Customers’ Mode Choice Behaviors of Express Service Based on Latent Class Analysis and Logit Model
Joint Authors
Lian, Lian
Zhang, Shuo
Wang, Zhong
Liu, Kai
Cao, Lihuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-08
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Lian, Lian& Zhang, Shuo& Wang, Zhong& Liu, Kai& Cao, Lihuan. 2015. Customers’ Mode Choice Behaviors of Express Service Based on Latent Class Analysis and Logit Model. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074273
Modern Language Association (MLA)
Lian, Lian…[et al.]. Customers’ Mode Choice Behaviors of Express Service Based on Latent Class Analysis and Logit Model. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1074273
American Medical Association (AMA)
Lian, Lian& Zhang, Shuo& Wang, Zhong& Liu, Kai& Cao, Lihuan. Customers’ Mode Choice Behaviors of Express Service Based on Latent Class Analysis and Logit Model. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074273
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074273