ArticleRoyal Society open science2016
Chatty maps: constructing sound maps of urban areas from social media data.
Article in Royal Society open science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 154 citations in OpenAlex.
- Mapping urban soundscape patterns using user-generated content: A place model approach to acoustic environment perception.PloS one · 2026Article
- Exploring the relationship between audio-visual perception in Fuzhou universities and college students' attention restoration quality using machine learning.Frontiers in psychology · 2025Article
- Crime, inequality and public health: a survey of emerging trends in urban data science.Frontiers in big data · 2023Review
- Comparative Diagnosis of the Urban Noise Problem from Infrastructural and Social Sensing Approaches: A Case Study in Ningbo, China.International journal of environmental research and public health · 2022Article
- A Comparative Study of Data-Driven Models for Travel Destination Characterization.Frontiers in big data · 2022Article
- Rapid indicators of deprivation using grocery shopping data.Royal Society open science · 2021Article
- Investigating urban soundscapes of the COVID-19 lockdown: A predictive soundscape modeling approach.The Journal of the Acoustical Society of America · 2021Article
- A Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment.International journal of environmental research and public health · 2021Article
- Quantifying the differences inRoyal Society open science · 2021Article
- Revisiting the Concept of Quietness in the Urban Environment-Towards Ecosystems' Health and Human Well-Being.International journal of environmental research and public health · 2021Article
- ZARATAMAP: Noise Characterization in the Scope of a Smart City through a Low Cost and Mobile Electronic Embedded System.Sensors (Basel, Switzerland) · 2021Article
- Noise Annoyance in the UAE: A Twitter Case Study via a Data-Mining Approach.International journal of environmental research and public health · 2021Article
- Article
- Crowd-sourced cognitive mapping: A new way of displaying people's cognitive perception of urban space.PloS one · 2019Article
- Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes.Proceedings of the ACM on human-computer interaction · 2018Article
- Article
- Understanding Why People Enjoy Loud Sound.Seminars in hearing · 2017Review
- An overview of city analytics.Royal Society open science · 2017Article
- Design of a Mobile Low-Cost Sensor Network Using Urban Buses for Real-Time Ubiquitous Noise Monitoring.Sensors (Basel, Switzerland) · 2016Article
- Mapping Urban Environmental Noise Using Smartphones.Sensors (Basel, Switzerland) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urban sound has a huge influence over how we perceive places. Yet, city planning is concerned mainly with noise, simply because annoying sounds come to the attention of city officials in the form of complaints, whereas general urban sounds do not come to the attention as they cannot be easily captured at city scale. To capture both unpleasant and pleasant sounds, we applied a new methodology that relies on tagging information of georeferenced pictures to the cities of London and Barcelona. To begin with, we compiled the first urban sound dictionary and compared it with the one produced by collating insights from the literature: ours was experimentally more valid (if correlated with official noise pollution levels) and offered a wider geographical coverage. From picture tags, we then studied the relationship between soundscapes and emotions. We learned that streets with music sounds were associated with strong emotions of joy or sadness, whereas those with human sounds were associated with joy or surprise. Finally, we studied the relationship between soundscapes and people's perceptions and, in so doing, we were able to map which areas are chaotic, monotonous, calm and exciting. Those insights promise to inform the creation of restorative experiences in our increasingly urbanized world.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.