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An Assessment of Time Performance Metrics of Lift Systems in Selected Public High-Rise Buildings in Abuja, Nigeria

Received: 4 February 2022    Accepted: 21 February 2022    Published: 18 March 2022
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Abstract

Lift systems in high-rise buildings are often confronted with problems associated with optimum service delivery. The optimum performance of these systems in public high-rise buildings enhances the efficiency of vertical transportation systems. Time performance parameters like the Average Waiting Time (AWT), Transit Time (TRT), and Time to Destination (TTD) are amongst the key performance indicators for examining the performance of lift systems in high-rise buildings. This study assessed the performance times of lift systems of selected high-rise buildings in Abuja city with the view to enhancing the efficiency of vertical transport systems in buildings. Field measurements on the AWT, TRT, and TTD were performed and a well-structured checklist was used for the collection of relevant data on 14 selected high-rise buildings and 41 lift systems in the Central Business District (CBD) of Abuja city. A digital stopwatch was used to measure the AWT and TRT while TTD was derived from the simple computation of AWT and TRT. All the measured parameters were evaluated against the standard performance requirements for an ideal lift system. Findings from the study show that 100% of the lifts installed in these buildings are traction lift types with 90% having an average rated speed of 1.0m/s. Results from the analysis showed that 85.7% of the buildings have lift systems with AWT above the minimum standard requirement. Significant differences (p<0.05) in the mean values of AWT, TRT, TTD were observed. Based on the findings, the assessed lift systems were considered to perform below the expected standard as the majority of buildings experienced long waiting times. This study has provided performance data for optimizing the service delivery of lift systems in high-rise buildings in Nigeria.

Published in International Journal of Atmospheric and Oceanic Sciences (Volume 6, Issue 1)
DOI 10.11648/j.ijaos.20220601.11
Page(s) 1-6
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

Lift Systems, Average Waiting Time, Transit Time, Time to Destination, High-rise Building

References
[1] Wood, A., (2014). Best Tall Buildings. In Proceedings of the CTBUH Award Ceremony. Illinois Institute of Technology (IIT): Chicago, IL, USA.
[2] Aliyu, A. A., Hussaini, A. F., Abubakar, M Baba G. B., & Mu’awuya, M. A. (2015). Problems Associated with Elevators in High-Rise Commercial Buildings in North-Western State Capitals of Nigeria. Journal of Energy Technologies and Policy, 5 (12): 62-69.
[3] Adekomaya, O., & Samuel, O. D. (2016). Assessment of Risk in Maintenance and Repairs of Elevators in Nigeria. Industrial Engineering Letters, 5 (5): 95-101.
[4] Neyfakh, L., (2015). How the Elevator Transformed America. The Boston Globe. Retrieved https://www.bostonglobe.com/ideas/2014/03/02/how-elevator-transformed-america/b8u17Vx897wUQ8zWMTSvYO/story.html.
[5] Challinger D. (2008). From the Ground up: Security for Tall Building CRISP Report. Alexandria, VA: ASIS Foundation Research Council.
[6] Stanley, A. M., (2019). Transport systems in buildings [PowerPoint slides] Unpublished manuscript, BLDS803, Ahmadu Bello University Zaria. Nigeria.
[7] Pearson J. R. & Wittels, K. (2008). Real Options in Action: Vertical Phasing in Commercial Real Estate Development. New York: Prentice-Hall.
[8] Caporale B (2004). Editor’s Overview, Calling all Cars and Traffic Analysts. Elevator World, 52 (9): 4. September 2004.
[9] NEII (National Elevator Industry, Inc) (2017). Vertical Transportation Standards. Retrieved from http://www.neii.org/neii1.cfm.
[10] CIBSE (2010). CIBSE Guide D: Transportation Systems in Buildings. The Chartered Institution of Building Services Engineers; London.
[11] British Council for Offices (BCO) (2009). BCO Guide to Specification for lift design standards. London: The British Council for Offices. Retrieved from https://www.gardiner.com /publication-uploads/BCO-Specification-For-Offices.pdf.
[12] Linderman, M. (2008). Defining the problem of elevator waiting times. Retrieved fromhttps://signalvnoise.com/posts/1244-defining-the-problem-of-elevator-waiting-times.
[13] Alhassan, H. F., (2014). Management Problems Associated with Multi-Tenanted High-Rise Commercial Buildings. A Paper Presentation at Eight African Regional Conference on Sustainable Development. Port Harcourt, Nigeria.
[14] Al-Sharif, L. (2016). Modern Elevator Traffic Engineering: Elevator Traffic Surveys. An article on Selected Topics in Mechatronics: Elevator Traffic Analysis and Design, 25 (4): 133-187.
[15] National Population Commission (NPC) (2006). Analytical Report of 2006 population Census of the Federal Republic of Nigeria. NPC, Abuja. December.
[16] Central Business District Abuja (2020). Retrieved from https://www.abuja-ng.com/central-business-district.html.
[17] Australia Standard and New Zealand Standard (AS/NZS) (2012). Platform lifts and low-speed lifts. Retrieved from https://shop.standa rds..nz/catalog/4334:2012(NZS)/scope.
[18] Jonathan, W. C. Ng & Carrie, K. Y. L. (2016). Planning the Capacity of a Hospital Lift System. International Journal of Innovation, Management, and Technology, 7 (5): 196-199.
Cite This Article
  • APA Style

