Research on the Construction and Application of Service Quality Evaluation Models for Scenic Spots:Taking Chongqing Ciqikou as an Example

In the current environment of increasingly fierce competition in the tourism industry,service quality has become crucial for enhancing the competitiveness of scenic spots.This paper uses the SERVQUAL model to design a service quality evaluation questionnaire that captures the gap between tourists’expectations and perceptions,using the Ciqikou Scenic Spot as a case study.Data collected from field surveys are used to comprehensively and meticulously evaluate the service quality of the Ciqikou Scenic Spot.The analysis results show that the scenic spot,with its unique folk culture experience and beautiful ecological environment,has certain advantages in terms of service quality.However,significant deficiencies exist in infrastructure and environmental hygiene.Accordingly,targeted improvement suggestions are proposed to further enhance the service quality of the Ciqikou Scenic Spot and meet the increasingly diverse and personalized needs of tourists.This study provides not only a specific service quality improvement strategy for the Ciqikou Scenic Spot but also a valuable reference for other tourist attractions.

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.

Economic Valuation of Auctioned Tourist Hunting Blocks in Tanzania

Economic valuation of ecosystems is increasingly being recognized as an important exercise to inform sustainable utilization and conservation of natural assets. It helps in planning and establishing fair profit margins that accrue either directly or indirectly from the consumptive and non-consumptive uses of ecosystem goods and services. This paper is based on a study which estimated the economic values of tourist hunting blocks (HBs) in Tanzania using the Analytic Multicriteria Valuation Method (AMUVAM). The study used a sample size of 12 out of 24 vacant hunting blocks which were to be auctioned to potential hunting companies in December 2022. The economic values of HBs were estimated using the time horizon of 10 years (the mean tenure for winning company). The results show that the economic values ranged from USD 6,215,588 to USD 653,470,695 per hunting block and the Existence Value (EV) constituted about 19% of the Total Economic Value (TEV). EV ranged from USD 632,210 to USD 125,147,285. The study underscores the need for decisions to allocate ecosystems, such as HBs, to both direct and indirect uses, to be guided by a though understanding of their values. We further recommend building the capacity of staff charged with the role of managing and allocating uses of these ecosystems to enable them undertake economic valuation of ecosystems using both simple and more robust analytical tools, such as the GIS, relational databases, and worldwide websites based tools, like InVEST (Integrated Valuation of Environmental Services and Tradeoffs), ARIES (Artificial Intelligence for Ecosystem Services), and Co$ting Nature.

Economic Valuation of River Conservation towards International Tourists’ Preferences and Willingness to Pay for Ecofriendly Services of Hotel Industry: A Case Study of Namxong River in Vangvieng District, Laos

Using choice experiment, the objective of this study is to estimate international tourists’ preferences and willingness to pay for ecofriendly services which related to river and natural environment conservation of hotel industry in Vangvieng, a popular tourist town in Lao PDR. We used the mixed logit to take into account of preference heterogeneity by allowing coefficients to be normally distributed and assumed to vary among individuals. The result shows that all ecofriendly practices offered in this study are significantly preferred by tourists. Income, age, and education did not have significant effect on the probability of choosing ecologically friendly practices of hotel and attributes to support the ecotourism of the area;however, this study provides important information that female tourists are more receptive to a new alternative. These findings do not only support the provision of good and green services in Vangvieng Town, but will also be useful for policy maker to enhance the sustainability of ecotourism in Laos.

