Application of Count Data Models in Inbound Tourism Source Markets based on Data mining technology

DOI

10.2991/icaise.2013.38How to use a DOI?

Keywords

Familiarity degree of scenic destination, competitive state, agglomeration, inbound market, Computer software engineering model

Abstract

This paper applies Application of Count Data Models based on Data Ming technology by the index of Familiarity Degree of Scenic Destination and the index of Competitive State to carry out quantitative analysis on the inbound tourism market of Jiangxi Province in 2001-2012. The results show that: Most inbound tourism source markets are with low familiarity degree or strong unfamiliarity degree. The inter-annual variability of the familiarity degree of inbound tourism source markets shows three concurrent trends of high-position oscillation, middle-position volatility, and low-position coexistence, with significant disparities among source markets; competitive state of the tourist source markets mainly concentrates in Skinny-Dog Market and Children Market. These indicate there are considerable spatial disparities among the inbound tourism source markets of Jiangxi Province, the overall development situation is not optimistic, and it is necessary to carry out further strengthened development and study on the tourism source markets of the Jiangxi province in order to further improve the development of inbound tourism and realize its goal to build a competitive tourism in Jiangxi province.

Copyright

© 2013, 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  - Changfeng Yin
PY  - 2013/08
DA  - 2013/08
TI  - Application of Count Data Models in Inbound Tourism Source Markets based on Data mining technology
BT  - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
PB  - Atlantis Press
SP  - 180
EP  - 184
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaise.2013.38
DO  - 10.2991/icaise.2013.38
ID  - Yin2013/08
ER  -