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Impact of quantitative safety targets on road fatality reduction: an empirical support toward governance plan.
Cui, Haizhou; Guo, Yuliang; Li, Yuchen; Zhang, Jianwei; Wang, Yida; Yang, Lin; Hu, Jiayi; Wong, Hak Kei; Bai, Yuxuan; Ma, Yang; Chen, Faan.
Afiliación
  • Cui H; School of Economics, University of Sydney, Camperdown, NSW, Australia.
  • Guo Y; Division of Arts and Humanities, Las Positas College, Livermore, CA, United States.
  • Li Y; School of Health Sciences, University of Manchester, Manchester, United Kingdom.
  • Zhang J; College of Arts and Sciences, Georgia State University, Atlanta, GA, United States.
  • Wang Y; Harris School of Public Policy, University of Chicago, Chicago, IL, United States.
  • Yang L; Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, United States.
  • Hu J; Department of Mathematics, Columbia University, New York, NY, United States.
  • Wong HK; Faculty of Life Sciences, University College London, London, United Kingdom.
  • Bai Y; Department of Biomedical Engineering, University of California at Irvine, Irvine, CA, United States.
  • Ma Y; School of Culture, Education, and Human Development, New York University, New York, NY, United States.
  • Chen F; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States.
Front Public Health ; 11: 1271328, 2023.
Article en En | MEDLINE | ID: mdl-38026312
ABSTRACT

Introduction:

The role of quantitative target setting has become an important topic in debates on the improvement of road safety performance. Specifically, there are questions regarding the relationship between quantitative safety targets and their actual effects. Although previous studies have provided important insights into this subject, their empirical findings have largely been equivocal, and research on this topic remains inadequate.

Methods:

Based on panel data representing 20 years of observations from 34 OECD member states, we employed nonlinear and linear panel models to investigate whether and how the attributes of quantitative road safety targets (i.e., target ambition and duration) influence their success (i.e., target completion status and rate).

Results:

The results indicate that a quantitative target with a higher level of ambition is associated with a lower likelihood and rate of completion, whereas there is no support for a connection between target duration and final completion rate. This suggests that an excessively ambitious target does not necessarily result in better road safety performance and is detrimental to achieving expected fatality reductions.

Conclusion:

From an empirical perspective, this study revealed a potential interaction effect between quantitative road safety targets and practical fatality reduction performance, providing government officials and policymakers with essential references for future practices on target setting and governance planning in regard to public health.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_accidentes_transito Asunto principal: Accidentes de Tránsito Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_accidentes_transito Asunto principal: Accidentes de Tránsito Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article País de afiliación: Australia
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