Evaluation of small-scale touristic coastal town by noise mapping

Abstract

Tourism and the city are in a mutual relationship. Tourism affects the city and is affected by the city. In this context, smart environments that focus on the environment and quality of life come to the forefront in ensuring sustainability in tourism. In sustainable smart environments, noise pollution and control are important in terms of producing plan decisions and determining design criteria. In the study, it was aimed to obtain basic data for the measures to reduce and distribute the noise effect by mapping the noise caused by tourism density in Amasra, which is a small-scale touristic coastal town. In this context, noise maps were created by measuring the noise levels caused by tourism density for the city of Amasra, which is a touristic coastal settlement. In order to determine the noise levels, a total of 15 points were randomly selected, taking into account the proximity to urban uses such as hotels and restaurants as well as urban units such as avenues, streets, open spaces, or squares, provided that they are from various places in the city. Measurements were made regularly on weekdays and weekends in July. As a result of the data obtained, noise pollution levels for the city of Amasra were mapped for different situations (morning, noon, evening, weekdays, weekend, July general) using the Inverse Distance Weighting method. As a result of the measurements and maps prepared, it has been determined that the noise levels of the areas where the vehicle road, parking lot use, shopping and food and beverage places are located are mainly high. Finally, measures for noise control within the scope of sustainable smart environment were created in the study.