Abstract
City sustainability evaluation can be formulated as a multi-criteria decision making (MCDM) problem where the interactions and weights of interdependent criteria cannot be subjectively and reliably obtained. This paper develops an objective weighting approach to determining the weights of interdependent criteria in the context of MCDM. Equipped with a novel optimization model, this approach can objectively obtain the interaction coefficients and weights of the criteria on a multi-level hierarchy. An empirical study on the sustainability performance evaluation of 13 cities in China is conducted to illustrate how the approach works. The result shows that the approach can reflect the performance divergence of the cities on each criterion and ensure that the evaluation result is not affected by the inconsistency of subjective judgments. This approach is indeed a new contribution to the methodological development of MCDM research and to the practical application of city sustainability evaluation.
| Original language | English |
|---|---|
| Pages (from-to) | 491-499 |
| Number of pages | 9 |
| Journal | Journal of Cleaner Production |
| Volume | 131 |
| DOIs | |
| Publication status | Published - 10 Sep 2016 |
Keywords
- Multicriteria decision making
- City sustainability
- Objective weights
- Interdependent criteria
Cite this
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City sustainability evaluation using multi-criteria decision making with objective weights of interdependent criteria. / Zhang, Ling; Xu, Yan; Yeh, Chung-Hsing; Liu, Yao; Zhou, Dequn.
In: Journal of Cleaner Production, Vol. 131, 10.09.2016, p. 491-499.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - City sustainability evaluation using multi-criteria decision making with objective weights of interdependent criteria
AU - Zhang, Ling
AU - Xu, Yan
AU - Yeh, Chung-Hsing
AU - Liu, Yao
AU - Zhou, Dequn
PY - 2016/9/10
Y1 - 2016/9/10
N2 - City sustainability evaluation can be formulated as a multi-criteria decision making (MCDM) problem where the interactions and weights of interdependent criteria cannot be subjectively and reliably obtained. This paper develops an objective weighting approach to determining the weights of interdependent criteria in the context of MCDM. Equipped with a novel optimization model, this approach can objectively obtain the interaction coefficients and weights of the criteria on a multi-level hierarchy. An empirical study on the sustainability performance evaluation of 13 cities in China is conducted to illustrate how the approach works. The result shows that the approach can reflect the performance divergence of the cities on each criterion and ensure that the evaluation result is not affected by the inconsistency of subjective judgments. This approach is indeed a new contribution to the methodological development of MCDM research and to the practical application of city sustainability evaluation.
AB - City sustainability evaluation can be formulated as a multi-criteria decision making (MCDM) problem where the interactions and weights of interdependent criteria cannot be subjectively and reliably obtained. This paper develops an objective weighting approach to determining the weights of interdependent criteria in the context of MCDM. Equipped with a novel optimization model, this approach can objectively obtain the interaction coefficients and weights of the criteria on a multi-level hierarchy. An empirical study on the sustainability performance evaluation of 13 cities in China is conducted to illustrate how the approach works. The result shows that the approach can reflect the performance divergence of the cities on each criterion and ensure that the evaluation result is not affected by the inconsistency of subjective judgments. This approach is indeed a new contribution to the methodological development of MCDM research and to the practical application of city sustainability evaluation.
KW - Multicriteria decision making
KW - City sustainability
KW - Objective weights
KW - Interdependent criteria
UR - http://www.scopus.com/inward/record.url?scp=84969560157&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2016.04.153
DO - 10.1016/j.jclepro.2016.04.153
M3 - Article
VL - 131
SP - 491
EP - 499
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
SN - 0959-6526
ER -