iVOD / 151524

Field Value
IVOD_ID 151524
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/151524
日期 2024-04-22
會議資料.會議代碼 委員會-11-1-26-13
會議資料.會議代碼:str 第11屆第1會期社會福利及衛生環境委員會第13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 13
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第1會期社會福利及衛生環境委員會第13次全體委員會議
影片種類 Clip
開始時間 2024-04-22T10:10:50+08:00
結束時間 2024-04-22T10:21:29+08:00
影片長度 00:10:39
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/5754819b6179c336087834199dac635dcff82116bdf94ca8dcb4691eb09bf4e2143847ea1a8270d35ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蘇清泉
委員發言時間 10:10:50 - 10:21:29
會議時間 2024-04-22T09:00:00+08:00
會議名稱 立法院第11屆第1會期社會福利及衛生環境委員會第13次全體委員會議(事由:邀請環境部部長、交通部、經濟部、內政部警政署就「噪音管制與加速推動排氣管噪音認證」進行專題報告,並備質詢。 【4月22日、24日及25日三天一次會】)
gazette.lineno 532
gazette.blocks[0][0] 蘇委員清泉:(10時10分)謝謝主席,我請部長。
gazette.blocks[1][0] 主席:請薛部長。
gazette.blocks[2][0] 薛部長富盛:蘇委員早。
gazette.blocks[3][0] 蘇委員清泉:部長,恭喜喔!脫離苦海。
gazette.blocks[4][0] 薛部長富盛:感謝,不會啦!別這樣說,我學習了很多。
gazette.blocks[5][0] 蘇委員清泉:立法院是牛肉場,立法院也是大染缸,來這邊正常人都會變得不正常。
gazette.blocks[6][0] 薛部長富盛:不會、不會,蘇委員太客氣了。
gazette.blocks[7][0] 蘇委員清泉:回去學校好好再修練一下,現在教授可以幹到70歲嘛?
gazette.blocks[8][0] 薛部長富盛:對,可以從65歲延退到70歲,但是延退就不能借調,所以我必須回去。
gazette.blocks[9][0] 蘇委員清泉:好,今天大家都一直圍著噪音在走,讓部長見識見識。
gazette.blocks[9][1] (播放影片)
gazette.blocks[10][0] 蘇委員清泉:137分貝,這第一名啦!這個在臺灣是一個很夯的行業,137.4分貝,不錯喔!聽了很爽!接下來看車子,這個沒有掛牌,還會噴火。部長,你看到這個覺得怎麼樣?我看了是很興奮耶!
gazette.blocks[11][0] 薛部長富盛:我看了是很難過。
gazette.blocks[12][0] 蘇委員清泉:你看這個排氣管,一支排氣管都要十幾萬,我在這裡有另類的看法,臺灣的改裝行業非常的……
gazette.blocks[13][0] 薛部長富盛:盛行。
gazette.blocks[14][0] 蘇委員清泉:很棒喔!我們做的材料還有外銷喔!還賺了不少錢,所以年輕人他沒掛牌,你要怎麼罰他?但是唯一不好就是他在室內測速,空氣不好,你看都是在室內,車子也是,車子最多就掛臨時牌,一年繳個二、三十萬,他也爽,臨時牌你也沒辦法開單啊!對不對?部長,這樣對不對?
gazette.blocks[15][0] 薛部長富盛:對,這群人大概都在玩車的,在他們自己的場域嘛!
