Behavior Analysis of Self-Driving Tourists Based on Content Analysis of Network Travel Notes: A Case Study of the Inner Mongolia Autonomous Region

Self-diiviiig tour is one of the most important wajrs for people to travel, and network travel notes actually reflect the traveling information of self-driving tourists. In this paper, witii the network travel notes of self-driving tourists as the tesearch object^ methods such as text analysis and visualization were adopted to study behavior patterns of self-driving tourists, tourism experience, time-space migration, and distribution of tourism resources in Inner Mongolia, fi：om the multiple dimensions of mobile drivers, perceived, dimensions, and spatial migration. The results showed tiiat ①self-cidviiig tourists had a variety of motivations for traveling, in which love for nature dominated; ②self-driving tour destinations were mainly Hulunbuir, Ordos, and Alxa League; ③spatial migration was characterized by obvious seasonal fluctuations. The fesearch on the behavior of self-driving tourists in Inner Mongolia is an important part of the study of the connection between tourism resources and market connection in Inner Mongolia, and is of significance for guiding the theory, practice and poliqr foimuktion of self-doving tours in Inner Mongolia.

Safety Evaluation and Improvement of Homestays from the Perspective of Tourists’Perception: A Case Study of Tangjiajia Hot Spring Village in Nanjing

Safety is one of the basic needs of tourists,and their sense of security is a necessary condition for the successful operation of homestays.Based on the theory of tourist perception,Nanjing Tangjiajia Hot Spring Village is taken as the research object.This paper analyzes the tourists’perception of homestay safety facilities and services through questionnaire survey,field investigation,interview,and other methods.It proposes strategies for improving homestay safety,aiming to provide safety management references for China’s homestay industry and promote its sustainable development.

How Sense of Ritual in Tourism Impacts Tourists’Co-Creation of Tourism Experience Values:A Study Based on the Theory of Value Co-Creation

Establishing a sense of ritual within tourism consumption scenarios offers tourists the opportunity for interactive engagement.Drawing upon the value co-creation theory,this study constructed an influence mechanism model to examine tourists'active engagement in the process of co-creating tourism experience values.It employed Partial Least Squares Structural Equation Modeling(PLS-SEM)to empirically test the proposed hypotheses.The findings demonstrate that the model constructed in the present study exhibits robust reliability,validity,and explanatory power.The perception of the sense of ritual in tourism exerts a significant positive influence on tourists’co-creation of tourism experience values,thereby significantly enhancing both the communitas and flow experienced by tourists during their travels.Moreover,such communitas and flow can mediate the influence of the sense of ritual in tourism on tourists’co-creation of tourism experience values.This study contributes to advancing the current research on tourists’co-creation of tourism experience values and the sense of ritual in tourism,thereby providing theoretical foundations for cultivating a sense of ritual within tourism consumption scenarios.

Investigation on Tourists' Satisfaction Degree in Xionger Mountain of Shandong Province

Through the field investigation in Xionger Mountain,it was found that the scenic area is rich in tourism resources.However,the development of tourism is lagging behind.By the method of random sampling,a survey for visitors was conducted.A total of 100 questionnaires were issued,100 of which were valid.With the help of TSI evaluating model,tourists' satisfaction degree was calculated accurately.The results showed that ratio of tourism performance to price in Xionger Mountain wasn't high,of which tourists generally expressed dissatisfaction;that the overall environment was quite good,of which tourists showed higher satisfaction degree;that some tourists' expectations to this scenic area were not high;that revisit willing was comparatively high;that there was a certain gap compared with other scenic spot.Tourists' satisfaction degree on Xionger Mountain is 55.89% through calculating TSI index.Finally,aiming at the existent problems,some countermeasures for improving the tourists' satisfaction degree on Xionger Mountain were put forward from the aspects of tour value,environmental perception,marketing philosophy and modes.

