检查宏观层面的交通事故,考虑非线性和时空溢出效应
Wei Zhou1, Pengpeng Xu2, Jiabin Wu3
1Department of Civil & Environmental Engineering, National University of Singapore, 117576, Singapore.
Accident; analysis and prevention
|December 5, 2024
概括
这项研究表明,交通事故预测模型通过包括非线性和时空溢出效应来改进. 了解这些复杂的关系是改善运输安全管理的关键.
科学领域:
- 运输科学 运输科学
- 城市规划 城市规划
- 地理空间分析的研究.
背景情况:
- 传统的交通事故研究往往假定线性和空间依赖性,可能低估了风险.
- 有效的交通安全管理需要了解复杂,非线性和时空撞车影响.
研究的目的:
- 调查交通事故的非线性和时空溢出效应.
- 开发一个先进的模型,用于宏观层面的崩分析,并纳入这些影响.
- 确定关键影响因素及其对车辆撞车事件的影响.
主要方法:
- 使用地理和时间加权的方法来捕捉时空溢出效应.
- 综合内部和溢出因素作为独立变量.
- 采用渐变增强决策树来建模非线性关系,并积累了用于解释的局部效应图.
- 在纽约市 (2016-2019) 使用多种数据来源进行了一项案例研究.
主要成果:
- 通过结合非线性和时空溢出效应,模型性能显著提高.
- 确定了诸如混合土地使用,人行道和交叉口密度等因素的显著非线性效应.
- 突出了建筑密度,自行车停车密度和教育程度等因素的时空溢出效应.
结论:
- 非线性和时空溢出效应对于准确的交通事故分析至关重要.
- 调查结果为制定有针对性的安全对策和政策提供了可操作的见解.
- 强调需要在城市安全规划中开展区域间合作.
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