01697416

Component

The standard random utility model assumes fully rational and compensatory choice behaviour. However, various research studies have proven that non-compensatory /semi-compensatory choice behaviour is more realistic. This paper proposes a semi-compensatory framework for the discrete choice model that combines probabilistic choice set formation along with implicit choice constraints in choice making. It combines the Independent Availability Logit (IAL) with Implicit Constrained Multinomial Logit model (CMNL) to improve the performance of both approaches. The model is applied to investigate mode choice behaviour of the Ottawa-Gatineau regions of Canada’s capital by using the household travel survey data. The explanatory power and elasticity measures of the proposed model are compared with IAL and MNL models. It is found that IAL-CMNL model outperforms both IAL and MNL models and can reproduce choice set formation process more effectively. The empirical investigation shows that IAL-CMNL model results in relatively higher tolerance and softer constraints for cut-off violations compared to the IAL model. Elasticity calculations and outcomes of this research highlight the importance of capturing choice set formation and constrained choice behaviour in the choice modelling.

This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.

19-01465

English

21p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; References; Tables

Choice models; Households; Logits; Mode choice; Probability; Travel surveys

Ottawa-Gatineau (Canada)

Planning and Forecasting; Transportation (General)

Transportation Research Board Annual Meeting 2019 Paper #19-01465

TRIS, TRB, ATRI

Dec 7 2018 9:27AM