EVALUATION OF ON-DEMAND TRANSPORTATION INTRODUCTION COMMUTING USING HIGH GRANULARITY HUMAN FLOW DATA

Abstract

Workplace transportation management has been proposed as a strategy to mitigate global warming. This study aims to analyze the impact of on-demand transportation using multiple commuter buses for a company located in the port city of Tomakomai. High-granularity human flow data and macro traffic simulations were utilized to evaluate the number of on-demand transportation vehicles required to meet total travel demand, as well as the impact on commuter traffic and CO₂ emissions. The findings indicate that peak vehicle traffic could be reduced by approximately 96.3%. Additionally, the study demonstrates that CO₂ emissions per capita could be decreased by up to 59.6%.