根据严重程度对道路交通事故进行空间自相关分析,使用莫兰的I空间统计:尼泊尔的研究2019-2022年
Roshan Kumar Mahato1, Kyaw Min Htike1, Kittipong Sornlorm2
1Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.
BMC public health
|November 7, 2024
概括
尼泊尔的道路交通事故 (RTA) 显示死亡率上升,但空间聚类减少. 土路与更高的RTA严重性有关,需要针对性的安全干预措施.
科学领域:
- 公共卫生 公共卫生
- 运输安全运输安全
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 道路交通事故 (RTA) 构成了全球重大公共卫生挑战.
- 尼泊尔在RTA发生率和严重程度方面面临着相当大的区域差异.
- 本研究涉及尼泊尔从2019-2020财政年度到2021-2022财政年度的RTA.
研究的目的:
- 分析尼泊尔道路交通伤害的空间分布.
- 调查道路类型和地理因素对RTA严重性的影响.
- 确定有针对性的道路安全干预措施的高风险区域.
主要方法:
- 利用了尼泊尔所有77个地区的数据,涵盖了2019-2020至2021-2022财年.
- 使用量子GIS (QGIS) 和GeoDa进行RTAs的空间分析.
- 应用了莫兰的I统计来评估RTA严重性的空间自相关性.
主要成果:
- 总体而言,RTA死亡率从每10万人口的7.70增加到9.89.
- 在研究期间,机的空间聚类减少,在2021-2022财年接近随机分布.
- 土路 (ER) 与较高的RTA率呈现出正相关性,而土路 (BT) 与较高的RTA率呈现出负相关性.
结论:
- 调查结果突出显示,尼泊尔各个地区的RTA严重程度存在显著的空间差异.
- 像 Mustang 和 Mugu 这样的偏远地区表现出高死亡率.
- 了解道路类型的影响对于在尼泊尔制定有效的道路安全战略至关重要.
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