基于多尺度地理加权回归的移动车辆碰撞和固定物体碰撞的空间分析
Xiao Tang1, Ronghui Bi1, Zongyao Wang1
1School of Maritime Economics and Management, Dalian Maritime University, 1 Linghai Road, Dalian 116026, China; Collaborative Innovation Center for Transport Studies, Dalian Maritime University, 1 Linghai Road, Dalian 116026, China.
Accident; analysis and prevention
|May 31, 2023
概括
这项研究揭示了城市地区移动车辆和固定物体交通事故的类似空间模式. 了解这些模式和影响道路网络和地形斜率等因素可以提高交通安全.
科学领域:
- 城市规划是城市规划.
- 运输工程 运输工程 运输工程
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 交通事故与城市特征有关,但固定物体碰撞模式尚不清楚.
- 现有的空间分析工具尚未完全探索不同类型的碰撞.
研究的目的:
- 分析和比较空间特征,以及在中国大连发生的移动车辆和固定物体碰撞的发生情况.
- 调查各种地理和社会经济因素对这些事故类型的影响.
- 评估多尺度地理加权回归 (MGWR) 对于城市交通安全分析的有效性.
主要方法:
- 大连的机数据被汇总到分区级别.
- 校准了多个尺度的地理加权回归 (MGWR) 模型.
- 分析了空间模式和道路网络,土地利用和人口变量的影响.
主要成果:
- 移动车辆和固定物体的撞车都表现出类似的集群模式,重叠的高风险区域.
- 解释性变量,如道路网络和土地使用,通常对两种事故类型都有类似的空间影响.
- 固定对象的崩更多地受到节点数的影响,而工业区的POI入口/出口数量减少了风险. 地形的斜率降低了两种类型的撞车风险,特别是市中心.
结论:
- 通过考虑变量特定的影响尺度,MGWR提供了比传统GWR更好的性能.
- 这些发现有助于运输当局识别高风险区域,并了解有助于针对性安全干预的因素.
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