Study on Consumer Behaviors of Tourists in Rural Areas of Liaoning Province

This study takes Liaoning Province for an example,investigates and analyzes a series of consumer decision behaviors of tourists in rural tourist sites,such as need recognition,data collection,purchase decision,summarizes law of tourists' behaviors,points out internal interaction between tourists' behaviors and demography features,proposes improvement measures for promoting the sustainable development of rural tourism.

Study on Ecological Footprint of Sightseeing Tourists and Vacation Tourists in Sanya City

Based on the theory of ecological footprint and tourists' consumption structure, the model of tourist ecological footprint was divided into six sub-models including catering, accommodation, shopping, sightseeing, shopping and entertainment, and ecological footprint of sightseeing tourists and vacation tourists in Sanya City was analyzed. The result showed that per capita ecological footprint of vacation tourists was higher than that of sightseeing tourists in Sanya City. The influential factor of the two kinds of tourists was slightly different in their proportion of sightseeing and entertainment factors. In the future, it should advocate sightseeing tourists to rationally make use of ecological resources, vacation tourists to have a healthy and ecological holiday, so as to ensure sustainable development of tourism.

Behavior Characteristics of Tourists and Detailed Classification of Tourist Source Market in Liuxihe National Forest Park

On the basis of questionnaires and field investigation,behavior characteristics of tourists in Liuxihe National Forest Park were analyzed,and the results showed that tourists in the study area mainly come from the Pearl River Delta for sightseeing,mostly 21-45 years old,with higher revisit rate but less residence time.And meanwhile,key tourist source markets of Liuxihe National Forest Park were classified on the basis of spatial distance features,social and economic features,and behavior characteristics of tourists,specifically,The Pearl River Delta Sightseeing Tourist Market,The Pearl River Delta Vacationing Tourist Market,The Pearl River Delta Business Tourist Market,and The Pearl River Delta Special-interest Tourist Market.Moreover,corresponding development strategies were proposed according to actual conditions of each market.

Marketing Strategies Based on Tourists' Satisfaction on Rural Tourism in Suzhou City of China

To further promote rural tourism brand of Suzhou and enhance its competitiveness,tourist source market of rural tourism in Suzhou City was analyzed through questionnaire survey from the perspectives of demographic features and behavioral characteristics of tourists.Moreover,significance of service items and tourists' satisfaction on these items were investigated from the perspectives of scenic area management,traffic conditions,accommodation services,hygienic conditions,commodity price,infrastructure,guide services,food and recreational activities.Through sorting out statistics obtained in the investigation,corresponding marketing strategies were proposed.First,orientation of rural tourism market should be defined,local tourist source market taken as the principal one,especially tourists from the middle-class and upper-class.Second,rural cultural connotations should be further explored to build villages of dominant cultures and bring new ideas to traditional festivals.Third,integrated marketing should be introduced to the promotion of rural tourism,marketing channels further integrated,and online marketing of rural tourism enhanced.

Study on Tourism Decision-making Pattern of European Tourists in China——With European Tourists in Xi’an City as a Study Case

With the inbound tourism market data supported by National Natural Science Foundation of China as the basis, this study through researching the tourism decision-making behaviors of inbound tourists, adopting questionnaire survey among European tourists in Xi'an City, analyzed their tourism decision behaviors and influencing factors, and aimed to propose pertinent suggestions for the expansion of European tourist market for Xi'an City.

Assessing the Carrying Capacity of Tourist Resorts: An Application of Tourists’ Spatial Behavior Simulator Based on GIS and Multi-Agent System

Based on the study of visitors' individual spatial behaviors, a tourists'spatial behavior simulator (TSBS) to assess the carrying capacity of tourist resorts was developed,TSBS employs GIS (Geographic Information System) to manage the spatial data,and Multi-Agent systemto simulate the actions of individual visitors. By utilizing TSBS, visitors' travel patterns such aslocation, cost, and state can be analyzed and predicted. Based on this analysis and prediction, themodel of assessing the carrying capacity of resorts is built. Our results show that TSBS will be aneffective tool to accurately assess the carrying capacity of tourist resorts.

