Low-carbon Tourism Traffic Behavior Research: The Case of the Residents in Wuhan

DOI

10.2991/emehss-17.2017.95How to use a DOI?

Keywords

Low-carbon tourism, Low-carbon traffic, Variance analysis.

Abstract

This paper, Wuhan residents as the research object, establishes variable system of influencing low-carbon tourism traffic behavior intentions, constructs influence factor model of low-carbon tourism traffic behavior intention. By descriptive analysis, reliability analysis, factor analysis, correlation analysis and variance analysis, verify the relationship and significantly effect between the variables and low-carbon tourism traffic behavior intention. The analysis results based on survey data show that: (1) low-carbon tourism traffic behavior attitude, subjective norm, perceived behavior control have the biggest positive impact on low-carbon tourism traffic behavior intention; (2) there is no significant difference between demographic variables of respondents and most of these factors.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chun Liu
PY  - 2017/04
DA  - 2017/04
TI  - Low-carbon Tourism Traffic Behavior Research: The Case of the Residents in Wuhan
BT  - Proceedings of the 2017 International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2017)
PB  - Atlantis Press
SP  - 441
EP  - 448
SN  - 2352-5398
UR  - https://doi.org/10.2991/emehss-17.2017.95
DO  - 10.2991/emehss-17.2017.95
ID  - Liu2017/04
ER  -