Preliminary Survey of Safety and Health Cost Framework for Urban Rail Infrastructure Project in Malaysia

This paper presents the findings of a preliminary survey, which is consist of three criteria as the main focus, namely the identification of critical phases for safety cost allocation, issues, and importance of safety and health cost allocation and potential respondent for this research. Semi-structured interviews were conducted with seven (7) construction stakeholders who are involved in urban rail infrastructure project. The transcription and interpretation from the interview findings were carried out using Atlas.ti© qualitative software. The respondent views are needed to obtain safety items and related issues in developing this framework mainly for estimating the safety cost allocation.Keywords: Safety and Health Cost; Cost Framework; Urban Rail; Infrastructure Project. ISSN: 2398-4287© 2017. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia

Accident cost ratio of bodily injury in railway construction projects / Nik Nur Khairunnisa Nik Mohd Ainul Azman ... [et al.]

Accidents may harm any part of the body and may lead to minor injury or even fatalities. The effects of bodily injury may incur substantial direct costs and indirect costs to companies. The applications of existing accident costs ratios seem to be unsatisfactory for rail infrastructure project due to its unique accident situation and work environment. The purpose of the paper is to determine the ratio of direct costs to indirect costs for bodily injury in railway construction projects. A total of 70 accident cases between years 2010-2017 occurred in the railway construction projects were examined. The findings of the study may offer useful insight for safety practitioners in the estimation of direct and indirect costs for bodily injury accident costs on future railway construction projects

Determination of Direct to Indirect Accident Cost Ratio for Railway Construction Project

Construction industry involves dangerous activities which few are exposed to a high risk of being fatal, injuries and damages to machinery and property. The construction of Mass Rapid Transit (MRT) and Light Rail Transit (LRT) have no exception to those accidents. The accident can bring economic burden to project stakeholders especially contractors and client. However, the accident cost is relatively complicated because of its “hidden” or “invisible” portion. Thus, this paper is aimed to determine the ratio of direct to indirect accident cost for railway construction projects. The study was conducted using self-administered questionnaire distributed to safety practitioners (n=11) at MRT and LRT construction projects. A total of 36 out of 43 reportable accident cases successfully collected for the study and were analysed with simple descriptive statistics. The findings show that the accident cost ratio for fatality is 1:1.22, permanent disability is 1:1.94, and temporary disability is 1:1.19. The overall accident ratio for all accident classifications is 1:1.23. The findings of the current study may impact future safety cost estimation process in determining the hidden accident costs for railway construction projects

Safety and Health Cost Allocation for Urban Rail Infrastructure Project: Identifying issues and importance

This paper presents the findings of a preliminary survey, which is consist of the identification of issues and importance of safety and health cost allocation. Semi-structured interviews were conducted with seven (7) construction stakeholders who are involved in urban rail infrastructure project. The transcription and interpretation from the interview findings were carried out using Atlas.ti© qualitative software. The respondent views are needed to obtain safety items and related issues in developing this framework mainly for estimating the safety cost allocation. Keywords: Safety and Health Cost; Cost Framework; Urban Rail; Infrastructure Project. eISSN 2398-4279 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.  DOI: https://doi.org/10.21834/ajqol.v3i13.17

Accurate and fast estimation for field-dependent nonlinear damping force of meandering valve-based magnetorheological damper using extreme learning machine method

The application of artificial neural network (ANN) models in magnetorheological (MR) damper has gained interest in various studies because of the high accuracy in predicting the damping force, especially for control purposes. However, the existing neural network models have apparent drawbacks such as relatively long training time and the possibility to be trapped in local solutions. Therefore, this paper aims to propose a new method to deal with a highly nonlinear behavior of MR damper using an extreme learning machine (ELM) method. The ELM method is applied to a meandering valve-based MR damper for damping force prediction, which has been recently developed. A simulation scheme is selected with damping force as the output, and current, velocity, and displacement as the inputs. The simulations are then carried out based on fatigue dynamic tests data in various frequencies and currents. The training times for more than nineteen thousand data points using the ELM method with 10, 100, 1000 hidden neuron numbers are less than 1.70 s, which is faster than the conventional ANN. Based on 50 times training processes, the ELM and ANN models have comparable average accuracies with R2 values of more than 0.95. ELM also has shown less value R2 standard deviation showing its advantage to reduce the possibility of being trapped in local solution compared to the conventional ANN