Matching Items (14)
Description
In 2010, for the first time in human history, more than half of the world's total population lived in cities; this number is expected to increase to 60% or more by 2050. The goal of this research effort is to create a comprehensive model and modelling framework for megacities, middleweight cities, and urban agglomerations, collectively referred to as dense urban areas. The motivation for this project comes from the United States Army's desire for readiness in all operating environments including dense urban areas. Though there is valuable insight in research to support Army operational behaviors, megacities are of unique interest to nearly every societal sector imaginable. A novel application for determining both main effects and interactive effects between factors within a dense urban area is a Design of Experiments- providing insight on factor causations. Regression Modelling can also be employed for analysis of dense urban areas, providing wide ranging insights into correlations between factors and their interactions. Past studies involving megacities concern themselves with general trend of cities and their operation. This study is unique in its efforts to model a singular megacity to enable decision support for military operational planning, as well as potential decision support to city planners to increase the sustainability of these dense urban areas and megacities.
ContributorsMathesen, Logan Michael (Author) / Zenzen, Frances (Thesis director) / Jennings, Cheryl (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description城投债是地方政府投融资平台作为发行主体发行的债券，所融资金多被投入地方政府基础设施建设或者公益性项目，拥有地方政府信用的隐性担保。城投债在一定程度上缓解了地方政府在城市发展过程中资金的短缺问题，在我国城市化进程，促进当地经济发展，引导产业转型升级等方面做出了重大贡献。 随着城投债不断发展，代表城投债信用风险的主要考量点-城投债信用利差愈发备受关注。因为无论是城投债的承销机构，还是城投债的投资机构，包括涉及到城投债风险管控的政策制定部门，都会关注到城投债信用利差，那么影响城投债信用利差的影响因素有哪些呢，这些影响因素有哪些是对城投债信用利差有显著影响呢。 本文首先对城投债相关理论概念，包括政府投融资平台、城投债概念以及相关文献综述做了介绍；并指出了之前研究的一些不足之处等问题。同时对城投债的发展概况做了简要描述并进行了相关统计；其次针对影响城投债信用风险的相关因素进行了详细的分析，主要包括宏观经济因素分析、地方政府影响因素分析、发债主体影响因素分析和债项自身影响因素分析；通过分析每一种影响因素的具体情况，假设相关因素与信用利差的关系。然后再提取二手数据通过实证验证回归分析的方法分别验证假设是否成立，找出影响城投债信用风险的主要共同影响因素，同时得出影响最为强烈的几种因素。最后根据上述分析得出的相关结论， 提出防范与降低城投债信用风险的对策和建议。 该研究一方面引导市场正视城投债信用利差的各种因素，明确我们平时认为的影响因素和理论研究得出的影响因素是否一致；继而找到影响城投债信用利差的关键因素，供城 投债承销机构及投资机构做参考，同时提示城投债风险防范应重点关注的核心问题，为防范和降低城投债风险提供重要参考。
ContributorsLi, Juhui (Author) / Gu, Bin (Thesis advisor) / Liang, Bing (Thesis advisor) / Wang, Tan (Committee member) / Arizona State University (Publisher)
Created2019
Description
The retail cost of video games has remained fairly consistent over the decades as the industry has grown so significantly. Emerging alternatives to buying individual games, such as subscription services, attempt to provide a better deal than the current options. Examining the various attributes that all video games possess, regression analysis can be performed to look for what factors may impact the retail cost of a game. After performing the analysis, however, the low adjusted R-square values indicate that the analysis only accounts for a small percentage of the retail cost variability. This suggests that the chosen attributes are not reliable in estimating retail cost with a regression analysis.
ContributorsKeller, Caden Matthew (Author) / Michael, Clough (Thesis director) / Juarez, Joseph (Committee member) / Industrial, Systems & Operations Engineering Prgm (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Technological applications are continually being developed in the healthcare industry as technology becomes increasingly more available. In recent years, companies have started creating mobile applications to address various conditions and diseases. This falls under mHealth or the “use of mobile phones and other wireless technology in medical care” (Rouse, 2018). The goal of this study was to identify if data gathered through the use of mHealth methods can be used to build predictive models. The first part of this thesis contains a literature review presenting relevant definitions and several potential studies that involved the use of technology in healthcare applications. The second part of this thesis focuses on data from one study, where regression analysis is used to develop predictive models.
Rouse, M. (2018). mHealth (mobile health). Retrieved from https://searchhealthit.techtarget.com/definition/mHealth
Rouse, M. (2018). mHealth (mobile health). Retrieved from https://searchhealthit.techtarget.com/definition/mHealth
ContributorsAkers, Lindsay (Co-author) / Kiraly, Alyssa (Co-author) / Li, Jing (Thesis director) / Yoon, Hyunsoo (Committee member) / Industrial, Systems & Operations Engineering Prgm (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05