The Performance Evaluation and Improvement of Urban Taxi Firms Using Data Envelopment Analysis and Benchmarking Approach

  • Zhu BaiEmail author
  • Shuai Bian
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 890)


This paper aims to evaluate the performance of taxi firms and discuss its improvement for those underperforming taxi firms. The performance measured from the operational efficiency and service effectiveness perspectives has a significant impact on the input–output balance in the taxi market and economic benefits and social welfare. Based on this, we propose Data Envelopment Analysis (DEA) method to achieve the measurement of performance and adopt the benchmarking approach to complete its improvement. In doing so, this paper first discusses how to make the appropriate selections in terms of decision-making units, DEA models, and input–output indicators. The input-oriented DEA models are then applied to assess different types of performance indicators. And moreover, to provide the practical improvement recommendations, the targets assigned by the benchmarking approach and the gaps between targets and current values are also presented and the future effort directions are thus pointed out. Our results suggest that assessing and improving the performance of taxi firms are conductive to make and carry out management strategies in the taxi market.


Data Envelopment Analysis Bench marking Taxi performance evaluation 


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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Transportation EngineeringShenyang Jianzhu UniversityShenyangChina

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