Linsen Wang
Biographic Data
| ID | 3584437 |
|---|---|
| NAME | Linsen Wang |
| GIVEN NAMES | Linsen |
| FAMILY NAME | Wang |
| SIGNATURE | WANG L |
| AFFILIATIONS | Sun Yat-sen University |
| ORCID | 0009-0004-7483-9359 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Residential sentiments and spatial environments in urban villages: An X-minute community life circle analysis
Urban villages, a unique residential typology of China's rapid urbanization, and their residents' sentiments have become a prominent issue in the development and management of Shenzhen. While numerous studies have investigated the impact of the urban environment on residents' sentiments, most have focused on the general population and used administrative units, neglecting environmental impacts across spatial scales based on daily mobility. To add…
Profiling spatiotemporal contexts associated with compound exposure disadvantages in noise and greenery: A study using mobile sensors and explainable machine learning
Although exposures to noise or greenery in isolation have been widely studied, limited research has explored the nonlinear associations between spatiotemporal contexts and compound disadvantages from a daily mobility perspective. Drawing on data from mobile sensors, GPS, satellite imagery, points of interest, and activity diaries, this study measures real-time noise and greenery exposures along relevant spatiotemporal contexts. Methodologically, …
How greenery exposure influences noise perception across geographic contexts
While growing attention has been paid to audio-visual interactions, the findings on the role of greenery exposure in noise perception are inconsistent. The inconsistent conclusions may stem from the uncertain geographic context problem. Building on two distinct mechanisms identified in past studies (i.e., restorative and masking effects and the audio-visual congruency effect), this study aims to unveil how greenery exposure influences noise perce…
Space-based planning implications for age-friendly cities: Insights from spatial non-stationarity in multiple environment-health relationships
Unveiling the Neighborhood Effect Averaging Problem: The Role of Daily Mobility in Shaping Built-Environment Quality Exposure
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…
Spatiotemporal Variations of Covid-19 Variants in 100 Countries: Exploring Spatial Patterns and Time-Lag Effects
Learning from the COVID-19 pandemic is vital for future global health crises. Forecasting pandemic spread across countries in the presence of viral mutations, such as SARS-CoV-2 variant strains, remains a challenge. Previous studies indicate spatial and temporal regularities in SARS-CoV-2 variant distribution, yet limitations persist: (1) static geographical patterns overlook dynamic changes and their causes, and (2) the association between tempo…
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…
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…
Spatiotemporal Variations of Covid-19 Variants in 100 Countries: Exploring Spatial Patterns and Time-Lag Effects
Learning from the COVID-19 pandemic is vital for future global health crises. Forecasting pandemic spread across countries in the presence of viral mutations, such as SARS-CoV-2 variant strains, remains a challenge. Previous studies indicate spatial and temporal regularities in SARS-CoV-2 variant distribution, yet limitations persist: (1) static geographical patterns overlook dynamic changes and their causes, and (2) the association between tempo…
How greenery exposure influences noise perception across geographic contexts
While growing attention has been paid to audio-visual interactions, the findings on the role of greenery exposure in noise perception are inconsistent. The inconsistent conclusions may stem from the uncertain geographic context problem. Building on two distinct mechanisms identified in past studies (i.e., restorative and masking effects and the audio-visual congruency effect), this study aims to unveil how greenery exposure influences noise perce…
Space-based planning implications for age-friendly cities: Insights from spatial non-stationarity in multiple environment-health relationships
Unveiling the Neighborhood Effect Averaging Problem: The Role of Daily Mobility in Shaping Built-Environment Quality Exposure
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…
Residential sentiments and spatial environments in urban villages: An X-minute community life circle analysis
Urban villages, a unique residential typology of China's rapid urbanization, and their residents' sentiments have become a prominent issue in the development and management of Shenzhen. While numerous studies have investigated the impact of the urban environment on residents' sentiments, most have focused on the general population and used administrative units, neglecting environmental impacts across spatial scales based on daily mobility. To add…
Profiling spatiotemporal contexts associated with compound exposure disadvantages in noise and greenery: A study using mobile sensors and explainable machine learning
Although exposures to noise or greenery in isolation have been widely studied, limited research has explored the nonlinear associations between spatiotemporal contexts and compound disadvantages from a daily mobility perspective. Drawing on data from mobile sensors, GPS, satellite imagery, points of interest, and activity diaries, this study measures real-time noise and greenery exposures along relevant spatiotemporal contexts. Methodologically, …
Geography (5 works) · Psychology (4 works) · Medicine (3 works) · Noise Effects and Management (3 works) · Urban Transport and Accessibility (3 works) · China (2 works) · Computer Science (2 works) · Criminology (2 works) · Econometrics (2 works) · Economics (2 works)