2011
DOI: 10.1177/0143624411427459
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A study on the arrival process of lift passengers in a multi-storey office building

Abstract: This article presents a study on the process of how passengers arrive at lift lobbies to travel to their destinations. Earlier studies suggest that passengers arrive at the lift lobbies individually with exponentially distributed inter-arrival times, that is, according to a Poisson process. This study was carried out in a multi-storey office building. The data was collected using a questionnaire, digital video recordings and the lift monitoring system. The results show that, in the studied building, passengers… Show more

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Cited by 22 publications
(23 citation statements)
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“…Similarly, after the lunch, the loading increases for upward starts (see Figure 5). A corresponding profile can also be concluded from Kuusinen et al., 13 where the batch sizes during the lunch period are reported to be considerably higher than during the morning or evening. Compared to individually arriving passengers, the overall number of starts during a day decreases due to the batch effect.…”
Section: Modelling Methodssupporting
confidence: 67%
See 1 more Smart Citation
“…Similarly, after the lunch, the loading increases for upward starts (see Figure 5). A corresponding profile can also be concluded from Kuusinen et al., 13 where the batch sizes during the lunch period are reported to be considerably higher than during the morning or evening. Compared to individually arriving passengers, the overall number of starts during a day decreases due to the batch effect.…”
Section: Modelling Methodssupporting
confidence: 67%
“…The building is further depicted in the literature. 7,13,14 Traffic statistics, mainly the origin and destination floors, time stamp and loading percentage, were obtained from the lift monitoring system (LMS). The energy and power consumptions were measured with a Fluke 1760 threephase power quality recorder installed after the main fuses of the lift in accordance with the ISO 25745-1 standard.…”
Section: Test Surroundingsmentioning
confidence: 99%
“…More recent research indicates that a Poisson process with batch arrivals may fit the data better than a Poisson process with individual arrivals. 4 In the sequel, we use Poisson processes with individual arrivals to model arrivals. We assume that incoming students arrive at floor 1 following a Poisson process over the 15 min period between course blocks.…”
Section: Arrivals At Stairs and Elevatorsmentioning
confidence: 99%
“…More recent research indicates that a Poisson process with batch arrivals may fit the data better than a Poisson process with individual arrivals. 4…”
Section: Arrivals At Stairs and Elevatorsmentioning
confidence: 99%
“…1,5,6 Having a Poisson arrival model for the number of passengers arriving in a period is equivalent to saying that the inter-arrival time between consecutive passengers follows exponential distribution. Kuusinen et al 7 report that passengers arrive in batches under inhomogeneous Poisson process.…”
Section: Introductionmentioning
confidence: 99%