Designing Tourism Routes From Tourism Behaviors and Needs of the Tourists in Chaiyaphum Province, Thailand

The aim of this research was to study tourism behaviors and needs for tourism of Thai tourists in Chaiyaphum province in order to bring their tourism behaviors and needs to design tourism routes which are suitable and able to meet the needs of tourists. Questionnaire survey was used to collect data from 400 tourists who traveled to visit Chaiyaphum province. Accidental sampling technique was applied to select the sample. Percentage, mean, and standard deviation were used to analyze the data. The research results revealed that tourists were mostly male with 26-40 years of age and aimed to use spare time with their own families or friends. Most tourists traveled with their families （husband/wife/son/daughter）, because they attach great importance to creating a good relationship with the members of their families in order to show their love and warmth among members within the families. Most tourists took ordy one day to visit Chaiyaphum province （travel there and back in a day）. Tourists＇ needs for visiting tourism places in Chaiyaphum province were as follows： （1） to visit popular and famous tourism places; （2） to visit natural tourism places; and （3） to visit historical and cultural tourism places.

Evaluation System for Yunnan Cultural Tourism Routes Based on a Five Component Model: Case Study of the Ancient Tea-horse Road in the South of Yunnan

Cultural tourism routes can reveal and protect cultural tourism heritage by means of cultural tourism in the'time category'and the'space category'.The construction of an evaluation system for cultural tourism routes and the evaluation,scoring and grading of existing and potential cultural tourism routes are the key to the protection of heritage,history and culture along these routes,and the key to encouraging the standardization,branding and sustainable development of various formats on the routes.Yunnan cultural tourism routes are diverse and rich in resources,and their developmental foundation is good.However,the tourism development and cultural development activities occur along separate lines and there is a lack of unified management.Therefore,it is necessary to conduct research on information collection,information analysis,problem diagnosis and improvement of status in the local practices of Yunnan cultural tourism routes,and to guide the sustainable development of Yunnan cultural tourism routes.Based on the advanced experience of COE(Council of Europe),UNESCO WHC(United Nations Educational,Scientific and Cultural Organization,World Heritage Committee)and ICOMOS(International Council on Monuments and Sites),this paper comprehensively analyzes the decisive criteria for line evaluation by interpreting and summarizing the connotations of cultural tourism routes,and determines that the evaluation of cultural tourism routes should include lines.Five aspects―the theme,the participating subject,the object itself,related activities and multi-party value―are used to construct a five-component model.At the same time,based on the consumer utility function,a complete route evaluation and hierarchical system is constructed.Then,taking the Ancient Tea-horse Road cultural tourism route as an example and using the expert scoring method and the analytic hierarchy process,the actual scores and grades of the Ancient Tea-horse Road cultural tourism route are determined,and countermeasures and suggestions for its sustainable development are proposed.The paper also verifies the applicability and practicability of the evaluation system,and promotes and improves the feedback evaluation system.The aim is to at promote and widely apply the evaluation system of cultural tourism routes,realizing the transformation from individual cases to joint cases,and promoting the standardization and sustainable development of cultural tourism routes.

Tourism Route Recommendation Based on A Multi-Objective Evolutionary Algorithm Using Two-Stage Decomposition and Pareto Layering

Tourism route planning is widely applied in the smart tourism field.The Pareto-optimal front obtained by the traditional multi-objective evolutionary algorithm exhibits long tails,sharp peaks and disconnected regions problems,which leads to uneven distribution and weak diversity of optimization solutions of tourism routes.Inspired by these limitations,we propose a multi-objective evolutionary algorithm for tourism route recommendation(MOTRR)with two-stage and Pareto layering based on decomposition.The method decomposes the multiobjective problem into several subproblems,and improves the distribution of solutions through a two-stage method.The crowding degree mechanism between extreme and intermediate populations is used in the two-stage method.The neighborhood is determined according to the weight of the subproblem for crossover mutation.Finally,Pareto layering is used to improve the updating efficiency and population diversity of the solution.The two-stage method is combined with the Pareto layering structure,which not only maintains the distribution and diversity of the algorithm,but also avoids the same solutions.Compared with several classical benchmark algorithms,the experimental results demonstrate competitive advantages on five test functions,hypervolume(HV)and inverted generational distance(IGD)metrics.Using the experimental results of real scenic spot datasets from two famous tourism social networking sites with vast amounts of users and large-scale online comments in Beijing,our proposed algorithm shows better distribution.It proves that the tourism routes recommended by our proposed algorithm have better distribution and diversity,so that the recommended routes can better meet the personalized needs of tourists.