[HTML][HTML] Unsupervised feature extraction of aerial images for clustering and understanding hazardous road segments

J Francis, J Bright, S Esnaashari, Y Hashem… - Scientific Reports, 2023 - nature.com
Aerial image data are becoming more widely available, and analysis techniques based on
supervised learning are advancing their use in a wide variety of remote sensing contexts …

Multivariate hierarchical analysis of car crashes data considering a spatial network lattice

A Gilardi, J Mateu, R Borgoni… - Journal of the Royal …, 2022 - academic.oup.com
Road traffic casualties represent a hidden global epidemic, demanding evidence-based
interventions. This paper demonstrates a network lattice approach for identifying road …

Connected bikeability in London: which localities are better connected by bike and does this matter?

R Beecham, Y Yang, C Tait… - … and Planning B: Urban …, 2023 - journals.sagepub.com
Bikeability, the extent to which a route network enables cycling for everyday travel, is a
frequently cited theme for increasing and diversifying cycling uptake and therefore one that …

Assessing the functional vulnerability of woody plant communities within a large scale tropical rainforest dynamics plot

C Sun, J Yao, H Xu, C Zhou, R Zang - Frontiers in Plant Science, 2024 - frontiersin.org
Introduction Tropical forests are characterized by intricate mosaics of species-rich and
structurally complex forest communities. Evaluating the functional vulnerability of distinct …

Prediction of cyclist road accidents in india using machine learning and visualization techniques

R Yamparala, R Challa, P Valeti… - … Intelligence and Smart …, 2022 - ieeexplore.ieee.org
Road Traffic Accidents (RTAs) are a major problem in today's world, as their number
continues to grow every year due to an increase in the use of road transport and a variety of …

[HTML][HTML] The annual rhythmic differentiation of Populus davidiana growth–climate response under a warming climate in The Greater Hinggan Mountains

R Yun, Y Jin, J Li, Z Chen, Z Lyu, Y Zhao… - Global Ecology and …, 2021 - Elsevier
The stability and balance of forest ecosystems have been seriously affected by climate
change. Herein, we use dendrochronological methods to investigate the radial growth and …

A Framework for Inserting Visually Supported Inferences into Geographical Analysis Workflow: Application to Road Safety Research

R Beecham, R Lovelace - Geographical Analysis, 2023 - Wiley Online Library
Road safety research is a data‐rich field with large social impacts. Like in medical research,
the ambition is to build knowledge around risk factors that can save lives. Unlike medical …

[HTML][HTML] Geographical exploration of the underrepresentation of ethnic minority cyclists in England

A Kokayi, S Shiode, N Shiode - Sustainability, 2023 - mdpi.com
Cycling is encouraged as a means of sustainable urban transport, yet its uptake rate is
uneven between different ethnic groups. The ethnic minority population in England is …

[PDF][PDF] fars_cleaner: A Python package for downloading and pre-processing vehicle fatality data in the US

MZ Abrams, CR Bass - Journal of Open Source Software, 2022 - joss.theoj.org
Historical vehicle safety analysis in the United States leans heavily on public datasets to
determine factors leading to crash fatality. The Fatality Analysis Reporting System (FARS) is …

Computer vision, causal inference and public health modelling approaches to generate evidence on the impacts of urban planning in non-communicable disease and …

RF Hunter, L Garcia, M Stevenson, K Nice… - medRxiv, 2023 - medrxiv.org
Background Given that the majority of the world's population live in cities, it is essential to
global health efforts that we design them in ways that both reduce non-communicable …