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Evaluation of urban public transport service satisfaction degree in cold regions' winter based on DEA method

  • Xiao Wei Hu
  • , Yan Bo Wei*
  • *Corresponding author for this work
  • School of Transportation Science and Engineering, Harbin Institute of Technology
  • Shanghai Municipal Engineering Design General Institute

Research output: Contribution to journalArticlepeer-review

Abstract

The complicated climatic conditions have a great impact on the operations and services of urban public transport in cold regions' winter. According to the characters of urban public transport service, the interests and needs of travelers were considered, and the bus service satisfaction was treated as the evaluation criteria, and the data envelopment analysis method (DEA) was adopted to evaluate the service satisfaction of bus lines. Based on structural equation model, the evaluation index was screened and the questionnaire survey data was applied to build the C2R-DEA model, which the evaluation score was obtained, and the extent to which those underperforming units were improved. Moreover, a cross-efficiency model was introduced to implement an accurate ranking among decision making units. Finally from the prospective of bus operators and managers, suggestions for improving the bus service satisfaction in cold regions were provided.

Original languageEnglish
Pages (from-to)1566-1573
Number of pages8
JournalBeijing Gongye Daxue Xuebao / Journal of Beijing University of Technology
Volume41
Issue number10
DOIs
StatePublished - 1 Oct 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Cold regions
  • Data envelopment analysis (DEA)
  • Service satisfaction degree
  • Urban public transport

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