DOAJ Open Access 2023

Brownfield redevelopment evaluation based on structure-process-outcome theory and continuous ordered weighted averaging operator-topology method

He Jian Hu Hao Jiang Haidan Pan Haize Liu Chuan

Abstrak

Abstract As an important part of urban renewal, brownfield restoration and renovation are of great significance to the sustainable development of cities. The structure-process-outcome theory was introduced into this study to improve the rationality and scientific vigor of the redevelopment assessment process and to evaluate whether brownfield sites meet the conditions for redevelopment. Based on this theory, the relationship among structures, processes and outcomes can be well elucidated. Specifically, a good structure should contribute to an effective process, which will increase the possibility of a favorable outcome. The basic conditions, practice principles, and result orientation in the whole procedure of brownfield redevelopment were comprehensively analyzed. In addition, a more complete and reasonable three-level evaluation index system for brownfield redevelopment was established. In order to reduce the subjectivity in the evaluation process, an unbiased scientific brownfield redevelopment evaluation model was constructed using the continuous ordered weighted averaging operator-topology method. The evaluation decision system was applied to the renovation of a tract project in Chengdu, China. The results proved that the model could effectively and accurately evaluate the quality level of the brownfield redevelopment project, and the proposed recommendations can provide a basis for decision-making.

Topik & Kata Kunci

Penulis (5)

H

He Jian

H

Hu Hao

J

Jiang Haidan

P

Pan Haize

L

Liu Chuan

Format Sitasi

Jian, H., Hao, H., Haidan, J., Haize, P., Chuan, L. (2023). Brownfield redevelopment evaluation based on structure-process-outcome theory and continuous ordered weighted averaging operator-topology method. https://doi.org/10.1038/s41598-023-44793-1

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Informasi Jurnal
Tahun Terbit
2023
Sumber Database
DOAJ
DOI
10.1038/s41598-023-44793-1
Akses
Open Access ✓