Analysis and Optimization of Addis Ababa Light Railway Ticketing Window

Tamene Taye Worku; Yeserah Gebeyehu Asegie

doi:doi:10.11648/j.urp.20230803.14

| Peer-Reviewed

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

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

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), 2024. Published by Science Publishing Group

Keywords

Optimization, Queue Theory, Waiting Time

References

[1]	Ituen U., Williams U., “Queuing Theory Application at Ticket Windows in Railway Stations: A Study of the Lagos Terminus Iddo, Lagos state, Nigeria”, Equatorial Journal of Computational and Theoretical Science, vol. 2, no. 1, 2017, pp. 1 - 5. Available file:///C:/Users/TameneTaye/Downloads/SSRN-id3012477.pdf
[2]	Selvapandian D, Ravi J, Mohan J, Sabareesh H, Sathish Kumar G., “Application of Queueing theory to Salem railway ticket counters”, International Journal of Statistics and Applied Mathematics, vol. 3, no. 3, 2018, pp. 203–207.
[3]	Mohan J, Sabareesh H, Muthukumar R, Niranjana A., “Queuing Model (M / M / C: ∞ / FIFO) to Erode Railway Ticket Counters”, International Journal of Scientific Development and Research, vol. 3, no. 11, 2018, pp. 382– 385. Available. https://www.ijsdr.org/papers/IJSDR1811067.pdf
[4]	Xu X. Y, Liu J, Li H. Y., Hu J. Q., “Analysis of subway station capacity with the use of queueing theory”, Transportation Research Part C Emerging Technologies, vol. 38, 2014, pp. 28–43. doi. 10.1016/j.trc.2013.10.010.
[5]	Tamene T., “Improving Addis Ababa Light Railway Transit Service Using Queue Theory and Monte-Carlo Simulation Models: Case of Torhailoch and Lideta Stations”, Addis Ababa University intuitional repository, 2019. URI: http://etd.aau.edu.et/handle/123456789/21889
[6]	Assefa T., “Investigation on the Performance of Train Timetable for the Case of Addis Ababa Light Rail Transit (AA-LRT)”, International Institute for Science, Technology and Education (IISTE), vol. 7, no. 2, 2017, pp. 35–53.
[7]	Ugwa M., Okonkwo C. J., Okonkwo I. A., “The application of queuing theory in the effective management of time in money deposit banks: A study of Zenith bank plc in Enugu metropolis”, Research Journal of Social Science & Management – RJSSM International journals research publication’s, vol. 5, 2015, no. 8. Available. https://www.researchgate.net/publication/321013145
[8]	Arthur C., Samuel J., Aidan L., Alexander W., “Optimal Call Center Staffing via Simulation”, Department of Mathematics and Statistics, Kenyon College, 2016, Available. https://evoq-eval.siam.org/Portals/0/Publications/SIURO/Vol9/Optimal_Call_Center_Staffing_Simulation.pdf?ver=2018-04-06-152045-577
[9]	Green L., “Queueing theory and modelling”, Graduate School of Business, Columbia University, New York, New York 10027.
[10]	Reyniers D, Taha H. A., “Operations Research: An Introduction 4^th Edition”, The Journal of the Operational Research Society, Springer nature, 1989. Available https://doi.org/10.1057/jors.1989.181
[11]	Hamdy A. T., “Operation Research: An introduction 8th edition”, Persons practice hall, 2007.
[12]	Frederick S. H., Gerald J. L., “Introduction to operations research 7th edition”, McGraw Hill Higher Education, 2001.
[13]	Ravi P. G., “Remote Sensing Geology 3rd Edition”, Springer nature, 2017, pp. 627. https://doi.org/10.1007/978-3-662-55876-8
[14]	Paramasivam C. R., Venkatramanan S., “In GIS and Geostatistical Techniques for Groundwater Science”, Elsevier, 2019, p. 23-30. Available. https://doi.org/10.1016/B978-0-12-815413-7.00003-1
[15]	Aklilu A., Necha T., “Analysis of the Spatial Accessibility of Addis Ababa’s Light Rail Transit: The Case of East–West Corridor”, Urban Rail Transit, vol. 4, no. 1, 2018, pp. 35–48. Available. https://doi.org/10.1007/s40864-018-0076-6
[16]	Dipti R. M., “An Economic Analysis of Light Rail Transit in Addis Ababa Ethiopia”, European academic research, vol. 3, no. 3, 2015.
[17]	Kidanemariam B. H., Mulu G., Tsegay G. T., Kenichi O., “Ethiopian productivity report”, Policy Studies Institute (PSI) in Addis Ababa and the National Graduate Institute for Policy Studies (GRIPS) in Tokyo, 2020. Available. ETproductivityreport_20200212.pdf (psi.org.et)
[18]	Stoilova S., Stoev V., “Methodology of transport scheme selection for metro trains using a combined simulation-optimization model”, Promet–Traffic & Transportation, vol. 29, no. 1, 2016, pp. 23-33. Available doi: 10.7307/ptt.v29i1.2139.

Cite This Article

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

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 -

Copy | Download

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

Download PDF

Sections

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download