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Modelling Pedestrian Travel Time and the Design of Facilities: A Queuing Approach

Overview of attention for article published in PLOS ONE, May 2013
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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3 X users

Citations

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30 Dimensions

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71 Mendeley
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Title
Modelling Pedestrian Travel Time and the Design of Facilities: A Queuing Approach
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0063503
Pubmed ID
Authors

Khalidur Rahman, Noraida Abdul Ghani, Anton Abdulbasah Kamil, Adli Mustafa, Ahmed Kabir Chowdhury

Abstract

Pedestrian movements are the consequence of several complex and stochastic facts. The modelling of pedestrian movements and the ability to predict the travel time are useful for evaluating the performance of a pedestrian facility. However, only a few studies can be found that incorporate the design of the facility, local pedestrian body dimensions, the delay experienced by the pedestrians, and level of service to the pedestrian movements. In this paper, a queuing based analytical model is developed as a function of relevant determinants and functional factors to predict the travel time on pedestrian facilities. The model can be used to assess the overall serving rate or performance of a facility layout and correlate it to the level of service that is possible to provide the pedestrians. It has also the ability to provide a clear suggestion on the designing and sizing of pedestrian facilities. The model is empirically validated and is found to be a robust tool to understand how well a particular walking facility makes possible comfort and convenient pedestrian movements. The sensitivity analysis is also performed to see the impact of some crucial parameters of the developed model on the performance of pedestrian facilities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 17%
Student > Master 10 14%
Student > Bachelor 8 11%
Lecturer > Senior Lecturer 2 3%
Student > Doctoral Student 2 3%
Other 9 13%
Unknown 28 39%
Readers by discipline Count As %
Engineering 21 30%
Mathematics 3 4%
Computer Science 3 4%
Design 3 4%
Economics, Econometrics and Finance 2 3%
Other 8 11%
Unknown 31 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 July 2015.
All research outputs
#13,072,573
of 23,577,654 outputs
Outputs from PLOS ONE
#104,845
of 202,026 outputs
Outputs of similar age
#97,881
of 196,413 outputs
Outputs of similar age from PLOS ONE
#2,369
of 5,005 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 202,026 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 196,413 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,005 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.