Investigating injury severity interaction between urban and urban-rural fringe areas: a grouped random parameters seemingly unrelated bivariate probit approach.

IF 2.3 4区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Daiquan Xiao, Quan Yuan, Xuecai Xu, Shibo Zhang
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引用次数: 0

Abstract

Urban-rural integration is the critical process of urbanization, while during this process there are various corresponding problems generated, safety is the most important one, especially at urban-rural fringe areas due to mixed traffic flow and complicated land use. This study intended to investigate the injury severity interaction between urban area and urban-rural fringe area, and explore the correlation within injury severity levels and heterogeneity attributed to unobserved factors. To address the correlation and heterogeneity issues, a grouped random parameters seemingly unrelated bivariate (SUB) probit model was proposed, in which the SUB probit model addressed the correlation of residuals, while the random parameters model accommodated the heterogeneity due to unobserved factors. By comparing the pooled with random parameters models, the results showed that random parameters SUB probit model performed better than the pooled one, and the dataset collected from 2013 to 2017 in Chengdu, China was adopted to illustrate the proposed model. It is found that crash location, speed limit and age of person injured are significant for injury severity in urban and urban-rural fringe areas, but crash form plays a significant role in urban area while number of persons involved should be paid more attention due to injury severity in urban-rural fringe area. Some empirical suggestions are presented to improve the safety in urban and urban-rural fringe areas.

调查城市和城乡边缘地区之间伤害严重程度的交互作用:分组随机参数看似不相关的双变量概率法。
城乡一体化是城市化的关键过程,而在这一过程中会产生各种相应的问题,其中安全问题最为重要,尤其是在城乡边缘地区,由于交通流混杂、土地利用复杂,安全问题更为突出。本研究旨在调查城市地区与城乡边缘地区之间的伤害严重性交互作用,并探讨伤害严重性水平内部的相关性以及由非观测因素导致的异质性。为解决相关性和异质性问题,提出了分组随机参数看似不相关的双变量(SUB)probit 模型,其中 SUB probit 模型解决了残差的相关性问题,而随机参数模型则考虑了未观测因素导致的异质性问题。通过比较集合模型和随机参数模型,结果表明随机参数 SUB probit 模型的性能优于集合模型,并采用 2013 年至 2017 年在中国成都收集的数据集来说明所提出的模型。研究发现,在城市和城乡结合部,碰撞地点、限速和受伤者年龄对受伤严重程度有显著影响,但在城市地区,碰撞形式对受伤严重程度有显著影响,而在城乡结合部,由于受伤严重程度的影响,肇事人数应受到更多关注。本文提出了一些经验性建议,以改善城市和城乡边缘地区的安全状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Injury Control and Safety Promotion
International Journal of Injury Control and Safety Promotion PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
4.40
自引率
13.00%
发文量
48
期刊介绍: International Journal of Injury Control and Safety Promotion (formerly Injury Control and Safety Promotion) publishes articles concerning all phases of injury control, including prevention, acute care and rehabilitation. Specifically, this journal will publish articles that for each type of injury: •describe the problem •analyse the causes and risk factors •discuss the design and evaluation of solutions •describe the implementation of effective programs and policies The journal encompasses all causes of fatal and non-fatal injury, including injuries related to: •transport •school and work •home and leisure activities •sport •violence and assault
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