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author:

Chen, Lei (Chen, Lei.) [1] (Scholars:陈磊) | Gao, Yan (Gao, Yan.) [2] | Li, Mei-Juan (Li, Mei-Juan.) [3] (Scholars:李美娟) | Wang, Ying-Ming (Wang, Ying-Ming.) [4] (Scholars:王应明) | Liao, Li-Huan (Liao, Li-Huan.) [5] (Scholars:廖丽环)

Indexed by:

SSCI EI SCIE

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.

Keyword:

Data envelopment analysis Inverse Realization path Road transportation Safety objective Undesirable output

Community:

  • [ 1 ] [Chen, Lei]Fuzhou Univ, Sch Econ & Management, Decis Sci Inst, Fuzhou 350108, Peoples R China
  • [ 2 ] [Wang, Ying-Ming]Fuzhou Univ, Sch Econ & Management, Decis Sci Inst, Fuzhou 350108, Peoples R China
  • [ 3 ] [Gao, Yan]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China
  • [ 4 ] [Li, Mei-Juan]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China
  • [ 5 ] [Wang, Ying-Ming]Fuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350108, Peoples R China
  • [ 6 ] [Liao, Li-Huan]Fuzhou Univ, Law Sch, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • 廖丽环

    [Liao, Li-Huan]Fuzhou Univ, Law Sch, Fuzhou 350108, Peoples R 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 Discipline: ENGINEERING;

ESI HC Threshold:105

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 24

SCOPUS Cited Count: 23

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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