Type of Document Dissertation Author El-Gafy, Mohamed Anwar Author's Email Address firstname.lastname@example.org URN etd-03302005-181121 Title Environmental Impact Assessment of Transportation Projects: An Analysis Using an Integrated GIS, Remote Sensing, and Spatial Modeling Approach Degree Doctor of Philosophy Department Civil and Environmental Engineering, Department of Advisory Committee
Advisor Name Title Yassir Abdelrazig Committee Chair Douglas Zahn Committee Member John Sobanjo Committee Member Renatus Mussa Committee Member Keywords
- Remote Sensing
Date of Defense 2005-03-25 Availability unrestricted AbstractTransportation projects will have impact on the environment. The general environmental pollution and damage caused by roads is closely associated with the level of economic activity. Although Environmental Impact Assessments (EIAs) are dependent on geo-spatial information in order to make an assessment, there are no rules per se how to conduct an environmental assessment. Also, the particular objective of each assessment is dictated case-by-case, based on what information
and analyses are required. The conventional way of Environmental Impact Assessment (EIA) study is a time consuming process because it has large number
of dependent and independent variables which have to be taken into account, which also have different consequences.
With the emergence of satellite remote sensing technology and Geographic Information Systems (GIS), this research presents a new framework for the analysis phase of the Environmental Impact Assessment (EIA) for transportation projects
based on the integration between remote sensing technology, geographic information systems, and spatial modeling. By integrating the merits of the map overlay method and the matrix method, the framework analyzes comprehensively the environmental vulnerability around the road and its impact on the environment. This framework is expected to:1) improve the quality of the decision making process, 2) be applied both to urban and inter-urban projects, regardless of transport mode, and 3) present the data and make the appropriate analysis to support the decision of the decision-makers and allow them to present these data to the public hearings in a simple manner.
Case studies, transportation projects in the State of Florida, were analyzed to illustrate the use of the decision support framework and demonstrate its capabilities. This cohesive and integrated system will facilitate rational decisions through costeffective coordination of environmental information and data management that can
be tailored to specific projects. The framework would facilitate collecting, organizing,
analyzing, archiving, and coordinating the information and data necessary to support
technical and policy transportation decisions.
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