Cost-influencing risk factors in infrastructure projects on soft soils

Low, Wai Wah; Wong, Kwong Soon; Lee, Jun Liang

doi:10.1080/15623599.2019.1617092

Cited by 5 publications

(3 citation statements)

References 58 publications

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“…A substantial portion (46.8%) strongly agreed that risk and response are managed effectively in the construction projects. This reflects a positive perception of risk management practices within the projects (Floricel et al, 2018). The mean score for this statement is 4.34, indicating a high level of agreement.…”

Section: Descriptive Results On Project Risk Practicementioning

confidence: 83%

Influence of Risk Management on the Performance of Small Medium Enterprises in Rwanda: A Case Study of Peace Jewelries

IRUMVA,

NJENGA, PhD

2023

strategicjournals.com

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Small and Medium Enterprises (SMEs) play a vital role in the economic development of Rwanda, contributing to employment generation, income generation, and poverty reduction. However, these enterprises face numerous challenges, including financial, operational, and market-related risks, which can significantly impact their performance. This study investigated the influence of risk management practices on the performance of SMEs in Rwanda, with a specific focus on Peace Jewelries, a representative SME operating in the country's jewelry industry. The research employed a combination of a descriptive survey and a correlational methodology. The sample consisted of 105 participants who were managers employed at Peace Jewelries. The method of selection adopted in this study was stratified sampling. The primary data collection method employed in this study predominantly involved the administration of questionnaires. Participants were asked to rate their responses using a five-point Likert scale, which did not allow for the inclusion of open-ended remarks. The collection of secondary data was conducted through a diverse range of sources, wherein participants supplied the requisite information by completing a questionnaire. A total of nine people were utilized in the forthcoming pilot investigation. The researchers employed Cronbach's Alpha to assess the degree of reliability. The assessment of the instruments' validity was conducted by a panel of research leaders who possess expertise in the field of project management. This study used SPSS version 21 to analyze the data, and the researchers relied on a mix of frequency tables, descriptive statistics, and regression analysis to draw their conclusions. Both qualitative and quantitative methodswere used to analyze the data for the study. The standardized coefficient (Beta) associated with the variable "Risk management" is 0.916. The standardized coefficient offers insights into the magnitude and direction of the association between risk management and small and medium-sized enterprise (SME) performance, while considering the measurement scale. In the present scenario, a Beta coefficient of 0.916 signifies a robust positive correlation between the implementation of risk management strategies and the performance of small and medium enterprises (SMEs). The t-statistic for the variable "Risk management" is 20.074, indicating a high level of statistical significance (p < 0.001). This observation implied that the association between risk management and small and medium-sized enterprise (SME) success is unlikely to be attributed to mere randomness. However, this discovery isThe Strategic Journal of Business & Change Management.

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Section: Descriptive Results On Project Risk Practicementioning

confidence: 83%

Influence of Risk Management on the Performance of Small Medium Enterprises in Rwanda: A Case Study of Peace Jewelries

IRUMVA,

NJENGA, PhD

2023

strategicjournals.com

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“…AHP (Analytic Hierarchy Process) [9][10] is a subjective decision-making method by decision makers according to their subjective importance of attributes and empowerment by virtue of personal experience, so its subjective factor is too strong. Although the decision result can be obtained by simple calculation using AHP with only a small amount of data information, but the human subjective choice and personal preference etc.…”

Section: Load Weight Calculationmentioning

confidence: 99%

Dynamic optimization of load balancing for streaming server clusters based on LAE-KNN

Liu¹,

Jiang²,

Yang³

2023

Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)

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In order to improve the timeliness of load feedback of streaming media cluster nodes and the processing efficiency of multiple concurrent requests, an improved algorithm based on dynamic feedback is proposed. The optimization of the method is as follows: (1) The calculation method of the load index weight coefficient and load weight value is improved： Least Squares is used to combine the optimization Analysis Hierarchy Process and Entropy Weight Method(denoted as LAE), which combine subjective weighting and objective weighting. (2) The feedback period is dynamically modified by the change in the number of tasks of the cluster nodes. (3) The Euclidean distance of the KNN algorithm is changed to a weighted Euclidean distance based on the weights obtained in (1). The cluster nodes are classified according to the improved KNN algorithm (denoted as LAE-KNN) and the load information, and the tasks are assigned to the class with the smallest total weight ratio. ( 4) At the same time, load migration is realized by setting the threshold of the load index, and random tasks of nodes exceeding the threshold of the load index are redirected to the low-load class according to the load information in each feedback cycle, to improve the load balancing effect of the cluster. Experiments show that the algorithm can effectively solve the problem of cluster load skew caused by many concurrent requests, and can improve the load balancing effect of streaming media clusters.

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“…Differential road settlement is often the result of variation in subsurface composition, primarily short-spatial-scale variation in soil types and larger-spatial-scale variation in geological features (Ngan-Tillard et al, 2010). Clay and peat beds play an especially important role because of their high compressibility (Koster et al, 2016;Low et al, 2019). Knowledge and predictability of settlement patterns is key in developing strategies to prolong the integrity of coastal roads.…”

Section: Introductionmentioning

confidence: 99%

Multi-data settlement prediction along a road section integrating InSAR and coastal subsurface information with data assimilation

Verberne,

Koster,

Fokker

2024

Front. Earth Sci.

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This paper presents a novel approach to examining the impact of soil settlement and its spatial distribution on infrastructure. The study focuses on a specific road section in the Friesland coastal plain in the north of the Netherlands, investigating how the Holocene coastal subsurface architecture influences settlement patterns. Our study underscores the importance of integrating multiple datasets, providing data at varying resolutions. The road segment traverses lithostratigraphical units, which include tidal channel and tidal flat deposits, overlaying an older tidal basin system and intercalated peat beds. Through data assimilation of a settlement model optimized with InSAR measurements, we have identified settlement heterogeneities that can be explained by combining high-resolution variations in lithology with gradual changes in lithostratigraphy. This was accomplished by utilizing a medium-resolution model (MRM) based on borehole descriptions and a high-resolution data (HRD) approach based on cone penetration tests along the road. The HRD method proved more effective in capturing abrupt changes in lithology between channel structures, while the MRM provided a continuous representation of the lithostratigraphic setting of the area. Our study demonstrates that subsurface heterogeneities have significant implications for subsidence along roads. Settlement rates increase from 2–4 mm/year towards 9 mm/year along the road section, resulting in a differential settlement of more than 5 mm/year over a distance of less than a kilometer. This is primarily attributed to variations in lithostratigraphy. Overall, this new innovative approach offers a practical and cost-effective solution for predicting subsidence due to settlement, eliminating the need for expensive laboratory tests. By integrating lithology and lithostratigraphy, more efficient road maintenance and management become possible.

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Cost-influencing risk factors in infrastructure projects on soft soils

Cited by 5 publications

References 58 publications

Influence of Risk Management on the Performance of Small Medium Enterprises in Rwanda: A Case Study of Peace Jewelries

Influence of Risk Management on the Performance of Small Medium Enterprises in Rwanda: A Case Study of Peace Jewelries

Dynamic optimization of load balancing for streaming server clusters based on LAE-KNN

Multi-data settlement prediction along a road section integrating InSAR and coastal subsurface information with data assimilation

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