Data Augmentation Technology Driven By Image Style Transfer in Self-Driving Car Based on End-to-End Learning

With the advent of deep learning,self-driving schemes based on deep learning are becoming more and more popular.Robust perception-action models should learn from data with different scenarios and real behaviors,while current end-to-end model learning is generally limited to training of massive data,innovation of deep network architecture,and learning in-situ model in a simulation environment.Therefore,we introduce a new image style transfer method into data augmentation,and improve the diversity of limited data by changing the texture,contrast ratio and color of the image,and then it is extended to the scenarios that the model has been unobserved before.Inspired by rapid style transfer and artistic style neural algorithms,we propose an arbitrary style generation network architecture,including style transfer network,style learning network,style loss network and multivariate Gaussian distribution function.The style embedding vector is randomly sampled from the multivariate Gaussian distribution and linearly interpolated with the embedded vector predicted by the input image on the style learning network,which provides a set of normalization constants for the style transfer network,and finally realizes the diversity of the image style.In order to verify the effectiveness of the method,image classification and simulation experiments were performed separately.Finally,we built a small-sized smart car experiment platform,and apply the data augmentation technology based on image style transfer drive to the experiment of automatic driving for the first time.The experimental results show that:(1)The proposed scheme can improve the prediction accuracy of the end-to-end model and reduce the model’s error accumulation;(2)the method based on image style transfer provides a new scheme for data augmentation technology,and also provides a solution for the high cost that many deep models rely heavily on a large number of label data.

Integrated System of Solar Cells with Hierarchical NiCo2O4 Battery-Supercapacitor Hybrid Devices for Self-Driving Light-Emitting Diodes

An integrated system has been provided with a-Si/H solar cells as energy conversion device,NiCo2O4 battery-supercapacitor hybrid(BSH)as energy storage device,and light emitting diodes(LEDs)as energy utilization device.By designing three-dimensional hierarchical NiCo2O4 arrays as faradic electrode,with capacitive electrode of active carbon(AC),BSHs were assembled with energy density of 16.6 Wh kg-1,power density of 7285 W kg-1,long-term stability with 100% retention after 15,000 cycles,and rather low self-discharge.The NiCo2O4//AC BSH was charged to 1.6 V in 1 s by solar cells and acted as reliable sources for powering LEDs.The integrated system is rational for operation,having an overall efficiency of 8.1% with storage efficiency of 74.24%.The integrated system demonstrates a stable solar power conversion,outstanding energy storage behavior,and reliable light emitting.Our study offers a precious strategy to design a self-driven integrated system for highly efficient energy utilization.

Influence of Tourists′ Environmental Tropisms on Their Attitudes to Tourism and Nature Conservation in Natural Tourist Destinations: A Case Study of Jiuzhaigou National Park in China

People′s environmental tropism has an effect on their understanding of tourism-nature relationship,and also influences their attitudes to natural resources utilization and environmental protection.Taking Jiuzhaigou National Park of China as a study case,the authors conducted some quantitative analyses with the tools of SPSS 16.0 and LISREL 8.7,to explore the influence of tourists′ environmental tropism on their attitudes to tourism and nature conservation in the natural tourist destination.Three hypotheses and the theoretic model of influences of tourists′ environmental tropism on their attitudes to tourism and nature conservation have been tested and accepted based on the Structural Equation Model analysis on survey data collected in Jiuzhaigou National Park of China.Some conclusions were drawn as follows: 1) tourists′ human-prioritized concept influences their cognition to tourism-nature relationship.This concept has a positive influence on their supportive attitudes to tourism,but a negative influence on their attitudes to nature conservation;2) tourists′ human-nature coordination concept has a positive influence on their supportive attitudes to both tourism and nature conservation,especially to the latter.This paper generally proves that human′s environmental tropism does have an influence on their attitudes to tourism and nature conservation in natural tourist destinations.

