Faculty Mentor
Dr. Raja Swamy
Department (e.g. History, Chemistry, Finance, etc.)
Anthropology
College (e.g. College of Engineering, College of Arts & Sciences, Haslam College of Business, etc.)
College of Arts & Sciences
Year
2017
Abstract
Military vehicle-generated particulate matter released into the atmosphere are possible concerns for human health. The author’s prior geospatial research has been to identify, using GIS analysis, the local populations surrounding a military installation in Hawaii that are most at-risk from the vehicle-generated particulate matter. A continuation of the past research, this project aims to assess the perceived impact of the identified dust pollution among local residents by conducting a survey through both qualitative and quantitative methods. The survey of health and public perception is then used to validate the model developed in the previous GIS analysis. This research is a contribution to the ongoing pursuit of achieving solutions to social problems through geospatial applications. Socially just environmental sustainability can begin with an identification of a problem, but must be pursued by community awareness and education. This project uses geospatial statistical analysis as a means to progress from an identified and quantified environmental problem to an assessment of the societal perception of its impact, which in turn presents an opportunity in which a community can arrive at a cooperative, sustainable solution to their environmental concerns.
Included in
Geographic Information Sciences Commons, Human Geography Commons, Social and Cultural Anthropology Commons
Validating Geospatial Analysis with Community Risk Perception Survey in Big Island, Hawaii
Military vehicle-generated particulate matter released into the atmosphere are possible concerns for human health. The author’s prior geospatial research has been to identify, using GIS analysis, the local populations surrounding a military installation in Hawaii that are most at-risk from the vehicle-generated particulate matter. A continuation of the past research, this project aims to assess the perceived impact of the identified dust pollution among local residents by conducting a survey through both qualitative and quantitative methods. The survey of health and public perception is then used to validate the model developed in the previous GIS analysis. This research is a contribution to the ongoing pursuit of achieving solutions to social problems through geospatial applications. Socially just environmental sustainability can begin with an identification of a problem, but must be pursued by community awareness and education. This project uses geospatial statistical analysis as a means to progress from an identified and quantified environmental problem to an assessment of the societal perception of its impact, which in turn presents an opportunity in which a community can arrive at a cooperative, sustainable solution to their environmental concerns.