Spatial Multi-Criteria Evaluation Method for Planning of Optimal Roads Alignments, With Emphasize on Robustness Analysis

The most recommended approach for road planning practice is conducting an environmental impact assessment (EIA) from the beginning of a road project, to consider economic, environmental and social impacts in the planning process. It requires a methodology by which planners and decision-makers can select a solution which has a balance among different criteria belonging to each of these groups. This can be solved by applying Spatial Multi-Criteria Evaluation (Spatial MCE) analysis. The authors' method consists of two parts. The first part uses a ModelBuilder, an application of ArGIS10.5, emulating Spatial MCE. The second part in the authors' method evaluates robustness of developed model that is a main advantage of the authors' methodology, since such evaluation has rarely been studied in Spatial MCE. Investigation of the robustness of the developed model is performed by applying One-At-a-Time (OAT) Sensitivity Analysis (SA). It has been implemented by creating stand-alone Python script that communicates with ArcGIS through the ArcPy module. The methods are applied to a case study in the Tlokweng Planning Area (TPA) in Botswana. Depending on prevailing criteria, the developed method, with slight adjustments, could be applicable to other study areas.


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  • Accession Number: 01774837
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 24 2021 4:35PM