A latent class joint mode and departure time choice model for the Greater Toronto and Hamilton Area

Hossain, Sanjana; Hasnine, Md. Sami; Habib, Khandker Nurul

doi:10.1007/s11116-020-10092-1

Cited by 13 publications

(4 citation statements)

References 34 publications

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“…Finally, as future avenue of research we would like to explore how the different class assignment strategies behave in the context of the novel latent class logit specification with consumer-surplus feedback from the class-specific conditional logit models to the class assignment MNL model ( 34 – 36 ).…”

Section: Discussionmentioning

confidence: 99%

On Assignment to Classes in Latent Class Logit Models

Daziano

2022

Transportation Research Record: Journal of the Transportation R

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Random parameter logit models address unobserved preference heterogeneity in discrete choice analysis. The latent class logit model assumes a discrete heterogeneity distribution, by combining a conditional logit model of economic choices with a multinomial logit (MNL) for stochastic assignment to classes. Whereas point estimation of latent class logit models is widely applied in practice, stochastic assignment of individuals to classes needs further analysis. In this paper we analyze the statistical behavior of six competing class assignment strategies, namely: maximum prior MNL probabilities, class drawn from prior MNL probabilities, maximum posterior assignment, drawn posterior assignment, conditional individual-specific estimates, and conditional individual estimates combined with the Krinsky–Robb method to account for uncertainty. Using both a Monte Carlo study and two empirical case studies, we show that assigning individuals to classes based on maximum MNL probabilities behaves better than randomly drawn classes in market share predictions. However, randomly drawn classes have higher accuracy in predicted class shares. Finally, class assignment based on individual-level conditional estimates that account for the sampling distribution of the assignment parameters shows superior behavior for a larger number of choice occasions per individual.

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Section: Discussionmentioning

confidence: 99%

On Assignment to Classes in Latent Class Logit Models

Daziano

2022

Transportation Research Record: Journal of the Transportation R

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“…We consider the trade-offs made between dwelling choice and location choice through the estimation of two classes of discrete choice model: a latent class with feedbacks (LCF) model and a semi-compensatory independent availability logit (SCIAL) model (Habib, 2019;Hossain et al, 2020). In the first instance (LCF), the joint decision of dwelling and location is formulated as a pair of nested logit models.…”

Section: Methods Of Analysismentioning

confidence: 99%

The evolution of choice set formation in dwelling and location with rising prices: A decadal panel analysis in the Greater Toronto Area

Hawkins

Habib²

2021

JTLU

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Home location choice is based on both the characteristics of the dwelling (e.g., size, style, number of bedrooms) and the location (e.g., proximity to work, quality of schools, accessibility). Recent years have seen a steep increase in the price of housing in many major cities. In this research, we examine how these price increases are affecting the types of dwelling and locations considered by households. A large sample of real estate listings from 2006 and 2016 from the Greater Toronto Area is used to develop the empirical models. Two recently developed discrete choice models are used in the study: a nested logit model with latent class feedback (LCF) and a semi-compensatory independent availability logit (SCIAL) model. A method of alternative aggregation is proposed to overcome the computational hurdle that often impedes the estimation of choice set models. We find a significant increase in the probability of larger households considering townhouses and apartments over detached single-family dwellings between 2006 and 2016.

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“…The authors also concluded that the structure with commuting time choice made prior to the transport mode choice was more appropriate for their case study. However, Hossain et al [31] found mixed results in the structure of commuting mode and departure time choices in GTHA using the latent class model, in which more than 62% of commuters were more likely to switch departure times than transport modes and the rest were more likely to switch transport modes than departure times. Therefore, modeling the joint choice of ToD with mode and destination choices should consider not only time resolution but also the types of activities and the local conditions.…”

Section: Modeling the Activity Scheduling Processmentioning

confidence: 99%

Modeling and Structuring of Activity Scheduling Choices with Consideration of Intrazonal Tours: A Case Study of Motorcycle-Based Cities

Hoang

Adnan

et al. 2022

Sustainability

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The travel demand prediction of an activity-based travel demand model (ABM) is based on a hierarchical structure of multiple choices related to an individual’s activity scheduling. This structure has, however, not been investigated for motorcycle-based cities. The coarseness of the traffic analysis zoning system combined with mixed land use results in a large proportion of intrazonal trips, which demands model enhancement in ABMs for these cities. Using large-scale household travel survey data from Ho Chi Minh City, a major motorcycle-based city in Vietnam, this study investigated the hierarchical structure for non-work activity scheduling, with consideration of three dimensions: (1) activity starting time, (2) travel mode, and (3) destination choices at the tour level with attention given to the impacts of intrazonal tours. Multinomial logit and nested logit models were adopted for model development. Results showed that work durations in the schedule strongly affected the scheduling of non-work activities. The estimated logsum parameters showed empirical evidence that hierarchy could be different for different activity types. Our findings also suggested a significant impact of intrazonal tours on the structuring and modeling of activity scheduling choices. The validation result indicated that our proposed models’ predictive capability is acceptable.

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A latent class joint mode and departure time choice model for the Greater Toronto and Hamilton Area

Cited by 13 publications

References 34 publications

On Assignment to Classes in Latent Class Logit Models

On Assignment to Classes in Latent Class Logit Models

The evolution of choice set formation in dwelling and location with rising prices: A decadal panel analysis in the Greater Toronto Area

Modeling and Structuring of Activity Scheduling Choices with Consideration of Intrazonal Tours: A Case Study of Motorcycle-Based Cities

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