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- W4380488334 abstract "The prevalence of information and communication technologies has catalyzed the emergent on-demand meal delivery (ODMD) service. Order dispatching policies play a crucial role in determining the operational performance and environmental impact of ODMD system. In this paper, we proposed a comprehensive framework to evaluate meal delivery efficiency and quantify the corresponding environmental impact of ODMD system under different order dispatching policies. It consists of three components: (1) the real-world meal delivery operational context that is generated to simulate daily activities and travel patterns in the city of Riverside and construct the on-demand meal delivery scenarios; (2) an efficient optimization approach: rolling horizon-based adaptive large neighborhood search algorithm, to obtain order dispatching and routing decisions with the dynamic order demand and driver resources; and (3) an energy consumption and emission evaluation model developed via EMFAC to quantify the corresponding fuel consumption and pollutant emissions. With the proposed framework, three order dispatching policies are evaluated: One-Order-Per-Trip (One-O), One-Restaurant-Per-Trip (One-R), and Multi-Restaurant-Per-Trip (Multi-R). Simulation results show substantial benefits of having orders bundled in the One-R and Multi-R policies. The total travel distance is reduced by 14% and 30%, respectively, compared to the One-O policy. Meanwhile, the total number of delivery drivers is reduced by 36% and 60%, which shows great potential to relieve the urban traffic burdens, together with 14%–30% fuel consumption, GHG emissions, and criteria pollutant emissions reductions. Meanwhile, the service quality is maintained with only 1% of late orders." @default.
- W4380488334 created "2023-06-14" @default.
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- W4380488334 date "2023-06-13" @default.
- W4380488334 modified "2023-09-23" @default.
- W4380488334 title "Evaluating the Order Dispatching Strategies for a Dynamic On-Demand Meal Delivery System—A Case Study in the City of Riverside" @default.
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- W4380488334 doi "https://doi.org/10.1061/9780784484883.043" @default.
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