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A Study on Spatial and Temporal Modelling of West Lake’s Tourist Movements Using Semi-Markov Processes

Author: ChenLiZhang
Tutor: QiHuangXiong
School: Zhejiang University of Finance
Course: Business management
Keywords: Tourists behavior Semi-Markov process Horizon Mobile Microscopic spatial scales
CLC: F224
Type: Master's thesis
Year: 2012
Downloads: 42
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Abstract


The domestic tourism industry has entered the era of mass tourism, guided by travel agents and other intermediaries industry group travel and backpackers, car and other self-service way to travel has been great development, more ample leisure time, as well as the pursuit of a more life-rich willingness to promote tourism pay more attention to the quality of People are no longer satisfied merely to groups \significant. Emphasis on the macroscopic scale space tourists behavior, the tourists behavior research in micro-spatial scales are still not enough to try on the actual space tourists move mode still few modeling studies. Therefore, this paper established the goal of the modeling analysis of internal tourists space scenic mobile mode, trying to better understanding of the characteristics of the scenic spots internal tourists and behavior of the framework when the space dimension combination with the spatial and temporal patterns. Scenic internal tourists behavior research is a the destination internal tourists' behavior patterns contribute to a better understanding of scientific theory support for tourism destination management, tourism product updates and scenic marketing industry practice. The in-depth study of the behavior of the destination internal tourists sustainable use, understanding and visitor management, tourism resources and other issues play a key role. This paper draws Xia (2009,2011) time and space in Tourist Behavior of Semi-Markov model, a full discussion the tourists behavior in microscopic spatial scale features of the applicability of the model based on, by constructing the tourists and tour of the scenic West Lake The temporal and spatial characteristics of the space-time behavior Semi-Markov simulation model analysis tourists behavior and preference, and to further explore the results of the model application. An Empirical Study of the West Lake scenic area, access to the tourists personal information with time and space tourists in the scenic West Lake mobile information questionnaire interviews by fringe scenic map, 519 valid questionnaires, data processing based on the structure of the model calculation West Lake scenic tourists transition probability matrix, the time-mean matrix with attractive value matrix as an analysis of the basic tools of the tourists and behavioral characteristics. Subsequently, the comprehensive utilization of the general spatial and temporal characteristics of the three matrix calculations tourists behavior into the spatial and temporal characteristics, single attractions passenger flow forecast analysis and research groping attractive value matrix VS Attractions classification-based management matrix research. In this paper, the theoretical and empirical research, the main draw conclusions of the following four aspects: ⑴ fully discussed the behavior of tourists in the differences in the macro-and micro-spatial scales that microscopic spatial scales tourists behavior decision-making behavior and spatial behavior alternately accompanied road and decision-making is limited rationality, the time constraint is important influencing factors and their allocation to reflect the preferences of the tourists, providing support for the suitability of the building within the Semi-Markov model scenic; ⑵ Semi-Markov model can spatial and temporal behavior of tourists to the scenic internal analog transition probability matrix is ??calculated, the time mean matrix, attractive value matrix analysis of the spatial and temporal behavior of tourists, passenger flow analysis can be applied to the attractions and scenic spots, such as management practices ; ⑶ proposed V-SA (Visit Semi-Markov Attractiveness, hereinafter referred to as V-SA) attractions classification management matrix can take advantage of the attractive proportion of accommodation was the proportion of the two groups of variables for all core attractions area classification to build V-SA Attractions Category management matrix as a scenic spot management discriminant the Attractions state with development potential management tool. The empirical analysis shows that the West Lake management matrix and discrimination indicators to be effective, the classification results can be reasonably explained, a whole can provide reasonable discriminant and affordable countermeasures; ⑷ ??West Lake Scenic Area tourists spatial and temporal characteristics and spatial and temporal patterns summary. Comprehensive study of this paper, the use of space-time model of Semi-Markov West Lake scenic tourists Horizon Mobile quantitative modeling, and to further explore the application of the model to simulate the results of research, analysis and summary of the spatial and temporal patterns of the West Lake scenic tourists proposed attractions classification management tools to explore the passenger flow prediction method has some value on the theory and practice of its Horizon Mobile modeling study provides empirical case for the behavior of domestic micro-spatial scales tourists.

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