Heterogeneity in flood risk awareness: a longitudinal, Latent Class model approach

2021 ◽  
pp. 126255
Author(s):  
Cristiano Franceschinis ◽  
Mara Thiene ◽  
Giuliano Di Baldassarre ◽  
Elena Mondino ◽  
Anna Scolobig ◽  
...  
Keyword(s):  
Flood Risk ◽  
Latent Class ◽  
Latent Class Model ◽  
Risk Awareness ◽  
Class Model ◽  
Model Approach

scholarly journals Type Choice Behavior of Alternative Fuel Vehicles: A Latent Class Model Approach

2017 ◽  
Vol 25 ◽  
pp. 3299-3313 ◽  
Author(s):  
Nazmul Arefin Khan ◽  
Mahmudur Rahman Fatmi ◽  
Muhammad Ahsanul Habib
Keyword(s):  
Choice Behavior ◽  
Latent Class ◽  
Latent Class Model ◽  
Alternative Fuel ◽  
Class Model ◽  
Alternative Fuel Vehicles ◽  
Model Approach

scholarly journals Customers’ Mode Choice Behaviors of Express Service Based on Latent Class Analysis and Logit Model

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Lian Lian ◽  
Shuo Zhang ◽  
Zhong Wang ◽  
Kai Liu ◽  
Lihuan Cao
Keyword(s):  
Logit Model ◽  
Choice Behavior ◽  
Latent Class ◽  
Latent Class Model ◽  
Policy Research ◽  
Multinomial Logit Model ◽  
Class Model ◽  
Taste Heterogeneity ◽  
Using Data ◽  
Service Choice

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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