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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Using Spatial Analysis And Machine Learning Techniques To Develop A Comprehensive Highway-Rail Grade Crossing Consolidation Model, Samira Soleimani
Using Spatial Analysis And Machine Learning Techniques To Develop A Comprehensive Highway-Rail Grade Crossing Consolidation Model, Samira Soleimani
LSU Doctoral Dissertations
The safety of highway-railroad grade crossings (HRGC) is still an issue in the United States of America (USA). The grade crossing is where a railroad crosses a road at the same level without any over or underpass. To improve the safety of crossings, the crossings’ condition should be explored from several aspects such as engineering design (speed limit, warning signs, etc.), road condition (number of lanes, surface markings, etc.), rail design (the type of track, ballast, etc.), temporal variables (weather, visibility, time of day, lightning, etc.), social variables (population, race, etc.), and last but not least, spatial variables (the type …
Temporal And Spatial Analysis Of The Wage Gap For Women And Underrepresented Minorities In The Architecture, Engineering, And Construction (Aec) Workforce, Saba Nikkhah Manesh
Temporal And Spatial Analysis Of The Wage Gap For Women And Underrepresented Minorities In The Architecture, Engineering, And Construction (Aec) Workforce, Saba Nikkhah Manesh
UNLV Theses, Dissertations, Professional Papers, and Capstones
The Architecture, Engineering, and Construction (AEC) industry has failed to solve persistent labor shortage problems or to fill the labor demand in the workforce by recruiting from untapped/underrepresented groups such as Women and Underrepresented Minorities (WUMs). There have been several studies on diversity and inclusion in the AEC industry, but the issue still persists, as the AEC industry has failed to solve these issues. If the industry better understands the status of wage gaps by gender and race, as well as how the industry has performed in terms of providing comparable wages for the workforce over time, along with the …
Show Me St. Louis: Risk Assessment Through An 80-20 Framework, Hannah K. Steinman
Show Me St. Louis: Risk Assessment Through An 80-20 Framework, Hannah K. Steinman
Graduate Theses and Dissertations
Researchers of crime and place have long explored the uneven distribution of crime within the built environment and repeatedly identified where crime is concentrated. The longstanding question pertaining to crime at the micro-level, is why crime concentrates. This study operates within environmental criminology, through an 80-20 framework, to explore the spatial distribution of crime across streets with crime generators and attractors in St. Louis, Missouri to fill this gap in the literature. A conjunctive analysis of case configurations is used to identify unique high and low-crime street profiles. Crime data from 2018 – 2019 are used from the St. Louis …
Investigating The Spatial And Statistical Dimensions Of Mortuary Choice In The Historical-Period Old City Cemetery In Roslyn, Washington, Sarah Rain Hibdon
Investigating The Spatial And Statistical Dimensions Of Mortuary Choice In The Historical-Period Old City Cemetery In Roslyn, Washington, Sarah Rain Hibdon
All Master's Theses
The historical-period Old City Cemetery in Roslyn, Washington contains individuals from diverse social backgrounds and exhibits considerable variation in mortuary expression. As such, the Old City Cemetery offers a unique opportunity to explore potential differences in social group mortuary practices spatially and statistically. Using burials in Roslyn’s Old City Cemetery, this project developed a methods framework to assess mortuary practice through demographics, burial location, and monument/plot attributes. I tested correlations between demographics and mortuary expression using spatial-statistical cluster analysis (Ripley’s K-Function), spatial density analysis (Kernel Density Estimation), and non-spatial statistical significance assessments (Factor analysis and Pearson’s R), and identified …