Monitoring System of tourist traffic(MSTT) for tourists monitoring in mid-mountain national park,SW Poland

National parks are highly valuable natural areas and have the potential to attract a large number of visitors.The number of visitors at national parks is systematically increasing,often exceeding Tourism Carrying Capacity(TCC)of trails.This situation requires adjusting the number of park visitors to adapt to sustainable management systems of visitor flow,thus preventing or counteracting overtourism.The aim of the study is to propose a comprehensive method for tourists monitoring in mid-mountain national park presented on the example of the Sto?owe Mountains National Park(SMNP)in Poland,called as Monitoring System of tourist traffic(MSTT).The study describes six stages procedure of tourists Monitoring System creation and application as an optimal measurement technique.The MSTT enabled a multidimensional analysis of tourist traffic in SMNP.With the help of 39 pyroelectric sensors and surveys data spatio-temporal characteristic of visitor flow was obtained.The data generated in MSTT included hourly,daily,weekly,monthly,and annual reports,taking into account the direction of traffic measuring both directions:entries(IN),exits(OUT)and passages(IN+OUT).The results from pyroelectric sensors were supplemented with field surveys,where visitor’s motivations,preferences,and behaviours were determined.In 2017 a total of 871,344 visitors were recorded in SMNP what causes one of the most popular national parks in Poland.The SMNP is a suitable destination for short breaks leisure visits in wilderness.In order to sustain MSTT methodology in the long-run the set of guidelines together with the workload estimates were presented.In the future,the MSTT can be further developed,including monitoring of climbing,cycling,cross-country skiing,car traffic and illegal tourism assessment.The MSTT can be considered as a useful tool for tourism management in mid-mountain national parks throughout the entire calendar year.

An Optimal Distribution of RSU for Improving Self-Driving Vehicle Connectivity

Self-driving and semi-self-driving cars play an important role in our daily lives.The effectiveness of these cars is based heavily on the use of their surrounding areas to collect sensitive and vital information.However,external infrastructures also play significant roles in the transmission and reception of control data,cooperative awareness messages,and caution notifications.In this case,roadside units are considered one of themost important communication peripherals.Random distribution of these infrastructures will overburden the spread of self-driving vehicles in terms of cost,bandwidth,connectivity,and radio coverage area.In this paper,a new distributed roadside unit is proposed to enhance the performance and connectivity of these cars.Therefore,this approach is based primarily on k-means to find the optimal location of each roadside unit.In addition,this approach supports dynamicmobility with a long period of connectivity for each car.Further,this system can adapt to various locations(e.g.,highways,rural areas,urban environments).The simulation results of the proposed system are reflected in its efficiency and effectively.Thus,the system can achieve a high connectivity rate with a low error rate while reducing costs.

Analysis on inbound tourists' satisfaction in China: an empirical study based on the investigation of 5 cities

In China, the tourism industry is regarded as one means of fostering local economic development. This paper tries to examine inbound tourism development in China in the last decade and analyze inbound tourism's satisfaction of their travel experience with tourist attractions, facilities, services and price by an empirical study based on the investigation of Lanzhou, Wuhan, Guangzhou, Shanghai and Beijing. This paper discusses the demographic characteristics of visitors from Hong Kong, Macao and Taiwan, US, Korea and Japan by surveying a sample of 528 visitors in fi ve different cities. The survey showed that four provinces/autonomous region in western China ranked the top 10 popular destinations. Chinese natural landscape, culture and food were highly regarded by the tourists. At the same time, tourists expressed less satisfaction with tourist language convenience, tourist facility and nightlife in China. It was also found that only 7.4% of the tourists thought travel in China was far more than what they had paid, that 6.5% regarded they got what they paid for, and that 34.9% thought the travel cost was reasonable. Most tourists were satisfi ed with their travel experience in China; many of them would like to return to China and would like to recommend China. For the sustainable development of tourism, Chinese tourism authorities should strengthen the construction, propaganda and management of scenic spots, improve tourist facility and tourist education, especially language convenience, and strengthen the supervision of tickets, souvenir and hotel price.

