Landslide occurrence has become increasingly influenced by human activities. Accordingly,
changing land use and land cover (LULC) is an important conditioning factor in landslide …

Landslide susceptibility analysis can provide theoretical support for landslide risk
management. However, some susceptibility analyses are not sufficiently interpretable …

The machine-learning “black box” models, which lack interpretability, have limited
application in landslide susceptibility mapping. To interpret the black-box models, some …

Accurate crash frequency prediction is critical for proactive safety management. The
emerging connected vehicles technology provides us with a wealth of vehicular motion data …

Precipitation is the main factor that triggers landslides. Rainfall-induced landslide
susceptibility mapping (LSM) is crucial for disaster prevention and disaster losses mitigation …

The aim of this paper is to present developments of an advanced geospatial analytics
algorithm that improves the prediction power of a random forest regression model while …

The Three Gorges Reservoir region in China is the Yangtze River Economic Zone's natural
treasure trove. Its natural environment has an important role in development. The unique …

The field of spatial analysis in traffic crash studies can often enhance predictive performance
by addressing the inherent spatial dependence and heterogeneity in crash data. This …

Landslide susceptibility assessment is an important means of helping to reduce and
manage landslide risk. The existing studies, however, fail to examine the spatially varying …

Gully erosion is one of the main natural hazards, especially in arid and semi-arid regions,
destroying ecosystem service and human well-being. Thus, gully erosion susceptibility maps …