gazette.blocks[16][0] 蘇委員清泉:所以這個要怎麼引導?不要像剛剛在講的一直禁,我這裡有一個建議,大鵬灣國際賽車場現在生意很差,你可以引導讓他去那邊拼、去那邊比,為什麼呢?這個大鵬灣國際賽車場是我在第8屆立委的時候,我是促成之一啦!主力之一,那個時候是希望F1去那邊,後來因為長度不夠,所以變成F2而已,現在因為大鵬灣標出去,東方集團解約了,也仲裁了,現在要再找新的合約,但是這個賽車場就丟在那邊是蠻可惜的,我們是不是把這個產業……
gazette.blocks[16][1] 你看年輕人看到那個就爽啊!他們就是要玩這個,為什麼不把他引導到這裡?第二,我們稅收也增加,讓他們有地方去發揚一下,然後車子也可以,都可以,摩托車也可以,也讓這個產業能蓬勃發展,這個是另一方面。這種東西放在我們的街頭,在原住民那邊這樣玩,沒有人受得了嘛!對不對?部長,你看……
gazette.blocks[17][0] 薛部長富盛:對,其實蘇委員的觀念很好,我覺得這種才是……既然我們禁止不了,那就應該是引導在特定的場域,讓這群人可以去發揮,也符合他的興趣,應該是這樣,又不會影響到別人,應該是用引導來取代禁止,這個是可以思考的方式。
gazette.blocks[18][0] 蘇委員清泉:彰濱那個賽車場也是,也沒有達到F1嘛!這個都是F1以下的,所以我們要把它弄……
gazette.blocks[19][0] 薛部長富盛:好。
gazette.blocks[20][0] 蘇委員清泉:因為這個長度不夠啦!所以說如果能夠達到F1的話,當然是要把它弄成F1嘛!剛剛看到這個是另外一個角度,這是一個產業,不要把它當作……
gazette.blocks[21][0] 薛部長富盛:對,從另外一個角度來思考。
gazette.blocks[22][0] 蘇委員清泉:不是妖魔鬼怪,沒有那麼嚴重啦!但是他們到路上去飆車,就是不對。
gazette.blocks[23][0] 薛部長富盛:對,沒錯。
gazette.blocks[24][0] 蘇委員清泉:會在路上飆車就因為他沒有場地嘛!所以你就要把他引導,部長應該可以同意我說的……
gazette.blocks[25][0] 薛部長富盛:可以,我認同蘇委員正面的看法,把他引導,而不是把他變妖魔化,但是在正常的地方、我們一般的地方就不允許這樣做。
gazette.blocks[26][0] 蘇委員清泉:對、對、對。
gazette.blocks[27][0] 薛部長富盛:就要去特定的地方,我們提供場域。
gazette.blocks[28][0] 蘇委員清泉:對,就是要這樣子,大家看一下,在大鵬灣,你要飆就來這邊飆,歡迎喔!
gazette.blocks[29][0] 薛部長富盛:幫屏東行銷就對了。
gazette.blocks[30][0] 蘇委員清泉:對,行銷。
gazette.blocks[30][1] 好,再來,我們現在的聯合稽查,你剛剛講了有警察跟環保的,因為警察不能去取締噪音嘛!所以一定要警察跟環保,就發生一個事情,你看你們噪音給人家罰了三千、六千,這沒多少,他還喊殺、喊打,最好罰一萬、兩萬我沒意見。但是交通隊這邊用交通條例第四十三條,那前面是用噪音的第十一條,警察開一張單、環保開一張單,行政罰則可以一事二罰嗎?它只是一個噪音而已耶!部長。
gazette.blocks[31][0] 薛部長富盛:我想一罪大概不能二罰啦!就看他那個行為是屬於哪一個,當然站在人民的權利,就讓他選擇他要接受兩個裡面的哪一個,我個人的看法啦!
gazette.blocks[32][0] 蘇委員清泉:這個還給人家吊照吊6個月耶!你知道嗎?有這樣幹的嗎?我今天講的都是用另外一個角度在看事情,當部長就要講官話,回到學校當教授就要講實話。
gazette.blocks[33][0] 薛部長富盛:沒有啦!我都講實話,我沒有在講官話。
gazette.blocks[34][0] 蘇委員清泉:核三廠的廠長退休前3天、5天還在跟我吵架,他說沒有缺電、沒有缺電;結果他退休之後2天,我去拜訪他,我請他當我的核能顧問,他說缺電缺得一塌糊塗,我說你神經病啊!
gazette.blocks[35][0] 薛部長富盛:沒有啦!我表裡一致的啦!
gazette.blocks[36][0] 蘇委員清泉:部長,你不會這樣吧?
gazette.blocks[37][0] 薛部長富盛:不分場合都一樣,做人就是要這樣啦!
gazette.blocks[38][0] 蘇委員清泉:做人要比較有堅持啦!所以這個是我一再要講的,就是你現在總共有一百多套嘛!全臺灣。
gazette.blocks[39][0] 薛部長富盛:210套。
gazette.blocks[40][0] 蘇委員清泉:都是科技執法的嘛?
gazette.blocks[41][0] 薛部長富盛:對,科技執法210。
gazette.blocks[42][0] 蘇委員清泉:最近要增加到三百多套?
gazette.blocks[43][0] 薛部長富盛:對,306套,會再增加306套。
gazette.blocks[44][0] 蘇委員清泉:我們屏東有設很多臺嗎?這樣隨便設,我們屏東會死耶!
gazette.blocks[45][0] 薛部長富盛:我回去再瞭解我們分配的原則,有時候各縣市也不要互相比較來比較去啦!當然假如說真的落差很大,可以稍微反映一下,我相信環境部在做這個分配,應該也有一定的原則,包括縣市政府的配合度,願不願意來配合款,這個也相關,因為現在數量都還很少,所以數量很少的時候在那邊比較說哪裡多、哪裡少,可能我們來爭取更多的設備……
gazette.blocks[46][0] 蘇委員清泉:我還有30秒,最後一個問題就是電動車現在都沒有聲音,電動車我看沒什麼噪音,那會不會太安靜了,容易發生車禍?
