Optimal preventive maintenance, repair, and replacement program for catch basins to reduce urban flooding: integrating agent-based modeling and Monte Carlo …
Urban sprawl has resulted in great losses of vegetation areas, an increase in impervious
surfaces, and consequently the direct flow of stormwater into stream channels (ie, the …
surfaces, and consequently the direct flow of stormwater into stream channels (ie, the …
Developing a Scoring Framework to Assess the Feasibility of the Design–Build Project Delivery Method for Bundled Projects
Project bundling has been introduced as an innovative approach that groups several
infrastructure projects into a single contract. Project bundling has numerous benefits such as …
infrastructure projects into a single contract. Project bundling has numerous benefits such as …
Identifying the Opportunities and Challenges of Project Bundling: Modeling and Discovering Key Patterns Using Unsupervised Machine Learning
Project bundling is a strategy that combines several infrastructure projects into a single
contract to improve the overall performance of projects. While previous research efforts have …
contract to improve the overall performance of projects. While previous research efforts have …
Improving the Predictive Analytics of Machine-Learning Pipelines for Bridge Infrastructure Asset Management Applications: An Upstream Data Workflow to Address …
The increasing availability of bridge data from the National Bridge Inventory (NBI) offers a
great opportunity to perform predictive analytics (such as bridge deterioration prediction) …
great opportunity to perform predictive analytics (such as bridge deterioration prediction) …
Enhancing construction organizations' performance through strategic decision-making: unveiling the mediating role of quality of information
Purpose Formulating strategic decisions poses a significant challenge for construction
organizations, profoundly impacting their overarching strategic management. The success of …
organizations, profoundly impacting their overarching strategic management. The success of …
A decision-support system for choosing between traditional and alternative project delivery methods for bundled projects
Purpose Project bundling is an innovative practice that groups or bundles several
infrastructure projects into a single contract. While project bundling has various benefits …
infrastructure projects into a single contract. While project bundling has various benefits …
Analyzing the critical success factors affecting project bundling performance of infrastructure projects
Project bundling is an innovative project-delivery approach that bundles and groups
different infrastructure projects into a single contract. Project bundling provides numerous …
different infrastructure projects into a single contract. Project bundling provides numerous …
Determining Critical Cascading Effects of Flooding Events on Transportation Infrastructure Using Data Mining Algorithms
Transportation infrastructures and operations can be severely impacted during flood events,
leading to significant disruptions to the flow of goods and services. Although numerous …
leading to significant disruptions to the flow of goods and services. Although numerous …
Modeling and Understanding Dispute Causation in the US Public–Private Partnership Projects
M Abdul Nabi, RH Assaad… - Journal of Infrastructure …, 2024 - ascelibrary.org
The partnership between the public and private sectors has led to a new and innovative way
of delivering infrastructure projects that is referred to as public–private partnership (PPP) …
of delivering infrastructure projects that is referred to as public–private partnership (PPP) …
Development and validation of a heat resilience index: Measuring communities resilience to extreme heat events
The level of preparedness of communities to heat-related consequences varies. While
several studies have developed heat vulnerability indices, little-to-no research efforts were …
several studies have developed heat vulnerability indices, little-to-no research efforts were …