Search
CSV
RISAutomated Requirements Identification from Construction Contract Documents Using Natural Language Processing
Publisher: ASCE
Abstract: Contract documents are a critical legal component of a construction project that specify all wishes and expectations of the owner toward the design, construction, and handover of a project. Precise comprehension of the ...
NLP-Based Approach to Semantic Classification of Heterogeneous Transportation Asset Data Terminology
Publisher: American Society of Civil Engineers
Abstract: The inconsistency of data terminology has imposed big challenges on integrating transportation project data from distinct sources. Differences in meaning of data elements may lead to miscommunication between data senders ...
Lifecycle Data Modeling to Support Transferring Project-Oriented Data to Asset-Oriented Systems in Transportation Projects
Publisher: American Society of Civil Engineers
Abstract: Construction projects are key sources of data changes made to a transportation asset management system (TAMS). Because projects create new assets or modify existing ones, corresponding edits are required to ensure that the ...
Evaluating Contractors’ Production Performance in Highway Projects Using Historical Daily Work Report Data
Publisher: ASCE
Abstract: One of the most crucial tasks that a project owner has to undertake is choosing the most competent contractor for the project. The current body of knowledge on contractor prequalification and selection through bidding ...
Critical Factors Affecting Intention of Use of Augmented Hearing Protection Technology in Construction
Publisher: ASCE
Abstract: Despite the risk of occupational hearing loss, many noise-exposed construction workers are unwilling to wear hearing protection devices (HPDs) due to their concern about the degraded audibility of environmental sounds. ...
Cost-Weighted TF-IDF: A Novel Approach for Measuring Highway Project Similarity Based on Pay Items’ Cost Composition and Term Frequency
Publisher: ASCE
Abstract: State highway agencies (SHAs) often need to cluster or bundle projects in accordance with their scope similarity for various construction management tasks, including historical data-driven time, cost estimating, and project ...
Uncovering Critical Causes of Highway Work Zone Accidents Using Unsupervised Machine Learning and Social Network Analysis
Publisher: ASCE
Abstract: Highway work zones are essential for the preservation and improvement of the national road system. Nevertheless, these areas are reported to be among the most hazardous workplaces. Thus, it is crucial to develop appropriate ...
Network Theory–Based Approach to Data-Driven Assessment of Bidding Competition in Highway Construction
Publisher: ASCE
Abstract: Competitive bidding in design-bid-build contracts holds the potential to lower bid prices, maximize project outcomes, and promote growth in the construction industry. However, these potential benefits of competitive bidding ...
Sample of Legal Provision Retrieval Using Topic Clustering to Support Utility Relocation Agreement Drafting in Highway Projects
Publisher: ASCE
Abstract: Utility agreements are legal documents containing specialized clauses that legally define stakeholders’ responsibilities for eliminating utility relocation delays in the right of way of highway projects. However, retrieving ...
Discovering Workers’ Actions Leading to Severe Construction Accidents Using Accident Report Data and Sequence Mining Techniques
Publisher: American Society of Civil Engineers
Abstract: Historical construction accident reports have been widely used to gain insights into the primary causes of past incidents in construction. Previous studies have successfully identified accident causes and affected body ...