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A new hybrid modified MADM model for the potential evaluation of a comprehensive land consolidation project (LCP) toward achieving sustainable development

Author

Listed:
  • Sheng-Hau Lin
  • Kung-Ming Liu
  • Jing-Chzi Hsieh
  • Chiao-Lun Hu
  • Xianjin Huang
  • Gwo-Hshiung Tzeng

Abstract

The potential evaluations of land consolidation projects (LCPs) are core in ex-ante evaluations to ensure that resource allocations are effective for achieving sustainable development. There are some problems with the unrealistic assumptions of the real world in these evaluations, such as the assumed independence of the criteria/dimensions in real-world problems. In this research, to fill this performance gap, a new hybrid modified MADM model was developed to construct an evaluation framework for comprehensive LCPs, covering three dimensions and ten criteria. Two LCPs real cases were used as empirical cases. The results of the DEMATEL method indicate that to achieve sustainable rural development through LCPs, “Production dimension (D1)” and “Ecological dimensions (D3)” having the characteristics that affect others should be the focus, although the DANP suggests that the “Life dimension (D2)” has the highest influence weight. The modified VIKOR suggests that Case A has more potential than Case B.

Suggested Citation

  • Sheng-Hau Lin & Kung-Ming Liu & Jing-Chzi Hsieh & Chiao-Lun Hu & Xianjin Huang & Gwo-Hshiung Tzeng, 2020. "A new hybrid modified MADM model for the potential evaluation of a comprehensive land consolidation project (LCP) toward achieving sustainable development," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 63(9), pages 1585-1615, July.
  • Handle: RePEc:taf:jenpmg:v:63:y:2020:i:9:p:1585-1615
    DOI: 10.1080/09640568.2019.1673152
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    Cited by:

    1. Goran Marinković & Zoran Ilić & Milan Trifković & Jelena Tatalović & Marko Božić, 2022. "Optimization Methods as a Base for Decision Making in Land Consolidation Projects Ranking," Land, MDPI, vol. 11(9), pages 1-12, September.
    2. Lin, Sheng-Hau & Zhao, Xiaofeng & Wu, Jiuxing & Liang, Fachao & Li, Jia-Hsuan & Lai, Ren-Ji & Hsieh, Jing-Chzi & Tzeng, Gwo-Hshiung, 2021. "An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    3. Jichang Cui & Yanbo Qu & Yan Li & Lingyun Zhan & Guancheng Guo & Xiaozhen Dong, 2022. "Reconstruction of Rural Settlement Patterns in China: The Role of Land Consolidation," Land, MDPI, vol. 11(10), pages 1-20, October.
    4. Schulze-González, Erik & Pastor-Ferrando, Juan-Pascual & Aragonés-Beltrán, Pablo, 2023. "Clustering and reference value for assessing influence in analytic network process without pairwise comparison matrices: Study of 17 real cases," Operations Research Perspectives, Elsevier, vol. 10(C).
    5. Janus, Jarosław & Ertunç, Ela, 2022. "Towards a full automation of land consolidation projects: Fast land partitioning algorithm using the land value map," Land Use Policy, Elsevier, vol. 120(C).
    6. Lin, Sheng-Hau & Huang, Xianjin & Fu, Guole & Chen, Jia-Tsong & Zhao, Xiaofeng & Li, Jia-Hsuan & Tzeng, Gwo-Hshiung, 2021. "Evaluating the sustainability of urban renewal projects based on a model of hybrid multiple-attribute decision-making," Land Use Policy, Elsevier, vol. 108(C).

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