Pei Yu Ren’s research while affiliated with Sichuan University and other places

Nowadays it is a heated interest to apply neuroscience knowledge to social sciences. Following the neuromanagement, neurotourism is coined and discussed by the authors. Neurotourism mainly explores the neural mechanism underlying tourists’ behaviors and aims to advance tourism research. Neuroscience tools can obtain objective neurophysiology data from human body, serving as potential measurements of some constructs such as happiness, tourism satisfaction and revisiting intention. Besides, neuroscience tools can also capture and record the cognitive and emotional process in real-time during tourism experience and this application helps the tourism manager achieve better monitoring and scheduling. Thus we suggest that neurophysiology data should be added to management information system. Finally a pilot event-related potential techniques (ERPs, one of the cognitive neuroscience tools) experiment was conducted to support our ideas.

To set up a resort’s equilibrium tourist flow assignment model, the tour line features of the tourists are considered. This model firstly initiates a tourist equilibrium distribution model for the resort and then gets an optimal approximate solution when a tourist group reaches a certain scale. Next, the resort’s tourist equilibrium shunting model is built and an optimal approximate solution is provided from the present resort tourist distribution. By analyzing the results, it is found that this model is able to realize the resort’s dynamic shunting steadily, to effectively lower the resort’s congestion and to reduce the ecological environment pressure.

On the basis of fire data reported in Wuhan Police Annual 2010 and Wuhan Evening News in 2009, this paper analyzes the spatial-temporal distribution of fires in urban areas of Wuhan by researching the occurrence rate and time quotient of fire. The analytical results demonstrate that in spatial scale, the fires in Qiaokou, Jianghan, Qingshan and Hanyang are relatively frequent, while in Wuchang, Jiangan and Hongshan, they are less frequent; in temporal scale, the frequency of fires is imbalanced in different month of the year and in different period of the day. The author puts forward some targeted and constructive suggestions after discussing possible reasons.

This paper discusses the scheduling problem for two factory cranes that move along a single track, which is one of the most important equipment in manufacturing shop. Each crane is assigned a sequence of pickups and deliveries at specified locations and the two cranes must be operated so as to avoid interference with each other. In order to minimize the makespan, we define the bottleneck crane, which takes the maximum time to complete a given set of tasks. And a mixed-integer programming model which considers various constraints related to the operations of cranes is formulated. However, this problem is NP-hard, therefore we propose a heuristic algorithm to solve this problem. Finally, a numerical experiment on a specific manufacturing plant is used to illustrate the efficiency from computational point of view.

This paper proposed a heuristic algorithm based on due-dates for a stretch machine scheduling problem in the plane manufacturing industry. An integer-Programming model incorporated the due-dates of jobs,capacity of oven, availability of stretch machines, and setting up times is built. The objective of this problem was to minimize the make-span of all jobs on stretch machines by scheduling. To guarantee the due-dates of different orders, maximizing the efficiency of bottleneck resource (i.e., stretch machine in this paper) must be considered. Because of the computational complexity of this problem, this paper developed a heuristic approach. Computational experiences indicated that the heuristic gave high quality solutions with significant savings in time over standard IP algorithms.

With the rapid development of tourism industry in Jiuzhaigou since 1984, the scenic has experienced an increasing use of its natural and cultural environment for tourism, resulting in tourism resources being adversely impacted. Especially in peak travel period, the imbalance of tourists distribution in time and space leads to undesirable environmental and socioeconomic impacts. It is necessary to design a reasonable tourists shunt strategy with the objective of minimizing the environmental effects arising from tourism. Focusing on the goal, this paper proposes an evaluation model based on bottleneck theory and several shunt strategies. To evaluate the performance of the proposed strategies, combination of different shunt strategies is developed through simulation, and finds that the strategy integrating both static shunt and dynamic shunt strategy outperforms other strategies. The further research direction is proposed in the end.

In the constraints of tourism resources and environment, how to develop regional economy, improve the capability of tourist reception, and stimulate both tourism and surrounding industries to grow collaboratively is gradually becoming a key point to keep the development of tourist destinations sustainable. Due to sustainable development in relation to the long-term planning, the research on the mutual relationships among economy, environment and other systems of tourist destinations, and the mechanism of long-term effects has proved to be the focus of managers of scenic areas and scholars. This paper discussed dynamic mechanism of sustainable development of economic circle in tourist destinations, of which tourism is pillar industry, built system dynamics model of subsystems of economic circle and then simulated. Finally, system inherently dynamic mechanism of developmental, mature and recessionary periods from this economic circle was analyzed, to provide a basis for prolonging the duration of mature period, slowing decline velocity of recession, and promoting sustainable development of economic circle in tourist destinations.

This paper examines the factors that affect carbon emissions based on the panel data for 9 western provinces in China over the period 1990–2009. Our empirical results show that the output size, industrial structure and energy consumption structure are the main factors affecting carbon emissions, and the income level has a negative effect to carbon emissions. Some policy implications of the empirical results have finally been proposed

Sustainability is using resources in a way and at a rate that enables the current generation to meet their needs and desires without compromising the ability of future generations to meet their own needs and desires. It is all about balance of environmental, economic and social benefit. Tourism industry has high reliance on natural and cultural assets and is vulnerable to climate change impacts. This paper introduces a holistic approach to environmental management and carbon emission reduction with practical application in the tourism industry by EarthCheck program. The approach which includes quantitative benchmarking and qualitative assessment is well implemented in a broad industry scale to help tourism business start their sustainable journey.

Tourism involves travel, and travelling is inherently dependent on carbon-based fuel. The low cost of carbon fuels resulted in massive expansions of global tourism with many countries now depending on tourism exports for their national economies. However, oil is a finite resource and tourism’s dependence on it creates major vulnerabilities. It is also increasingly recognised that to combat man-made global climate change it is essential to put a price on carbon, for example through carbon taxes or Emissions Trading Schemes. The implications of a diminishing availability of cheap carbon-based fuel are extremely complex and far reaching, both for society as a whole and for tourism.