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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Distribution Problems in eCommerce Fulfillment</title>
      <link>https://rip.trb.org/View/1845544</link>
      <description><![CDATA[In this project the research team considers an omnichannel retailer that operates both brick-and-mortar stores and super warehouses.  The retailer’s objective is to meet traditional and eCommerce fulfillment demands that can be grouped into three representative modes:  shopping in store, ordering on-line and delivering from warehouse or store, ordering on-line and picking up at store.   On the supply side, the retailer must decide the inventory at the store, the express delivery capacity, the delivery premium, and the just-in-time inventory replenishment for stores.  On the demand side, a consumer must consider in her utility of each fulfillment mode such factors as the cost of transportation, the delivery fee, the cost/risk of shopping in store, and the likelihood of unsatisfactory on-line purchase.  The research team formulates this omnichannel fulfillment model as a leader-follower game, in which the leader maximizes the retailer’s profits, and the follower allocates consumer demands between the three channels according to utility maximization.  The properties of the problem will be analyzed, and the solution methods will be developed. A case study will be constructed by calibrating a stylized model using empirical data. ]]></description>
      <pubDate>Thu, 08 Apr 2021 11:58:05 GMT</pubDate>
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      <title>The Impacts of Covid-19 on US Retail: An Empirical Investigation</title>
      <link>https://rip.trb.org/View/1845535</link>
      <description><![CDATA[Covid-19 clearly increased the demand for online shopping. But Covid likely also affected offline shopping: the timing, frequency, and duration of customers’ store visits are all likely different because of Covid. Moreover, both the online and the offline effects of Covid likely vary by location. And these effects have strategic implications for retailers’ omnichannel portfolios. For example, big brick-and-mortar players such as Target and Walmart managed to use curbside pickup to grow both their revenues and their profits during Covid. The research team aims to empirically understand Covid’s effects on customers’ shopping behavior, and the resulting implications for retailers’ omni-channel portfolios. The research team is especially interested in retailers with strong brick-and-mortar assets (such as Walmart and Target). ]]></description>
      <pubDate>Wed, 07 Apr 2021 19:11:06 GMT</pubDate>
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      <title>Synthesis of Information Related to Airport Practices. Topic S01-13. How Airports Document Costs for Non-airline Tenant Rents and Charges</title>
      <link>https://rip.trb.org/View/1377079</link>
      <description><![CDATA[TRB's Airport Cooperative Research Program (ACRP) Synthesis 81: "Food and Beverage and Retail Operators: The Costs of Doing Business at Airports" explores ways to comprehend the complex airport terminal operating environment in order to understand and forecast operating costs and to judge the potential for success and profitability. The synthesis compiles practices of airports to improve the communication of cost data to better evaluate and make decisions based on the total cost of doing business at airports. 

]]></description>
      <pubDate>Wed, 09 Dec 2015 10:31:46 GMT</pubDate>
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