他受傷人數甚至有59000人增加到96000人增加了快六成也就是說強力執法多開了那麼多的罰單而且造成的交通事故發生數反而大幅增加
transcript.whisperx[23].start 551.724
transcript.whisperx[23].end 580.018
transcript.whisperx[23].text 沒有辦法改善交通,造成的死傷人數也增加,臺中都是全國第一。也就是說,那你嚴刑峻罰之下,實際上沒有辦法達到我們希望他達成的保護行人,或者保護用路人,保護駕駛。甚至於這種民眾交通的檢舉違規件數,增加也非常可怕。
transcript.whisperx[24].start 582.066
transcript.whisperx[24].end 608.177
transcript.whisperx[24].text 剛剛行政院長我們陳院長說造成很大的民怨嘛那我請教幾位這種交通的檢舉人制度還有祭典制度是不是民進黨時候才設立的這個很久了很久沒有八十幾年就很久了但民怨都在我們身上了交通檢舉人制度在1996年都有了檢舉人制度已經存在27年了祭典制度
transcript.whisperx[25].start 609.741
transcript.whisperx[25].end 636.132
transcript.whisperx[25].text 在1986年,民國75年就有了。到現在有37年。也就是說檢舉人自斷祭典之術存在了二、三十年。但為什麼以前不會有民怨,現在造成很大的民怨?部長你覺得?王部長。我覺得第一個當然是檢舉項目的增加。所以變成,包括你剛才提到像違規,違挺的部分是一個大宗。違挺是一個大宗。
transcript.whisperx[26].start 637.328
transcript.whisperx[26].end 657.043
transcript.whisperx[26].text 那我跟委員稍微報告一下,剛才臺中雖然是表現差,但是在去年各縣市齁,各縣市整體是…你先回答我這個問題啦。是。第一個齁,檢舉人制度和計人制度啊,在過去啦,我用個建樹給大家看啦,其中還有一個因素啦,是因為現代科技的進步啦。
transcript.whisperx[27].start 657.937
transcript.whisperx[27].end 685.251
transcript.whisperx[27].text 對啦幾乎每個人都有手機啦每一台車子都有行車記錄器啦甚至機車安全帽它前面也有一個照相機車後面也有一個攝影的啦可是現在科技的工具每個人都可以隨時攝影啦也造成檢舉件數啊它以前是自然增加啦我看了一下民進黨執政以來20105年以來啊原本大概都是微幅自然增加但是到了
transcript.whisperx[28].start 686.519
transcript.whisperx[28].end 713.448
transcript.whisperx[28].text 去年卻大幅增加了由前年的583萬件到去年變869萬件增加了40幾%一年之內主要就是因為我們在去年大幅度放寬檢舉的項目因為去年國外媒體有個報導說台灣是行人地獄交通部就嚇死了這輿論壓力很大開始放寬了
transcript.whisperx[29].start 716.28
transcript.whisperx[29].end 716.3
transcript.whisperx[29].text 韓國瑜
transcript.whisperx[30].start 737.031
transcript.whisperx[30].end 761.665
transcript.whisperx[30].text 除了用路人,就是說你違規當然被處罰啦。但是呢,相對的政府要執行這樣的一個法律啊,也耗費很大人力啊。我們內政部,林部長還在這裡啊。這麼大量的交通罰官借助啊,有沒有造成我們遠景的一個執行的一個負擔啊?是,當然對我們基層遠景其實負擔很大。
transcript.whisperx[31].start 763.544
transcript.whisperx[31].end 791.819
transcript.whisperx[31].text 根據那個報導啦,就是說警方現在投入在處理交通罰單的大概是以前的1.5倍啦。也就是說警力啊,要大量投入在這裡面。它這其中啊,檢舉件數其實是更多啦,它裡面有40%是無效,大概60%有效。但這些你要確認嘛,然後還要再郵寄啊。你說各地警察局啊,光預備金都拿來寄這些罰單都不夠用啊。
transcript.whisperx[32].start 793.107
transcript.whisperx[32].end 802.635
transcript.whisperx[32].text 會有造成這樣的一個狀況嗎?那同時對於職業駕駛的因為記點被調扣駕照啊這點在選前是不是就有暫停?現在目前是不是暫停?
transcript.whisperx[33].start 806.978
transcript.whisperx[33].end 831.777
transcript.whisperx[33].text 因為它這個維庭的部分是一個大宗我們先前應該說去年有把比如說在路口10公尺公車這個10公尺的部分把他佔了基點部分先把他佔了基點部分大概在所有的維修建築裡面就這個維庭它大概只佔23%這交通部自己算的也就是說那你在未來在盤點
transcript.whisperx[34].start 833.342
transcript.whisperx[34].end 859.207
transcript.whisperx[34].text 你的所謂的違規祭典的項目範圍,細部是什麼?部長現在就是一千兩百元以下,事實上這個部分我們一般叫比較違違規啦。違違規事實上在處罰條例也有法言,所以說輕違規不罰這一個部分。所以我們現在就是輕違規不祭典也不開放民眾檢舉,大概用這種方式來進行。
transcript.whisperx[35].start 861.24
transcript.whisperx[35].end 863.126
transcript.whisperx[35].text 但是你所謂的輕微規其實大部分還是我一點
transcript.whisperx[36].start 864.406
transcript.whisperx[36].end 893.407
transcript.whisperx[36].text 但是他違規划款還是划,只是說不開到民眾監獄。我認為政府要趕快追上來的,是政府該做的事項。就你一些交通工程的改善,包括號誌、標線,像那個車道,很多地方政府畫了,像最近我們甚至提出人行道的改善,內政部也提出人行道的一個專責、一個法案出來。但是人行道到底什麼叫人行道?你們兩個部位其實是有很大的不同。
transcript.whisperx[37].start 894.315
transcript.whisperx[37].end 917.245
transcript.whisperx[37].text 因為像標線人行道,很多地方政府現在都畫標線人行道,它不是實體人行道。那標線人行道是交通部管的。那內政部管的是實體的人行道。你看地方政府很多就畫這種標線人行道。甚至它標線人行道旁邊就畫密密麻麻的機車格。那機車停的位置啊,就會佔用到標線人行道。部長有沒有看到?這就是一個亂象啊。
transcript.whisperx[38].start 931.301
transcript.whisperx[38].end 933.664
transcript.whisperx[38].text 謝謝林委員俊憲的質詢。謝謝陳院長的備詢。接下來我們請登記第35號秋委員若驊質詢。