Tourists' Demand for Heritage Utilization Based on Fuzzy Comprehensive Evaluation:A Case Study of the Summer Palace

Under the background of whole-region tourism,heritage is utilized in a more diversified and various way.With the continuous deepening of the experience economy,the integration of various technical means such as VR and AR,and the construction of Internet platforms,it is more necessary to integrate various utilization methods,so that tourists can get more humanized and personalized experience in addition to traditional displays,and more intuitively feel the space,history,allusions,handicrafts and other aspects of Chinese heritage,showing the charm of Chinese traditional culture.In this paper,based on literature analysis,the utilization methods of heritage were sorted out,and the survey questionnaires were analyzed by analytic hierarchy process (AHP).A model was established to obtain the weight of various utilization methods,and the fuzzy comprehensive evaluation method was used to conduct empirical research with the Summer Palace as an example.It is concluded that in the future utilization of heritage,on the basis of heritage protection as much as possible,combining traditional festivals,special themes,etc.to carry out various forms of activity and experience utilization will more effectively improve the satisfaction of tourists and achieve the purpose of inheriting culture.

Evaluation and Characteristic Advantages of Rural Tourist Resources in Shaanxi Province,China

The concept of rural tourist resources was introduced to analyze the present rural tourism development in Shaanxi Province,tourist resources in its rural areas were investigated comprehensively,structures,quantity and quality of 7 major types of both natural and cultural tourist resources were evaluated,and resource combinations were also analyzed from the perspective of geological location.Characteristics and advantages of rural tourist resources in Shaanxi Province were summarized as "abundant,diversified and high-quality";rural cultural tourist resources took the Absolute predominance and had great development potentials;cultural tourist resources such as folk cultures had distinctive regional features;rural natural tourist resources had obvious regional characteristics;resources were reasonably combined,each resource region had its own features.This study aimed at providing scientific support for the development,planning and protection of rural tourist resources in Shaanxi Province.

Evaluation of Tourist's Satisfaction Degree of Dongda Hot Spring Resort Area in Xi'an City

Tourist's satisfaction degree is one of the important indexes to evaluate the service quality of scenic spot.Taking Xi'an Dongda Hot Spring Resort Area for an example,with the expectation difference theory and customers' satisfaction evaluation model as the theoretical basis of the research,the overall satisfaction degree of tourists to hot spring resort area,and the actual sensation accomplishments and the expectation difference of each service index were analyzed by using regression analysis and paired sample t test method.The results showed:① The overall satisfaction degree of tourists to the resort area was higher.There were remarkable correlation among three variables:the sensation value,the overall satisfaction degree,and the tourist's loyalty degree;② Generally,the sensation actual accomplishments of 15 service appraisal factors were higher than the expectation value.According to the characteristics,these 15 service appraisal factors were divided into 5 groups.Some unsatisfactory aspects were found out,and the corrective measures were put forward.

Evaluation of Tourist Resources in Liuchong and Longtan Scenic Spots of Longtan National Forest Park

To further explore characteristics of tourist resources in Liuchong and Longtan Scenic spots in Longtan National Forest Park,Classification,Investigation and Evaluation of Tourist Resources(GB/T18972-2003) and Quality Grading of Scenic Resources in Forest Parks of China(GB/T18005-1999) were adopted to analyze composition and distribution features of tourist resources in Liuchong and Longtan Scenic Spots,qualitative evaluation of scenic resources in the 2 study scenic spots,quantitative evaluation of resource units and quality evaluation of tourist resources were respectively carried out.The results showed that the park has diversified tourist resources such as peaks,valleys,cliffs,brooks,waterfalls and forests,as well as rich animal and plant species and an excellent natural eco-environment;5 Grade-IV tourist landscapes,6 Grade-III tourist landscapes,14 Grade-II ones,4 Grade-I ones;quality of tourist resources was scored as 41.3,up to the scenic resource standards of Grade-I Forest Park.

Study on Quantitative Evaluation of Rural Tourist Resources in Xichang City

Quantitative evaluation was conducted on rural tourist resources in Xichang City by national standard resources grading method and analytic hierarchy process. It was concluded that rural tourist resources in Xichang City were diversified in resources type and high in resources value and there were excellent rural tourist resources. The study provided a scientific and quantitative evaluation for reasonable development of rural tourism.

