globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0171484
论文题名:
Characteristics of cyclist crashes in Italy using latent class analysis and association rule mining
作者: Gabriele Prati; Marco De Angelis; Víctor Marín Puchades; Federico Fraboni; Luca Pietrantoni
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2017
发表日期: 2017-2-3
卷: 12, 期:2
语种: 英语
英文关键词: Roads ; Spring ; Summer ; Autumn ; Seasons ; Italian people ; Transportation infrastructure ; Road traffic collisions
英文摘要: The factors associated with severity of the bicycle crashes may differ across different bicycle crash patterns. Therefore, it is important to identify distinct bicycle crash patterns with homogeneous attributes. The current study aimed at identifying subgroups of bicycle crashes in Italy and analyzing separately the different bicycle crash types. The present study focused on bicycle crashes that occurred in Italy during the period between 2011 and 2013. We analyzed categorical indicators corresponding to the characteristics of infrastructure (road type, road signage, and location type), road user (i.e., opponent vehicle and cyclist’s maneuver, type of collision, age and gender of the cyclist), vehicle (type of opponent vehicle), and the environmental and time period variables (time of the day, day of the week, season, pavement condition, and weather). To identify homogenous subgroups of bicycle crashes, we used latent class analysis. Using latent class analysis, the bicycle crash data set was segmented into 19 classes, which represents 19 different bicycle crash types. Logistic regression analysis was used to identify the association between class membership and severity of the bicycle crashes. Finally, association rules were conducted for each of the latent classes to uncover the factors associated with an increased likelihood of severity. Association rules highlighted different crash characteristics associated with an increased likelihood of severity for each of the 19 bicycle crash types.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0171484&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/25574
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Department of Psychology, University of Bologna, Bologna, Italy;Department of Psychology, University of Bologna, Bologna, Italy;Department of Psychology, University of Bologna, Bologna, Italy;Department of Psychology, University of Bologna, Bologna, Italy;Department of Psychology, University of Bologna, Bologna, Italy

Recommended Citation:
Gabriele Prati,Marco De Angelis,Víctor Marín Puchades,et al. Characteristics of cyclist crashes in Italy using latent class analysis and association rule mining[J]. PLOS ONE,2017-01-01,12(2)
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