Analysis and Optimization of Addis Ababa Light Railway Ticketing Window

Tamene Taye Worku; Yeserah Gebeyehu Asegie

doi:doi:10.11648/j.urp.20230803.14

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Analysis and Optimization of Addis Ababa Light Railway Ticketing Window

Tamene Taye Worku, Yeserah Gebeyehu Asegie

Published in Urban and Regional Planning (Volume 8, Issue 3)

Received: 29 June 2023 Accepted: 14 July 2023 Published: 26 July 2023

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Abstract

The main feature of Addis Ababa's light railway (AALR) ticketing window is either congestion or underutilized 106 – 137 and 12 - 18 percent respectively. That is why the study set the main objective to analyze and optimize AALR ticketing windows. So, the researcher first studied the problem for the specified ticketing windows. Secondly, establish and analyze the performance of a new model for the current and future design periods. And finally, it recommends the number of clerks based on the findings. The congestion and underutilization problem of each ticketing window is solved through a mathematical method called Queue Theory with a combination of special and statically analysis methods and train timetable optimization of urban railway by Arena. The study indicates that the congestion rate of the AALR at the congested station is between 106 & 137%. Similarly, the underutilization of the ticketing window is between 12 & 18%. Therefore, the result indicates that adding a single clerk could reduce the traffic intensity to 82% in congested windows. Similarly, reducing to 2 clerks can improve up to 35.5% the underutilization window. Finally, the optimum number of clerks required for the rest of the design period is determined and summarized using a combination of queuing theory, spatial and analytical method and Arena software timetable optimization.

Published in	Urban and Regional Planning (Volume 8, Issue 3)
DOI	10.11648/j.urp.20230803.14
Page(s)	52-58
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Optimization, Queue Theory, Waiting Time

References

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APA Style

Tamene Taye Worku, Yeserah Gebeyehu Asegie. (2023). Analysis and Optimization of Addis Ababa Light Railway Ticketing Window. Urban and Regional Planning, 8(3), 52-58. https://doi.org/10.11648/j.urp.20230803.14

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ACS Style

Tamene Taye Worku; Yeserah Gebeyehu Asegie. Analysis and Optimization of Addis Ababa Light Railway Ticketing Window. Urban Reg. Plan. 2023, 8(3), 52-58. doi: 10.11648/j.urp.20230803.14

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AMA Style

Tamene Taye Worku, Yeserah Gebeyehu Asegie. Analysis and Optimization of Addis Ababa Light Railway Ticketing Window. Urban Reg Plan. 2023;8(3):52-58. doi: 10.11648/j.urp.20230803.14

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@article{10.11648/j.urp.20230803.14,
  author = {Tamene Taye Worku and Yeserah Gebeyehu Asegie},
  title = {Analysis and Optimization of Addis Ababa Light Railway Ticketing Window},
  journal = {Urban and Regional Planning},
  volume = {8},
  number = {3},
  pages = {52-58},
  doi = {10.11648/j.urp.20230803.14},
  url = {https://doi.org/10.11648/j.urp.20230803.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.urp.20230803.14},
  abstract = {The main feature of Addis Ababa's light railway (AALR) ticketing window is either congestion or underutilized 106 – 137 and 12 - 18 percent respectively. That is why the study set the main objective to analyze and optimize AALR ticketing windows. So, the researcher first studied the problem for the specified ticketing windows. Secondly, establish and analyze the performance of a new model for the current and future design periods. And finally, it recommends the number of clerks based on the findings. The congestion and underutilization problem of each ticketing window is solved through a mathematical method called Queue Theory with a combination of special and statically analysis methods and train timetable optimization of urban railway by Arena. The study indicates that the congestion rate of the AALR at the congested station is between 106 & 137%. Similarly, the underutilization of the ticketing window is between 12 & 18%. Therefore, the result indicates that adding a single clerk could reduce the traffic intensity to 82% in congested windows. Similarly, reducing to 2 clerks can improve up to 35.5% the underutilization window. Finally, the optimum number of clerks required for the rest of the design period is determined and summarized using a combination of queuing theory, spatial and analytical method and Arena software timetable optimization.},
 year = {2023}
}

