Abstract

Noise is considered the second threat after air pollution that has an impact on citizens' health and wellbeing in densely populated urban areas, with connections to pathologies of the circulatory and nervous systems such as hypertension. Traditionally, research related to noise in cities was conducted through surveys with a limited temporal and spatial coverage and focused on a subset of the wide spectrum of sound sources present in an urban environment. To overcome these limitations, we resort to geo-referenced social media images to characterize the soundscape of a London at scale. Focusing on health outcomes, we adopt drugs prescriptions data from the UK National Health Service to characterize in space the prevalence of hypertension as a cardiovascular condition potentially linked to sounds exposure. We consistently observe that socioeconomic variables, such as age, gender, and income, play an important role in explaining hypertension rate while official noise exposure levels add a relatively limited contribution in explaining the health outcome. However, our study underlines how the social media powered sonic footprint is, in most use cases, the strongest predictor, incorporating sound sources not considered in the European strategic noise maps. The adoption of these variables shows that the presence of specific types of sounds may influence hypertension more than the noise levels themselves. Connecting the soundscape of an urban area to citizens well-being we provide a tool to support policymakers in designing sensory experiences that have an impact on people quality of life.

Highlights

  • More than two-thirds of the world’s population will live in cities by 2050 (United Nations, 2018)

  • We use multivariate linear regression to determine to what extent the soundscape estimated from social media is related to health outcomes and how it may improve traditional models; in particular, we focus on hypertension that has been connected in the literature as a disease aggravated by noise

  • We showed that the ability of estimate the presence of heterogeneous sound sources using social media increases our ability of identifying sound elements that are significantly associated to health outcomes

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Summary

Introduction

More than two-thirds of the world’s population will live in cities by 2050 (United Nations, 2018). Population growth is bringing key challenges to policy makers. The rise in rental prices, partly due to the proliferation of short-term rentals (Wachsmuth and Weisler, 2018; Urquiaga et al, 2020) and the increasing cost of living in city centers (Andersson and Turner, 2014; Florida, 2017) have accelerated the process of gentrification. Traffic congestion and the increase in the environmental pollution have become one of the most important challenges for politicians and planners due to its connection to quality of life and health outcomes

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