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RISUncovering 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 ...
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 ...
Enhanced Highway Project Clustering Framework to Support Project Cost Estimation
Publisher: American Society of Civil Engineers
Abstract: State highway agencies (SHAs) frequently need to cluster projects based on their scope similarity to support various construction planning tasks such as cost estimation. Few recent studies have presented systematic methods ...
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 ...