This paper introduces a novel methodology to address the issue of destination carrying capacity assessment and monitoring,while,to develop a new tool to enable effective and optimized policy making in tourism sector.T...This paper introduces a novel methodology to address the issue of destination carrying capacity assessment and monitoring,while,to develop a new tool to enable effective and optimized policy making in tourism sector.Tourism fits together a chain value,where stakeholders are working as cogwheels targeting the sustainability.An inherent requirement towards the objectives of sustainability is the capacity of policy makers to sustain the available social,economic,and environmental resources.Given the facts that(i)carrying capacity is a complex,dynamic,multidimensional concept,apparently vague,as such it is quite difficult to assess and monitor and(ii)each destination has unique characteristics,varying the extent and intensity of tourism development,the research proposal refines and implements measures and establishes a state-of-the-art data collection network in order to monitor tourism development in terms of sustainability and to establish an integrated carrying capacity estimation framework.Since validity and reliability of input data is a critical issue,different kind of sensors for environmental data(IoTs)are used,as well as web mining methods and field surveys,statistical information and secondary research results.Also,specialized analysis methods are applied and integration of all sources is achieved,defining the characteristics of the tourism destination ecosystem from the perspective of entropy change,in order to provide planning,policy making,and decision support,as well as a set of intelligent tools.展开更多
Discussing the impact of the crisis in Xinjiang on tourists and tourism plays an important role in Xinjiang tourism industry leveraging the country’s the Belt and Road Initiative and policy support,and constructing ...Discussing the impact of the crisis in Xinjiang on tourists and tourism plays an important role in Xinjiang tourism industry leveraging the country’s the Belt and Road Initiative and policy support,and constructing the“Silk Road Economic Zone Core Area”and the“Silk Road Economic Zone Tourism Center”.Based on the questionnaire survey of tourists infamous tourism scenic spots,like Urumqi,Bortala Mongolia Autonomous Prefecture,Xinjiang,Hami,Changji Hui Autonomous Prefecture,Yili Kazakh Autonomous Prefecture,and so on.This study used literature analysis,multivariate statistical analysis,and structural equation model.This paper constructed a study on the mechanism and path of the impact of tourism risk perception on the tourism motive and the satisfaction degree of tourism.The results showed that there was a significant positive correlation between tourism motivations and satisfaction,and there was also a significant positive correlation between tourism motivation and tourism satisfaction.The findings of this study provided scientific basis for quantitative decision-making for the crisis management in Xinjiang and the corresponding tourism marketing strategies.展开更多
Technological advancement has led to the adoption and usage of social media among businesses including tourism sector to disseminate information and communicate with customers more effectively. Due to the limitless ca...Technological advancement has led to the adoption and usage of social media among businesses including tourism sector to disseminate information and communicate with customers more effectively. Due to the limitless capabilities that social media provides, it is gradually transforming diverse business ecosystems. This study seeks to assess at the impact of social media on tourism destination decision-making from foreign students in China context. From the background of Uses and Gratification theory, a quantitative research approach was used to achieve the sole of the present study. This study used an online questionnaire tool to obtain response, validated using a Partial Least Square and Structural Equation Modeling and SPSS statistical software to analyze 271 samples of foreign students in China. The findings of the study show that behavioral intentions have a positive and significant effect on tourism destination decision-making, and social media significant direct influence on tourism destination decision making. Furthermore, tourists’ satisfaction can enhance tourism destination decisions when mediated by social media usage. The research findings would help tourism service providers to identify and select social media platforms as a marketing strategy for tourism competitiveness.展开更多
文摘This paper introduces a novel methodology to address the issue of destination carrying capacity assessment and monitoring,while,to develop a new tool to enable effective and optimized policy making in tourism sector.Tourism fits together a chain value,where stakeholders are working as cogwheels targeting the sustainability.An inherent requirement towards the objectives of sustainability is the capacity of policy makers to sustain the available social,economic,and environmental resources.Given the facts that(i)carrying capacity is a complex,dynamic,multidimensional concept,apparently vague,as such it is quite difficult to assess and monitor and(ii)each destination has unique characteristics,varying the extent and intensity of tourism development,the research proposal refines and implements measures and establishes a state-of-the-art data collection network in order to monitor tourism development in terms of sustainability and to establish an integrated carrying capacity estimation framework.Since validity and reliability of input data is a critical issue,different kind of sensors for environmental data(IoTs)are used,as well as web mining methods and field surveys,statistical information and secondary research results.Also,specialized analysis methods are applied and integration of all sources is achieved,defining the characteristics of the tourism destination ecosystem from the perspective of entropy change,in order to provide planning,policy making,and decision support,as well as a set of intelligent tools.
基金This study was supported by the National Natural Science Foundation of China(No.71373054).
文摘Discussing the impact of the crisis in Xinjiang on tourists and tourism plays an important role in Xinjiang tourism industry leveraging the country’s the Belt and Road Initiative and policy support,and constructing the“Silk Road Economic Zone Core Area”and the“Silk Road Economic Zone Tourism Center”.Based on the questionnaire survey of tourists infamous tourism scenic spots,like Urumqi,Bortala Mongolia Autonomous Prefecture,Xinjiang,Hami,Changji Hui Autonomous Prefecture,Yili Kazakh Autonomous Prefecture,and so on.This study used literature analysis,multivariate statistical analysis,and structural equation model.This paper constructed a study on the mechanism and path of the impact of tourism risk perception on the tourism motive and the satisfaction degree of tourism.The results showed that there was a significant positive correlation between tourism motivations and satisfaction,and there was also a significant positive correlation between tourism motivation and tourism satisfaction.The findings of this study provided scientific basis for quantitative decision-making for the crisis management in Xinjiang and the corresponding tourism marketing strategies.
文摘Technological advancement has led to the adoption and usage of social media among businesses including tourism sector to disseminate information and communicate with customers more effectively. Due to the limitless capabilities that social media provides, it is gradually transforming diverse business ecosystems. This study seeks to assess at the impact of social media on tourism destination decision-making from foreign students in China context. From the background of Uses and Gratification theory, a quantitative research approach was used to achieve the sole of the present study. This study used an online questionnaire tool to obtain response, validated using a Partial Least Square and Structural Equation Modeling and SPSS statistical software to analyze 271 samples of foreign students in China. The findings of the study show that behavioral intentions have a positive and significant effect on tourism destination decision-making, and social media significant direct influence on tourism destination decision making. Furthermore, tourists’ satisfaction can enhance tourism destination decisions when mediated by social media usage. The research findings would help tourism service providers to identify and select social media platforms as a marketing strategy for tourism competitiveness.