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An Analysis of Soil Erosion on Construction Sites in Megacities Using Analytic Hierarchy Process

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  • Hongliang Tang

    (Shanghai Quguan Engineering Design Consulting Co., Ltd., Shanghai 200241, China
    Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, Shanghai 200241, China)

  • Pengkun Shi

    (College of Civil Engineering, Tongji University, Shanghai 200092, China)

  • Xiaoli Fu

    (College of Civil Engineering, Tongji University, Shanghai 200092, China)

Abstract

The highly intensive construction activities in the process of urbanization have led to the risk of soil loss, which is due to the disturbance of urbanization on the soil; this makes the soil more vulnerable to erosion by rain and other factors, thus causing soil loss to the urban drainage pipe network or the river channels around the city. This process is affected by both natural and human factors. Based on engineering experience and existing research, 13 influencing factors were identified and classified into four dimensions: Natural Conditions (NC), Construction Activities (CA), Conservation Measures (CM) and Management Measures (MM). Fifteen experts from Shanghai, Guangzhou and Zhengzhou, three main cities in China, were invited to assess the weight of each influencing factor through pairwise comparison. Based on the analytic hierarchy process, the soil erosion risk evaluation model of construction sites in megacities was established, and the weight of each influencing factor was determined. According to the weights, the weighted summation method can be used to calculate the comprehensive scores of these sites and the soil erosion risks of the construction sites can be ranked according to the comprehensive scores for multiple construction sites. The analysis of the model shows that MM is the most important factor, and improving the management level is the key measure to control the soil erosion of construction site in megacities. In addition, in the four dimensions, the results of the weight of each influencing factor in the NC dimension are quite different; this is due to the different cities where the experts are from, indicating that the natural conditions of the location will affect empirical judgment. By inviting many experts to evaluate, the deviation in judgment results, caused by differences in natural conditions, can be reduced.

Suggested Citation

  • Hongliang Tang & Pengkun Shi & Xiaoli Fu, 2023. "An Analysis of Soil Erosion on Construction Sites in Megacities Using Analytic Hierarchy Process," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1325-:d:1031210
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    References listed on IDEAS

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    1. Guangzhao Chen & Xia Li & Xiaoping Liu & Yimin Chen & Xun Liang & Jiye Leng & Xiaocong Xu & Weilin Liao & Yue’an Qiu & Qianlian Wu & Kangning Huang, 2020. "Global projections of future urban land expansion under shared socioeconomic pathways," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
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    Cited by:

    1. Qiang Zhang & Hui Huang & Hao Xu & Zhenming Li & Xinjiao Tian & Shuhao Fang & Jing Wang & Changan Xie & Dingding Yang, 2024. "A Hierarchical Analysis Method for Evaluating the Risk Factors of Pile Foundation Construction for Offshore Wind Power," Sustainability, MDPI, vol. 16(18), pages 1-14, September.
    2. Zahraa Tarek & Ahmed M. Elshewey & Samaa M. Shohieb & Abdelghafar M. Elhady & Noha E. El-Attar & Sherif Elseuofi & Mahmoud Y. Shams, 2023. "Soil Erosion Status Prediction Using a Novel Random Forest Model Optimized by Random Search Method," Sustainability, MDPI, vol. 15(9), pages 1-18, April.

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