[HTML][HTML] Assessing urban greenery by harvesting street view data: A review

Y Lu, EJS Ferranti, L Chapman, C Pfrang - Urban Forestry & Urban …, 2023 - Elsevier
Urban greenery is of great significance for sustainable urban development due to the
diverse ecosystem services it provides. Assessing urban greenery can reveal its impact on …

Current methods for evaluating people's exposure to green space: a scoping review

Y Liu, MP Kwan, MS Wong, C Yu - Social Science & Medicine, 2023 - Elsevier
People's exposure to green space is a critical link between urban green space and urban
residents' health. Since green space may affect human health through multiple pathways …

Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden

Y Kang, J Abraham, V Ceccato, F Duarte, S Gao… - Landscape and Urban …, 2023 - Elsevier
The safety perception of the built environment, rather than the sheer number of crimes and
incivility behavior, is a fundamental driver of public policies intended to improve urban …

[HTML][HTML] Analyzing the correlation between visual space and residents' psychology in Wuhan, China using street-view images and deep-learning technique

L Dai, C Zheng, Z Dong, Y Yao, R Wang… - City and Environment …, 2021 - Elsevier
Although previous studies have assessed the relationships between visual space indicators
and urban residents' psychological perceptions, systematic research on the relationship …

[HTML][HTML] Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives

F Biljecki, T Zhao, X Liang, Y Hou - International Journal of Applied Earth …, 2023 - Elsevier
Abstract Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor
(SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields …

Computer vision technology for monitoring of indoor and outdoor environments and HVAC equipment: a review

B Yang, S Yang, X Zhu, M Qi, H Li, Z Lv, X Cheng… - Sensors, 2023 - mdpi.com
Artificial intelligence technologies such as computer vision (CV), machine learning, Internet
of Things (IoT), and robotics have advanced rapidly in recent years. The new technologies …

Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery

H Zhou, L Liu, M Lan, W Zhu, G Song, F Jing… - … Environment and Urban …, 2021 - Elsevier
The drug-related problem poses a serious threat to human health and safety. Previous
studies have associated drug places with factors related to place management and …

Using geospatial social media data for infectious disease studies: a systematic review

F Jing, Z Li, S Qiao, J Zhang, B Olatosi… - International Journal of …, 2023 - Taylor & Francis
Geospatial social media (GSM) data has been increasingly used in public health due to its
rich, timely, and accessible spatial information, particularly in infectious disease research …

[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 …

Extracting the pickpocketing information implied in the built environment by treating it as the anomalies

Y Yao, A Dong, Z Liu, Y Jiang, Z Guo, J Cheng, Q Guan… - Cities, 2023 - Elsevier
The practice of crime risk mapping, enabled by the utilization of geospatial big data such as
street view images, has received significant research attention. However, in situations where …