Environmental Science and Pollution Research

, Volume 26, Issue 18, pp 17911–17917 | Cite as

A multi-attribute decision-making model for the evaluation of uncertainties in traffic pollution control planning

  • Ming WeiEmail author
  • Bo Sun
  • Han Wang
  • Zhihuo Xu
Environmental Pollution and Energy Management


The evaluation of traffic emissions control efficiency from various levels is a key issue while selecting an optimal plan for the sustainable development of urban transportation. The conventional multi-criteria evaluation methods cannot deal with the determination and uncertainty of each indicator, and ignore influence of the decision-maker’s risk attitude on the evaluation results. This study proposed the use of a multi-attribute decision-making model to evaluate the traffic pollution control operational efficiency by integrating 11 hybrid-type indicators related to the plan implementation, traffic flow, and emissions. It also revealed the relationship between the preference of each decision-maker on these evaluation indicators and the threshold changes in the emissions control efficiency ranking. Case studies performed on the four plans showed that the evaluation value of emissions control efficiency for each plan was related to the decision-maker’s risk attitude, and the efficiency ranking was decided by their threshold contact degrees.


Evaluation model Hybrid-type indicators Multi-attribute decision-making model The decision-maker’s risk attitude Traffic pollution control Uncertain 


Funding information

This paper is funded by the Jiangsu Provincial Government Scholarship Program, the National Natural Science Foundation of China (61503201), Natural Science Foundation of the Jiangsu Province in China (BK20161280), Humanities and Social Sciences Foundation of the Ministry of Education in China (16YJCZH086), Natural Science Foundation of the Jiangsu High Education (15KJB580011, 17KJB520029), and Nantong Science and Technology Innovation Program (GY12016020,GY12016019); the open fund for the Key Laboratory for traffic and transportation security of Jiangsu Province (TTS2016-01) Project of excellent graduate innovation in Hebei province (2016348).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.School of TransportationNantong UniversityNantongChina
  2. 2.School of Civil EngineeringHebei University of TechnologyTianjinChina

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