Sensing noise exposure and its inequality based on noise complaint data through vision-language hybrid method
Bibliographic Data
| ID | 21450018 |
|---|---|
| Authors | Yan Zhang (0000-0001-8460-2671, Chinese University of Hong Kong), Mei-Po Kwan (0000-0001-8602-9258, Chinese University of Hong Kong, corresponding author), Haoran Ma (0000-0003-1567-713X, Chinese University of Hong Kong) |
| Year | 2024 |
| Volume | 171 |
| Pages | 103369 |
| Publication date | 2024-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Applied Geography (JOURNAL) |
| Journal identifiers | ISSN: 0143-6228 • E-ISSN: 1873-7730 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.apgeog.2024.103369 |
| OpenAlex | W4401752819 |
| Language | EN |
| Citations received | 14 |
| References cited | 78 |
Cartography · Complaint · Computer vision · Geography · Image (mathematics) · Inequality · Mathematical analysis · Noise (video) · Political science · Artificial Intelligence · Automated Road and Building Extraction · Computer Science · Image and Signal Denoising Methods · Mathematics · Noise Effects and Management
The contributions of noise exposure during work and at-home activities to overall noise-induced annoyance
National-scale mapping of environmental noise exposure and socioeconomic disparities in China using a two-stage stacked ensemble framework
Spatial and temporal nonstationarity in the association between noise levels and perceived noise annoyance during work across groups with different chronotypes and levels of social jetlag
How multi-sensory experience shapes place-based human sentiments
Social media big data reveals how mobility reshapes human environmental exposure inequality
Unveiling changes in urban visual perception inequality in high-density cities
Exploring sentiment dynamics and their driving factors in megacity residents’ environmental complaints through deep learning and multimodal data
Tracking urban built environment longitudinal changes using text mining and historical street view imagery
Unveiling flood resilience anomalies in urban blocks using an explainable spatial intelligence framework
Quantifying noise complaint intensity via multi-LLM and revealing vertical greenery mitigation thresholds
How to enhance urban noise management
Exploring the influencing factors of noise complaints in New York City based on an interpretable machine learning model
Multi-frequency street-level urban noise modeling and mapping through street view and remote sensing image fusion
Modeling spatial and temporal urban environmental noise using street view imagery and machine learning
Contrasting inequality in human exposure to greenspace between cities of Global North and Global South
Environmental noise, sleep and health
Annoyance from transportation noise
Sensing urban soundscapes from street view imagery
A social sensing approach for everyday urban problem-handling with the 12345-complaint hotline data
From hearing to seeing
Understanding noise exposure, noise annoyance, and psychological stress
Examining the associations between urban built environment and noise pollution in high-density high-rise urban areas
Relationships between noise complaints and socio-economic factors in England
Measuring visual walkability perception using panoramic street view images, virtual reality, and deep learning
Environmental pollution and socioeconomic health inequality
Investigating changes in noise pollution due to the Covid-19 lockdown
Effects of Exposure to Road, Railway, Airport and Recreational Noise on Blood Pressure and Hypertension
Seafarers’ Perception and Attitudes towards Noise Emission on Board Ships
Investigating sonic injustice
Road traffic noise in Montreal and environmental equity
Sonic injustice
Urbanization through resettlement and the production of space in Hangzhou's concentrated resettlement communities
Residential locations and residential moves between the city centre and suburb in Beijing, China
Construction of a large road infrastructure in a metropolitan area; what can the analysis of community complaints to noise tell us
Selection of suitable alternatives to reduce the environmental impact of road traffic noise using a fuzzy multi-criteria decision model
Uncertainties in the Assessment of Covid-19 Risk
| Unique citing works | 14 |
|---|---|
| Citations per year | 14 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |