The international construction industry has long experienced high rates of occupational incidents resulting in serious injury and death. The high rate of fatal construction accidents has clearly highlighted the importance and urgency of safety management improvement for building and construction sites. This paper analyzed 33 nominated success factors of the site safety management (SSM) of building construction projects using Principle Components Analysis (PCA) to extract the success factors (SFs) of SSM in Taiwan. The internal relationships among these SFs were further explored using Structural Equation Modeling (SEM) to examine the underlying relationships. The results of this study indicate that there are moderate correlations present between the selected SFs for SSM. Management behaviors, a safe work environment and safety resources, the safety behaviors of workers, and prevention and remedial actions were found to be the major influencers for SSM performance. Furthermore, the study shows that SSM in Taiwan is still overly focused on safe working conditions, to the detriment of workers’ safety perception and training. Further work is required to ensure that safety programs are agile enough to understand and adapt to the factors which influence SSM outcomes.

The success of source protection in ensuring safe drinking water is centered around being able to understand the hazards present in the catchment then plan and implement control measures to manage water quality risk to levels which can be controlled through downstream barriers. The programs in place to manage source protection are complex sociotechnical systems involving policy, standards, regulators, technology, human factors and so on. This study uses System Theoretic Process Analysis (STPA) to analyze the operational hazards of a typical drinking water source protection (DWSP) program and identify countermeasures to ensure safe operations. To validate the STPA results a questionnaire was developed based on selective grouping of the initial countermeasures identified and distributed to specialists in DWSP in Taiwan, Australia and Greece. Through statistical analysis using Principle Components Analysis (PCA), the study identified four critical success factors (CSFs) for DWSP based on the questionnaire responses. The four CSFs identified were “Policy and Government Agency Support of Source Protection”, “Catchment Risk Monitoring and Information”, “Support of Operational Field Activities” and “Response to Water Quality Threats”. The results of this study provide insight into the approach of grouping of source protection measures to identify a series of targeted CSF for operational source protection programs. Using CSF can aid catchment management agencies in ensuring that the risk level in the catchment is managed effectively and that threats to public health from drinking water are managed appropriately.

Construction occupational accidents are often attributed to workers’ having an insufficient perception of how their actions influence safety in the construction site. This research explores the relationship between safety climate (SC) and personnel safety behavior (SB) of construction workers operating on building construction sites in Taiwan. The study discovered a significant positive relationship between SC and SB of Taiwan’s building construction sites, and in turn SC level had a positive impact on SB participation and overall safety perceptions. The higher the SC cognition of Taiwan’s building construction workers, the better the performance of SB was found to be. The dimension of "safety commitment and safety training" had the greatest relationship with SB. Safety training also had a deep impact on the cognition of SB. Therefore, the organizational culture and attitudes to safety coupled with the successful implementation of safety education and training can effectively enhance SC and worker SB on building construction sites in Taiwan, thereby potentially reducing the impacts of the underlying organizational factors behind safety related incidents.

The technology available to water quality management applications needs to be advanced due to greater use of automation to increase ease of operation, support remote operation and reduce risks due to operator error. In this case study, a comparison is made between System-Theoretic Process Analysis (STPA) and the Bow-tie methodology for identifying process hazards and countermeasures which can be used to guide the design and testing of an automated water quality management system (AWQMS). For this study, the application considered is a small hydroponics installation where water quality management has been automated. The STPA methodology uses a system theory-based approach to identify hazards, which include operational failures, human errors, and component interactions. The Bow-tie diagram focuses on individual barriers for a given threat which can prevent the realisation of a hazardous event and unwanted consequences. Thus, the 22 preventative barriers and seven recovery barriers identified through the Bow-tie diagram provide the design process with broad requirements for reducing the risks of user error as well as the ones associated with ongoing operations. The STPA method identified many Causal Factors (CF) generated from the Unsafe Control Actions after considering all the feasible scenarios. For design input, the STPA provided the design process with 204 specific CFs which were used to create 94 countermeasures to be included in software and hardware design as well as user information material. Both methods identified useful measures to control the hazards associated with human interaction with the AWQMS. However, the measures differed in the level of detail and the involvement in the evolution in the final system losses. In this study, the STPA process was able to identify several hazards which did not visibly relate to the Bow-tie barriers. However, the Bow-tie diagram illustrates a distinction between preventative and recovery hazard controls.

Geographic Information Systems (GISs) provide a powerful tool in managing and analysing spatial data. Geographic Information System has been applied successfully to large variety of fields, one field of particular interest is the field of disaster mitigation. The island of Taiwan is well known for the typhoons and earthquakes which in recent past has claimed lives and caused significant damage. It is well understood that hazard identification and land management play a major part in the reducing the impact of natural disasters. This is a role GIS is well suited to especially when combined with remote sensing data. This concept has been used throughout the world for purposes including identification of risk areas, real-time modelling of events and scenario modelling. Where this has the greatest potential in Taiwan is in the steep and rugged mountain areas of the Central Mountain Range which are sparsely populated and often difficult to access making conventional ground-based investigations impractical over large areas. Geographic Information System combined with remote sensing data provides the ability to effectively analyse various risk factors over large areas or inaccessible areas to identify localities which have the potential to be at higher risk from the impact of natural disasters.