iVOD / 168402

Field Value
IVOD_ID 168402
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168402
日期 2026-04-09
會議資料.會議代碼 委員會-11-5-15-6
會議資料.會議代碼:str 第11屆第5會期內政委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 6
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第5會期內政委員會第6次全體委員會議
影片種類 Clip
開始時間 2026-04-09T11:14:54+08:00
結束時間 2026-04-09T11:18:48+08:00
影片長度 00:03:54
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fe6424cd58e46bc7238d19e1d1f5323eb509ad0e4ca3d866155eb231b4402889db33f131730d363f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 吳琪銘
委員發言時間 11:14:54 - 11:18:48
會議時間 2026-04-09T09:00:00+08:00
會議名稱 立法院第11屆第5會期內政委員會第6次全體委員會議(事由:邀請內政部部長、國土管理署署長、交通部次長就「加速落實人本交通環境-檢討『永續提升人行安全計畫』執行現況、簡化審核行政流程及協助地方政府改善行人安全設施之精進作為」進行專題報告並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 2.10659375
transcript.pyannote[0].end 7.89471875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 9.00846875
transcript.pyannote[1].end 9.81846875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 18.30659375
transcript.pyannote[2].end 19.53846875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 19.60596875
transcript.pyannote[3].end 29.37659375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 29.83221875
transcript.pyannote[4].end 33.07221875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 33.44346875
transcript.pyannote[5].end 37.18971875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 37.54409375
transcript.pyannote[6].end 38.87721875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 39.26534375
transcript.pyannote[7].end 41.08784375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 41.49284375
transcript.pyannote[8].end 44.09159375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 44.66534375
transcript.pyannote[9].end 49.45784375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 49.94721875
transcript.pyannote[10].end 52.66409375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 53.17034375
transcript.pyannote[11].end 56.49471875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 56.98409375
transcript.pyannote[12].end 59.04284375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 59.48159375
transcript.pyannote[13].end 60.62909375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 60.98346875
transcript.pyannote[14].end 65.26971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 65.62409375
transcript.pyannote[15].end 67.10909375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 67.56471875
transcript.pyannote[16].end 67.88534375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 68.15534375
transcript.pyannote[17].end 71.19284375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 71.51346875
transcript.pyannote[18].end 73.06596875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 73.60596875
transcript.pyannote[19].end 77.48721875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 77.55471875
transcript.pyannote[20].end 80.62596875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 81.04784375
transcript.pyannote[21].end 82.93784375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 83.52846875
transcript.pyannote[22].end 87.52784375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 87.86534375
transcript.pyannote[23].end 89.19846875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 89.85659375
transcript.pyannote[24].end 91.51034375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 91.83096875
transcript.pyannote[25].end 94.91909375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 94.95284375
transcript.pyannote[26].end 94.96971875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 95.10471875
transcript.pyannote[27].end 98.15909375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 98.36159375
transcript.pyannote[28].end 100.57221875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 100.94346875
transcript.pyannote[29].end 102.86721875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 103.03596875
transcript.pyannote[30].end 103.62659375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 104.23409375
transcript.pyannote[31].end 104.99346875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 105.09471875
transcript.pyannote[32].end 106.22534375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 106.61346875
transcript.pyannote[33].end 109.73534375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 110.05596875
transcript.pyannote[34].end 110.93346875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 111.23721875
transcript.pyannote[35].end 112.58721875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 112.89096875
transcript.pyannote[36].end 120.51846875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 120.58596875
transcript.pyannote[37].end 121.75034375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 123.67409375
transcript.pyannote[38].end 135.09846875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 134.30534375
transcript.pyannote[39].end 134.33909375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 134.38971875
