题名 | Temporal instability of truck volume composition on non-truck-involved crash severity using uncorrelated and correlated grouped random parameters binary logit models with space-time variations |
作者 | |
通讯作者 | Song, Cancan |
发表日期 | 2021-09-01
|
DOI | |
发表期刊 | |
ISSN | 2213-6657
|
EISSN | 2213-6665
|
卷号 | 31 |
摘要 | With the growing demand for inter-city freight transport, proportion of trucks in the freeway traffic has been increasing in China and worldwide in the past decade. There have been serious safety concerns for the prevalence of truck in freeway traffic given its size and weight, and the interferences of unsafe maneuvers of trucks on other traffic. However, existing literatures mainly focus on the crash severity of truck-involved crashes only. It is rare that the effects of the presence of trucks (of various classes) on the crash severity of non-truck-involved crashes (i.e. not involving any truck) are studied. To account for the effect of unobserved heterogeneity, random parameters discrete outcome models have been deployed to model the crash severity. However, the possible correlations between random parameters are seldom considered. This study aims to investigate the role of the presence and prevalence of trucks of various classes on the severity of non-truck involved crashes, with which both the uncorrelated and correlated panel-level space-time-varying heterogeneities are considered. To account for possible temporal instability, the uncorrelated and correlated grouped random parameters binary logit models are established for each separate year, based on the comprehensive crash and traffic data of eight freeway segments in Shandong of China during the period from 2016 to 2019. 4,008 crashes are extracted and grouped with space (i.e. road segment)-time (i.e. time of the day) variations considered. Results indicate that the proposed correlated grouped random parameters model is superior to the uncorrelated grouped random parameters logit model in three out of the four years. Also, correlation in the heterogeneous effects between super-large truck volume and average speed is significant. Moreover, temporal instability is revealed for majority of the factors, to different extents, including the heterogenous ones and volumes of all truck types. Nevertheless, this study addresses and discusses the fundamental issues of the temporally unstable correlation in unobserved heterogeneity between possible factors in crash severity analysis. (C) 2021 Elsevier Ltd. All rights reserved. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
|
学校署名 | 第一
|
资助项目 | National Natural Science Foundation of China[71771113]
; National Key R&D Program of China["2018YFC0807000","2019YFC0810705"]
; Science and Technology Scheme of the Department of Transportation, Shandong, China[2020B202-01]
; Research Grants Council of Hong Kong[25203717]
; Hong Kong Polytechnic University[1-ZE5V]
|
WOS研究方向 | Public, Environmental & Occupational Health
; Transportation
|
WOS类目 | Public, Environmental & Occupational Health
; Transportation
|
WOS记录号 | WOS:000663835400006
|
出版者 | |
EI入藏号 | 20212410498707
|
EI主题词 | Automobiles
; Freight transportation
; Highway accidents
; Logistic regression
|
EI分类号 | Highway Transportation, General:432.1
; Automobiles:662.1
; Heavy Duty Motor Vehicles:663.1
|
来源库 | Web of Science
|
引用统计 |
被引频次[WOS]:41
|
成果类型 | 期刊论文 |
条目标识符 | //www.snoollab.com/handle/2SGJ60CL/240202 |
专题 | 前沿与交叉科学研究院 理学院_统计与数据科学系 |
作者单位 | 1.Southern Univ Sci & Technol, Acad Adv Interdisciplinary Studies, Shenzhen, Peoples R China 2.Southern Univ Sci & Technol, Dept Stat & Data Sci, Shenzhen, Peoples R China 3.Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China 4.Tongji Univ, Minist Educ, Key Lab Rd & Traff Engn, Shanghai, Peoples R China |
第一作者单位 | 前沿与交叉科学研究院; 统计与数据科学系 |
第一作者的第一单位 | 前沿与交叉科学研究院 |
推荐引用方式 GB/T 7714 |
Meng, Fanyu,Sze, N. N.,Song, Cancan,et al. Temporal instability of truck volume composition on non-truck-involved crash severity using uncorrelated and correlated grouped random parameters binary logit models with space-time variations[J]. Analytic Methods in Accident Research,2021,31.
|
APA |
Meng, Fanyu,Sze, N. N.,Song, Cancan,Chen, Tiantian,&Zeng, Yiping.(2021).Temporal instability of truck volume composition on non-truck-involved crash severity using uncorrelated and correlated grouped random parameters binary logit models with space-time variations.Analytic Methods in Accident Research,31.
|
MLA |
Meng, Fanyu,et al."Temporal instability of truck volume composition on non-truck-involved crash severity using uncorrelated and correlated grouped random parameters binary logit models with space-time variations".Analytic Methods in Accident Research 31(2021).
|
条目包含的文件 | 条目无相关文件。 |
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论