Development of Mobile Application to Reduce Congestion at Taipei Metro Transit Stations based on Behavioral Studies

摘要

Recurring congestion can be observed in Taipei Metro transit stations during peak commuting hours. This study performed behavioral studies and concluded that congestions can be attributed to passengers looking for the shortest route to exit as well as a majority lining up to use the escalators and causing a slow-moving crowd. Based on the identified patterns, a mobile application that incorporates two major features was proposed to reduce the congestion. The route finder would advise passengers to board the train at specific platform gates to ensure a shortest route to the exits at the destination, while a reward system would encourage passengers to take the stairs and circumvent the delay at the escalators.