Evaluation of the water conservation function in the Ili River Delta of Central Asia based on the InVEST model

The Ili River Delta(IRD)is an ecological security barrier for the Lake Balkhash and an important water conservation area in Central Asia.In this study,we selected the IRD as a typical research area,and simulated the water yield and water conservation from 1975 to 2020 using the water yield module of the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model.We further analyzed the temporal and spatial variations in the water yield and water conservation in the IRD from 1975 to 2020,and investigated the main driving factors(precipitation,potential evapotranspiration,land use/land cover change,and inflow from the Ili River)of the water conservation variation based on the linear regression,piecewise linear regression,and Pearson's correlation coefficient analyses.The results indicated that from 1975 to 2020,the water yield and water conservation in the IRD showed a decreasing trend,and the spatial distribution pattern was"high in the east and low in the west";overall,the water conservation of all land use types decreased slightly.The water conservation volume of grassland was the most reduced,although the area of grassland increased owing to the increased inflow from the Ili River.At the same time,the increased inflow has led to the expansion of wetland areas,the improvement of vegetation growth,and the increase of regional evapotranspiration,thus resulting in an overall reduction in the water conservation.The water conservation depth and precipitation had similar spatial distribution patterns;the change in climate factors was the main reason for the decline in the water conservation function in the delta.The reservoir in the upper reaches of the IRD regulated runoff into the Lake Balkhash,promoted vegetation restoration,and had a positive effect on the water conservation;however,this positive effect cannot offset the negative effect of enhanced evapotranspiration.These results provide a reference for the rational allocation of water resources and ecosystem protection in the IRD.

Valuation of debris flow mitigation measures in tourist towns:a case study on Hongchun gully in southwest China

The estimation of the value on the engineering project in tourist towns is usually very challenging and controversial. In this study, an attempt has been made to evaluate the economic value of the debris flow control engineering in tourist towns by integrating both welfare and disaster economics. The total value of debris flow prevention and control engineering in tourist towns(VDFE) includes investment cost(IC), disaster mitigation benefit(DMB), and loss of brand value(LBV). Here DMB is assessed by the cost-benefit method. The LBV is estimated by incorporating brand equity and costbenefit methods. The engineering for debris flow control in the Hongchun Gully of southwest China was built to protect Yingxiu tourist town and was assessed as an example. The IC for the engineering is180 million RMB, however, the VDFE reaches as high as 3401 million RMB, of which the LBV is 169 million RMB, and the input-output ratio is 1:18. Thus, the LBV cannot be neglected in case of VDFE estimation process. The more developed the tourism in one town or city is, the greater the LBV and the higher the VDFE are.

Mass Valuation of Unimproved Land Value Case Study: Nairobi County

The purpose of this study is to investigate mass valuation of unimproved land value using machine learning techniques. The study was conducted in Nairobi County. It is one of the 47 Kenyan Counties under the 2010 constitution. A total of 1440 geocoded data points containing the market selling price of vacant land in Nairobi were web scraped from major property listing websites. These data points were adopted as dependent variables given as unit price of vacant land per square meter. The Covariates used in this study were categorized into Accessibility, Environmental, Physical and Socio-Economic Factors. Due to multi-collinearity problem present in the covariates, PLS and PCA methods were adopted to transform the observed features using a set of vectors. These methods resulted in an uncorrelated set of components that were used in training machine learning algorithms. The dependent variable and uncorrelated components derived feature reduction methods were used as training data for training different machine learning regression models namely;Random forest, support vector regression and extreme gradient boosting regression (XGboost regression). PLS performed better than PCA because the former maximizes the covariance between dependent and independent variables while the latter maximizes variance between the independent variables only and ignores the relationship between predictors and response. The first 9 components were identified as significant both by PLS and PCA methods. The spatial distribution of vacant land value within Nairobi County was consistent for all the three machine learning models. It was also noted that the land value pattern was higher in the central business district and the pattern spread northwards and westwards relative to the CBD. A relative low vacant land value pattern was observed on the eastern side of the county and also at the extreme periphery of Nairobi County boundary. From the accuracy metrics of R-squared and MAPE, Random Forest Regression model performed better than XGBoost and SVR models. This confirms the capability of random forest model to predict valid estimates of vacant land value for purposes of property taxation in Nairobi County.

