IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p3805-d1075388.html
   My bibliography  Save this article

Assessing the Land Reclamation Suitability of Beam Fabrication and Storage Yard in Railway Construction: An AHP-MEA Method

Author

Listed:
  • Baoquan Cheng

    (School of Civil Engineering, Central South University, Changsha 410083, China
    Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong 999077, China)

  • Jianchang Li

    (Imperial College Business School, Imperial College London, London SW7 2AZ, UK)

  • Jingfang Tao

    (School of Civil Engineering, Central South University, Changsha 410083, China)

  • Jianling Huang

    (School of Civil Engineering, Central South University, Changsha 410083, China)

  • Huihua Chen

    (School of Civil Engineering, Central South University, Changsha 410083, China)

Abstract

Railway construction contributes to socio-economic development but causes the occupation and destruction of land resources. How to effectively restore the temporary land and achieve efficient and rational reuse therefore becomes particularly important. The beam fabrication and storage yard (BFSY), as a large temporary facility during railway construction, occupies a large area of land. However, BFSYs damage the land in the way of pressing and may harden the ground to a high degree due to the use of high-density pile foundations, adversely affecting the soil properties. Therefore, this research aims to develop a model for evaluating the land reclamation suitability (LRS) of BFSY. The LRS evaluation indicator system of BFSY was firstly constructed based on the literature review and expert interviews. Then, an indicator-based model for assessing the LRS of BFSY was developed by integrating the analytic hierarchy process (AHP) model and the matter-element analysis (MEA) model. A case project in China was chosen to demonstrate and validate the developed model, and results show that the proposed model can rationally evaluate the LRS of BFSY in railway construction. The findings of this research enrich the knowledge system of sustainable railway construction and guide construction managers to conduct practical suitability assessments of land reclamation.

