Context-aware stated preferences with smartphone-based travel surveys

Stated preferences surveys are most commonly used to provide behavioral insights on hypothetical travel scenarios such as new transportation services or attribute ranges beyond those observed in existing conditions. When designing SP surveys, considerable care is needed to balance the statistical objectives with the realism of the experiment. This paper presents an innovative method for smartphone-based stated preferences (SP) surveys leveraging state-of-the-art smartphone-based survey platforms and their revealed preferences sensing capabilities. A random experimental design generates context-aware SP profiles using user specific socioeconomic characteristics and past travel data along with relevant web data for scenario generation. The generated choice tasks are automatically validated to reduce the number of dominant or inferior alternatives in real-time, then validated using Monte-Carlo simulations offline. In this paper the authors focus their attention on mode choice and design an experiment that considers a wide range of possible existing mode alternatives along with a new alternative on-demand mobility service that does not exist in real life. This experiment is then used to collect SP data or a sample of 224 respondents in the Greater Boston Area. A discrete mode choice model is estimated to illustrate the benefit of the proposed method in capturing current context-specific preferences in response to the new scenario.

• Record URL:
  • https://doi.org/10.1016/j.jocm.2019.03.001
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1755534518300381
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/17555345
• Supplemental Notes:
  • © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Danaf, Mazen
  • Atasoy, Bilge
  • de Azevedo, Carlos Lima
  • Ding-Mastera, Jing
  • Abou-Zeid, Maya
  • Cox, Nathaniel
  • Zhao, Fang
  • Ben-Akiva, Moshe
• Publication Date: 2019-6

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 35-50
• Serial:
  • Journal of Choice Modelling
  • Volume: 31
  • Issue Number: 0
  • Publisher: Elsevier Ltd
  • ISSN: 1755-5345
  • Serial URL: http://www.sciencedirect.com/science/journal/17555345

Subject/Index Terms

• TRT Terms: Mode choice; Revealed preferences; Smartphones; Stated preferences; Travel behavior; Travel surveys
• Geographic Terms: Greater Boston Area
• Subject Areas: Highways; Passenger Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01712089
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 22 2019 8:01PM