IMPACT ANALYSIS OF NON-FAREGATES IN STATIONS USING 3D MODELS AND AI SPATIAL PERFORMANCE ASSESSMENT

Abstract

Recently, there is a growing demand for public spaces that foster comfort and encourage pedestrian activity. Station spaces, serving as hubs for community interaction, have garnered particular attention. Achieving seamless and integrated spatial design within ticket gates is essential. This study aims to examine the impact of eliminating ticket gate on lingerability, promoting slow-paced walking and pedestrian engagement. Using a 3D model of a station space, we assessed pedestrian behavior employing image recognition AI. By manipulating ticket gate situation and surrounding environments, we analyzed spatial elements and their interplay. Quantitative analysis revealed that the absence of ticket gates enhances lingerability. Furthermore, introducing cafes and rest areas aligning with pedestrian influx could further enhance lingerability.