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Emission Estimation of On-Demand Meal Delivery Services Using a Macroscopic Simulation

Author

Listed:
  • Maren Schnieder

    (The Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK)

  • Chris Hinde

    (The Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK)

  • Andrew West

    (The Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK)

Abstract

While macroscopic simulations of passenger vehicle traffic within cities are now common practice, the integration of last mile delivery into a macroscopic simulation to evaluate the emissions has seldomly been achieved. In fact, studies focusing solely on last mile delivery generally focus on evaluating the delivery service itself. This ignores the effect the delivery service may have on the traffic flow in cities, and therefore, on the resulting emissions. This study fills this gap by presenting the results of two macroscopic traffic simulations of New York City (NYC) in PTV VISUM: (i) on-demand meal delivery services, where the emissions are evaluated for each OD-Pairs (i.e., each trip) and (ii) on-demand meal delivery services, where the emissions are evaluated for each link of the network (i.e., street). This study highlights the effect on-demand meal delivery has on the travelled distance (i.e., detours), congestion and emissions per km of every vehicle in the network, not just the delivery vehicles.

Suggested Citation

  • Maren Schnieder & Chris Hinde & Andrew West, 2022. "Emission Estimation of On-Demand Meal Delivery Services Using a Macroscopic Simulation," IJERPH, MDPI, vol. 19(18), pages 1-17, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11667-:d:916395
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    References listed on IDEAS

    as
    1. Maren Schnieder & Chris Hinde & Andrew West, 2021. "Land Consumption of Delivery Robots and Bicycle Couriers for On-Demand Meal Delivery Using GPS Data and Simulations Based on the Time-Area Concept," Sustainability, MDPI, vol. 13(20), pages 1-25, October.
    2. Charles R. Harris & K. Jarrod Millman & Stéfan J. Walt & Ralf Gommers & Pauli Virtanen & David Cournapeau & Eric Wieser & Julian Taylor & Sebastian Berg & Nathaniel J. Smith & Robert Kern & Matti Picu, 2020. "Array programming with NumPy," Nature, Nature, vol. 585(7825), pages 357-362, September.
    3. Perera, Loshaka & Thompson, Russell G. & Wu, Wenyan, 2021. "Toll and subsidy for freight vehicles on urban roads: A policy decision for City Logistics," Research in Transportation Economics, Elsevier, vol. 90(C).
    4. Xiaohong Jiang & Jianxiao Ma & Huizhe Zhu & Xiucheng Guo & Zhaoguo Huang, 2020. "Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China," IJERPH, MDPI, vol. 17(22), pages 1-19, November.
    5. Rosero, Fredy & Fonseca, Natalia & López, José-María & Casanova, Jesús, 2021. "Effects of passenger load, road grade, and congestion level on real-world fuel consumption and emissions from compressed natural gas and diesel urban buses," Applied Energy, Elsevier, vol. 282(PB).
    6. Maren Schnieder & Chris Hinde & Andrew West, 2021. "Sensitivity Analysis of Emission Models of Parcel Lockers vs. Home Delivery Based on HBEFA," IJERPH, MDPI, vol. 18(12), pages 1-21, June.
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    Cited by:

    1. Maksymilian Mądziel, 2023. "Vehicle Emission Models and Traffic Simulators: A Review," Energies, MDPI, vol. 16(9), pages 1-31, May.
    2. Sunarso Radhitya V.P. & Wibowo Budhi S., 2023. "The Impact of Consolidating On-Demand Food Delivery on Sustainability: A Simulation Study," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 286-297, January.
    3. Jurgis Zagorskas & Zenonas Turskis, 2024. "Enhancing Sustainable Mobility: Evaluating New Bicycle and Pedestrian Links to Car-Oriented Industrial Parks with ARAS-G MCDM Approach," Sustainability, MDPI, vol. 16(7), pages 1-21, April.

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