Traditional food delivery services mainly rely on cars, which, despite their speed, negatively impact the environment and traffic. Bicycles and electric bikes offer a sustainable alternative, yet practical methods for assessing their viability for short-distance deliveries are lacking. Our study develops an algorithm to evaluate the environmental and operational feasibility of bike and e-bike delivery services. By simulating delivery orders and considering demographic factors at potential order locations, the algorithm uses mapping APIs to gather travel data for bikes, e-bikes, and cars. This approach can be applied to any point of interest to simulate order locations and times, automatically extracting travel metrics, emissions, and costs. It also helps identify high-usage bike routes for infrastructure improvements. Testing this algorithm at two Domino’s Pizza branches in Logan, Utah, showed that a mixed fleet is optimal, with bikes or e-bikes economically feasible for deliveries up to 3.6 km, reducing CO2 emissions by 84.2% compared to cars.


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    Title :

    Sustainable Food Delivery: A Comparative Analysis of Biking—E-Biking versus Motorist


    Contributors:

    Conference:

    International Conference on Transportation and Development 2025 ; 2025 ; Glendale, Arizona



    Publication date :

    2025-06-05




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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