How do travellers decide: a stochastic modelling approach to determine decision factor significance

Olusola, Faboya T.; Siebers, Olaf; Ryan, Brendan; Figueredo, Grazziela P.

Abstract

Many factors are involved in travellers' mode choice decision processes. Such factors include individuals' physical, cognitive, and emotional abilities, which play a significant role in travellers' attitude and mode usage patterns. Understanding how important each of these factors is to individuals, as well as understanding their impact on travellers' behaviour in general, will assist policymakers to provide appropriate interventions when necessary. To gain this understanding, we propose to use a stochastic modelling, supported by a fuzzy inference system. In this paper, we describe our approach and demonstrate it with the help of a case study, looking at cyclists and private vehicle users in the context of travelling to and from a university. The aim is to understand which of the travel requirements (physical, cognitive, and affective) is considered most when people are planning for their journey, and to understand the level of efforts regarding the three factors required to make use of their mode. The results show that both sets of travellers engage more with their cognitive aspect during journey planning, but cyclists have a higher cognitive share as a result of optimising safe routes to the university.

Citation

Olusola, F. T., Siebers, O., Ryan, B., & Figueredo, G. P. (2018, September). How do travellers decide: a stochastic modelling approach to determine decision factor significance. Presented at European Modeling and Simulation Symposium 2018 (EMSS2018), Budapest, Hungary

• Presentation Conference Type: Conference Paper (published)
• Conference Name: European Modeling and Simulation Symposium 2018 (EMSS2018)
• Start Date: Sep 17, 2018
• End Date: Sep 19, 2018
• Acceptance Date: Jun 18, 2018
• Online Publication Date: Sep 17, 2018
• Publication Date: Sep 17, 2018
• Deposit Date: Jan 5, 2019
• Publicly Available Date: Jan 7, 2019
• Pages: 361-370
• Keywords: stochastic modelling; fuzzy-intelligence; abstraction hierarchy; mode choice; travel requirements
• Public URL: https://nottingham-repository.worktribe.com/output/1407902
• Additional Information: Proceedings of the European Modeling and Simulation Symposium 2018 (EMSS2018), 17-19 Sep, Budapest, Hungary
• Contract Date: Jan 5, 2019