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| RESEARCH ON THE FEATURES OF SPATIAL DISTRIBUTION OF TOURISTS' EXPENDITURE IN THE DESTINATION OF SUZHOU |
| CAO Jing, ZHANG Jie, WANG Lan, WU Tie-hong, XU Zhen-xiao, QI Qiu-yin |
| School of Geographic and Oceanographic Science, Nanjing University, Nanjing 210093, China |
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Abstract So far, there have been many results about the model of the tourist's spatial distribution at home and abroad. At the same time, several models of the distribution of the resident's small-scale open space have been researched during the past study. However, most of the researches still focus on the macroscopic geographic models, such as gravity model and model of distance decay. Few researches are conducted on tourists' expenditure. Thus, we try to find an inner mechanism and establish a spatial model depending on tourists' expenditure. In general, the following 6 factors which impact on the tourist's expenditure are:tourists' income, price levels of the destination, the fluctuations of currency exchange rate, tourist's demographic features, special events and other factors. We find that no research has been made on the impact of tourists' expenditure in terms of the factor of pure distance. Tourists' expenditure covers two parts:the cost in destination and the cost on the way. To avoid the impact of the correlation between the total expenditure and the distance, we study tourists' expenditure in destination. Choosing 3337 available samples in sampling survey offered by Jiangsu Travel Bureau, using a series of statistical methods, such as the correlation analysis, etc., based on the factors of social economy, we educe and explain the two stages of the curve of spatial distribution of tourists' expenditure in the destination of Suzhou:the increasing stage and the stagnant stage. The result of our using the same method to analyse the samples of the intraprovincial tourists' cost in destination has verified the reliability of the spatial distribution. Correlation coefficient R between tourists' cost in destination and the distance is 0.712. And the correlation is significant at 0.01 level. Within 250 kilometers, the correlation is more intense. After that, the curve is becoming more and more gentle. This is consistent to previous research. Finally, in the view of segment cost, a further study shows that accommodation and restaurant make largest contribution to the whole spatial distribution, and the less important part is recreation. Other factors' impact is not so obvious.
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Received: 19 May 2008
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2009, Vol. 24 
