SILENCE THE CITY: AI NOISE SENSORS AND POLICY LEVERS FOR HEALTHIER LAHORE NIGHTSCAPES

Abstract

Urban noise pollution, especially in the nighttime period, is a growing concern in fast growing cities that has public health and general welfare implications. In Pakistan, the urbanization process in cities like Lahore, and absence of any control over noise pollution has caused intense propagation of noise leaving harmful impacts on habitat as well as living beings. In this paper, we discuss the potential of Artificial Intelligence (AI) noise sensors for tackling night-time urban noise in Lahore. Through the application of AI techniques, this study seeks to offer a holistic lens on noise monitoring through suggesting policy levers for noise regulation. Using urban noise management systems based on AI in the successful cities as a case study, this research uses mixed methods by interviewing city planners and decision-makers to qualitative data analysis along with quantitative information of AI sensors. Results demonstrate the implications of AI-driven noise sensors in noise monitoring and regulation, but also emphasize the need for robust policy as key to equitable results. The paper ends with proposed AI based interventions, and policy recommendations for an incorporation of both technology and legislation to form healthier nightscapes in Lahore.

Keywords: Urban noise, AI sensors, Noise pollution, Policy levers, Lahore, Public health, Nightscapes