Developing a Latent Class Model Considering Heterogeneity in Mode Choice Behavior : A Case of Commuters in Seoul

As the parcel delivery service is booming in China, the competition among express companies intensifies. This paper employed multinomial logit model (MNL) and latent class model (LCM) to investigate customers’ express service choice behavior, using data from a SP survey. The attributes and attribute levels that matter most to express customers are identified. Meanwhile, the customers are divided into two segments (penny pincher segment and high-end segment) characterized by their taste heterogeneity. The results indicate that the LCM performs statistically better than MNL in our sample. Therefore, more attention should be paid to the taste heterogeneity, especially for further academic and policy research in freight choice behavior.

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Latent class model or mixed logit model? A comparison by transport mode choice data

Applied Economics ◽

10.1080/00036840801964633 ◽

2009 ◽

Vol 41 (22) ◽

pp. 2915-2924 ◽

Cited By ~ 105

Author(s):

Junyi Shen

Keyword(s):

Logit Model ◽

Latent Class ◽

Mode Choice ◽

Latent Class Model ◽

Mixed Logit ◽

Mixed Logit Model ◽

Choice Data ◽

Class Model ◽

Transport Mode

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Analysis of Travel Mode Choice Behavior Considering the Indifference Threshold

Sustainability ◽

10.3390/su11195495 ◽

2019 ◽

Vol 11 (19) ◽

pp. 5495 ◽

Cited By ~ 4

Author(s):

Zhang ◽

Guan ◽

Zhu ◽

Zhu

Keyword(s):

Public Transportation ◽

Traffic Management ◽

Structural Equation ◽

Choice Behavior ◽

Latent Class ◽

Mode Choice ◽

Latent Class Model ◽

Equation Model ◽

Travel Choice ◽

Travel Costs

An effective way to optimize traffic structures is by changing travel costs, thereby moving travelers from private transportation to public transportation. However, according to the existing studies, the traveler will not transfer from one mode to another unless the change in travel utility is greater than the indifference threshold. Therefore, the “indifference threshold” is one of the most important factors influencing a traveler’s choice of behavior. This study defines the “indifference threshold” as the traveler’s sensitivity to changes in travel utilities. In the framework of the theory of planned behavior (TPB), a structural equation model (SEM) considering the indifference threshold is established to analyze a traveler’s mode choice behavior. The analysis results showed that a travelers’ sensitivity to changes in travel utilities has the greatest impact on mode-choice behavior intentions and mode choice behavior. Perceptual behavior control has the strongest influence on travel choice behavior. In addition, in order to further explore the heterogeneity of a traveler’s behavior, the travelers were subdivided into four types, by establishing a latent class model (LCM) considering the indifference threshold. Finally, different traffic management suggestions are proposed for different types of travelers.

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Domestic airport passenger access mode choice decisions in a multi-airport region of South Africa

Journal of Transport and Supply Chain Management ◽

10.4102/jtscm.v8i1.149 ◽

2014 ◽

Vol 8 (1) ◽

Cited By ~ 1

Author(s):

Stephen Carstens

Keyword(s):

South Africa ◽

Willingness To Pay ◽

Latent Class ◽

Mode Choice ◽

Latent Class Model ◽

Preference Heterogeneity ◽

Access Time ◽

Class Model ◽

Access Cost ◽

Access Mode

The ground access mode used by air passengers to an airport has a vital impact on infrastructural and environmental decisions. An important aspect of a passenger’s mode choice is the sensitivity to factors such as access time and access cost. The objective of this research was to analyse air passenger’s sensitivity to access mode choice attributes, that is,access time, access cost, parking time and parking cost at two airports in Johannesburg, South Africa. A stated choice experiment was used to obtain the information and a latent class model was estimated. In general, discrete choice experiments are designed to reveal respondent(preference) heterogeneity and the latent class model allows for this heterogeneity to be modelled discretely. The estimated results indicated that three latent classes provided the best fit with preference heterogeneity evident from the set of parameter estimates. The access mode used was found to be the only significant covariate in the class assignment model. The respondents’ willingness to pay for a reduction in access time was estimated and it indicated that respondents had the highest access time willingness-to-pay value for the taxi as access mode. In addition, it was estimated that passengers being dropped off at the airport had a higher access time willingness-to-pay than passengers that used their own vehicles to the airport. The research results confirmed the presence of respondent heterogeneity (according to access mode) which resulted in different access time willingness-to-pay values.

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