Final 50 Feet of the Urban Goods Delivery System: Pilot Test of an Innovative Improvement Strategy [supporting dataset]

Details

• Alternative Title:
  Commercial Vehicle Delivery Activities in Seattle, WA Dataset title
• Creators:
  Goodchild, Anne V.
• Corporate Creators:
  Pacific Northwest Transportation Consortium (PacTrans) (UTC)
• 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
• Subject/TRT Terms:
  • Delivery service
  • Dwell time
  • Parking
  • Pilot studies
  • Truck traffic
  • Urban areas
  • Urban goods movement
  • Supply Chain Logistics
  • Transportation Engineering
  • Parking
  More +
• DOI:
  https://doi.org/10.7910/DVN/UHYGAW
• Resource Type:
  Dataset
• Geographical Coverage:
  Seattle (Washington) ; United States
• Corporate Publisher:
  Pacific Northwest Transportation Consortium (PacTrans) (UTC)
• Abstract:
  Data was collected over a total of 20 days, covering the period both before and after the locker installation at the Seattle Municipal Tower. Data collectors at the loading bay systematically tracked the number of trucks, total truck dwell time, truck parking location, the number and size distribution of parcels delivered, the number of packages picked up at the Tower, and the number of failed deliveries. After the locker was installed, data was collected to compare delivery time between floor-to-floor, door-to-door delivery and delivery to the locker. The research team developed a thorough data-collection process that included: • Developing two mobile applications in iPhone Operating System (IOS) as a data-collection tool • Recruiting and scheduling 11 data collectors to cover the 8 am to 4 pm shifts at the Seattle Municipal Tower during the pilot test • Training data collectors with both theoretical and in-field sessions • Managing data-collection tools (e.g. clipboards, iPads, safety vests) • Performing quality control on collected data (data cleaning)
• Format:
  ZIP
• Funding:
  69A3551747110
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/56567/dot_56567_DS1.pdf
• File Type:
  [PDF - 168.18 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:a3ab04482659f78269bddd114ce24cfdafbf714b22558d952cb4c895650150ad3cb0d3f8f5150a65b4189f6014b70460a9558420048ffc1d9290e2ef966cbb72