BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Urban Freight Lab - ECPv6.3.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Urban Freight Lab
X-ORIGINAL-URL:https://urbanfreightlab.com
X-WR-CALDESC:Events for Urban Freight Lab
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240109T133000
DTEND;TZID=America/New_York:20240109T151500
DTSTAMP:20260430T165112
CREATED:20240109T080611Z
LAST-MODIFIED:20240109T081426Z
UID:7270-1704807000-1704813300@urbanfreightlab.com
SUMMARY:TRBAM: Freight Demand and Choice Modeling Using Advanced Data Sets (Poster Session 3176)
DESCRIPTION:Freight Demand and Choice Modeling Using Advanced Data Sets (Poster Session 3176)\n \nThis poster session brings in fifteen selected papers that use freight modeling for solving issues. \nPoster: Does Proximity Matter?: An Analysis of West Seattle Shopping Trends (TRBAM-24-05914) \nThis study analyzes how goods type as well as geographic factors affect consumer shopping behavior. In particular\, the choice of shopping in-person or using online options including home delivery\, as well as travel mode choice is studied. Data on shopping choices was collected through an anonymous survey distributed online over 3 months in summer 2022\, asking about consumers’ most recent shopping experience in one of four categories of goods: groceries\, household supplies\, restaurant food\, clothes. The sampled population were residents in the geographical area known as “West Seattle” within Seattle\, Washington. Discrete choice models are estimated to identify significant factors in shopping choice in addition to statistical testing of trends observed in survey responses. The results reveal a strong preference for driving when shopping in-person and a 10-minute preferred travel time when driving or walking. Online shopping is observed to rise above projections\, but preference for it is dependent on the type of goods being shopped for. Results suggest that proximity to destination and available of alternatives has a modest effect on likelihood of walking but imply that efforts to decrease vehicle trips for shopping will need to go beyond bringing establishments closer to residents. \nAuthors: \n\nRishi Verma\, University of Washington\, Seattle\nGiacomo Dalla Chiara\, University of Washington\nAnne Goodchild\, University of Washington\, Seattle
URL:https://urbanfreightlab.com/ufl-event/trbam-freight-demand-and-choice-modeling-using-advanced-data-sets/
LOCATION:Walter E. Washington Convention Center\, 801 Allen Y. Lew Place NW (formerly 801 Mt. Vernon Place NW)\, Washington\, DC\, United States
CATEGORIES:Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240109T154500
DTEND;TZID=America/New_York:20240109T173000
DTSTAMP:20260430T165112
CREATED:20240109T071236Z
LAST-MODIFIED:20240109T075911Z
UID:7255-1704815100-1704821400@urbanfreightlab.com
SUMMARY:TRBAM: Estimating Spatial Inequities in Last-Mile Delivery: A National Analysis (Poster Session 3224)
DESCRIPTION:New Research in Transportation Equity (Poster Session 3224)\n \nThis poster session features emerging research in transportation equity across a wide variety of domains\, including active transportation\, electric vehicles\, car use and ownership\, and novel metrics and indicators to measure equity. \nPoster: Estimating Spatial Inequities in Last-Mile Delivery: A National Analysis (TRBAM-24-00041) \nDespite large bodies of research related to the impacts of e-commerce on delivery sustainability\, there has been limited effort to evaluate urban freight using an equity lens. Therefore\, this study endeavors to unveil socio-spatial distributions of cargo van traffic in residential delivery supply chains in 41 U.S. Metropolitan Statistical Areas (MSAs). Evaluating 12 measurements across varying population segments and spatial units\, the study finds robust evidence for spatial inequities in last-mile delivery for low-income and\, especially\, non-white\, populations of color (POC). By the most conservative measurement\, POC are exposed to roughly 35% more cargo van traffic than white populations on average\, despite ordering less than half as many packages. Subsequently\, the study evaluates delivery efficiency improvement scenarios and finds outsized equity benefits for distribution-oriented solutions over consumer-oriented solutions. This study promotes data-driven discussions around incorporating equity into “sustainable” urban freight management strategies and broader city planning. \nAuthors: \n\nTravis Fried\, University of Washington\nAnne Goodchild\, University of Washington\, Seattle\nIvan Sanchez-Diaz\, Chalmers University of Technology\nMichael Browne\, University of Gothenburg: Goteborgs Universitet
URL:https://urbanfreightlab.com/ufl-event/trbam-new-research-in-transportation-equity-poster-session-3224/
LOCATION:Walter E. Washington Convention Center\, 801 Allen Y. Lew Place NW (formerly 801 Mt. Vernon Place NW)\, Washington\, DC\, United States
END:VEVENT
END:VCALENDAR