A Co-Point Mapping-Based Approach to Drivable Area Detection for Self-Driving Cars

The randomness and complexity of urban traffic scenes make it a difficult task for self-driving cars to detect drivable areas, Inspired by human driving behaviors, we propose a novel method of drivable area detection for self-driving cars based on fusing pixel information from a monocular camera with spatial information from a light detection and ranging （LIDAR） scanner, Similar to the bijection of collineation, a new concept called co-point mapping, which is a bijection that maps points from the LIDAR scanner to points on the edge of the image segmentation, is introduced in the proposed method, Our method posi- tions candidate drivable areas through self-learning models based on the initial drivable areas that are obtained by fusing obstacle information with superpixels, In addition, a fusion of four features is applied in order to achieve a more robust performance, In particular, a feature called drivable degree （DD） is pro- posed to characterize the drivable degree of the LIDAR points, After the initial drivable area is characterized by the features obtained through self-learning, a Bayesian framework is utilized to calculate the final probability map of the drivable area, Our approach introduces no common hypothesis and requires no training steps; yet it yields a state-of-art performance when tested on the ROAD-KITTI benchmark, Experimental results demonstrate that the proposed method is a general and efficient approach for detecting drivable area,

Travel Motivation of Domestic Tourists to the Changbai Mountain Biosphere Reserve in Northeastern China: A Comparative Study

This article seeks to develop a fuller understanding of the social and attraction motives of domestic tourists who visit the Changbai Mountain Biosphere Reserve(CMBR) in Northeastern China. To do so, ecotourists are compared to general travelers visiting this area. A questionnaire was employed to collect data on visitor characteristics and motivations, responses to which were then analyzed via descriptive statistics, T-tests and principal component factor analysis. Results showed that 16% of the visitors to this area were classified as ecotourists, while the remainder general travelers. Five motivations displayed significant differences(P<0.05) between these two types of tourists. Three social motives – boosting self-confidence, feeling at home away from home and being together with family – and two attraction motives – indoor sports and viewing unique landscapes of the CMBR(crater lake, waterfall, gorge and hot spring) – were significantly more important for general travelers(P<0.05); while two social motives of experiencing the tranquility of the natural setting and the natural beauty of the landscape were relatively more important for ecotourists(P<0.1). Results suggest that ecotourists have distinct and complicated attraction and social motives compared to general travelers visiting the CMBR. Results have useful implications for researchers interested in tourist motivations and behavior, as well as for managers who wish to focus their marketing strategies more effectively. National Park of South Africa. Uysal et al.(1994) assessed the travel motives of Australian tourists to U.S. national parks and nature areas and formed five groupings including ‘relaxation/hobbies', ‘novelty', ‘enhancement of kinship relationship', ‘escape', and ‘prestige'. Tao et al.(2004) analyzed motivations of Asian tourists travelling to Taiwan's Taroko National Park using a self-defined approach and found that the most significant benefits sought by self-defined ecotourists are ‘learning about nature' and ‘participating in recreation activities'. Beh and Bruyere(2007) analyzed visitor motivations in three Kenyan national reserves, identifying the three most prominent kinds of tourists as escapers, learners and spiritualists. Pan and Ryan(2007) used factor analysis to reveal five motivational dimensions –‘relaxation', ‘social needs', ‘a sense of belonging', ‘mastery skills', and ‘intellectual needs' – of visitors to the Pirongia Forest Park in New Zealand. Kruger and Saayman(2010) did a comparative study on travel motivations of tourists to Kruger and Tsitsikamma National Parks in South Africa and found that common motives of tourists were ‘escape and relaxation' as well as ‘knowledge seeking', ‘nostalgia' and ‘park attributes'. Despite these efforts, on an overall basis past literature on why visitors travel to national parks and nature areas is still rather limited. In China, a number of empirical studies on tourist motivations have been conducted since the early 1990s(Chen and Miao 2006; Dong 2011; Huang et al. 2011; Jeffrey and Xie 1994; Lu 1997; Ma et al. 2013; Zhang 2012). Some studies have focused on motivations of visitors to nature reserves(Li 2007), geological parks(Chen and Qiao 2010), world heritage sites(Su et al. 2005), and seismic memorial sites(Tang 2014). However, most previous research findings on tourist motivations are not comparable, reflecting the fact that visitors to different parks have quite different motives due to the attributes of particular destinations, the geographic locations of these parks, types of available activities, marketing strategies, and the complexity of travel motives(Chen and Qiao 2010; Pan and Ryan 2007). While it is true that certain motivations were shared in varying degrees by most tourists to these places – i.e., ‘appreciating natural landscapes', ‘family and education', ‘social needs', and ‘perceived prestige of visit' – most previous research has not focused on natural settings as destinations. Thus travel motivations of tourists to these areas must be further explored and clarified in relation to impacts on particular natural areas and patterns of market segmentation. As one of the earliest and largest natural reserves established in China, the Changbai Mountain Biosphere Reserve(CMBR) has long been a draw not only for domestic tourists but also for international visitors, and tourism to the area has been growing steadily since 1980. With the number of visitors to the reserve having climbed to 2.44 million in 2010(Statistical Communiqué of the Changbai Mountain Protection and Development Zone of Jilin Province 2011), it has become imperative for local government officials and reserve wardens to understand tourists' desires and interests when identifying tourism development opportunities. However, the existing literature still suffers from a lack of empirical studies that investigate why people travel to the CMBR and whether tourist motives differ between groups such as ecotourists and general travelers. The target population for this study consists of domestic visitors to the CMBR. The goals of this research include:(1) to identify the social and attraction motives of domestic tourists that influence decisions to visit the CMBR;(2) to explore whether there are any differences between the motivations of these two types of tourists; and(3) to provide some useful management implications for local government and tourism marketers.

