Modern elevators came into wide use some 150 years ago. With the advancement of technology, the main task of elevators has remained the same—transport people and goods in between floors—yet elevators have become more sophisticated with a trend toward smart-elevators. While increasing passenger comfort and travel experience, these systems also allow to get an insight into elevator passengers’ behavior during their travels. Have you ever wondered why some people always stand in the same place, or what is your favorite spot to stand in an elevator? This chapter focuses on exploring passengers’ in-cabin behavior while they travel between floors, enabled by a smart-elevator platform. To interpret collected real passengers’ data, a general passenger location analysis model and evaluation methods are developed and several scenarios designed to validate system readiness for behavioral studies. The latter three enablers are used to analyze real elevator passengers’ data to understand how passengers behave in cabins. The results show that passengers tend to choose their favorite position inside the cabin, permitted by the situation, and smart-elevators as a platform can be efficiently used to study passengers’ behavior to enhance cabin environment.

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How Do You Ride an Elevator? Passenger In-Cabin Behavior Analysis on a Smart-Elevator Platform

  • Tarmo Robal,
  • Uljana Reinsalu

摘要

Modern elevators came into wide use some 150 years ago. With the advancement of technology, the main task of elevators has remained the same—transport people and goods in between floors—yet elevators have become more sophisticated with a trend toward smart-elevators. While increasing passenger comfort and travel experience, these systems also allow to get an insight into elevator passengers’ behavior during their travels. Have you ever wondered why some people always stand in the same place, or what is your favorite spot to stand in an elevator? This chapter focuses on exploring passengers’ in-cabin behavior while they travel between floors, enabled by a smart-elevator platform. To interpret collected real passengers’ data, a general passenger location analysis model and evaluation methods are developed and several scenarios designed to validate system readiness for behavioral studies. The latter three enablers are used to analyze real elevator passengers’ data to understand how passengers behave in cabins. The results show that passengers tend to choose their favorite position inside the cabin, permitted by the situation, and smart-elevators as a platform can be efficiently used to study passengers’ behavior to enhance cabin environment.