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Assessing Economic and Environmental Impacts of Mobile Crowdsourcing for Last Mile Delivery in South Africa’s E-Grocery Sector: A Simulation-Based Approach

In: Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems

Author

Listed:
  • Aaron Luntala Nsakanda

    (Carleton University
    University of South Africa)

  • Marcia Mkansi

    (University of South Africa)

  • Anthea Amadi-Echendu

    (University of South Africa)

  • Masilela Phumlani

    (University of South Africa)

Abstract

This paper assesses the economic and environmental impacts of a mobile crowdsourcing model for last-mile delivery in South Africa’s e-grocery sector. Unlike traditional models that introduce additional vehicles, this approach leverages existing commuter traffic. A simulation-based methodology is used to quantify its effects, applied to a case study of a major South African distributor. Findings highlight the model’s potential to reduce distance travelled, lower CO2 emissions, lower costs, and support sustainable logistics in urban, rural, and township areas, The study provides insights into how mobile crowdsourcing can transform last-mile delivery in developing regions, while balancing economic viability and environmental responsibility.

Suggested Citation

  • Aaron Luntala Nsakanda & Marcia Mkansi & Anthea Amadi-Echendu & Masilela Phumlani, 2026. "Assessing Economic and Environmental Impacts of Mobile Crowdsourcing for Last Mile Delivery in South Africa’s E-Grocery Sector: A Simulation-Based Approach," Springer Proceedings in Business and Economics, in: Fabiano Armellini & Syrine Njah & Elaine Mosconi & Breno Nunes (ed.), Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems, pages 375-381, Springer.
    • Handle: RePEc:spr:prbchp:978-3-032-23282-3_45
    DOI: 10.1007/978-3-032-23282-3_45
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