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°ø°£ºÐ¼®À» Ȱ¿ëÇÑ ¼¿ï½Ã ¹«´ÜȾ´Ü »ç°í ºÐ¼®°ú ´ëÀÀ¹æ¾È / Analysis and Countermeasures of the Jaywalking in Seoul Using Spatial Analysis - Focusing on Situational Crime Prevention Strategies - / »óȲÀû ¹üÁË¿¹¹æ Àü·«À» Áß½ÉÀ¸·Î |
| ÀúÀÚ¸í |
Á¶Á¤À±(Jung-Yun Cho) ; ½É¼öÁø(Su-Jin Shim) ; ¼ÇѺ°(Han-Byul Sur) ; À̹νÄ(Min-Sik Lee) |
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Çѱ¹¼ÁÅ×µåÇÐȸ ³í¹®Áý(Ä¿¹Â´ÏƼ ¾ÈÀü°ú ȯ°æ¼³°è), Vol.9 No.1 (2018-05) |
| ÆäÀÌÁö |
½ÃÀÛÆäÀÌÁö(263) ÃÑÆäÀÌÁö(34) |
| ÁÖÁ¦¾î |
GIS ; °ø°£ºÐ¼® ; ÇÖ½ºÆÌºÐ¼® ; °æ¹üÁË ; ¹«´ÜȾ´Ü ; »óȲÀû ¹üÁË¿¹¹æ ; GIS ; Hotspot Analysis ; Misdemeanor ; Jaywalking ; Situational Crime Prevention |
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±¹³» ¹«´ÜȾ´Ü »ç°í ¹ß»ý°Ç¼ö´Â 2014³â 4,093°Ç¿¡¼ 2016³â 5,761°ÇÀ¸·Î °è¼Ó Áõ°¡Çϰí ÀÖ´Ù. ÀÌ·¯ÇÑ Ãß¼¼´Â ¹«´ÜȾ´ÜÀÌ ¶Ç ÇϳªÀÇ »çȸ¹®Á¦·Î ¶°¿À¸£°í ÀÖÀ½À» ÀǹÌÇÑ´Ù. ÀÌ ¿¬±¸¿¡¼´Â ÀÌ·¯ÇÑ ¹«´ÜȾ´Ü »ç°í°¡ ÀÚÁÖ ¹ß»ýÇÏ´Â Àå¼Ò¸¦ ã°í ±× Ư¡À» ºÐ¼®ÇÏ¿© ¹«´ÜȾ´Ü »ç°í¸¦ ¿¹¹æÇϱâ À§ÇÑ ¹æ¾ÈÀ» Á¦½ÃÇϰíÀÚ ÇÑ´Ù. À̸¦ À§ÇØ µµ·Î±³Åë°ø´ÜÀÇ TAAS±³Åë»ç°íÁ¤º¸ °³¹æ½Ã½ºÅÛ¿¡¼ Á¦°øÇÑ ¼¿ï½Ã º¸ÇàÀÚ ¹«´ÜȾ´Ü»ç°í µ¥ÀÌÅ͸¦ QGISÀÇ Æ÷ÀÎÆ® ¸ÅÇÎ(Point Mapping) ¹× Ä¿³Î¹Ðµµ ÃßÁ¤¹ý(Kernel Density Estimation)À¸·Î ¹«´ÜȾ´Ü ÇÖ½ºÆÌ ºÐ¼®À» ½Ç½ÃÇÏ¿´´Ù. ºÐ¼®°á°ú, ÇÖ½ºÆÌ Áö¿ªÀ¸·Î ¼±Á¤µÈ °÷Àº Á¾·Î±¸, ¿µµîÆ÷±¸, ±¸·Î±¸, Áß±¸ÀÇ ÀϺΠÁöÁ¡À¸·Î¼ ³ôÀº ¹ÐµµÀÇ ÇÖ½ºÆÌ ±×¸®µå¸¦ °¡Áö°í ÀÖ¾úÀ¸¸ç ±× Áö¿ªÀ» Áß½ÉÀ¸·Î ¹«´ÜȾ´Ü ÇÖ½ºÆÌ ±ºÁýÀ» Çü¼ºÇϰí ÀÖ¾ú´Ù. ÀÌ ÁöÁ¡µéÀº ´ë°³ ÁöÇÏö¿ª°ú ¹ö½ºÁ¤·ùÀå°ú °°ÀÌ ±³Åë·®ÀÌ ¸¹°í Àα¸À̵¿·üÀÌ ³ôÀº Àå¼Ò¿¡ ºÐÆ÷Çϰí ÀÖ¾úÀ¸¸ç Àç·¡½ÃÀå°ú °°Àº »ó¾÷½Ã¼³ÀÌ ºÐÆ÷ÇØ ÀÖ¾ú´Ù. ¶ÇÇÑ ÇÖ½ºÆÌÀ¸·Î ¼±Á¤µÈ Áö¿ª¿¡¼´Â Áß¾Ó¼± ¹× µµº¸ Ææ½º°¡ ºÎÀçÇϰųª ÆÄ¼ÕµÈ °æ¿ì°¡ ¸¹¾Ò´Ù. ÀÌ ¿¬±¸´Â ÀÌ·¯ÇÑ ¹«´ÜȾ´Ü ÇÖ½ºÆÌ ºÐ¼®À» ¹ÙÅÁÀ¸·Î »óȲÀû ¹üÁË¿¹¹æ(Situational Crime Prevention) Àü·«À» ÅëÇØ ¹«´ÜȾ´Ü ¹ß»ýÀ» ¿¹¹æÇÏ´Â ¹æ¹ýÀ» Ž»öÇÏ¿´´Ù. |
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Domestic jaywalking accidents are continuously increasing from 4,093 cases in 2014 to 5,761 cases in 2016. This trend implies that the jaywalking is emerging as another social problem. In this study, we propose a method to prevent a jaywalking accident by searching for a place where such jaywalking accident happens frequently and analyzing its characteristics. For this purpose, jaywalking hotspot analysis was carried out using the point mapping and kernel density estimation methods through the QGIS using pedestrian jaywalking incident data provided by TAAS traffic accident information opening system of Road Traffic Corporation. As a result of the research, the hotspot areas in Jongno-gu, Yeongdeungpo-gu, Guro-gu, and Jung-gu have high density hotspot grid and they formed an jaywalking hotspot cluster around the area. These areas were mostly located in high traffic areas such as subway stations and bus stops, and high population moving places and commercial facilities such as traditional markets were distributed. Also, in the areas selected as hotspots, the center line and the walking fence were often absent or damaged. Based on the analysis of the jaywalking hotspots, situational crime prevention strategies were sought to prevent the occurrence of jaywalking. |