Context-aware stated preferences with smartphone-based travel surveys
| Autor: | Mazen Danaf, Moshe Ben-Akiva, Maya Abou-Zeid, Jing Ding-Mastera, Fang Zhao, Nathaniel Cox, Bilge Atasoy, Carlos Lima Azevedo |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Service (systems architecture)
Travel behavior Operations research Computer science Sample (statistics) Context (language use) Random design 03 medical and health sciences 0502 economics and business Range (statistics) Stated preferences Mode choice 050210 logistics & transportation Focus (computing) Context-aware 030503 health policy & services 05 social sciences Mode (statistics) Modeling and Simulation SDG 9 - Industry Innovation and Infrastructure Smartphone Statistics Probability and Uncertainty 0305 other medical science |
| Zdroj: | Danaf, M, Atasoy, B, de Azevedo, C L, Ding-Mastera, J, Abou-Zeid, M, Cox, N, Zhao, F & Ben-Akiva, M 2019, ' Context-aware stated preferences with smartphone-based travel surveys ', Journal of Choice Modelling, vol. 31, pp. 35-50 . https://doi.org/10.1016/j.jocm.2019.03.001 Journal of Choice Modelling, 31 |
| ISSN: | 1755-5345 |
| Popis: | 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 we focus our 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. |
| Databáze: | OpenAIRE |
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