Dongping Cao

Dynamics of Project-Based Collaborative Networks for BIM Implementation: Analysis Based on Stochastic Actor-Oriented Models

AbstractIn the project-based construction industry, organizations are coupled with each other largely through project-specific collaborative relationships, and the industry-level networks of these ...

Linking the Motivations and Practices of Design Organizations to Implement Building Information Modeling in Construction Projects: Empirical Study in China

AbstractDrawing on institutional theory and the innovation diffusion literature, this paper investigates how design organizations’ building information modeling (BIM) implementation practices in construction projects are associated with their BIM implementation motivations and related project contextual factors. These associations are empirically tested with survey data collected from BIM-based construction projects in China, and the examined BIM implementation motivations include image motives, reactive motives, project-based economic motives, and cross-project economic motives. Hierarchical regression analysis results illustrate that design organizations’ project BIM implementation practices are significantly impacted by project contextual factors such as client/owner support, and that after controlling for the project contextual factors the higher weights of project-based economic motives and image motives are both significantly associated with higher levels of BIM implementation. By contrast, reactive...

Using Switching State-Space Model to Identify Work States Based on Movement Data

A key question in the construction industry is the productivity issue. With a variety of activities on sites from pip-installation to concrete placement, how to assess the working/non-working states in order to promote time allocation and productivity next time? This paper proposes to utilize switching state-space model integrated with first-difference random walk to recognize working and non-working behavioral modes through turning angles, step length, etc., containing four main steps: eliminate errors by forward/backward-averaging filter, establish the State-Space Model of a couple states with initial prior distributions that is called Switching State-Space Model (SSSM) enabling bidirectional transitions between states, estimate posterior distributions of parameters by Bayesian inference using Gibbs sampling, and analyze the objective work rate, time allocation, and productivity. A pilot study comprised of 24 workers from a housing project is finally conducted to test the proposed model and process.

Recognizing diverse construction activities in site images via relevance networks of construction-related objects detected by convolutional neural networks

AbstractTimely and overall knowledge of the states and resource allocation of diverse activities on construction sites is critical to resource leveling, progress tracking, and productivity analysis...

Hierarchical Bayesian Model of Worker Response to Proximity Warnings of Construction Safety Hazards: Toward Constant Review of Safety Risk Control Measures

AbstractQuickly changing and complicated workplace conditions, which are typical of construction projects, have always been contributing to the poor safety record of the construction industry. Howe...