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author:

Chen, Lei (Chen, Lei.) [1] | Gao, Yan (Gao, Yan.) [2] | Li, Mei-Juan (Li, Mei-Juan.) [3] | Wang, Ying-Ming (Wang, Ying-Ming.) [4] | Liao, Li-Huan (Liao, Li-Huan.) [5]

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EI

Abstract:

The number of fatalities in road traffic accidents shows a gradual upward trend in recent years, and this has brought great pressure on the realization of China's safety objectives. Meanwhile, how to make a scientific and feasible path for achieving the safety objective also poses a great challenge to the existing methods. Therefore, the paper introduces the objective constraint to develop a new inverse data envelopment analysis (DEA) model with undesirable outputs for ensuring the realization of safety objective under the current technical level. Subsequently, two safety objectives and two additional objectives are defined for China's road transportation according to the actual requirements of decision makers, and then their realization paths are determined by using the new inverse DEA model, respectively. By analyzing the connections and differences of different objectives and their realization paths, some useful implications are summarized to promote the realization of the safety objective of China's road transportation: First, identifying the requirements of decision makers is critical for making the realization path of safety objective; second, reducing desirable outputs, increasing inputs, and improving safety efficiency are the efficient ways to achieve safety objective; third, the influence of technology heterogeneity should be properly considered in the process of making the realization path of safety objective. In general, the paper provides a powerful decision support for achieving the safety objective of China's road transportation. © 2021 Elsevier Ltd

Keyword:

Accident prevention Data envelopment analysis Decision making Decision support systems Inverse problems Motor transportation Roads and streets

Community:

  • [ 1 ] [Chen, Lei]Decision Science Institute, School of Economics & Management, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Gao, Yan]School of Economics & Management, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Li, Mei-Juan]School of Economics & Management, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Wang, Ying-Ming]Decision Science Institute, School of Economics & Management, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Wang, Ying-Ming]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Liao, Li-Huan]Law School, Fuzhou University, Fuzhou; 350108, China

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Source :

Safety Science

ISSN: 0925-7535

Year: 2021

Volume: 142

6 . 3 9 2

JCR@2021

4 . 7 0 0

JCR@2023

ESI HC Threshold:105

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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