Spatial-Temporal Response Patterns of Tourist Flow under Real-Time Tourist Flow Diversion Scheme

Guang Yang, Yan Han, Hao Gong and Tiantian Zhang
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Guang Yang: Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
Yan Han: Beijing Key Laboratory of Traffic Engineering (Beijing University of Technology), Beijing 100124, China
Hao Gong: Beijing Key Laboratory of Traffic Engineering (Beijing University of Technology), Beijing 100124, China
Tiantian Zhang: Beijing Key Laboratory of Traffic Engineering (Beijing University of Technology), Beijing 100124, China

Sustainability, 2020, vol. 12, issue 8, 1-28

Abstract: This paper excavates tourist decision-making mechanism under the real-time tourist flow diversion scheme (RTFDS) and evaluates the tourist flow diversion effect of RTFDS. To meet the objectives, the stated preference survey and tourist flow survey of the Summer Palace were implemented. The tourist behavior adjustment model and tourist flow diversion simulation model were established. The results show that: (a) For core tourist spots, 66.5% and 16.5% of tourists will choose “behavior adjustment” and “no longer adjustment” under RTFDS, these behavior adjustments all shorten tourists’ residence time in tourist spots; (b) When the tourist congestion perception degree equals 4 or 5, tourists tend to adopt behavior adjustment or the individuals adopt no longer adjustment instead of cognitive adjustment when they face low tourist congestion perception degree, which equals 1 or 2; (c) When core tourist spots’ residence time is reduced by 10% and 20%, there are 60% and 73% time nodes where core tourist spots’ tourist flow density is less than or equal to the condition of null information, there are 73% and 60% time nodes where periphery tourist spots’ density is more than the condition of null information. The simulation results showed that some tourists could be guided from core tourist spots to periphery tourist spots through releasing RTFDS information. The research can provide theoretical support for the implementation of RTFDS, and alleviate the congestion inside the tourist attraction.

Keywords: transportation; real-time tourist flow diversion scheme; tourists’ behavior adjustment; spatial-temporal distribution of tourist flow; tourist flow diversion simulation model; multinomial logit model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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