gazette.blocks[47][0] 薛部長富盛:有的人也是這樣感覺,都沒聲音。
gazette.blocks[48][0] 蘇委員清泉:有點吵吵的,你才知道車子來了。
gazette.blocks[49][0] 薛部長富盛:反而不習慣。
gazette.blocks[50][0] 蘇委員清泉:不習慣耶!車子來都沒感覺,真的要撞下去了,你也不知道,那要怎麼辦?
gazette.blocks[51][0] 薛部長富盛:你看這個又是另外一種,所以搭配電動車……
gazette.blocks[52][0] 蘇委員清泉:要講實話喔。
gazette.blocks[53][0] 薛部長富盛:事實上現在的電動車有很多感測器,你看包括Tesla,你在高速公路跑,旁邊有車子來,它會有聲音跟反應,所以我覺得車商他會設計……
gazette.blocks[54][0] 蘇委員清泉:沒有,這是針對開車的人,他的車上四周有一大堆sensor,這個我們同意,但是外面的人,譬如說騎摩托車的人,電動車從你旁邊經過,如果沒聲音你也不知道,那會很容易發生擦撞,所以我們談到噪音,你說70以上不行,還是80以上不行……
gazette.blocks[55][0] 薛部長富盛:對,剛剛盧委員有講大概7、80那個範圍嘛。
gazette.blocks[56][0] 蘇委員清泉:對,如果電動車的噪音是0,那還得了,至少要有1、20的噪音……
gazette.blocks[57][0] 薛部長富盛:沒有,不可能啦,那輪子在路上跑都一定有聲音啦……
gazette.blocks[58][0] 蘇委員清泉:不然不曉得車子來。會喔,都有聲音喔?
gazette.blocks[59][0] 薛部長富盛:都有,不可能0啦,要是0的話就……
gazette.blocks[60][0] 蘇委員清泉:電動車這一塊可能要用點心喔,好不好?不然的話,我很怕另類的問題。
gazette.blocks[61][0] 林司長福山:這個部分我跟委員報告一下,電動車的部分,在國際安全法規裡面有要求它具備最基本的警示音,國內的法規跟聯合國以及歐盟的法規都一樣。
gazette.blocks[62][0] 蘇委員清泉:多少?
gazette.blocks[63][0] 林司長福山:我再提供細部資料給委員,但是有要求一個警示音。
gazette.blocks[64][0] 蘇委員清泉:警示的音量,好,謝謝。
gazette.blocks[65][0] 薛部長富盛:謝謝蘇委員。
gazette.blocks[66][0] 主席(王委員正旭代):謝謝蘇清泉委員的發言。下一位請黃秀芳委員發言。
gazette.agenda.page_end 252
gazette.agenda.meet_id 委員會-11-1-26-13
gazette.agenda.speakers[0] 黃秀芳
gazette.agenda.speakers[1] 陳昭姿
gazette.agenda.speakers[2] 陳菁徽
gazette.agenda.speakers[3] 林月琴
gazette.agenda.speakers[4] 廖偉翔
gazette.agenda.speakers[5] 王育敏
gazette.agenda.speakers[6] 盧縣一
gazette.agenda.speakers[7] 蘇清泉
gazette.agenda.speakers[8] 涂權吉
gazette.agenda.speakers[9] 王正旭
gazette.agenda.speakers[10] 楊瓊瓔
gazette.agenda.speakers[11] 李坤城
gazette.agenda.speakers[12] 林德福
gazette.agenda.speakers[13] 林淑芬
gazette.agenda.speakers[14] 洪孟楷
gazette.agenda.speakers[15] 鄭天財Sra Kacaw
gazette.agenda.speakers[16] 牛煦庭
gazette.agenda.speakers[17] 何欣純
gazette.agenda.speakers[18] 劉建國
gazette.agenda.speakers[19] 羅智強
gazette.agenda.speakers[20] 陳瑩
gazette.agenda.speakers[21] 楊曜
gazette.agenda.speakers[22] 黃仁
gazette.agenda.speakers[23] 邱鎮軍
gazette.agenda.speakers[24] 廖先翔
gazette.agenda.speakers[25] 陳冠廷
gazette.agenda.page_start 161
gazette.agenda.meetingDate[0] 2024-04-22
gazette.agenda.gazette_id 1133401
gazette.agenda.agenda_lcidc_ids[0] 1133401_00003
gazette.agenda.meet_name 立法院第11屆第1會期社會福利及衛生環境委員會第13次全體委員會議紀錄
gazette.agenda.content 邀請環境部部長、交通部、經濟部、內政部警政署就「噪音管制與加速推動排氣管噪音認證」進 行專題報告,並備質詢
gazette.agenda.agenda_id 1133401_00002
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 7.82721875
transcript.pyannote[0].end 9.43034375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 9.66659375
transcript.pyannote[1].end 10.03784375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 10.27409375
transcript.pyannote[2].end 10.29096875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 10.29096875
transcript.pyannote[3].end 11.05034375
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 14.27346875
transcript.pyannote[4].end 15.30284375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 15.94409375
transcript.pyannote[5].end 16.24784375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 16.50096875
transcript.pyannote[6].end 18.27284375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 18.18846875
transcript.pyannote[7].end 19.90971875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 20.39909375
transcript.pyannote[8].end 21.66471875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 21.66471875
transcript.pyannote[9].end 23.92596875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 24.63471875
transcript.pyannote[10].end 27.48659375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 27.67221875
transcript.pyannote[11].end 29.30909375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 29.64659375
transcript.pyannote[12].end 31.70534375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 31.85721875
transcript.pyannote[13].end 32.34659375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 32.27909375
transcript.pyannote[14].end 33.34221875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 33.56159375
transcript.pyannote[15].end 39.56909375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 39.56909375
transcript.pyannote[16].end 40.29471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 40.29471875
transcript.pyannote[17].end 40.36221875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 40.39596875
transcript.pyannote[18].end 41.40846875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 40.83471875
transcript.pyannote[19].end 45.96471875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 42.89346875
transcript.pyannote[20].end 43.87221875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 46.06596875
transcript.pyannote[21].end 47.83784375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 46.36971875
transcript.pyannote[22].end 49.55909375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 48.04034375
transcript.pyannote[23].end 48.49596875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 51.34784375
transcript.pyannote[24].end 53.01846875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 55.95471875
transcript.pyannote[25].end 60.00471875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 74.68596875
