M Dzhambov Angel, D Dimitrova Donka, H Turnovska Tanya
Arh Hig Rada Toksikol. 2014 Sep 29;65(3):259-72. doi: 10.2478/10004-1254-65-2014-2469.
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.
噪音污染是世界四大污染之一。为了实施适当的噪音控制策略，在城市规划和管理中，对交通产生的噪音进行评估至关重要。本研究的目的是确定空间句法是否可以提高噪声模拟的预测能力。本文报告了一项记录链接研究，该研究将文献方法与空间句法分析相结合。它分析了保加利亚两个城市群的交通流量数据以及实地测量和计算机模拟的交通噪音。我们的研究结果表明，空间句法可能具有通过使用专业软件或实际交通流量计数改进噪声模拟模型来预测交通噪音暴露的潜力。为了研究其在当前噪声预测模型和算法中的进一步应用，可能需要将科学关注指向空间句法。
