Assessment of staffing needs for construction inspection

Kim, Dae Young; Persad, Khali R; Khwaja, Nabeel; Chi, Seokho

doi:10.1007/s12205-016-0817-6

Cited by 6 publications

(6 citation statements)

References 3 publications

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“…Most recently released classification and segmentation datasets for heavy construction equipment are primarily constructed in 2D images, such as ImageNet [29], the AIM (Advanced Infrastructure Management group (Lake Ariel, PA, USA)) dataset [30,31], the ACID (Alberta Construction Image Dataset) [32], and the Microsoft COCO (Common Objects in Context) dataset [33]. Additionally, research institutions often construct their own data for conducting research [23,34] by collecting substantial image datasets from various sources, including online and offline environments such as construction sites. Consequently, in 2D image-based ML and DL research in the construction industry, there are various methods to easily acquire the necessary datasets for training and testing.…”

Section: Related Work 21 Review Of Classification and Segmentation Da...mentioning

confidence: 99%

3D Point Cloud Dataset of Heavy Construction Equipment

Park,

Kim

2024

Applied Sciences

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Object recognition algorithms and datasets based on point cloud data have been mainly designed for autonomous vehicles. When applied to the construction industry, they face challenges due to the origin of point cloud data from large earthwork sites, resulting in high volumes of data and density. This research prioritized the development of 3D point cloud datasets specifically for heavy construction equipment, including dump trucks, rollers, graders, excavators, and dozers; all of which are extensively used in earthwork sites. The aim was to enhance the efficiency and productivity of machine learning (ML) and deep learning (DL) research that relies on 3D point cloud data in the construction industry. Notably, unlike conventional approaches to acquiring point cloud data using UAVs (Unmanned Aerial Vehicles) and UGVs (Unmanned Ground Vehicles), the datasets for the five types of heavy construction equipment established in this research were generated using 3D-scanned diecast models of heavy construction equipment to create point cloud data.

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Section: Related Work 21 Review Of Classification and Segmentation Da...mentioning

confidence: 99%

3D Point Cloud Dataset of Heavy Construction Equipment

Park,

Kim

2024

Applied Sciences

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“…Based on survey responses and interviews with domain experts, Yuan [13] prioritized inspection checklist items to optimize resources used for inspection by the Indiana Department of Transportation. With a similar purpose, Kim et al [14] analyzed 1598 projects of the Texas Department of Transportation to estimate their staffing needs and improve the efficiency of construction inspection. By integrating the Analytic Network Process (ANP) and fuzzy set methods, Fan [3] developed a construction quality index model that serves as an objective standard for construction inspections in Taiwan.…”

Section: Literature Reviewmentioning

confidence: 99%

A stakeholder-based review of the building inspection system in Turkey: The case of Yalova

Erol¹,

Dede²

2022

JCEMI

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Due to the recent natural disasters and the rapidly increasing need for construction, the concept of building inspection has gained considerable importance in Turkey. However, the literature lacks a stakeholder-based review of the building inspection system despite the fact that its success depends largely on the performance of the actors involved. In order to fill this gap, a survey was conducted with 110 participants representing six stakeholder groups that take an active role in the inspection process. The results of the study revealed that the system has problems in terms of overall performance and employee satisfaction, the stakeholders, especially the contractors and construction managers, do not fulfill their responsibilities, and the sanctions stipulated in the law are insufficient. Moreover, a significant positive correlation was found between the performance of the stakeholders and the sanctions imposed on them. Based on the research findings and synthesis of best practices, it has been suggested to strengthen the penal provisions in the law, increase the qualification and competence of the stakeholders, standardize the inspection procedures, improve communication, and use innovative technologies. Policymakers and practitioners can benefit from the findings of this study to enhance the building inspection system in Turkey.

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“…More specifically, Li et al (15) found that 46.7% of complex projects from their survey data used consultants. Most STAs hire CEI consultants on longer-term projects to justify the cost of hiring them (5,16,17). Also, Kim et al (16) concluded that more labor/skill/time-intensive projects require more resources.…”

Section: Introductionmentioning

confidence: 99%

“…Most STAs hire CEI consultants on longer-term projects to justify the cost of hiring them (5,16,17). Also, Kim et al (16) concluded that more labor/skill/time-intensive projects require more resources. For example, interchanges and widening projects use significantly more labor than simpler projects, like pavement projects.…”

Section: Introductionmentioning

confidence: 99%

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U.S. Transportation Agencies’ Trends of Using Construction Engineering and Inspection Consultants and In-House Staff

Al-Haddad

Liu

Goodrum

et al. 2021

Transportation Research Record

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State transportation agencies (STA) are relying on needs-based construction, engineering, and inspection (CEI) consultants as a primary solution to their staffing deficits. While other studies have examined the reasons STAs hire CEI consultants at an agency level, prior research has not identified potential patterns between project characteristics and STA staffing choices. A national survey was administered to examine how the use of CEI consultants differs by project type, work type, complexity level, and the authority level of inspectors. A rigorous model-building variety of Chi-squared analyses, Cochran’s Q tests, McNemar tests, and binomial logistic regression models were used to analyze the data. This research found that STAs are more likely to use consultants on projects with utilities, drainage, roadway, and/or grading because they either do not have enough staff in-house or do not have the experience in-house to complete these projects. Additionally, most STAs do not grant senior inspector consultants the same authority level as their in-house counterparts. Generally, this research indicates that socio-economic and political factors have both short- and long-term effects on staffing choices in public transportation projects and studying project characteristics might help shed more light on the effects of these decisions. Specifically, the results indicate a need for both the private and public sectors to collaborate and share knowledge to preserve institutional knowledge within agencies. These results suggest that further research into staffing trends and project characteristics is warranted.

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Assessment of staffing needs for construction inspection

Cited by 6 publications

References 3 publications

3D Point Cloud Dataset of Heavy Construction Equipment

3D Point Cloud Dataset of Heavy Construction Equipment

A stakeholder-based review of the building inspection system in Turkey: The case of Yalova

U.S. Transportation Agencies’ Trends of Using Construction Engineering and Inspection Consultants and In-House Staff

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