transcript.pyannote[26].end 76.05284375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 76.49159375
transcript.pyannote[27].end 77.03159375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 77.50409375
transcript.pyannote[28].end 77.99346875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 78.46596875
transcript.pyannote[29].end 79.51221875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 97.14659375
transcript.pyannote[30].end 100.60596875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 101.07846875
transcript.pyannote[31].end 103.86284375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 104.40284375
transcript.pyannote[32].end 105.34784375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 112.97534375
transcript.pyannote[33].end 113.26221875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 115.40534375
transcript.pyannote[34].end 116.53596875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 116.87346875
transcript.pyannote[35].end 117.36284375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 117.61596875
transcript.pyannote[36].end 118.34159375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 121.15971875
transcript.pyannote[37].end 121.58159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 122.03721875
transcript.pyannote[38].end 122.05409375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 122.07096875
transcript.pyannote[39].end 125.53034375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 126.96471875
transcript.pyannote[40].end 127.85909375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 128.41596875
transcript.pyannote[41].end 129.20909375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 130.67721875
transcript.pyannote[42].end 132.48284375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 133.22534375
transcript.pyannote[43].end 133.52909375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 138.01784375
transcript.pyannote[44].end 138.43971875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 138.54096875
transcript.pyannote[45].end 139.72221875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 140.58284375
transcript.pyannote[46].end 141.76409375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 142.57409375
transcript.pyannote[47].end 143.04659375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 143.36721875
transcript.pyannote[48].end 144.80159375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 143.78909375
transcript.pyannote[49].end 145.88159375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 146.26971875
transcript.pyannote[50].end 146.67471875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 147.11346875
transcript.pyannote[51].end 148.80096875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 149.23971875
transcript.pyannote[52].end 149.86409375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 151.18034375
transcript.pyannote[53].end 151.29846875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 151.90596875
transcript.pyannote[54].end 154.53846875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 154.48784375
transcript.pyannote[55].end 154.97721875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 154.97721875
transcript.pyannote[56].end 163.71846875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 163.73534375
transcript.pyannote[57].end 166.85721875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 167.49846875
transcript.pyannote[58].end 177.82596875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 178.19721875
transcript.pyannote[59].end 180.13784375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 181.38659375
transcript.pyannote[60].end 184.12034375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 184.50846875
transcript.pyannote[61].end 185.63909375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 185.92596875
transcript.pyannote[62].end 187.17471875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 187.63034375
transcript.pyannote[63].end 191.93346875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 192.87846875
transcript.pyannote[64].end 194.43096875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 194.75159375
transcript.pyannote[65].end 197.04659375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 197.82284375
transcript.pyannote[66].end 201.06284375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 201.55221875
transcript.pyannote[67].end 203.69534375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 204.18471875
transcript.pyannote[68].end 214.17471875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 213.01034375
transcript.pyannote[69].end 213.55034375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 214.25909375
transcript.pyannote[70].end 232.12971875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 232.83846875
transcript.pyannote[71].end 237.68159375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 238.27221875
transcript.pyannote[72].end 240.09471875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 240.48284375
transcript.pyannote[73].end 253.17284375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 253.62846875
