Details:

• Alternative Title:
  Data for Travel Behavior in E-commerce: Raw data for survey 1 [Title from repository page]
• Creators:
  Giuliano, Genevieve ; Binder, Robert B ; Ha, Jaehyun ; Holmes, Andrea

  Giuliano, Genevieve ; Binder, Robert B ; Ha, Jaehyun ; Holmes, Andrea Less -
• Corporate Creators:
  METRANS Transportation Center (Calif.) ; National Center for Sustainable Transportation (NCST) ; University of Southern California, Los Angeles

  METRANS Transportation Center (Calif.) ; National Center for Sustainable Transportation (NCST) ; University of Southern California, Los Angeles Less -
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program

  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program Less -
• Subject/TRT Terms:
  [+]

  Automated Parcel Lockers Choice Models Consumer Behavior Delivery Service Demographics E-shopping Behavior Electronic Commerce Environmental Impacts Shopping Travel Behavior
• Publication/ Report Number:
  NCST-USC-RR-22-37
• DOI:
  https://doi.org/10.7910/DVN/G1DASJ
• Resource Type:
  Dataset
• Geographical Coverage:
  California ; United States

  California ; United States Less -
• Edition:
  Final Research Report (August 2020 – May 2022)
• Corporate Publisher:
  METRANS Transportation Center (Calif.) ; National Center for Sustainable Transportation (NCST) (UTC)

  METRANS Transportation Center (Calif.) ; National Center for Sustainable Transportation (NCST) (UTC) Less -
• Abstract:
  The growth of urban e-commerce has had enormous impacts on urban transportation and land use. Retailers are competing through free and 1- or 2-day delivery which has incentivized small-scale deliveries (small packages in small trucks) to personal residences. From an urban freight perspective, these trips are less efficient than large-scale deliveries to retail locations. However, there remain questions regarding the overall impact of online shopping on passenger travel and vehicle miles travelled (VMT). This project focuses on how delivery preferences affect individual travel behavior in California and the Greater Los Angeles Region. The research puts special emphasis on alternative delivery methods that cluster local deliveries, such as automated parcel lockers (APLs) offered by Amazon. Clustered local deliveries could reduce truck VMT while only marginally increasing passenger VMT. We conduct two separate but related surveys to explore the potential of APLs as an alternative for residence deliveries: The first survey examines e-shopping behavior in general; the second addresses the use of APLs. We find that that online shopping is ubiquitous. The pandemic increased e-shopping, expanding it to older age cohorts and more diverse products. The use of APLs is rare. Convenience is the dominant factor in delivery choice. The potential market for APLs could be increased if there were more locations available near home or workplace. Future research directions include modeling the impact of delivery methods on passenger VMT and incorporating product returns into our understanding of APL use.
  
  The total size of the described file is 2 MB. A TAB file is a tabular data file that can be opened using open source programs such as Notepad or other open source, tabular file readers.
  
  
• 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. The dataset is currently seperated into two parts. For part one, please visit https://doi.org/10.7910/DVN/G1DASJ. For part 2, please visit https://doi.org/10.7910/DVN/NDKAXS.
• Format:
  ZIP
• Funding:
  Caltrans 65A0686 Task Order 050 USDOT Grant 69A3551747114
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  [+]

  urn:sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855