Suggested Citation

  • Baoquan Cheng & Jianchang Li & Jingfang Tao & Jianling Huang & Huihua Chen, 2023. "Assessing the Land Reclamation Suitability of Beam Fabrication and Storage Yard in Railway Construction: An AHP-MEA Method," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:3805-:d:1075388
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/3805/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/5/3805/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hendrychová, Markéta & Svobodova, Kamila & Kabrna, Martin, 2020. "Mine reclamation planning and management: Integrating natural habitats into post-mining land use," Resources Policy, Elsevier, vol. 69(C).
    2. Panagiotis K. Marhavilas & Michael G. Tegas & Georgios K. Koulinas & Dimitrios E. Koulouriotis, 2020. "A Joint Stochastic/Deterministic Process with Multi-Objective Decision Making Risk-Assessment Framework for Sustainable Constructions Engineering Projects—A Case Study," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    3. Alary, Véronique & Aboul-Naga, Adel & Osman, Mona A. & Daoud, Ibrahim & Abdelraheem, Sahar & Salah, Ehab & Juanes, Xavier & Bonnet, Pascal, 2018. "Desert land reclamation programs and family land dynamics in the Western Desert of the Nile Delta (Egypt), 1960–2010," World Development, Elsevier, vol. 104(C), pages 140-153.
    4. Lendering, K.T. & Jonkman, S.N. & van Gelder, P.H.A.J.M. & Peters, D.J., 2015. "Risk-based optimization of land reclamation," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 193-203.
    5. Huihua Chen & Hujun Li & Yige Wang & Baoquan Cheng, 2020. "A Comprehensive Assessment Approach for Water-Soil Environmental Risk during Railway Construction in Ecological Fragile Region Based on AHP and MEA," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    6. Xueyi Yu & Chi Mu & Dongdong Zhang, 2020. "Assessment of Land Reclamation Benefits in Mining Areas Using Fuzzy Comprehensive Evaluation," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    7. Guobin Tang & Zizhao Zhang & Qianli Lv & Ruihua Hao & Kaikai Wang, 2020. "Suitability Evaluation for Land Reclamation of Nonmetallic Mines in Xinjiang, China," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, May.
    8. Jiali Wang & Fuqiang Zhao & Jian Yang & Xiaoshu Li, 2017. "Mining Site Reclamation Planning Based on Land Suitability Analysis and Ecosystem Services Evaluation: A Case Study in Liaoning Province, China," Sustainability, MDPI, vol. 9(6), pages 1-19, May.
    9. Renyi Yang & Changbiao Zhong, 2022. "Land Suitability Evaluation of Sorghum Planting in Luquan County of Jinsha River Dry and Hot Valley Based on the Perspective of Sustainable Development of Characteristic Poverty Alleviation Industry," Agriculture, MDPI, vol. 12(11), pages 1-23, November.
    10. Ren, Xiaohong & Chen, Zhenhua & Wang, Fang & Dan, Ting & Wang, Wei & Guo, Xiaotong & Liu, Chunhua, 2020. "Impact of high-speed rail on social equity in China: Evidence from a mode choice survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 422-441.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amirshenava, Sina & Osanloo, Morteza, 2022. "Strategic planning of post-mining land uses: A semi-quantitative approach based on the SWOT analysis and IE matrix," Resources Policy, Elsevier, vol. 76(C).
    2. Yujuan Zhai & Libo Hao & Yanhong Zhang & Ye Li & Zhaoli Liu, 2021. "Wetland Biodiversity Disturbance Evaluation Induced by a Water Conservancy Project in the Flooded Plain of the Huolin River Lower Reaches," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    3. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    4. Yan, Sen & Sun, Xinyu & Zhang, Yurong, 2024. "High-speed railway ripples on the greenness: Insight from urban green vegetation cover," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    5. Aparna Choudhury & Jiumoni Lahkar & Binoy Kumar Saikia & Anil Kumar Anil Singh & Channakeshavaiah Chikkaputtaiah & Hari Prasanna Deka Boruah, 2021. "Strategies to address coal mine-created environmental issues and their feasibility study on northeastern coalfields of Assam, India: a review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 9667-9709, July.
    6. Suleyman Enes Hacibektasoglu & Bulent Mertoglu & Hakan Tozan, 2021. "Application of a Novel Hybrid f-SC Risk Analysis Method in the Paint Industry," Sustainability, MDPI, vol. 13(24), pages 1-23, December.
    7. Maria Iglesias-Mendoza & Akilu Yunusa-Kaltungo & Sara Hadleigh-Dunn & Ashraf Labib, 2021. "Learning How to Learn from Disasters through a Comparative Dichotomy Analysis: Grenfell Tower and Hurricane Katrina Case Studies," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    8. Christina G. Siontorou, 2023. "Fair Development Transition of Lignite Areas: Key Challenges and Sustainability Prospects," Sustainability, MDPI, vol. 15(16), pages 1-14, August.
    9. Florence Jacquet & A Aboul-Naga & Bernard Hubert, 2020. "The contribution of ARIMNet to address livestock systems resilience in the Mediterranean region," Post-Print hal-03625860, HAL.
    10. Ronyastra, I Made & Saw, Lip Huat & Low, Foon Siang, 2023. "A review of methods for integrating risk management and multicriteria decision analysis in financial feasibility for post-coal-mining land usage selection," Resources Policy, Elsevier, vol. 86(PB).
    11. da Silva Junior, Carlos Antonio & Coutinho, Andressa Dias & de Oliveira-Júnior, José Francisco & Teodoro, Paulo Eduardo & Lima, Mendelson & Shakir, Muhammad & de Gois, Givanildo & Johann, Jerry Adrian, 2018. "Analysis of the impact on vegetation caused by abrupt deforestation via orbital sensor in the environmental disaster of Mariana, Brazil," Land Use Policy, Elsevier, vol. 76(C), pages 10-20.
    12. Hiramatsu, Tomoru, 2023. "Inter-metropolitan regional migration galvanized by high-speed rail: A simulation analysis of the Linear Chuo Shinkansen line in Japan," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    13. Jie Wang & Li Li & Hang Yu, 2022. "Application of Domestic High-Resolution Satellite Data in Remote Sensing Geological Survey of the Metallogenic Belt in Zhejiang Province," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    14. Francesca Pagliara & Yoshitsugu Hayashi & Kallidaikurichi Seetha Ram, 2022. "High-Speed Rail, Equity and Inclusion," Sustainability, MDPI, vol. 14(11), pages 1-4, May.
    15. Marc Bascompta & Lluís Sanmiquel & Carla Vintró & Mohammad Yousefian, 2022. "Corporate Social Responsibility Index for Mine Sites," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    16. Isler, Cassiano Augusto & Blumenfeld, Marcelo & Caldeira, Gabriel Pereira & Roberts, Clive, 2024. "Long-Distance railway mode choice in Brazil: Evidence from a discrete choice experiment," Research in Transportation Economics, Elsevier, vol. 104(C).
    17. Huang, Yan & Zong, Huiming, 2022. "The intercity railway connections in China: A comparative analysis of high-speed train and conventional train services," Transport Policy, Elsevier, vol. 120(C), pages 89-103.
    18. Yuan Li & Martin Kleimann & Hans-Jörg Schmerer, 2021. "Estimating causal effects of BRI infrastructure projects based on the synthetic control method," Asia Europe Journal, Springer, vol. 19(1), pages 103-129, December.
    19. Wang, Tianyu & Wang, Zhenhua & Guo, Li & Zhang, Jinzhu & Li, Wenhao & He, Huaijie & Zong, Rui & Wang, Dongwang & Jia, Zhecheng & Wen, Yue, 2021. "Experiences and challenges of agricultural development in an artificial oasis: A review," Agricultural Systems, Elsevier, vol. 193(C).
    20. Hu, Zhenqi & Li, Gensheng & Xia, Jianan & Feng, Zhanjie & Han, Jiazheng & Chen, Zanxu & Wang, Wenjuan & Li, Guodong, 2023. "Coupling of underground coal mining and mine reclamation for farmland protection and sustainable mining," Resources Policy, Elsevier, vol. 84(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:3805-:d:1075388. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.