Modeling the Commuting Travel Activities within Historic Districts in Chinese Cities

Joint Authors

Ye, Mao
Yu, Miao
Hu, Qizhou
Li, Zhibin
Yin, Fengjun

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-11-04

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Biology

Abstract EN

The primary objective of this study is to analyze the characteristics of commuting activities within the historical districts in cities of China.

The impacts of various explanatory variables on commuters’ travels are evaluated using the structural equation modeling (SEM) approach.

The household survey was conducted in the historical districts in Yangzhou, China.

Based on the data, various individual and household attributes were considered exogenous variables, while the subsistence activity characteristics, travel times, numbers of three typical home-based trip chains, trip chains, and travel mode were considered as the endogenous variables.

Commuters in our study were classified into two main groups according to their working location, which were the commuters in the historic district and those out of the district.

The modeling results show that several individual and household attributes of commuters in historic district have significant impacts on the characteristics of travel activities.

Additionally, the characteristics of travel activities within the two groups are quite different, and the contributing factors related to commuting travels are different as well.

American Psychological Association (APA)

Ye, Mao& Yu, Miao& Li, Zhibin& Yin, Fengjun& Hu, Qizhou. 2014. Modeling the Commuting Travel Activities within Historic Districts in Chinese Cities. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1034644

Modern Language Association (MLA)

Ye, Mao…[et al.]. Modeling the Commuting Travel Activities within Historic Districts in Chinese Cities. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1034644

American Medical Association (AMA)

Ye, Mao& Yu, Miao& Li, Zhibin& Yin, Fengjun& Hu, Qizhou. Modeling the Commuting Travel Activities within Historic Districts in Chinese Cities. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1034644

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1034644