Human wayfinding is a goal-directed process of determining routes through an unfamiliar environment. Understanding wayfinding behavior has important implications for our ability to explain and predict spatial behavior and for our attempts to plan and design the built environment for human use. This article reviews research on wayfinding in built environments. Two distinct yet complementary research perspectives are discussed: the environment-behavior and the artificial intelligence approaches to understanding wayfinding. Closer linkages between these perspectives have implications at both the theoretical and applied levels.
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