Evaluation of the potential of coastal cliffs as geosites for the promotion of geotourism

Coastal zones, with their significant geodiversity, are vital areas for geotourism. Effective management is crucial to harness the geological interest of these sites as geotourism resources while ensuring their conservation. ManabíProvince is one of the most representative regions along the Ecuadorian coast due to its beaches and coastal cliffs, offering a wealth of tourist attractions and cultural elements. This study aims to evaluate the geosite potential of six cliffs in ManabíProvince through quantitative and qualitative analyses to propose geotourism promotion strategies. The methodology involves (i) inventory and characterisation of the cliffs, (ii) assessment of the sites by the Spanish Inventory of Places of Geological Interest method (IELIG), and (iii) qualitative evaluation through focus group discussions and Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis. The results reveal that all six sites boast diverse geological assets, including geomorphological, stratigraphic, sedimentological, and tectonic elements. They are characterised by “high ”scientific, didactic, and tourist interest, while also being sus- ceptible to degradation due to natural and anthropic threats. The SWOT analysis demonstrates that the valuable geological and geomorphological heritage of potential geosites provides an opportunity to foster geotourism and boost the province’s economy, incorporating geoconservation and geoeducation strategies. This study proposes a georoute called “Ruta Acantilados del Sol ”, a 245 km journey encompassing all six sites, incorporating diverse tourist and cultural activities. Our research lays the foundation for fostering geotourism along the Manabícoast and strengthening the connection between nature, heritage, and the welfare of residents within a global resilience plan.

Estimating the value of a statistical life in China: A contingent valuation study in six representative cities

The value of a statistical life(VSL)is a crucial tool for monetizing health impacts.To explore the VSL in China,this study examines people’s willingness to pay(WTP)to reduce death risk from air pollution in six representative cities in China based on face-to-face contingent valuation interviews(n=3936)from March 7,2019 to September 30,2019.The results reveal that the WTP varied from CNY 455 to 763 in 2019(USD 66-111),corresponding to a VSL range of CNY 3.79-6.36 million(USD 549395-921940).The VSL in China in 2019 is estimated to be CNY 4.76 million(USD 689659).The statistics indicate that monthly expenditure levels,environmental concerns,risk attitudes,and assumed market acceptance,which have seldom been dis‐cussed in previous studies,significantly impact WTP and VSL.These findings will serve as a reference for ana‐lyzing mortality risk reduction benefits in future research and for policymaking.

Evaluation and Quantitative Attribution Analysis of Water Yield Services in the Peak-cluster Depression Basins in Southwest of Guangxi,China

Karst environmental issues have become one of the hot spots in contemporary international geological research. The same problem of water shortage is one of the hot spots of global concern. The peak-cluster depression basins in southwest of Guangxi is an important water connotation and ecological barrier areas in the Pearl River Basin of China. Thus, studying the spatial and temporal variations and the influencing factors of its water yield services is critical to achieve the sustainable development of water resources and ecological environmental protection in this region. As such, this paper uses the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST) model to assess the spatial and temporal variabilities of water yield services and its trends in the peak-cluster depression basins in southwest of Guangxi from 2000 to 2020. This work also integrates precipitation(Pre), reference evapotranspiration(ET), temperature(Tem), digital elevation model(DEM), slope, normalized difference vegetation index(NDVI), land use/land cover(LULC) and soil type to reveal the main factors that influence water yield services with the help of Geodetector. Results show that: 1) in time scale,the total annual water yield in the study area show a fluctuating and increasing trend from 2000 to 2020, with a growth rate of 7.3753 × 10^(8)m^(3)/yr, and its multi-year average water yield was 538.07 mm;2) in spatial pattern, with high yield areas mainly distributed in the south of the study area(mainly including Shangsi County, Pingxiang City, Ningming County, Longzhou County and Jingxi County), and low yield areas mainly distributed in Baise City and Nanning City;3) the dominant factor of water yield within karst and non-karst landforms is not necessarily controlled by precipitation, and the explanation degree of DEM factors in karst areas is significantly higher than that in non-karst areas;4) amongst the climatic factors, Pre, ET and Tem are dominant in the spatial pattern of region water yield capacity. among which Pre has the highest explanatory power for the spatial heterogeneity of annual water production, with q values above0.8, and each driver showed a significant interaction on the spatial distribution of water yield, with Pre exhibiting the strongest interaction with LULC.

