Pedestrian’s vision has been a minority in studies regarding pedestrian’s movement behavior in a shopping environments like night markets. It is considered to be one of the most prominent shopping preference due to the variety of local delicacies, entertainment activities, and product offerings. In Taiwan, a lot of people go to night markets for leisurely strolling and eating out with family and friends. The variety of food choices is one of the main reason why people visit. This preference and the shop’s location could affect how pedestrians move around the night market.

A few studies have focused on utilizing the impulse stops of pedestrians, but there are not many studies that consider the ‘destination attractiveness’ and its influence to surrounding shops. Pedestrian modeling can benefit a lot of industries, especially retail and entertainment sector, to improve customer satisfaction, profitability and enhance the layout of their facilities even before realizing it. To better comprehend, NetLogo, a microscopic agent-based tool will be introduced to reproduce the shopping behavior of pedestrians and understand the interrelationship between movement, vision, destination attractiveness and site configuration. Different view angles and depths where simulated to determine the ‘effective vision range of pedestrians’ in a night market street segment. To validate the reliability of the simulation model, gathering of observation data was done and then compare results with the model. Determining the attraction factors of every destination revealed to have an effect in the movement of pedestrians as well as the influence of ‘top shops’ to neighboring shops.

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