PARTIAL SYSTEMS' ANALYSIS OF TRAFFIC NOISE REDUCTION IN TARIK AL JADIDAH, BEIRUT

Abstract

Traffic noise is considered one of the main pollutants in an urban space and has multiple side effects regarding the physical and mental health of the human being. Tarik Al Jadidah, one of the most densely populated neighborhoods in Beirut City- Lebanon, is selected as urban area for a project-based initiative and the focal point of different studies in BAU Urban Lab. The area suffers from various urban problems, but prominently traffic noise that highly damages the urban residents' quality of life due to its high levels of traffic noise that surpasses the World Health Organization (WHO) guidelines. BAU Urban Lab, an interdisciplinary platform for innovation and knowledge exchange that integrates education with research has led a workshop entitled “System Modelling for Urban Health and Well-Being” held at BAU, Faculty of Architecture - Design and Built Environment. The paper proposes that Vester Sensitivity Model can be considered as a supportive decision-making tool responsible for finding the most effective variables related to Traffic Noise Reduction. The main aim of this paper is to identify the key variables affecting traffic noise reduction system through detecting the variables’ reciprocal impacts using Vester Sensitivity Model. It also depicted that the most influencing variables are those related to social, institutional, infrastructure, and resource flows of the city rather than its fixed physical infrastructure.