United States Department of Transportation
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Developing Environmentally Friendly Solutions for On-Demand Food Delivery Service [Supporting Dataset]
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2023-03-01
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Alternative Title:Simulation Data for On-Demand Food Delivery in Riverside, CA
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Edition:Final Research Report (February 2021 – June 2022)
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Abstract:Goods movement accounts for a significant and growing share of urban traffic, energy use and greenhouse gas emissions (GHGs). This project investigated the vehicle miles travelled (VMT) and emissions impact of on-demand food delivery under different COVID-19 pandemic periods and multiple operational strategies, with real-world scenarios set up in the city of Riverside, California. The evaluation results showed that during COVID-19 the total VMT and pollutant emissions (CO2, CO, HC, NOx) incurred by eat out demand all decreased by 25% compared with the before-COVID-19 period. The system can achieve substantial reductions in vehicle trips and emissions with higher penetration of on-demand delivery. From the dynamic operation perspective, the multi-restaurant strategy (allow food orders to be bundled from multiple restaurants in one driver’s tour) can bring 28% of VMT and and emissions reductions while avoiding introducing additional delay compared to the one-restaurant policy (only allow food orders from the same restaurant to be bundled in one driver’s tour). The research results indicate that the delivery platform should provide more reliable service with lower cost to increase the food delivery penetration level, which needs improvement in driver capacity management, eco-friendly delivery strategy, and efficient order allocation system. Meanwhile, to achieve maximum VMT and emissions reduction, the platform should encourage order bundling and employ a multi-restaurant policy to provide higher flexibility to group food orders, especially from restaurants located densely in one shopping plaza or commercial zone.
The total size of the described file is 21.7 MB. The .csv, Comma Separated Value, file is a simple format that is designed for a database table and supported by many applications. The .csv file is often used for moving tabular data between two different computer programs, due to its open format. Any text editor or spreadsheet program will open .csv files. File extension .md is a standard markdown file and can be opened in a basic text editor.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2023-07-27. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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