transcript.pyannote[40].end 134.57534375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 135.72284375
transcript.pyannote[41].end 140.16096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 140.38034375
transcript.pyannote[42].end 147.77159375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 147.94034375
transcript.pyannote[43].end 148.07534375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 148.68284375
transcript.pyannote[44].end 155.66909375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 158.77409375
transcript.pyannote[45].end 161.47409375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 161.55846875
transcript.pyannote[46].end 167.26221875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 167.26221875
transcript.pyannote[47].end 168.27471875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 167.73471875
transcript.pyannote[48].end 168.12284375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 168.66284375
transcript.pyannote[49].end 169.75971875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 170.40096875
transcript.pyannote[50].end 172.51034375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 172.83096875
transcript.pyannote[51].end 180.42471875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 180.54284375
transcript.pyannote[52].end 183.15846875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 183.58034375
transcript.pyannote[53].end 186.28034375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 186.76971875
transcript.pyannote[54].end 187.84971875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 188.03534375
transcript.pyannote[55].end 190.61721875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 190.78596875
transcript.pyannote[56].end 196.15221875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 196.64159375
transcript.pyannote[57].end 198.37971875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 198.85221875
transcript.pyannote[58].end 202.75034375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 203.07096875
transcript.pyannote[59].end 205.38284375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 205.83846875
transcript.pyannote[60].end 206.44596875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 206.74971875
transcript.pyannote[61].end 210.44534375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 210.85034375
transcript.pyannote[62].end 213.06096875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 213.29721875
transcript.pyannote[63].end 217.14471875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 218.07284375
transcript.pyannote[64].end 218.61284375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 219.40596875
transcript.pyannote[65].end 219.43971875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 219.43971875
transcript.pyannote[66].end 219.70971875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 219.70971875
transcript.pyannote[67].end 220.03034375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 219.74346875
transcript.pyannote[68].end 225.98721875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 226.71284375
transcript.pyannote[69].end 229.49721875
transcript.whisperx[0].start 2.165
transcript.whisperx[0].end 9.562
transcript.whisperx[0].text 好 謝謝我們召委 我們一位同仁請我們的國土署我們的蔡署長麻煩蔡署長
transcript.whisperx[1].start 18.599
transcript.whisperx[1].end 36.713
transcript.whisperx[1].text 蔡署長針對我們人行道德安全我們推動這幾年推動的街道醫生也受到非常好的好評尤其我們街道醫生我們所提出來的由我們中央這邊全力來推動
transcript.whisperx[2].start 37.608
transcript.whisperx[2].end 66.899
transcript.whisperx[2].text 那本市也了解,在本市的轄區本市的轄區叫土城三峽土城三峽我們中央路那一邊的池溪已經都完工了丁剛我跟我們內政部我們的董事長還有我們的組長蔡組長也有到現場本市比他好關心的地方就能行到,尤其在我們的醫生國小
transcript.whisperx[3].start 68.205
transcript.whisperx[3].end 88.98
transcript.whisperx[3].text 包含明德路那一邊也現在持續在做那就是益生路本席這邊有三個案子就益生路還有學翔街還有三峽的文化路這三個地方益生路這個地方是在我們的校園旁邊尤其是個國小
transcript.whisperx[4].start 90.232
transcript.whisperx[4].end 116.782
transcript.whisperx[4].text 國小園的人行道這都讓小朋友孩童的出入這個地段是一個需要極力的趕快去做改善所以我是說這個地方又是一個校園學區這個地方是不是可以優先列入我們這道醫生所提出來在網路評比這個地方
transcript.whisperx[5].start 117.303
transcript.whisperx[5].end 121.295
transcript.whisperx[5].text 是吉利德應該要來作為優先的考量 新民署長
transcript.whisperx[6].start 123.84
transcript.whisperx[6].end 149.681
transcript.whisperx[6].text 跟委員報告齁 那個街道醫生那個是要依照投票的那剛剛委員的講的應該就是說如果他不是在投票裡面的就是一般放到我們的一般性的評估案裡面那剛剛剛剛提到了目前的這個狀況 因為我們有一些評比有一些權重 那聽起來如果是屬於這些校園周邊的這些重要性的 應該他的最後評比出來的分數應該會很高好 如果說評比齁
transcript.whisperx[7].start 151.195
transcript.whisperx[7].end 155.417
transcript.whisperx[7].text 沒有入圍的話是不是優先這個入段為優先入段一個如果200票裡面我們都會列入優先入以上都會列入優先優先改善入段這個部分沒有問題沒問題吧好謝謝因為我們現在非常
transcript.whisperx[8].start 172.935
transcript.whisperx[8].end 197.956
transcript.whisperx[8].text 多的道路,尤其人行道,尤其在我們的學區旁邊這都是小朋友,他們的出入小朋友的出入,你說很多我們都是國小的,這個所在應該要列為優先,來優先路段來實施因為我們孩子,因為孩子為人家會跑嘛,孩子不可以去擺桌子所以說在這個部分
transcript.whisperx[9].start 198.905
transcript.whisperx[9].end 225.434
transcript.whisperx[9].text 我們可以一律維護今天安全尤其我們四年過去我記得在上面我們四年四百億人行道的安全補助我希望在這個部分一定要趕緊落實就好這個部分我們會照我們原來的一個目標那像學校部分的一個重點我們也會加速來執行
transcript.whisperx[10].start 226.766
transcript.whisperx[10].end 227.748
transcript.whisperx[10].text 好的謝謝就這樣好謝謝