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³í¹®¸í º¸ÇàÀÚ¿ì¼±µµ·Î»ç¾÷À¸·Î ÀÎÇÑ º¸ÇàÀÚ ±³Åë»ç°í Àú°¨È¿°ú ºÐ¼® / The Analysis of Traffic Accident Reduction Effect by Pedestrian Priority Street Project
ÀúÀÚ¸í ±è¼ÒÀ±(Kim, So-Yun) ; ÀÌ°æȯ(Lee, Kyung-Hwan)½Äº°ÀúÀÚ
¹ßÇà»ç ´ëÇÑ°ÇÃàÇÐȸ
¼ö·Ï»çÇ× ´ëÇÑ°ÇÃàÇÐȸ³í¹®Áý, Vol.36 No.11 (2020-11)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(205) ÃÑÆäÀÌÁö(9)
ISSN 2733-6247
ÁÖÁ¦ºÐ·ù µµ½Ã / °èȹ¹×¼³°è
ÁÖÁ¦¾î º¸Çàȯ°æ; ±³Åë»ç°í; º¸Çàģȭµµ; T-Test; Æ÷¾Æ¼Û ȸ±ÍºÐ¼®; TAAS ; Pedestrian environment; Traffic accidents; Pedestrian-friendly; T-Test; Poisson regression; TAAS
¿ä¾à1 º» ¿¬±¸´Â ¼­¿ï½Ã¿¡¼­ ½ÃÇàÇÏ°í ÀÖ´Â º¸ÇàÀÚ¿ì¼±µµ·Î»ç¾÷À» ´ë»óÀ¸·Î »ç¾÷ ÀüÈÄ º¸ÇàÀÚ ±³Åë»ç°í°¡ °¨¼ÒÇÏ¿´´ÂÁö ºÐ¼®ÇÏ°í Àú°¨¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â ¹°¸®Àû Ư¼ºÀ» µµ·Î±³Åë°ø´Ü¿¡¼­ Á¦°øÇÏ´Â ±³Åë»ç°íºÐ¼®½Ã½ºÅÛ(TAAS)À» È°¿ëÇÏ¿© »ç¾÷ ÀüÈÄ º¸ÇàÀÚ ±³Åë»ç°í ¼ö º¯È­¸¦ Åë°èÀûÀ¸·Î °ËÁ¤ÇÏ°í º¸ÇàÀÚ ±³Åë»ç°í¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â ¿äÀÎÀ» Æ÷¾Æ¼Û ȸ±ÍºÐ¼®À» ÀÌ¿ëÇÏ¿© ºÐ¼®ÇÏ¿´´Ù. ºÐ¼®°á°ú º¸ÇàÀÚ ±³Åë»ç°í°¡ ¾à 29% °¨¼ÒÇÑ °ÍÀ¸·Î ³ªÅ¸³µÀ¸¸ç, Æ÷¾Æ¼Û ȸ±ÍºÐ¼® °á°ú Áö¿ªÀÇ ¿ëµµÁö¿ª, À¯µ¿Àα¸ Ư¼º, µµ·Î ¹× ±³Åë¿©°ÇÀÌ ¿µÇâÀ» ¹ÌÄ¡´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù.
¿ä¾à2 This research analyzed the number of pedestrian traffic accidents before and after the pedestrian priority street project was introduced by
the Seoul Metropolitan Government in 2013; the Project has since been implemented nationwide. Research has not been carried out much
to analyze the effects of the introduction of pedestrian priority street projects, especially how much the reduction of pedestrian traffic
accidents has been made, which is the most important goal of the pedestrian priority street project, and how the creation of
pedestrian priority streets affects pedestrian traffic accidents. The Project uses the Traffic Authority¡¯s Traffic Accident Analysis System
(TAAS) to identify the physical factors involved in reducing pedestrian traffic accidents, and the Poisson regression model to verify the
Project¡¯s effectiveness and to prepare detailed improvement measures. Toward this end, the Seoul Metropolitan Government analyzed the
factors affecting the number of pedestrian traffic accidents before and after the Project using the T-Test, and the number of pedestrian traffic
accidents through Poisson regression analysis. The T-Test analysis showed statistically significant results, and the Poisson regression analysis
showed that commercial areas, population density, floating population, road width, one-way traffic, crosswalk density, and closed-circuit
television (CCTV) presence all were land-use characteristics that had an effect on pedestrian safety. These findings should be considered not
only for pedestrian convenience or budget, but also for their effect on pedestrian safety when making land-use or installation decisions.
¼ÒÀåó ´ëÇÑ°ÇÃàÇÐȸ
¾ð¾î Çѱ¹¾î
DOI https://doi.org/10.5659/JAIK.2020.36.11.205
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