This study aims at identifying the critical success factors (CSFs) for safety management of high‐rise building construction projects and exploring interactions among such CSFs. Study data were sourced from semistructured interviews and a questionnaire survey administered in China. The study constructs a third‐order CSFs system containing six CSFs: management measures, management organization, technical and management plan, worker safety behavior, safety environment, and worker safety quality. Among these, management organization is found to be the key factor affecting construction safety management performance, while worker safety behavior is a factor with a direct impact. Implications for practice are proposed. This study enriches the existing literature on the CSFs and performance evaluation of construction safety management in high‐rise building construction projects. Safety performance of high‐rise building construction projects can be effectively enhanced by improving the professional competence of safety management organizations.

An increasing number of State Highway Agencies (SHAs) are utilizing Incentive/Disincentive (I/D) bidding for highway construction. The I/D bidding concept is designed to shorten the total contract time by giving the contractor an incentive for early completion and a disincentive for late completion of a project. SHAs are then presented with the problem of determining the maximum incentive that may be awarded to the contractor. This maximum incentive amount is affected by construction cost, time, and the incentive/disincentive formula. Many SHAs use a fixed amount or fixed percent of construction cost as a maximum incentive amount. However, overestimation of the maximum incentive amount may waste public money and underestimation will reduce the effectiveness of the incentive. This research offers a quantifying model to determine a reasonable maximum incentive amount and uses projects from the Florida Department of Transportation (FDOT) to illustrate this model that is only suitable for linear I/D. A functi...

This study explored the success variables (SVs) in construction partnering and the relationships among the SVs using structural equation modeling (SEM). Research results show that four successful factors (collaborative team culture, long-term quality perspective, consistent objectives, and resource sharing) have a significant influence on the success of construction partnering. Of the four factors, collaborative team culture and consistent objectives have the highest correlation. Collaborative team culture and long-term quality perspective have the lowest correlation. Additionally, good cultural fit has the most influence on characterizing collaborative team culture, commitment to continuous improvement has the highest influence in characterizing long-term quality perspective, clear understanding has the highest influence in characterizing consistent objectives, and availability of resource has the highest influence in characterizing resource sharing. The proposed SEM framework provides information which enables the users to control individual SV by considering their relationships with other SVs.