[HTML][HTML] A review on street view observations in support of the sustainable development goals

C Yin, N Peng, Y Li, Y Shi, S Yang, P Jia - International Journal of Applied …, 2023 - Elsevier
With limited time to achieve the 2030 Agenda for Sustainable Development, the world needs
effective, scalable approaches to measure and monitor global progress toward the 17 …

Investigating the influence of streetscape environmental characteristics on pedestrian crashes at intersections using street view images and explainable machine …

H Yue - Accident Analysis & Prevention, 2024 - Elsevier
Examining the relationship between streetscape features and road traffic accidents is pivotal
for enhancing roadway safety. While previous studies have primarily focused on the …

How does street environment affect pedestrian crash risks? A link-level analysis using street view image-based pedestrian exposure measurement

Y Hu, L Chen, Z Zhao - Accident Analysis & Prevention, 2024 - Elsevier
Street space plays a critical role in pedestrian safety, but the influence of fine-scale street
environment features has not been sufficiently understood. To analyze the effect of the street …

Street view imagery-based built environment auditing tools: a systematic review

S Dai, Y Li, A Stein, S Yang, P Jia - International Journal of …, 2024 - Taylor & Francis
The use of street view imagery (SVI) and advanced urban visual intelligence technologies
has revolutionized built environment auditing (BEA) practice, by enabling high-resolution …

[HTML][HTML] Inferring socioeconomic environment from built environment characteristics based street view images: An approach of Seq2Seq method

Y Zhang, F Zhang, L Fang, N Chen - International Journal of Applied Earth …, 2023 - Elsevier
The street view image (SVI) and the point of interest (POI) are data sources with different
modalities and representing different urban environments, respectively. These two types of …

Investigating streetscape environmental characteristics associated with road traffic crashes using street view imagery and computer vision

H Yue - Accident Analysis & Prevention, 2025 - Elsevier
Examining the relationship between streetscape features and road traffic crashes is vital for
enhancing roadway safety. Traditional field surveys are often inefficient and lack …

[HTML][HTML] Examining the relationship between active transport and exposure to streetscape diversity during travel: A study using GPS data and street view imagery

H Zhou, J Wang, M Widener, K Wilson - Computers, Environment and …, 2024 - Elsevier
Active transport (AT)—physical activity (PA) during travel—can promote human health.
Among built environment factors related to travel research, design refers to the street …

The dynamic-static dual-branch deep neural network for urban speeding hotspot identification using street view image data

W Guo, S Jin, Y Li, Y Jiang - Accident Analysis & Prevention, 2024 - Elsevier
The visual information regarding the road environment can influence drivers' perception and
judgment, often resulting in frequent speeding incidents. Identifying speeding hotspots in …

Integrating visual factors in crash rate analysis at Intersections: An AutoML and SHAP approach towards cycling safety

H Xue, P Guo, Y Li, J Ma - Accident Analysis & Prevention, 2024 - Elsevier
Cycling crashes constitute a significant and rising share of traffic accidents. Consequently,
exploring factors affecting cycling safety has become a priority for both governmental bodies …

[PDF][PDF] Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach

X Hu, Y Ban, A Nascetti - International Journal of Applied Earth …, 2021 - lirias.kuleuven.be
ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …