事故模型

IF 3 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Human and Ecological Risk Assessment Pub Date : 2020-03-06 DOI:10.1201/b17206-8

H. Peltola, R. Kulmala

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引用次数: 6

摘要

在芬兰，交通安全目标是以死亡人数来表示的。交通事故死亡人数应该在十年内减半。通常，致命事故的数量太少，无法建立可靠的模型，但伤害事故的数量足以建立模型。因此，我们使用伤害事故的数量以及事故的平均严重程度(死亡/伤害事故)来估计某些行动对改善道路安全的贡献程度。

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Accident Models

In Finland, the traffic safety objectives are expressed in the number of fatalities. The number of traffic deaths should be halved in almost ten years. Usually the number of fatal accidents is too low for reliable model building, but the number of injury accidents is sufficient for modelling. Hence we use the number of injury accidents together with the average severity of accidents (deaths/injury accidents) to estimate how much some action contributes to road safety improvements.

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来源期刊

Human and Ecological Risk Assessment 环境科学-环境科学

CiteScore

9.60

自引率

2.30%

发文量

审稿时长

2 months

期刊介绍： Human and Ecological Risk Assessment provides a resource for professionals researching and assessing environmental hazards to both humans and ecological systems. The editors expect papers published to be original, of sound science, purposeful for risk analysis (assessment, communication, management) and related areas, well written (in English), and a contribution to the scientific literature. The journal''s emphasis is on publication of papers that contribute to improvements in human and ecological health. The journal is an international, fully peer-reviewed publication that publishes eight issues annually. The journal''s scope includes scientific and technical information and critical analysis in the following areas: -Quantitative Risk Assessment- Comparative Risk Assessment- Integrated Human & Ecological Risk Assessment- Risk Assessment Applications to Human & Ecosystems Health- Exposure Assessment- Environmental Fate Assessment- Multi-Media Assessment- Hazard Assessment- Environmental Epidemiology- Statistical Models and Methods- Methods Development/Improvement- Toxicokinetics Modeling- Animal to Human Extrapolation- Risk Perception/Communication- Risk Management- Regulatory Issues