Predicting new forms of activity/mobility patterns enabled by shared-mobility services through a needs-based stated-response method: Case study of grocery shopping

One-way carsharing systems are increasingly-prevalent in urban areas, though little is known about their impacts on activity-travel behavior, particularly their effects on usage of motorized and non-motorized travel. Such systems require privileged access to publicly-controlled street space, and in order to prepare suitably for negotiations regarding the price and terms of such access, transport planners require techniques to analyze their usage and impacts. In contrast to previous methods, this study employs activity/mobility behavior as the quantity under study rather than aggregate travel distance. A stated-response method is presented to predict the impacts of one-way carsharing. The survey instrument is based on needs-based theory, in which multiple activity episodes undertaken in service of a broader personal objective are analyzed as a pattern of linked behavior. Food shopping was the activity type employed in the empirical analysis. Substantive findings relating to the impacts of one-way carsharing are discussed, as well as limitations imposed by the survey protocol and limited sample size (n=72). It was found that non-car-owning respondents within the sample would use one-way carsharing to allow them to shop for food less frequently, would visit fewer distinct food shops, and would spend less time traveling for food shopping purposes. Instrument effects specific to this method are also discussed.

• Record URL:
  https://doi.org/10.1016/j.tranpol.2013.12.008
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0967070X14000043
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/29485010
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Le Vine, Scott
  • Adamou, Orestes
  • Polak, John
• Publication Date: 2014-3

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 60-68
• Serial:
  • Transport Policy
  • Volume: 32
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0967-070X
  • Serial URL: http://www.elsevier.com/locate/issn/096707X

Subject/Index Terms

• TRT Terms: Activity choices; Case studies; Shopping trips; Surveys; Travel demand; Travel patterns; Vehicle sharing
• Subject Areas: Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01521940
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 14 2014 10:10AM