IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v84y2020ics0739885920301487.html
   My bibliography  Save this article

Effective municipal solid waste collection using geospatial information systems for transportation: A case study of two metropolitan cities in Pakistan

Author

Listed:
  • Hina, Syeda Mahlaqa
  • Szmerekovsky, Joseph
  • Lee, EunSu
  • Amin, Muhammad
  • Arooj, Syeda

Abstract

Transportation plays a leading role in waste collection and disposal for solid waste management as collection activities account for the majority of the cost of solid waste management. This study proposes a methodology for routing collection vehicles in the twin cities (i.e. Islamabad and Rawalpindi) of Pakistan. In particular, the study's application-based vehicle routing problem (VRP) accommodates a variety of practical rules such as zone constraints, vehicle capacities, time windows, road infrastructure, and commodity type. As a pilot study, eleven routes were selected in different areas of the twin cities to minimize the length of the routes and consequently the time taken to complete the collection. Results indicate that travel distance was reduced by up to 18% in Islamabad and 9% in Rawalpindi. The collection time was also reduced from 7.5 h to 5.8 h and 8.3 h–7.2 h for Islamabad and Rawalpindi, respectively. Our research provides a decision support tool for municipal administrators for efficient management of the daily operations of solid waste management. Other spatial data can be added in the future to enhance the utility of our model, such as generation of capacity for various residential areas, types of dumping vehicles, and enhanced road network operations.

Suggested Citation

  • Hina, Syeda Mahlaqa & Szmerekovsky, Joseph & Lee, EunSu & Amin, Muhammad & Arooj, Syeda, 2020. "Effective municipal solid waste collection using geospatial information systems for transportation: A case study of two metropolitan cities in Pakistan," Research in Transportation Economics, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:retrec:v:84:y:2020:i:c:s0739885920301487
    DOI: 10.1016/j.retrec.2020.100950
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885920301487
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2020.100950?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Usman Mustafa & Iftikhar Ahmad & Miraj ul Haq, 2014. "Capturing Willingness to Pay and Its Determinants for Improved Solid Waste Management," PIDE-Working Papers 2014:110, Pakistan Institute of Development Economics.
    2. Huang, Shan-Huen & Lin, Pei-Chun, 2015. "Vehicle routing–scheduling for municipal waste collection system under the “Keep Trash off the Ground” policy," Omega, Elsevier, vol. 55(C), pages 24-37.
    3. Muhammad Qasim & Malik Muhammad Anees & Muhammad Usman Ghani & Jahanzaib Malik & Moeen Khalid & Aroj Bashir, 2014. "Environment Degradation Cause by Urbanization in Pakistan: A Review," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 2(3), pages 62-71, September.
    4. Daskalopoulos, E & Badr, O & Probert, S.D, 1997. "Economic and Environmental Evaluations of Waste Treatment and Disposal Technologies for Municipal Solid Waste," Applied Energy, Elsevier, vol. 58(4), pages 209-255, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samuel Yaw Lissah & Martin Amogre Ayanore & John Krugu & Robert A. C. Ruiter, 2020. "Psychosocial Risk, Work-Related Stress, and Job Satisfaction among Domestic Waste Collectors in the Ho Municipality of Ghana: A Phenomenological Study," IJERPH, MDPI, vol. 17(8), pages 1-19, April.
    2. Ali Ebadi Torkayesh & Hadi Rezaei Vandchali & Erfan Babaee Tirkolaee, 2021. "Multi-Objective Optimization for Healthcare Waste Management Network Design with Sustainability Perspective," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    3. Yang, Tiannuo & Chu, Zhongzhu & Wang, Bailin, 2023. "Feasibility on the integration of passenger and freight transportation in rural areas: A service mode and an optimization model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    4. Noukignon Koné, 2016. "Willingness to pay of the households to a waste management improvement in the precarious districts of Abidjan (Ivory Coast)," Economics Bulletin, AccessEcon, vol. 36(3), pages 1791-1804.
    5. Giuseppe Lucio Gaeta & Stefano Ghinoi & Francesco Silvestri, 2017. "Municipal performance in waste recycling: an empirical analysis based on data from the Lombardy region (Italy)," Letters in Spatial and Resource Sciences, Springer, vol. 10(3), pages 337-352, October.
    6. Anne Briand & Noukignon Kone, 2020. "Poverty eradication by improving waste collection: an African case study," Working Papers hal-02430455, HAL.
    7. Gambella, Claudio & Maggioni, Francesca & Vigo, Daniele, 2019. "A stochastic programming model for a tactical solid waste management problem," European Journal of Operational Research, Elsevier, vol. 273(2), pages 684-694.
    8. Anne Briand & Author-Name: Noukignon Koné, 2018. "Poverty eradication by improving waste collection: an African case study," Working Papers 20180003, UMR Développement et Sociétés, Université Paris 1 Panthéon-Sorbonne, Institut de Recherche pour le Développement.
    9. Ke, Liangjun & Zhai, Laipeng & Li, Jing & Chan, Felix T.S., 2016. "Pareto mimic algorithm: An approach to the team orienteering problem," Omega, Elsevier, vol. 61(C), pages 155-166.
    10. Syed Atif Bokhari & Zafeer Saqib & Sarah Amir & Salman Naseer & Muhammad Shafiq & Amjad Ali & Muhammad Zaman-ul-Haq & Azeem Irshad & Habib Hamam, 2022. "Assessing Land Cover Transformation for Urban Environmental Sustainability through Satellite Sensing," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    11. Dong, Jun & Chi, Yong & Zou, Daoan & Fu, Chao & Huang, Qunxing & Ni, Mingjiang, 2014. "Energy–environment–economy assessment of waste management systems from a life cycle perspective: Model development and case study," Applied Energy, Elsevier, vol. 114(C), pages 400-408.
    12. Varuvel, Edwin Geo & Mrad, Nadia & Tazerout, Mohand & Aloui, Fethi, 2012. "Experimental analysis of biofuel as an alternative fuel for diesel engines," Applied Energy, Elsevier, vol. 94(C), pages 224-231.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:retrec:v:84:y:2020:i:c:s0739885920301487. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.