transcript.pyannote[74].end 254.82659375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 255.68721875
transcript.pyannote[75].end 257.91471875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 258.31971875
transcript.pyannote[76].end 262.87596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 263.19659375
transcript.pyannote[77].end 268.98471875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 268.46159375
transcript.pyannote[78].end 268.86659375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 269.20409375
transcript.pyannote[79].end 269.55846875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 269.82846875
transcript.pyannote[80].end 281.52284375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 270.09846875
transcript.pyannote[81].end 270.92534375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 281.74221875
transcript.pyannote[82].end 293.06534375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 281.77596875
transcript.pyannote[83].end 281.99534375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 281.99534375
transcript.pyannote[84].end 282.01221875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 292.96409375
transcript.pyannote[85].end 296.45721875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 293.36909375
transcript.pyannote[86].end 294.29721875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 296.89596875
transcript.pyannote[87].end 299.35971875
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 299.71409375
transcript.pyannote[88].end 299.74784375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 299.74784375
transcript.pyannote[89].end 300.05159375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 300.05159375
transcript.pyannote[90].end 313.50096875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 301.90784375
transcript.pyannote[91].end 301.97534375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 312.82596875
transcript.pyannote[92].end 314.98596875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 314.22659375
transcript.pyannote[93].end 323.91284375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 323.50784375
transcript.pyannote[94].end 324.11534375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 324.11534375
transcript.pyannote[95].end 324.14909375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 324.14909375
transcript.pyannote[96].end 324.38534375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 324.14909375
transcript.pyannote[97].end 327.11909375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 328.36784375
transcript.pyannote[98].end 329.70096875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 329.38034375
transcript.pyannote[99].end 331.05096875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 331.15221875
transcript.pyannote[100].end 342.00284375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 333.32909375
transcript.pyannote[101].end 333.83534375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 341.22659375
transcript.pyannote[102].end 342.71159375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 342.03659375
transcript.pyannote[103].end 342.82971875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 343.40346875
transcript.pyannote[104].end 345.52971875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 343.96034375
transcript.pyannote[105].end 345.44534375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 345.52971875
transcript.pyannote[106].end 347.99346875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 348.21284375
transcript.pyannote[107].end 348.53346875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 348.41534375
transcript.pyannote[108].end 350.91284375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 349.52909375
transcript.pyannote[109].end 352.41471875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 351.65534375
transcript.pyannote[110].end 355.08096875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 352.58346875
transcript.pyannote[111].end 353.03909375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 355.18221875
transcript.pyannote[112].end 355.46909375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 356.78534375
transcript.pyannote[113].end 376.46159375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 376.96784375
transcript.pyannote[114].end 386.63721875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 388.08846875
transcript.pyannote[115].end 391.02471875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 391.61534375
transcript.pyannote[116].end 393.94409375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 394.55159375
transcript.pyannote[117].end 395.98596875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 397.03221875
transcript.pyannote[118].end 397.40346875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 397.57221875
transcript.pyannote[119].end 399.39471875
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 399.71534375
transcript.pyannote[120].end 402.22971875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 400.66034375
transcript.pyannote[121].end 401.48721875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 402.85409375
transcript.pyannote[122].end 407.51159375