Chinese visiting Rovaniemi, Finland: profile and perceptions of Arctic tourists

The profile of the Chinese tourist is changing. Outbound tourism destinations for Chinese tourists are no longer limited to the Asia-Pacific region. Chinese tourists visit many different destinations, and the areas around the Arctic Circle are growing in attraction. This paper is based on a 2016 online survey about Chinese tourists visiting Rovaniemi, Finland. The questions were based on a previous study of the Finnish Tourist Board conducted in 2003. The results were analyzed and the two studies were compared. The resultant profile of the Chinese tourist visiting the Rovaniemi area showed natural landscapes to be the most important attraction. All respondents had a ＂must-do＂ activity, and more than half participated in sport and leisure activities. The state of the environment, natural landscape, and safety conditions were rated most important among tourists. Increasingly, tourists prefer to organize individual trips, using multiple information channels. Currently, Chinese tourists demand deeper tourism experiences. They want to enjoy winter activities in a pure environment, and unique experiences, such as sleeping in an ice or glass hotel. Chinese tourists appreciate the uniqueness that cannot be found in other places. They wish to benefit from travel information from various media, which will allow Chinese tourists to make a complete plan before their journey.

Navigation System for Foreign Tourists in Japan

The present study aimed to design, develop, operate and evaluate a sightseeing navigation system in order to support foreign tourists＇ efficient acquisition of sightseeing spot information in Japanese urban tourist areas, about which a variety of information is transmitted, by enabling information to be accumulated, shared and recommended. The system was developed by integrating Web-GIS （Geographic Information Systems）, SNS （Social Networking Services） as well as the recommendation system into a single system. The system used the non-language information such as signs, marks and pictograms in addition to English information, and displayed sightseeing spot information and conduct navigation on 2D and 3D digital maps of the Web-GIS. Additionally, the system was operated for two weeks in the central part of Yokohama city in Kanagawa Prefecture, Japan, and the total number of users was 54. Based on the results of the web questionnaire survey, all of the specific functions are highly evaluated, and the usefulness of the system when sightseeing was excellent. From the results of the access analysis of users＇ log data, it is evident that it can be said that the system was mainly used before sightseeing and users confirm their favorite sightseeing spots and made their tour planning in advance, using 2D and 3D digital maps.