    Emmanuel Chongcicimmi Ibrahim, Olugbenga Ayeni, Ibrahim Isah, Buhari Mohammed Manzuma, Andrew Mhya Stanley. (2022). An Assessment of Time Performance Metrics of Lift Systems in Selected Public High-Rise Buildings in Abuja, Nigeria. International Journal of Atmospheric and Oceanic Sciences, 6(1), 1-6. https://doi.org/10.11648/j.ijaos.20220601.11

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    ACS Style

    Emmanuel Chongcicimmi Ibrahim; Olugbenga Ayeni; Ibrahim Isah; Buhari Mohammed Manzuma; Andrew Mhya Stanley. An Assessment of Time Performance Metrics of Lift Systems in Selected Public High-Rise Buildings in Abuja, Nigeria. Int. J. Atmos. Oceanic Sci. 2022, 6(1), 1-6. doi: 10.11648/j.ijaos.20220601.11

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    AMA Style

    Emmanuel Chongcicimmi Ibrahim, Olugbenga Ayeni, Ibrahim Isah, Buhari Mohammed Manzuma, Andrew Mhya Stanley. An Assessment of Time Performance Metrics of Lift Systems in Selected Public High-Rise Buildings in Abuja, Nigeria. Int J Atmos Oceanic Sci. 2022;6(1):1-6. doi: 10.11648/j.ijaos.20220601.11

