A new urban road traffic noise exposure assessment method based on building land-use types and temporal traffic demand estimation.

Abstract

The primary objectives of this study are the development of an urban traffic noise exposure assessment method considering temporal traffic demand and its applications in densely populated areas. Firstly, the temporal population distribution model is constructed through the different travel rates of residents based on the dispersion and aggregation characteristics of people in different periods and land use types. Next, the model of temporal traffic demand estimation is proposed via the Gravity Model and User Equilibrium Model considering the inbound and outbound traffic. Finally, the road traffic noise is predicted based on the temporal traffic flows, and noise exposure assessment is conducted via the proposed noise exposure metrics. The results of a case study show that the proposed method works well for densely populated urban areas with time-varying traffic demands. Temporal traffic demand, land use, POI categories and population distribution influence the traffic noise exposure. The type composition and spatial distribution of high-exposed buildings in different periods are very different. Accommodational buildings have a greater contribution to noise exposure due to the functional properties that enable a strong population-gathering ability.