A DEA–based efficiency evaluation method for metro-led urban underground public space

• Indicators are built for inputs and outputs of metro-led urban underground public space (UUPS). • A quantitative method of efficiency evaluation of metro-led UUPSs is developed and validated. • Efficiencies of metro-led UUPSs in central Shanghai are measured. • Cruxes of the inefficiencies are analyzed. Despite the thriving development of metro-led urban underground public space (UUPS) and its significant benefits and costs, there remains a critical research gap in understanding and evaluating its efficiency. This paper intends to improve the post-evaluation system of metro-led UUPS by proposing an efficiency evaluation framework based on data envelopment analysis. The public and the private sectors are taken as different coexisting decision-makers, and a pair of linear programming is built accordingly (with different assignments of discretionary and non-discretionary inputs) for each decision-making unit. The directional vector is calculated based on CRITIC weights to model the searching process of referential cases in terms of urban renewal. The empirical study of twenty metro-led UUPSs in central Shanghai reveals that (1) the proposed evaluation framework is feasible and discriminative, (2) the efficient form of metro-led UUPS in Shanghai is mainly limited to a compact pattern with a low proportion of pure public space, (3) the essential solution to promote efficiencies is closer cooperation between different parties, and (4) efficiency evaluation is crucial to avoiding the “the-more-the-better” type of development. The findings of this study are expected to shed light on the future planning and operation of metro-led UUPS.

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Publication Details

Journal
Underground Space
Published
2025-12-13
DOI
https://doi.org/10.1016/j.undsp.2025.02.013
Primary Topic
Underground infrastructure and sustainability
Type
article
Field-Weighted Citation Impact
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article

A DEA–based efficiency evaluation method for metro-led urban underground public space

Ziyun Zhang, Chen-Xiao Ma, Yong-Kang Qiao, Fei Peng
Underground Space
Underground infrastructure and sustainability
article

A DEA–based efficiency evaluation method for metro-led urban underground public space

Ziyun Zhang, Chen-Xiao Ma, Yong-Kang Qiao, Fei Peng
article en

Abstract

• Indicators are built for inputs and outputs of metro-led urban underground public space (UUPS). • A quantitative method of efficiency evaluation of metro-led UUPSs is developed and validated. • Efficiencies of metro-led UUPSs in central Shanghai are measured. • Cruxes of the inefficiencies are analyzed. Despite the thriving development of metro-led urban underground public space (UUPS) and its significant benefits and costs, there remains a critical research gap in understanding and evaluating its efficiency. This paper intends to improve the post-evaluation system of metro-led UUPS by proposing an efficiency evaluation framework based on data envelopment analysis. The public and the private sectors are taken as different coexisting decision-makers, and a pair of linear programming is built accordingly (with different assignments of discretionary and non-discretionary inputs) for each decision-making unit. The directional vector is calculated based on CRITIC weights to model the searching process of referential cases in terms of urban renewal. The empirical study of twenty metro-led UUPSs in central Shanghai reveals that (1) the proposed evaluation framework is feasible and discriminative, (2) the efficient form of metro-led UUPS in Shanghai is mainly limited to a compact pattern with a low proportion of pure public space, (3) the essential solution to promote efficiencies is closer cooperation between different parties, and (4) efficiency evaluation is crucial to avoiding the “the-more-the-better” type of development. The findings of this study are expected to shed light on the future planning and operation of metro-led UUPS.

Underground SpaceVol. 27
Openalex Percentile: Top 57%
Underground infrastructure and sustainability
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