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Snow And Non-Snow Events Based Winter Traffic Crash Pattern Analysis And Developing Lake Effect Snow Induced Crash Count Prediction Model, Bandhan Dutta Ayon Jun 2017

Snow And Non-Snow Events Based Winter Traffic Crash Pattern Analysis And Developing Lake Effect Snow Induced Crash Count Prediction Model, Bandhan Dutta Ayon

Masters Theses

This study aims to (i) find the spatial-temporal traffic crash pattern and (ii) develop a statistical model for predicting LES induced traffic crash counts. Three southwest Michigan counties: Allegan, Kalamazoo and Calhoun are selected to conduct this study. Snow and non-snow event based comparative analysis are conducted using Getis-Ord Gi* statistic to identify high density crash cluster locations in the study area. While several new and oscillating hot spots are detected in Allegan during snow, no hot spot is detected during non-snow events based analysis. In Kalamazoo, traffic crashes do not exhibit much difference in spatial-temporal trend during snow or …


Understanding The Vulnerability Of The Population Of Afghanistan Under Multiple Natural And Anthropogenic Risks With An Indicator-Based Analysis, Matthew Repine Miller May 2017

Understanding The Vulnerability Of The Population Of Afghanistan Under Multiple Natural And Anthropogenic Risks With An Indicator-Based Analysis, Matthew Repine Miller

Masters Theses

The purpose of this study is to understand the vulnerability to natural and anthropogenic hazards of the population of Afghanistan and the social factors which enhance or moderate such vulnerability. While vulnerability studies are commonly conducted in the United States, as well as many other global north countries, most studies of this type utilize data collected by central government entities in the form of a census which is periodically executed and uses standardized collection methods. In the case of Afghanistan, and many other countries in the global south, such data is hard to acquire, lacks a high level of confidence, …