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TY - JOUR
T1 - Analysis and Optimization of Addis Ababa Light Railway Ticketing Window
AU - Tamene Taye Worku
AU - Yeserah Gebeyehu Asegie
Y1 - 2023/07/26
PY - 2023
N1 - https://doi.org/10.11648/j.urp.20230803.14
DO - 10.11648/j.urp.20230803.14
T2 - Urban and Regional Planning
JF - Urban and Regional Planning
JO - Urban and Regional Planning
SP - 52
EP - 58
PB - Science Publishing Group
SN - 2575-1697
UR - https://doi.org/10.11648/j.urp.20230803.14
AB - The main feature of Addis Ababa's light railway (AALR) ticketing window is either congestion or underutilized 106 – 137 and 12 - 18 percent respectively. That is why the study set the main objective to analyze and optimize AALR ticketing windows. So, the researcher first studied the problem for the specified ticketing windows. Secondly, establish and analyze the performance of a new model for the current and future design periods. And finally, it recommends the number of clerks based on the findings. The congestion and underutilization problem of each ticketing window is solved through a mathematical method called Queue Theory with a combination of special and statically analysis methods and train timetable optimization of urban railway by Arena. The study indicates that the congestion rate of the AALR at the congested station is between 106 & 137%. Similarly, the underutilization of the ticketing window is between 12 & 18%. Therefore, the result indicates that adding a single clerk could reduce the traffic intensity to 82% in congested windows. Similarly, reducing to 2 clerks can improve up to 35.5% the underutilization window. Finally, the optimum number of clerks required for the rest of the design period is determined and summarized using a combination of queuing theory, spatial and analytical method and Arena software timetable optimization.
VL - 8
IS - 3
ER -

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Author Information

Tamene Taye Worku

Civil and Environmental Engineering Department, Addis Ababa University, Addis Ababa, Ethiopia
Yeserah Gebeyehu Asegie

Civil Engineering Department, Debre Berhan University, Debre Berhan, Ethiopia

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Plain Text BibTeX RIS

APA Style

Tamene Taye Worku, Yeserah Gebeyehu Asegie. (2023). Analysis and Optimization of Addis Ababa Light Railway Ticketing Window. Urban and Regional Planning, 8(3), 52-58. https://doi.org/10.11648/j.urp.20230803.14

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ACS Style

Tamene Taye Worku; Yeserah Gebeyehu Asegie. Analysis and Optimization of Addis Ababa Light Railway Ticketing Window. Urban Reg. Plan. 2023, 8(3), 52-58. doi: 10.11648/j.urp.20230803.14

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AMA Style

Tamene Taye Worku, Yeserah Gebeyehu Asegie. Analysis and Optimization of Addis Ababa Light Railway Ticketing Window. Urban Reg Plan. 2023;8(3):52-58. doi: 10.11648/j.urp.20230803.14

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@article{10.11648/j.urp.20230803.14,
  author = {Tamene Taye Worku and Yeserah Gebeyehu Asegie},
  title = {Analysis and Optimization of Addis Ababa Light Railway Ticketing Window},
  journal = {Urban and Regional Planning},
  volume = {8},
  number = {3},
  pages = {52-58},
  doi = {10.11648/j.urp.20230803.14},
  url = {https://doi.org/10.11648/j.urp.20230803.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.urp.20230803.14},
  abstract = {The main feature of Addis Ababa's light railway (AALR) ticketing window is either congestion or underutilized 106 – 137 and 12 - 18 percent respectively. That is why the study set the main objective to analyze and optimize AALR ticketing windows. So, the researcher first studied the problem for the specified ticketing windows. Secondly, establish and analyze the performance of a new model for the current and future design periods. And finally, it recommends the number of clerks based on the findings. The congestion and underutilization problem of each ticketing window is solved through a mathematical method called Queue Theory with a combination of special and statically analysis methods and train timetable optimization of urban railway by Arena. The study indicates that the congestion rate of the AALR at the congested station is between 106 & 137%. Similarly, the underutilization of the ticketing window is between 12 & 18%. Therefore, the result indicates that adding a single clerk could reduce the traffic intensity to 82% in congested windows. Similarly, reducing to 2 clerks can improve up to 35.5% the underutilization window. Finally, the optimum number of clerks required for the rest of the design period is determined and summarized using a combination of queuing theory, spatial and analytical method and Arena software timetable optimization.},
 year = {2023}
}

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