title: Improving traffic noise simulations using space syntax: preliminary results from two roadway systems.
abstract: Noise pollution is one of the four major pollutions in the world. In order to implement adequate strategies for noise control, assessment of traffic-generated noise is essential in city planning and management. The aim of this study was to determine whether space syntax could improve the predictive power of noise simulation. This paper reports a record linkage study which combined a documentary method with space syntax analysis. It analyses data about traffic flow as well as field-measured and computer-simulated traffic noise in two Bulgarian agglomerations. Our findings suggest that space syntax might have a potential in predicting traffic noise exposure by improving models for noise simulations using specialised software or actual traffic counts. The scientific attention might need to be directed towards space syntax in order to study its further application in current models and algorithms for noise prediction.
authors.forename: Angel
authors.initials: A
authors.lastname: M Dzhambov
authors.forename: Donka
authors.initials: D
authors.lastname: D Dimitrova
authors.forename: Tanya
authors.initials: T
authors.lastname: H Turnovska
mesh_terms: D002031:Bulgaria; D002947:Cities / Q000706:statistics & numerical data*; D004784:Environmental Monitoring / Q000379:methods* / Q000706:statistics & numerical data*; D008962:Models, Theoretical; D018986:Motor Vehicles / Q000706:statistics & numerical data*; D009622:Noise