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 408.00096875
transcript.pyannote[123].end 413.53596875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 413.99159375
transcript.pyannote[124].end 414.44721875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 415.49346875
transcript.pyannote[125].end 417.73784375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 418.27784375
transcript.pyannote[126].end 418.93596875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 419.52659375
transcript.pyannote[127].end 425.71971875
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 424.20096875
transcript.pyannote[128].end 424.69034375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 426.36096875
transcript.pyannote[129].end 426.91784375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 427.01909375
transcript.pyannote[130].end 429.26346875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 429.34784375
transcript.pyannote[131].end 433.21221875
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 433.68471875
transcript.pyannote[132].end 434.03909375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 434.03909375
transcript.pyannote[133].end 434.91659375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 434.91659375
transcript.pyannote[134].end 435.03471875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 435.03471875
transcript.pyannote[135].end 441.80159375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 435.23721875
transcript.pyannote[136].end 437.48159375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 442.18971875
transcript.pyannote[137].end 443.48909375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 443.67471875
transcript.pyannote[138].end 444.53534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 444.80534375
transcript.pyannote[139].end 447.37034375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 447.72471875
transcript.pyannote[140].end 450.03659375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 450.37409375
transcript.pyannote[141].end 452.71971875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 453.34409375
transcript.pyannote[142].end 454.44096875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 454.44096875
transcript.pyannote[143].end 457.34346875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 456.90471875
transcript.pyannote[144].end 457.91721875
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 457.54596875
transcript.pyannote[145].end 459.72284375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 459.72284375
transcript.pyannote[146].end 460.00971875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 460.00971875
transcript.pyannote[147].end 460.02659375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 460.02659375
transcript.pyannote[148].end 460.51596875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 460.07721875
transcript.pyannote[149].end 461.69721875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 461.78159375
transcript.pyannote[150].end 463.46909375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 463.63784375
transcript.pyannote[151].end 468.66659375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 468.81846875
transcript.pyannote[152].end 469.12221875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 469.81409375
transcript.pyannote[153].end 472.41284375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 474.13409375
transcript.pyannote[154].end 475.02846875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 475.02846875
transcript.pyannote[155].end 475.04534375
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 475.04534375
transcript.pyannote[156].end 475.06221875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 475.70346875
transcript.pyannote[157].end 476.54721875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 475.72034375
transcript.pyannote[158].end 477.54284375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 477.99846875
transcript.pyannote[159].end 479.60159375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 479.31471875
transcript.pyannote[160].end 480.68159375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 479.83784375
transcript.pyannote[161].end 481.84596875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 482.33534375
transcript.pyannote[162].end 483.88784375
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 484.49534375
transcript.pyannote[163].end 487.51596875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 486.45284375
transcript.pyannote[164].end 489.42284375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 489.65909375
transcript.pyannote[165].end 491.63346875
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 490.89096875
transcript.pyannote[166].end 491.19471875
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 494.08034375
transcript.pyannote[167].end 494.90721875
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 495.07596875
transcript.pyannote[168].end 498.68721875
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 498.94034375
transcript.pyannote[169].end 505.38659375
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 505.63971875
