Abstract
Bus dwell time is one of the important factors that could influence the bus transit system’s level of service. It is also an important input for planning and modeling of bus transit system. The objective of this study comes in three-fold. First, it aims to investigate the possible factors that affect the dwell time variability. Second, it intends to find the best statistical distribution that could be adopted to explain and describe the dwell time variability. Third, it aims to develop regression models to understand the degree of influence for each considered factor. Statistical modeling approach is adopted with the aid of statistical software. Dwell time data is collected from 20 bus stops in Klang Valley region, Malaysia using the video recording technique. Results show that the dwell time is influenced by the time of day, payment method, and platform crowding level.
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