{"title":"宾西法尼亚州两车道乡村公路通行区路段的安全性能:基于因果推理和未观察异质性模型的碰撞修正因素比较","authors":"Prakash Poudel, Eric T. Donnell, Vikash V. Gayah","doi":"10.1016/j.aap.2025.108165","DOIUrl":null,"url":null,"abstract":"<div><div>Passing zones on two-lane rural highways are marked based on minimum passing sight distance criteria associated with the 85th-percentile speed or posted speed limit along the roadway segment. Although passing-related crashes account for a relatively small proportion of total reported crashes on two-lane rural highways, past research suggests that they tend to result in more severe injuries than non-passing-related crashes. However, the safety performance of roadway segments with passing zones has not been quantified or compared to segments with no passing zones. The purpose of this paper is to use data from Pennsylvania to compare the safety performance of two-lane rural highways with and without the presence of passing zone markings. Total crashes, fatal plus injury crashes, and target crashes are used to estimate crash modification factors (CMFs) for the presence of passing zones. A second objective of the paper is to compare the CMFs developed using two different methodological approaches: the propensity scores-potential outcomes causal inference framework and unobserved heterogeneity (random parameters) models. The results indicate that the CMFs developed using these two approaches are similar, although the CMFs from the unobserved heterogeneity models tended to estimate slightly fewer expected crashes in passing zone segments than the causal inference method. When compared to road segments without passing zones, those with passing zones experienced fewer total crashes, fatal and injury crashes, and head-on plus sideswipe crashes by 11.2 %, 12.2 %, and 10.6 %, respectively, based on the causal inference method.</div></div>","PeriodicalId":6926,"journal":{"name":"Accident; analysis and prevention","volume":"220 ","pages":"Article 108165"},"PeriodicalIF":5.7000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Safety performance of passing zone segments on two-lane rural highways in Pennsylvania: Comparing crash modification factors from causal inference and unobserved heterogeneity models\",\"authors\":\"Prakash Poudel, Eric T. Donnell, Vikash V. Gayah\",\"doi\":\"10.1016/j.aap.2025.108165\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Passing zones on two-lane rural highways are marked based on minimum passing sight distance criteria associated with the 85th-percentile speed or posted speed limit along the roadway segment. Although passing-related crashes account for a relatively small proportion of total reported crashes on two-lane rural highways, past research suggests that they tend to result in more severe injuries than non-passing-related crashes. However, the safety performance of roadway segments with passing zones has not been quantified or compared to segments with no passing zones. The purpose of this paper is to use data from Pennsylvania to compare the safety performance of two-lane rural highways with and without the presence of passing zone markings. Total crashes, fatal plus injury crashes, and target crashes are used to estimate crash modification factors (CMFs) for the presence of passing zones. A second objective of the paper is to compare the CMFs developed using two different methodological approaches: the propensity scores-potential outcomes causal inference framework and unobserved heterogeneity (random parameters) models. The results indicate that the CMFs developed using these two approaches are similar, although the CMFs from the unobserved heterogeneity models tended to estimate slightly fewer expected crashes in passing zone segments than the causal inference method. When compared to road segments without passing zones, those with passing zones experienced fewer total crashes, fatal and injury crashes, and head-on plus sideswipe crashes by 11.2 %, 12.2 %, and 10.6 %, respectively, based on the causal inference method.</div></div>\",\"PeriodicalId\":6926,\"journal\":{\"name\":\"Accident; analysis and prevention\",\"volume\":\"220 \",\"pages\":\"Article 108165\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accident; analysis and prevention\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0001457525002519\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ERGONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accident; analysis and prevention","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0001457525002519","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ERGONOMICS","Score":null,"Total":0}
Safety performance of passing zone segments on two-lane rural highways in Pennsylvania: Comparing crash modification factors from causal inference and unobserved heterogeneity models
Passing zones on two-lane rural highways are marked based on minimum passing sight distance criteria associated with the 85th-percentile speed or posted speed limit along the roadway segment. Although passing-related crashes account for a relatively small proportion of total reported crashes on two-lane rural highways, past research suggests that they tend to result in more severe injuries than non-passing-related crashes. However, the safety performance of roadway segments with passing zones has not been quantified or compared to segments with no passing zones. The purpose of this paper is to use data from Pennsylvania to compare the safety performance of two-lane rural highways with and without the presence of passing zone markings. Total crashes, fatal plus injury crashes, and target crashes are used to estimate crash modification factors (CMFs) for the presence of passing zones. A second objective of the paper is to compare the CMFs developed using two different methodological approaches: the propensity scores-potential outcomes causal inference framework and unobserved heterogeneity (random parameters) models. The results indicate that the CMFs developed using these two approaches are similar, although the CMFs from the unobserved heterogeneity models tended to estimate slightly fewer expected crashes in passing zone segments than the causal inference method. When compared to road segments without passing zones, those with passing zones experienced fewer total crashes, fatal and injury crashes, and head-on plus sideswipe crashes by 11.2 %, 12.2 %, and 10.6 %, respectively, based on the causal inference method.
期刊介绍:
Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.