SUBJECTIVE EVALUATION OF MOBILITY FUNCTION ON WALKING SPACE WITH STANDING PEOPLE

Abstract

In a walking space of public facilities such as a station, people who need various functions such as mobility and rest are mixed. However, the existing evaluation methods for mobility function do not take into account the mixture of standing or stopping people in the walking space. In this study, the subjective evaluation of the pedestrian mobility function was evaluated by questionnaire survey using videos of Virtual Reality environment in which a pedestrian is walking through a corridor conflicting with other walkers and standing people. It was found that the pedestrian density, the standing person density, the distance from the wall, and the number of lateral movements of the subject pedestrian worked significantly as explanatory variables. The applicability of the model was examined by applying it to traffic simulations and real space videos. As a result, although limited to a small range of pedestrian density, it was confirmed that the model can express the subjective evaluation of mobility function.