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Geographic Information Sciences Commons™
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Articles 1 - 2 of 2
Full-Text Articles in Geographic Information Sciences
A Study On Modelling Spatial-Temporal Human Mobility Patterns For Improving Personalized Weather Warning, Yue Xu
Masters Theses
Understanding human mobility patterns is important for severe weather warning since these patterns can help identify where people are in time and in space when flash floods, tornados, high winds and hurricanes are occurring or are predicted to occur. A GIS (Geographic Information Science) data model was proposed to describe the spatial-temporal human activity. Based on this model, a metric was designed to represent the spatial-temporal activity intensity of human mobility, and an index was generated to quantitatively describe the change in human activities. By analyzing high-resolution human mobility data, the paper verified that human daily mobility patterns could be …
Deer-Vehicle Collisions In Kalamazoo County, Michigan: A Study Using Gis And Statistical Modeling, Alex Todd Laporte
Deer-Vehicle Collisions In Kalamazoo County, Michigan: A Study Using Gis And Statistical Modeling, Alex Todd Laporte
Masters Theses
Kalamazoo County ranked 15th among 83 Michigan counties in 2015 with 917 deer-vehicle collisions (DVCs). With the white-tailed deer population on the rise, the chances of collisions are also more likely to increase. Most predictive models developed for wildlife-vehicle collisions are used for specific areas and have localized characteristics that are hard to apply to different locations and animal species. By analyzing Kalamazoo County’s specific land cover, weather, traffic, and time variables with locations of deer-vehicle collisions throughout the county, characteristics are identified distinguishing between areas of differing risk. Geographic Information Systems (GIS) can locate areas with a high rate …