The Mediating Effect of Social Media on the Relationship Between Travel Preference and Tourist Behavior of Local Tourists in Davao City

This paper aims to determine the mediating effect of social media on the relationship between travel behavior and tourist preference.This paper utilized the mediation analysis design to determine whether social media significantly affects the independent and dependent variables.For the statistical tools,the proponents of the study utilized descriptive statistics,Sobel’s test,mean and standard deviation.Also,the proponents of the study utilized data from questionnaires gathered through an online google form.Most of the respondents are single females,college-level,and use Facebook most of the time.Therefore,this is the social media platform that the majority utilize.It has been revealed in the study the three sets of correlated variables:Travel behavior vs.tourist behavior,travel preference vs.social media,and social media vs.tourist behavior,have a strong positive linear relationship between the two quantitative variables.Thus,the study proponents concluded that there is an indirect effect between the travel preference and tourist behavior of local tourists in Davao City via social media.Lastly,the study’s findings reveal the fundamentals of how visitors make decisions,which are essential for enhancing the competitive advantages of cultural destinations.Significant findings from the study are beneficial to the growth of cultural tourism in Davao City.

Tourists’Willingness to Pay for Recreation Services in Nyerere National Park,Tanzania:Are We Overvaluing or Undervaluing Our Nature Recreation Resources?

This study estimated tourists’Willingness to Pay(WTP)per day for recreation services in Nyerere National Park(NNP)and compared these values with daily travel costs that are incurred by tourists to visit NNP in order to inform whether recreation resources in the park are overvalued or undervalued.The study revealed that tourists’WTP per day for recreation services was estimated at$237.4 and$1521 for resident and non-resident tourists,respectively.The estimated tourists’WTP values exceed the daily travel costs currently incurred by tourists,which are$201.04 and$1517.97 for resident and non-resident tourists,respectively.This indicates that tourists are willing to spend more to enjoy recreation services in NNP,which signifies that recreation resources in NNP are slightly undervalued.In addi­tion,the findings disclosed that the largest share of tourist daily travel expenses is allocated to transportation services,and very little is paid to the park as a conservation fee.It was revealed that out of the daily travel expenses incurred by non-resident and resident tourists,only 4.62%and 2.23%are respectively paid directly to NNP as conservation fees.This study considers that allocation is not very fair;thus,NNP,in collaboration with TANAPA,needs to adjust the current entrance or conservation fee and reduce the transportation costs charged by tourist companies.The travel costs incurred by tourists,age,education,monthly income,site visited,substitute site,and quality of park were identified as significant factors in influencing tourists’WTP for recreation services in NNP.Thus,policies oriented to reduce tour­ists’transportation costs and improve the quality of national parks would attract more tourists to NNP.

Classification and Protective Measures of Geological Relics Based on Tourist Perception and Evaluation Perspective

The existing studies of geological relics have formed a classification system,which is based on geological relic cause factors.According to the geological relics of the tourist conception and perspective of tourism evaluation examples from Hunan Province,the author proposed the

Return of Chinese Tourists

South Africa on 29 March received the first group of 13 tourists from China over the past three years.The tourists,taking a flight from Air China,landed at O.R.Tambo International Airport in Johannesburg and were welcomed by people from different walks of life.