transcript.pyannote[170].end 507.36096875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 507.64784375
transcript.pyannote[171].end 511.39409375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 511.63034375
transcript.pyannote[172].end 513.16596875
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 513.40221875
transcript.pyannote[173].end 514.90409375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 515.15721875
transcript.pyannote[174].end 517.78971875
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 518.00909375
transcript.pyannote[175].end 522.14346875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 522.31221875
transcript.pyannote[176].end 523.10534375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 523.72971875
transcript.pyannote[177].end 525.67034375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 526.02471875
transcript.pyannote[178].end 526.04159375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 526.05846875
transcript.pyannote[179].end 526.07534375
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 526.07534375
transcript.pyannote[180].end 526.59846875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 526.59846875
transcript.pyannote[181].end 529.19721875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 530.36159375
transcript.pyannote[182].end 531.76221875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 531.77909375
transcript.pyannote[183].end 534.59721875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 535.32284375
transcript.pyannote[184].end 536.53784375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 536.67284375
transcript.pyannote[185].end 537.92159375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 538.20846875
transcript.pyannote[186].end 539.30534375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 539.59221875
transcript.pyannote[187].end 539.60909375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 539.60909375
transcript.pyannote[188].end 540.03096875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 540.03096875
transcript.pyannote[189].end 540.38534375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 540.38534375
transcript.pyannote[190].end 542.64659375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 540.63846875
transcript.pyannote[191].end 543.11909375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 543.23721875
transcript.pyannote[192].end 547.18596875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 544.50284375
transcript.pyannote[193].end 544.53659375
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 544.53659375
transcript.pyannote[194].end 545.59971875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 547.65846875
transcript.pyannote[195].end 550.25721875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 550.76346875
transcript.pyannote[196].end 552.26534375
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 552.33284375
transcript.pyannote[197].end 569.95034375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 554.05409375
transcript.pyannote[198].end 556.39971875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 569.56221875
transcript.pyannote[199].end 573.20721875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 573.56159375
transcript.pyannote[200].end 582.53909375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 583.14659375
transcript.pyannote[201].end 585.86346875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 586.75784375
transcript.pyannote[202].end 589.18784375
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 589.18784375
transcript.pyannote[203].end 593.17034375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 592.10721875
transcript.pyannote[204].end 592.44471875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 593.10284375
transcript.pyannote[205].end 596.15721875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 596.52846875
transcript.pyannote[206].end 600.83159375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 596.73096875
transcript.pyannote[207].end 597.42284375
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 597.89534375
transcript.pyannote[208].end 601.64159375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 601.81034375
transcript.pyannote[209].end 602.87346875
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 602.87346875
transcript.pyannote[210].end 605.13471875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 605.25284375
transcript.pyannote[211].end 610.29846875
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 609.69096875
transcript.pyannote[212].end 610.16346875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 610.29846875
transcript.pyannote[213].end 610.33221875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 610.63596875
transcript.pyannote[214].end 612.07034375
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 612.07034375
transcript.pyannote[215].end 612.08721875
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 612.08721875
transcript.pyannote[216].end 613.09971875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 613.01534375
transcript.pyannote[217].end 625.31721875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 625.97534375
