Suchergebnisse

Performance measures are a key management tool that determine success or failure of performance whether at organizational or project level. In municipalities, performance measures are being utilised to attain stakeholders' and citizens' expectations concerning efficiency and effectiveness in delivery of infrastructure projects.Providing public infrastructure in Saudi Arabia is the responsibility of Municipalities which currently have inadequate performance measures. The purpose of this paper is to identity various objective and subjective performance measures to introduce a performance measurement framework. To commence the basic requirement and to fulfil the main objective of this research work, basic data were collected based on survey questionnaires. It is a 10 page structured questionnaire targeted towards three groups in Saudi Arabia's construction industry (Contractors, Government officials and Consultants). The results reveal that performance measures currently in use revolve around old fashioned measures of the project triangle, viz. cost, time and quality. This research also concludes that other aspects of measurement, such as satisfaction, management and strategy, project production and business performance, are seen as less important measures for construction project performance., However, according to researchers they are considered as significant measures which need to be taken into consideration.

Road accidents have become more common these days and it is pathetic when the accidents happen due to ignorance. The research objective is focused on university students, creating awareness about road safety and improving a sustainable traffic management scenario in the Kingdom of Saudi Arabia. An analytical hierarchy process and a logistic regression model were used to determine the risk priorities ranking of severity factors based on the comparisons of different driver behaviour factors. A cross-sectional survey was conducted among 3200 university students in Saudi Arabia to evaluate the risk associated with accident factors. The main factors taken for risk analysis were Stability during driving, not adhering to rules, committing human errors, Insufficient Visibility, Facing Vehicles Issues. The model estimation analysis revealed the severity, which was based on the student's behavioural factors as a driver which contributed to the high fatality. It is further proposed to teach an interdisciplinary course on Traffic Management to various university students. The awareness towards traffic sense and safety rules would bring down the accidents rates and help the government to maintain smooth traffic density.