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  • @article{10.11648/j.ijaos.20220601.11,
      author = {Emmanuel Chongcicimmi Ibrahim and Olugbenga Ayeni and Ibrahim Isah and Buhari Mohammed Manzuma and Andrew Mhya Stanley},
      title = {An Assessment of Time Performance Metrics of Lift Systems in Selected Public High-Rise Buildings in Abuja, Nigeria},
      journal = {International Journal of Atmospheric and Oceanic Sciences},
      volume = {6},
      number = {1},
      pages = {1-6},
      doi = {10.11648/j.ijaos.20220601.11},
      url = {https://doi.org/10.11648/j.ijaos.20220601.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaos.20220601.11},
      abstract = {Lift systems in high-rise buildings are often confronted with problems associated with optimum service delivery. The optimum performance of these systems in public high-rise buildings enhances the efficiency of vertical transportation systems. Time performance parameters like the Average Waiting Time (AWT), Transit Time (TRT), and Time to Destination (TTD) are amongst the key performance indicators for examining the performance of lift systems in high-rise buildings. This study assessed the performance times of lift systems of selected high-rise buildings in Abuja city with the view to enhancing the efficiency of vertical transport systems in buildings. Field measurements on the AWT, TRT, and TTD were performed and a well-structured checklist was used for the collection of relevant data on 14 selected high-rise buildings and 41 lift systems in the Central Business District (CBD) of Abuja city. A digital stopwatch was used to measure the AWT and TRT while TTD was derived from the simple computation of AWT and TRT. All the measured parameters were evaluated against the standard performance requirements for an ideal lift system. Findings from the study show that 100% of the lifts installed in these buildings are traction lift types with 90% having an average rated speed of 1.0m/s. Results from the analysis showed that 85.7% of the buildings have lift systems with AWT above the minimum standard requirement. Significant differences (p<0.05) in the mean values of AWT, TRT, TTD were observed. Based on the findings, the assessed lift systems were considered to perform below the expected standard as the majority of buildings experienced long waiting times. This study has provided performance data for optimizing the service delivery of lift systems in high-rise buildings in Nigeria.},
     year = {2022}
    }
    

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    AU  - Emmanuel Chongcicimmi Ibrahim
    AU  - Olugbenga Ayeni
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    AU  - Buhari Mohammed Manzuma
    AU  - Andrew Mhya Stanley
    Y1  - 2022/03/18
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijaos.20220601.11
    DO  - 10.11648/j.ijaos.20220601.11
    T2  - International Journal of Atmospheric and Oceanic Sciences
    JF  - International Journal of Atmospheric and Oceanic Sciences
    JO  - International Journal of Atmospheric and Oceanic Sciences
    SP  - 1
    EP  - 6
    PB  - Science Publishing Group
    SN  - 2640-1150
    UR  - https://doi.org/10.11648/j.ijaos.20220601.11
    AB  - Lift systems in high-rise buildings are often confronted with problems associated with optimum service delivery. The optimum performance of these systems in public high-rise buildings enhances the efficiency of vertical transportation systems. Time performance parameters like the Average Waiting Time (AWT), Transit Time (TRT), and Time to Destination (TTD) are amongst the key performance indicators for examining the performance of lift systems in high-rise buildings. This study assessed the performance times of lift systems of selected high-rise buildings in Abuja city with the view to enhancing the efficiency of vertical transport systems in buildings. Field measurements on the AWT, TRT, and TTD were performed and a well-structured checklist was used for the collection of relevant data on 14 selected high-rise buildings and 41 lift systems in the Central Business District (CBD) of Abuja city. A digital stopwatch was used to measure the AWT and TRT while TTD was derived from the simple computation of AWT and TRT. All the measured parameters were evaluated against the standard performance requirements for an ideal lift system. Findings from the study show that 100% of the lifts installed in these buildings are traction lift types with 90% having an average rated speed of 1.0m/s. Results from the analysis showed that 85.7% of the buildings have lift systems with AWT above the minimum standard requirement. Significant differences (p<0.05) in the mean values of AWT, TRT, TTD were observed. Based on the findings, the assessed lift systems were considered to perform below the expected standard as the majority of buildings experienced long waiting times. This study has provided performance data for optimizing the service delivery of lift systems in high-rise buildings in Nigeria.
    VL  - 6
    IS  - 1
    ER  - 

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Author Information
  • Department of Building, Faculty of Environmental Design, Ahmadu Bello University, Zaria, Nigeria

  • Department of Building, Faculty of Environmental Design, Ahmadu Bello University, Zaria, Nigeria

  • Department of Building, Faculty of Environmental Design, Ahmadu Bello University, Zaria, Nigeria

  • Department of Building, Faculty of Environmental Design, Ahmadu Bello University, Zaria, Nigeria

  • Department of Building, Faculty of Environmental Design, Ahmadu Bello University, Zaria, Nigeria

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