Jiangyu Song
Datos Biográficos
| ID | 3635849 |
|---|---|
| NOMBRE | Jiangyu Song |
| NOMBRES | Jiangyu |
| APELLIDO | Song |
| FIRMA | SONG J |
| AFILIACIONES | Chinese University of Hong Kong |
| ORCID | 0000-0002-6337-8508 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 12 |
| TOTAL DE CITAS | 7 |
| TOTAL COMO AUTOR | 12 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2021 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
The contributions of noise exposure during work and at-home activities to overall noise-induced annoyance
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
While numerous studies have examined the negative effects of noise on people's noise-related annoyance, limited attention has been paid to the spatio-temporal nonstationarity of noise levels and annoyance during work. To address this research gap, we employed Global Positioning System (GPS) devices, mobile noise sensors, and activity diaries to collect continuous noise exposure data from 482 participants in Hong Kong over one working day and one …
Exploring the inequality in fine-grained primary healthcare accessibility in Macau based on high-resolution geospatial data under the 15-minute city framework
Real-time mobile sensing calibrated by random forest for spatiotemporal assessment of air pollution exposure distribution and inequality
Space-based planning implications for age-friendly cities
Association between real-time noise exposure in broader activity contexts and job satisfaction
Using spatially explicit high-granularity 3D geospatial data for quantifying public transport walking accessibility inequality and vulnerability in the x-minute city
The time-lagged effect of noise exposure on noise annoyance
Unveiling the Neighborhood Effect Averaging Problem
Equal exposure to quality-built environments fosters livable, inclusive cities. The neighborhood effect averaging problem (NEAP) suggests that daily mobility plays a crucial role in shaping environmental exposure. This study aims to unveil the NEAP in built-environment quality exposure. Street-view image data and mobile phone signaling data are coupled to measure built-environment quality in people’s residential space and activity space. Subseque…
Exploring large-scale spatial distribution of fear of crime by integrating small sample surveys and massive street view images
A tremendous amount of research use questionnaires to obtain individuals’ fear of crime and aggregate it to the neighborhood level to measure the spatial distribution of fear of crime. However, the cost of using questionnaires to measure the large-scale spatial distribution of fear of crime is high. The built environment is known to influence people’s perceptions, including fear of crime. This study develops a machine learning model to link built…
The association between perceived residential environment, social interaction and subjective well‐being of China's elderly migrants
With the rapid growth in both urbanization and the ageing of the population, elderly migrants have become a more prominent group in urban China. Previous studies have shown that elderly migrants are a vulnerable group in terms of subjective well‐being (SWB) and studies have emphasized the role of their socioeconomic status (SES) and family‐related attributes (FRA) on their SWB. However, there is less attention on whether the perceived residential…
Assessing the Impact of Street-View Greenery on Fear of Neighborhood Crime in Guangzhou, China
Previous literature has examined the relationship between the amount of green space and perceived safety in urban areas, but little is known about the effect of street-view neighborhood greenery on perceived neighborhood safety. Using a deep learning approach, we derived greenery from a massive set of street view images in central Guangzhou. We further tested the relationships and mechanisms between street-view greenery and fear of crime in the n…
The association between perceived residential environment, social interaction and subjective well‐being of China's elderly migrants
With the rapid growth in both urbanization and the ageing of the population, elderly migrants have become a more prominent group in urban China. Previous studies have shown that elderly migrants are a vulnerable group in terms of subjective well‐being (SWB) and studies have emphasized the role of their socioeconomic status (SES) and family‐related attributes (FRA) on their SWB. However, there is less attention on whether the perceived residential…
Association between real-time noise exposure in broader activity contexts and job satisfaction
Using spatially explicit high-granularity 3D geospatial data for quantifying public transport walking accessibility inequality and vulnerability in the x-minute city
Assessing the Impact of Street-View Greenery on Fear of Neighborhood Crime in Guangzhou, China
Previous literature has examined the relationship between the amount of green space and perceived safety in urban areas, but little is known about the effect of street-view neighborhood greenery on perceived neighborhood safety. Using a deep learning approach, we derived greenery from a massive set of street view images in central Guangzhou. We further tested the relationships and mechanisms between street-view greenery and fear of crime in the n…
The association between perceived residential environment, social interaction and subjective well‐being of China's elderly migrants
With the rapid growth in both urbanization and the ageing of the population, elderly migrants have become a more prominent group in urban China. Previous studies have shown that elderly migrants are a vulnerable group in terms of subjective well‐being (SWB) and studies have emphasized the role of their socioeconomic status (SES) and family‐related attributes (FRA) on their SWB. However, there is less attention on whether the perceived residential…
Exploring large-scale spatial distribution of fear of crime by integrating small sample surveys and massive street view images
A tremendous amount of research use questionnaires to obtain individuals’ fear of crime and aggregate it to the neighborhood level to measure the spatial distribution of fear of crime. However, the cost of using questionnaires to measure the large-scale spatial distribution of fear of crime is high. The built environment is known to influence people’s perceptions, including fear of crime. This study develops a machine learning model to link built…
Exploring the inequality in fine-grained primary healthcare accessibility in Macau based on high-resolution geospatial data under the 15-minute city framework
Real-time mobile sensing calibrated by random forest for spatiotemporal assessment of air pollution exposure distribution and inequality
Space-based planning implications for age-friendly cities
Association between real-time noise exposure in broader activity contexts and job satisfaction
Using spatially explicit high-granularity 3D geospatial data for quantifying public transport walking accessibility inequality and vulnerability in the x-minute city
The time-lagged effect of noise exposure on noise annoyance
Unveiling the Neighborhood Effect Averaging Problem
Equal exposure to quality-built environments fosters livable, inclusive cities. The neighborhood effect averaging problem (NEAP) suggests that daily mobility plays a crucial role in shaping environmental exposure. This study aims to unveil the NEAP in built-environment quality exposure. Street-view image data and mobile phone signaling data are coupled to measure built-environment quality in people’s residential space and activity space. Subseque…
The contributions of noise exposure during work and at-home activities to overall noise-induced annoyance
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
While numerous studies have examined the negative effects of noise on people's noise-related annoyance, limited attention has been paid to the spatio-temporal nonstationarity of noise levels and annoyance during work. To address this research gap, we employed Global Positioning System (GPS) devices, mobile noise sensors, and activity diaries to collect continuous noise exposure data from 482 participants in Hong Kong over one working day and one …
Noise Effects and Management (5 obras) · Psychology (5 obras) · Geography (4 obras) · Medicine (4 obras) · China (3 obras) · Computer Science (3 obras) · Social Psychology (3 obras) · Social Psychology (3 obras) · Urban Transport and Accessibility (3 obras) · Annoyance (2 obras)