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Each scenic area can sustain a specific level of acceptance of tourist development and use, beyond which further
development can result in socio-cultural deterioration or a decline in the quality of the experience gained by visitors. This
specific level is called carrying capacity. Social carrying capacity can be defined as the maximum level of use (in terms
of numbers and activities) that can be absorbed by an area without an unacceptable decline in the quality of experience of
visitors and without an unacceptable adverse impact on the society of the area. It is difficult to assess the carrying
capacity, because the carrying capacity is determined by not only the number of visitors, but also the time, the type of the
recreation, the characters of each individual and the physical environment. The objective of this study is to build a
spatial-temporal simulation model to simulate the spatial-temporal distribution of tourists. This model is a tourist spatial
behaviors simulator (TSBS). Based on TSBS, the changes of each visitor's travel patterns such as location, cost, and other
states data are recoded in a state table. By analyzing this table, the intensity of the tourist use in any area can be
calculated; the changes of the quality of tourism experience can be quantized and analyzed. So based on this micro
simulation method the social carrying capacity can be assessed more accurately, can be monitored proactively and
managed adaptively. In this paper, the carrying capacity of Mount Emei scenic area is analyzed as followed: The author
selected the intensity of the crowd as the monitoring Indicators. it is regarded that longer waiting time means more
crowded. TSBS was used to simulate the spatial-temporal distribution of tourists. the average of waiting time all the
visitors is calculated. And then the author assessed the social carrying capacity of Mount Emei scenic area, found the key
factors have impacted on social carrying capacity. The results show that the TSBS-aided method for assessing carrying
capacity is dynamic, quantifiable and more accurate.
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