{"title":"学区内外热点分析:首尔案例研究","authors":"Uibeom Chun, Joonbeom Lim, Hyungkyu Kim","doi":"10.1155/2024/6613603","DOIUrl":null,"url":null,"abstract":"<p>With growing social concern on pedestrian accidents involving children, the Korean government announced a plan to decrease the number of child deaths due to traffic accidents by 2026. Therefore, policymakers should consider various measures for school zones because a safe school walkway is essential for preventing traffic accidents around schools. Some parts of the roads within a radius of 300 m from elementary school and kindergarten entrances are designated as school zones. Certain roads experience frequent accidents within the school zone, while others experience frequent accidents outside the school zone. Hence, this study aimed to provide school zone types in Seoul by noting different occurrence accidents within and outside each school zone and suggest proper countermeasure by type. After selecting a 300 m radius analysis unit from the school zones, a distinction was made between the school zones and outside for each analysis unit. After verifying the spatial autocorrelation in each unit, hotspot analysis identified four types based on the presence or absence of hotspots in each unit. Types were defined as follows: Type A—no hotspots in school zones or outside the school zones; Type B—hotspots only outside the school zones; Type C—hotspots only the school zones; and Type D—hotspots both in school zones and outside the school zones. Subsequently, a case study was conducted to validate the types. For Types B and C, the results revealed differences in the installation of traffic safety facilities and the environment between within and outside the school zones. Therefore, Type B requires improving safety outside the school zones by expanding school zones to match the safety level within. For Type C, it implies the need to strengthen safety measures in the school zones. Lastly, for Type D, improvement projects for a safe walking environment should be implemented in primarily by conducting separate inspections.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Hotspots in and outside School Zones: A Case Study of Seoul\",\"authors\":\"Uibeom Chun, Joonbeom Lim, Hyungkyu Kim\",\"doi\":\"10.1155/2024/6613603\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>With growing social concern on pedestrian accidents involving children, the Korean government announced a plan to decrease the number of child deaths due to traffic accidents by 2026. Therefore, policymakers should consider various measures for school zones because a safe school walkway is essential for preventing traffic accidents around schools. Some parts of the roads within a radius of 300 m from elementary school and kindergarten entrances are designated as school zones. Certain roads experience frequent accidents within the school zone, while others experience frequent accidents outside the school zone. Hence, this study aimed to provide school zone types in Seoul by noting different occurrence accidents within and outside each school zone and suggest proper countermeasure by type. After selecting a 300 m radius analysis unit from the school zones, a distinction was made between the school zones and outside for each analysis unit. After verifying the spatial autocorrelation in each unit, hotspot analysis identified four types based on the presence or absence of hotspots in each unit. Types were defined as follows: Type A—no hotspots in school zones or outside the school zones; Type B—hotspots only outside the school zones; Type C—hotspots only the school zones; and Type D—hotspots both in school zones and outside the school zones. Subsequently, a case study was conducted to validate the types. For Types B and C, the results revealed differences in the installation of traffic safety facilities and the environment between within and outside the school zones. Therefore, Type B requires improving safety outside the school zones by expanding school zones to match the safety level within. For Type C, it implies the need to strengthen safety measures in the school zones. 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引用次数: 0
摘要
随着社会对涉及儿童的行人事故日益关注,韩国政府宣布了一项计划,要在 2026 年前减少因交通事故死亡的儿童人数。因此,政策制定者应考虑针对学校区域采取各种措施,因为安全的学校人行道对于预防学校周围的交通事故至关重要。小学和幼儿园门口半径 300 米范围内的部分道路被指定为学校区。某些道路在学校区内经常发生交通事故,而另一些道路则在学校区外经常发生交通事故。因此,本研究旨在通过记录各学校区内外发生的不同事故,提供首尔的学校区类型,并按类型提出适当的对策建议。从学校区域中选择半径为 300 米的分析单元后,对每个分析单元的学校区域内外进行了区分。在验证了每个单元的空间自相关性后,热点分析根据每个单元是否存在热点确定了四种类型。类型定义如下A 类--学校区域内或学校区域外均无热点;B 类--仅学校区域外有热点;C 类--仅学校区域内有热点;D 类--学校区域内和学校区域外均有热点。随后进行了案例研究,以验证这些类型。对于 B 类和 C 类,研究结果显示,学校区内外在交通安全设施的安装和环境方面存在差异。因此,B 型需要通过扩大学校区域来改善学校区域外的安全,使其与学校区域内的安全水平相匹配。C 类则意味着需要加强学校区域内的安全措施。最后,对于 D 类,应主要通过单独检查来实施改善安全步行环境的项目。
Analysis of Hotspots in and outside School Zones: A Case Study of Seoul
With growing social concern on pedestrian accidents involving children, the Korean government announced a plan to decrease the number of child deaths due to traffic accidents by 2026. Therefore, policymakers should consider various measures for school zones because a safe school walkway is essential for preventing traffic accidents around schools. Some parts of the roads within a radius of 300 m from elementary school and kindergarten entrances are designated as school zones. Certain roads experience frequent accidents within the school zone, while others experience frequent accidents outside the school zone. Hence, this study aimed to provide school zone types in Seoul by noting different occurrence accidents within and outside each school zone and suggest proper countermeasure by type. After selecting a 300 m radius analysis unit from the school zones, a distinction was made between the school zones and outside for each analysis unit. After verifying the spatial autocorrelation in each unit, hotspot analysis identified four types based on the presence or absence of hotspots in each unit. Types were defined as follows: Type A—no hotspots in school zones or outside the school zones; Type B—hotspots only outside the school zones; Type C—hotspots only the school zones; and Type D—hotspots both in school zones and outside the school zones. Subsequently, a case study was conducted to validate the types. For Types B and C, the results revealed differences in the installation of traffic safety facilities and the environment between within and outside the school zones. Therefore, Type B requires improving safety outside the school zones by expanding school zones to match the safety level within. For Type C, it implies the need to strengthen safety measures in the school zones. Lastly, for Type D, improvement projects for a safe walking environment should be implemented in primarily by conducting separate inspections.