dc.contributor.advisor | Trauth, Kathleen M. (Kathleen Marie) | eng |
dc.contributor.author | Cole, Jamie S. | eng |
dc.date.issued | 2013 | eng |
dc.date.submitted | 2013 Spring | eng |
dc.description | Title from PDF of title page (University of Missouri--Columbia, viewed on September 6, 2013). | eng |
dc.description | The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical general description, or public abstract, appears in the public.pdf file. | eng |
dc.description | Thesis advisor: Dr. Kathleen M. Trauth | eng |
dc.description | Includes bibliographical references. | eng |
dc.description | M.S. University of Missouri-Columbia 2013. | eng |
dc.description | Dissertations, Academic -- University of Missouri--Columbia -- Civil engineering. | eng |
dc.description | "May 2013" | eng |
dc.description.abstract | Advances in geospatial analysis technology have resulted in new data-gathering techniques for environmental justice (EJ) assessments. Frequently investigated metrics relate to race and income due to the relative ease of acquiring Census data. Geographic information systems (GIS) offer the ability to represent the geography underlying these data in maps in order help identify spatial patterns that may indicate undesirable outcomes or discriminatory practices. Many indicators of disproportionate negative effects exist and can be assessed using GIS. Geospatial analyses can also be used to assess proximity to various features. However, expert human analysis is typically used to interpret analysis results, which may lead to arbitrary or subjective conclusions. This thesis discusses a GIS methodology developed to overcome the limitations of image-based analyses for evaluating spatial relationships in community infrastructure by employing metrics of environmental quality, such as noise, air quality, safety and access to neighborhood features in order to move beyond identification of those affected to quantification of the impacts on their lives. Understanding who is affected, and to what extent, can assist in comparing how daily life can be influenced by infrastructure improvements. This information can be used to assess how effects of these parameters compare to the effects from the same parameters in alternative projects. Impacts on people from these parameters effects can be quantified to offer planners greater decision-making confidence. | eng |
dc.format.extent | viii, 84 pages | eng |
dc.identifier.uri | http://hdl.handle.net/10355/37915 | |
dc.language | English | eng |
dc.publisher | University of Missouri--Columbia | eng |
dc.relation.ispartofcommunity | University of Missouri--Columbia. Graduate School. Theses and Dissertations | eng |
dc.source | Submitted by the University of Missouri--Columbia Graduate School | eng |
dc.subject | environmental justice | eng |
dc.subject | geospatial analysis technology | eng |
dc.subject | spatial relationships | eng |
dc.subject | infrastructure improvements | eng |
dc.title | A GIS-based methodology for quantifying and comparing environmental justice impacts of infrastructure projects | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Civil and Environmental Engineering (MU) | eng |
thesis.degree.grantor | University of Missouri--Columbia | eng |
thesis.degree.level | Masters | eng |
thesis.degree.name | M.S. | eng |