transcript.pyannote[218].end 631.94909375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 631.94909375
transcript.pyannote[219].end 634.81784375
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 634.98659375
transcript.pyannote[220].end 636.53909375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 636.53909375
transcript.pyannote[221].end 639.71159375
transcript.whisperx[0].start 8.364
transcript.whisperx[0].end 30.562
transcript.whisperx[0].text 謝謝主席,我請部長請薛部長好,蘇委員早部長,經濟喔?脫離苦海啦感謝,不會啦,別說這樣,我學習很多這個立法院是那個牛肉場,立法院也是大展崗來這邊,正常人都會變得不正常不會不會,蘇委員太客氣了
transcript.whisperx[1].start 33.604
transcript.whisperx[1].end 36.967
transcript.whisperx[1].text 今天大家都一直在 圍著噪音在走 讓部長見識見識 來
transcript.whisperx[2].start 75.098
transcript.whisperx[2].end 75.479
transcript.whisperx[2].text 三、二、一。
transcript.whisperx[3].start 98.059
transcript.whisperx[3].end 105.041
transcript.whisperx[3].text 台灣這個是一個很棒的行業。137點是福利。你看車子。這個都沒掛牌,沒有掛牌。
transcript.whisperx[4].start 128.456
transcript.whisperx[4].end 133.498
transcript.whisperx[4].text 還在噴火 還在噴火 還在烤 烤製部長 你看了這個 你覺得怎麼樣我看了是很興奮欸你看 這個這個排氣管 一支排氣管都要十幾萬
transcript.whisperx[5].start 151.942
transcript.whisperx[5].end 179.944
transcript.whisperx[5].text 我要這裡另列的看法台灣這個改裝的行業非常的很棒喔我們做的材料還有外銷還賺了不少錢所以年輕人他沒掛牌啊 你要怎麼換但是唯一不好就是他在室內在室內測試空氣不好你看都是在室內車子也是那車子最多他就掛臨時牌一年繳個二三十萬他還爽
transcript.whisperx[6].start 182.075
transcript.whisperx[6].end 202.772
transcript.whisperx[6].text 林氏牌你如果沒有就開斷了,對不對?不對?這樣對不對?對,他這可能是這群人大概都在玩車的,在他們自己的場域嘛所以這個要怎麼引導啦,不要,你剛剛在講一直進那我這裡有一個建議齁,這個大鵬灣國際賽車場,現在線密很大,你能不能引導讓他去那邊,去那邊齁
transcript.whisperx[7].start 207.436
transcript.whisperx[7].end 230.229
transcript.whisperx[7].text 為什麼呢?這個大鵬灣國際賽車場是我在第8屆立委的時候我是促成之一的主力之一那那個時候是希望F1去那邊後來因為長度不夠所以變成F2而已那現在因為大鵬灣飆出去東方集團解約了重財了現在要再找新的合約但是這個賽車場就
transcript.whisperx[8].start 233.03
transcript.whisperx[8].end 254.329
transcript.whisperx[8].text 丟在那邊是蠻可惜的我們是不是把這個產業你看那年輕人看到那個就爽啊他們就是要玩這個那為什麼不把他引導到這裡因為我們稅收也增加然後讓他們有地方去去去花樣一下然後車子也可以都可以摩托車也可以
transcript.whisperx[9].start 255.674
transcript.whisperx[9].end 256.075
transcript.whisperx[9].text 所以蘇文
transcript.whisperx[10].start 271.554
transcript.whisperx[10].end 295.77
transcript.whisperx[10].text 其實你的觀念很好,我覺得這種才是既然我們禁止不了那就應該是引導在特定的場域讓這群人可以去發揮也符合他的興趣應該是這樣,又不會影響到別人應該是用引導來取代這個禁止的這個是可以思考的方式張斌那一刻賽車長也是沒有達到F1
transcript.whisperx[11].start 297
transcript.whisperx[11].end 306.479
transcript.whisperx[11].text 所以這個都是F1以下的所以我們要把它弄因為這個長度不夠啦所以如果能夠達到F1的話當然是要把它弄成F1
transcript.whisperx[12].start 307.614
transcript.whisperx[12].end 314.918
transcript.whisperx[12].text 所以剛剛看到這個是另外一個角度這是一個產業從另外一個角度來思考不是妖魔鬼怪沒那麼嚴重啦但是他們到路上去那飆車就是不對那會在路上飆車就因為他沒有場地嘛所以你不要給他引導
transcript.whisperx[13].start 328.41
transcript.whisperx[13].end 345.739
transcript.whisperx[13].text 我認同蘇文正面的看法﹖把他引導而不是把他妖魔化﹖但是他在正常的地方﹖我們一般的地方就不允許做﹖你就要去特定的地方﹖我們提供場域﹖好
transcript.whisperx[14].start 356.843
transcript.whisperx[14].end 375.522
transcript.whisperx[14].text 我們現在的聯合機場你剛剛講了什麼什麼要警察跟環保的因為警察不能去取締噪音嘛所以一定要跟警察跟環保就發生一個事情啊你看你們噪音給人家花了三千、六千這麼多少當然還是喊殺喊打最好花到一萬、兩萬
transcript.whisperx[15].start 377.423
transcript.whisperx[15].end 395.749
transcript.whisperx[15].text 我沒見但是呢你交通對這邊用交通條例43條那前面是用第8條噪音的11條噪音的警察開一張單環保開一張單行政罰則可以一試二罰嗎他只是一個噪音而已捏部長
transcript.whisperx[16].start 397.625
transcript.whisperx[16].end 418.544
transcript.whisperx[16].text 我想假如一墜大概不能二滑啦就看他那個行為是屬於哪一個當然站在這個人民的權利就讓他選擇他要接受兩個裡面哪一個我個人的看法這感覺給人家吊罩吊六個月捏你知道嗎
transcript.whisperx[17].start 419.614
transcript.whisperx[17].end 420.856
transcript.whisperx[17].text 有這樣幹的嗎?
transcript.whisperx[18].start 420.856
transcript.whisperx[18].end 431.888
transcript.whisperx[18].text 所以我今天講的都是用另外一個角度在看事情。我們當部長就要講官話,回到學校當教授就要講實話。
transcript.whisperx[19].start 434.435
transcript.whisperx[19].end 454.268
transcript.whisperx[19].text 我都講實話我沒有在講官話河山場的廠長退休前三天五天還在跟我吵架他說你有缺電沒有缺電結果他退休之後兩天我去拜訪他我請他當我的核能顧問他說缺電缺得一塌糊塗我說你神經病啊
transcript.whisperx[20].start 454.488
transcript.whisperx[20].end 462.972
transcript.whisperx[20].text 沒有啦,我表裏一致的啦,不分場合都一樣啦,我們做人就是這樣啦做人比較有根本的啦,所以這個是我一再要講的就是說你現在總共有100多套嘛,全台灣201套,210套,210啦都是科技執法的嘛對,科技執法210 那個最近要增加到300多套
transcript.whisperx[21].start 484.514
transcript.whisperx[21].end 485.115
transcript.whisperx[21].text 對。306套會再增加。
transcript.whisperx[22].start 494.124
transcript.whisperx[22].end 521.694
transcript.whisperx[22].text 可能我回去再了解我們分配的一個原則因為有時候大家各縣市也比較互相比較來比較去當然假如說真的落差很大可以稍微反映一下我相信環境部在做這個分配應該也有它一定的原則包括縣市政府的配合度願意不願意來配合款這個也相關因為現在數量都還很少所以數量很少的時候在那裡比較說哪裡多哪裡少可能
transcript.whisperx[23].start 524.215
transcript.whisperx[23].end 529.037
transcript.whisperx[23].text 我們來爭取更多的設備最後一個問題就是電動車現在都沒有聲音了電動車我看沒什麼噪音會不會太安靜了會不會發生車禍有的人也會這樣覺得有點吵吵的不習慣
transcript.whisperx[24].start 547.602
transcript.whisperx[24].end 555.584
transcript.whisperx[24].text 市長現在這電動車它很多感測器啦你再告訴公路跑它旁邊有車載它會有聲音跟反應啦所以也是有這個我覺得車這個車上它會設置沒有這是它開車的人它旁邊一大堆sensor
transcript.whisperx[25].start 574.727
transcript.whisperx[25].end 580.75
transcript.whisperx[25].text 但是外面的人:比如說騎車的人騎電動車一直騎過去:你也不知道會不會發生騎到:所以我們的噪音你說70以上不行:80以上不行:那如果電動車的噪音是0還得了:
transcript.whisperx[26].start 596.916
transcript.whisperx[26].end 600.777
transcript.whisperx[26].text 電動車的部分在這個國際安全法規裡面有要求他最基本的一個這個警示音啊國內的法規跟聯合國跟歐盟的法規都一樣
transcript.whisperx[27].start 626.018
transcript.whisperx[27].end 627.359
transcript.whisperx[27].text 蘇清泉委員的發言