Abstract

Finding “Areas of Need” for New Transportation Development
Track: Community Planning and Economic Development
Authors: Nathaniel Dede-Bamfo

This study applied fuzzy logic to find “areas of need” (places with poor access but have high economic potential) for road development in the Afram Plains, Ghana. Fuzzy logic was appropriate as it was effective in handling vague class definition within the factors. The results showed that most areas of need coincide with places with high to moderate spatial access. This study is relevant as it presents a realistic approach for locating facilities while maximizing scarce resources.