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Çѱ¹µµ·ÎÇÐȸ / v.11, no.2, 2009³â, pp.151-158
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ûÁÖ.û¿ø Áö¹æºÎ ½ÅÈ£±³Â÷·ÎÀÇ ÈĹÌÃßµ¹ »ç°í¸ðÇü
( Rear-end Accident Models of Rural Area Signalized Intersections in the Cases of Cheongju and Cheongwon ) |
| ¹Úº´È£;Àκ´Ã¶; ÃæºÏ´ëÇб³ µµ½Ã°øÇаú;ÃæºÏ´ëÇб³ µµ½Ã°øÇаú;
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| º» ¿¬±¸´Â Áö¹æºÎ¿¡¼ÀÇ ÈĹÌÃßµ¹»ç°í¸¦ ´Ù·ç°í ÀÖ´Ù. ÀÌ ¿¬±¸ÀÇ ¸ñÀûÀº ½ÅÈ£±³Â÷·ÎÀÇ ÈĹÌÁÖµ¹ »ç°íƯ¼ºÀ» ºÐ¼®Çϰí ûÁÖ Ã»¿ø¿¡ ´ëÇÑ»ç°í¸ðÇüÀ» °³¹ßÇÏ´Â °ÍÀÌ´Ù. À̸¦ À§ÇØ, ÀÌ ¿¬±¸¿¡¼´Â µµ½ÃºÎ¿Í Áö¹æºÎÀÇ Æ¯¼ºÀ» ºñ±³Çϴµ¥ ÁßÁ¡À» µÎ°í ÀÖ´Ù. ÀÌ ¿¬±¸¿¡¼ »ç¿ëµÈ Á¾¼Óº¯¼ö´Â »ç°í°Ç¼ö¿Í EFDO(equivalent property damage only)À̸ç, µ¶¸³º¯¼ö´Â ±³Åë·®°ú ±âÇϱ¸Á¶ ¿ä¼Òµé·Î ÀÌ·ç¾îÁ³´Ù. ÁÖ¿ä ¿¬±¸°á°ú´Â ´ÙÀ½°ú °°´Ù. ù°, »ç°í°Ç¼ö¸¦ Á¾¼Óº¯¼ö·Î ÀÌ¿ëÇÑ Æ÷¾Æ¼Û ȸ±Í¸ðÇü°ú EFDO¸¦ Á¾¼Óº¯¼ö·Î ÀÌ¿ëÇÑ À½ÀÌÇ× È¸±Í¸ðÇüÀÌ Åë°èÀûÀ¸·Î ÀûÇÕÇÑ °ÍÀ¸·Î ºÐ¼®µÈ´Ù. µÑ°, Æ÷¾Æ¼Û ȸ±ÍºÐ¼® °á°ú ³ªÅ¸³ µ¶¸³º¯¼öµéÀº ÁßÂ÷·®ºñ, ±³Åë·® ÇÕ°è ±×¸®°í Â÷·® À¯ÃâÀÔ±¸ ÇÕ°èÀ̸ç À½ÀÌÇ× È¸±ÍºÐ¼®À¸·Î ³ªÅ¸³ ¿äÀÎÀº ÁÖµµ·Î Æø, ±³Åë·® ÇÕ°è ±×¸®°í ÁßÂ÷·®ºñ·Î ºÐ¼®µÈ´Ù. ¸¶Áö¸·À¸·Î, Áö¹æºÎ¿¡¼ÀÇ Æ¯Á¤ µ¶¸³º¯¼ö´Â ÁÖµµ·Î Æø°ú ÁßÂ÷·®ºñ ±×¸®°í Â÷·® À¯ÃâÀÔ±¸ ÇÕ°èÀÌ´Ù. |
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| This study deals with the rear-end collisions in the rural aiea. The objectives of this study are 1) to analyze the characteristics of rear-end accidents of signalized intersections, and 2) to develop the accident models for Cheongju-Cheongwon. In pursing the above, this study gives the particular attentions to comparing the characters of urban and rural area. In this study, the dependent variables are the number of accidents and value of EPDO(equivalent property damage only), and independent variables are the traffic volumes and geometric elements. The main results analyzed are the followings. First, the statistical analyses show that the Poisson accident model using the number of accident as a dependant variable are statistically significant and the negative binomial accident model using the value of EPDO are statistically significant. Second, the independent variables of Poisson model are analyzed to be the ratio of high-occupancy vehicles, total traffic volume and the sum of exit/entry, and those of negative binomial regression are the main road width, total traffic volume and the ratio of high-occupancy vehicles. Finally, the specific independent variables to the rural area are the main road width, the ratio of high occupancy vehicle, and the sum exit/entry. |
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| Ű¿öµå |
| »ç°í¸ðÇü;½ÅÈ£±³Â÷·Î;Æ÷¾Æ¼Û Èñ±Í¸ðÇü;À½ÀÌÇ×ȸ±Í¸ðÇü;»ó°üºÐ¼®;ÈĹÌÃßµ¹»ç°í;accident model;signalized intersection;poisson regression model;negative binomial regression model;correlation analysis;rear-end accident; |
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Çѱ¹µµ·ÎÇÐȸ³í¹®Áý / v.11, no.2, 2009³â, pp.151-158
Çѱ¹µµ·ÎÇÐȸ
ISSN : 1738-7159
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200921140045898)
¾ð¾î : Çѱ¹¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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