旅游地居民环境行为研究综述

旅游地居民环境行为研究是旅游情境下环境行为研究不可或缺的环节。本文从研究进展、研究内容和研究方法3个方面出发,对旅游地居民环境行为的国内外研究进行梳理和分析。研究发现：（1）旅游地居民环境行为研究起步较晚,大致经历了萌芽（2002—2004年）、起步（2005—2013年）和发展（2014—2020年）3个阶段,国内外研究成果均较少,国外研究成果领先于国内;（2）旅游地居民地环境行为的概念界定尚未统一,测量量表的开发也较为薄弱;影响因素探究是旅游地居民环境行为的研究热点,但形成机制探讨相对匮乏,并缺少旅游地居民环境行为的预测研究;（3）旅游地居民环境行为研究方法较为单一,数据搜集方法以问卷调查为主,半结构式访谈为辅,数据分析方法以结构方程模型为主。基于此,分别从研究视角、研究内容和研究方法上剖析现有研究不足,指出旅游地居民环境行为未来研究方向,以期为旅游目的地环境管理提供有益指导。     

U.S. tourist destinations: A history of desirability

This study supplies a ranking of the most desirable tourist destinations for US travelers from 1907 through 1980, as gauged from a content analysis of travel-related advertisements appearing in two national magazines; Harper's Monthly and National Geographic. The amount of advertising space that features each destination is calculated, and from these totals the rankings of desirable destinations are derived. Maps and accompanying narrative give external validity to the content analysis, while use of consistent coding forms provides reliability. Listings of frequently visited areas accompany each map and narrative, and these in turn generally agree with those developed from the advertisements.     

A spatial approach for the management of groundwater quality in tourist destinations

Water resources and tourism need to be thought of in an integrated way, in order to provide urban planners and tourism managers with tools to promote water security and water equity. The objective of this paper was to apply an index capable of identify problems at the water-tourism interface, based on a spatial approach in GIS, meant to support the management of groundwater quality in tourist destinations. This index was applied to a tourist destination in northeastern Brazil, which uses groundwater to maintain its tourism infrastructure. The geographic phenomenon analyzed showed a spatial pattern between water use and tourism, with probable influences in hydrochemistry of groundwater. We suggest that the use of the propose index associated to GIS may be part of strategic planning efforts contemplating the interaction between tourism, urban management and water security, thus guaranteeing the infrastructure essential to strengthening the economy of a tourist destination.     

Gambling destinations and the effect of gambling results on tourist satisfaction and loyalty

ABSTRACT

Tourists visiting gambling destinations are likely to participate, to some or to a great extent, in gambling activities. Therefore, their gambling experience contributes to the evaluation of their experience at the destination. This study investigates the effect of gambling results on the overall satisfaction and loyalty of 7431 tourists visiting Macao by estimating a set of ordered probit models. The results indicate an asymmetric effect on the overall satisfaction: the negative effect of a losing outcome outweighs the positive effect of a winning outcome. Both winning and losing gambling outcomes have a positive and similar effect on the likelihood to recommend the destination, and the likelihood to revisit is affected in a positive way only by a winning outcome. The main determinants of tourist satisfaction and loyalty are further verified and the influence of tourist profile variables is also explored. Theoretical and managerial implications are outlined based on the results.     

Natural soundscapes and tourist loyalty to nature-based tourism destinations: the mediating effect of tourist satisfaction

ABSTRACT

The purpose of this study is to explore the effect of natural soundscapes on tourist behaviors in a nature-based tourism destination. A behavioral model depicting the relationship among tourist attitudes to natural soundscapes, natural soundscape image, tourist satisfaction, and loyalty is examined using structural equation model and bootstrapping analysis. Results indicate that tourist attitudes directly affect natural soundscape image but do not affect tourist satisfaction and loyalty. The natural soundscape image directly affects tourist satisfaction and indirectly affects tourist loyalty when mediated by tourist satisfaction. Positioning natural soundscapes as a novel tourism attractor, theoretical and managerial implications are presented.     

Reciprocal effect of tourist destinations on the strength of national tourism brands

The assignment of a brand to a product affects consumer's perceptions not only about the product, but also about the brand itself. The reciprocal effect of the product on its brand can be either positive or negative. Extending the concept of reciprocal effect to a new context, this study analyzed how consumer's perceptions about tourist destinations can affect the national tourism brand. An experiment showed that destinations leading to attitudes that are more positive than the average can strengthen the national tourism brand, while destinations leading to attitudes below the average can weaken it. Brand dilution can happen even when the outcome is effective from the destination's perspective. Because of the reciprocal effect, the determination of public policies in the destination level is usually inefficient from the country's perspective. These results reinforce the need for national brand governance.     

Coopetition and sustainable competitive advantage. The case of tourist destinations

This research paper focuses on coopetition among small and medium tourism enterprises (SMEs), and has two objectives. First it makes a theoretical contribution by establishing a model of variables that induce coopetition, the degrees to which coopetition exists and the relationship between those variables and firm performance. Second, it tests the modeling in the context of the tourism industry in Naples and Sorrento, Italy. The former comprises a sample of 149 accommodation providers and the latter 169. Building on survey data and local linkages between accommodation providers and SMEs in tourism it is found that coopetition improves performance but a key determinant is not only numbers of links but also acquired trust between partners.     

Tourism destinations: A universality conjecture based on network science

The structural characteristics of a tourism destination are of crucial importance since they influence its dynamic behavior. Many studies have shown that destinations have apparently similar topologies. The question posited in this paper is to what extent does this similarity hold, and whether these topologies can be considered as a universal trait. This study reanalyzes available data to test this conjecture. In particular, several quantities representing the topological structures of the destination are calculated; further, we obtain size-invariant and scalable similarity scores. The results indicate that destinations hold structurally similar, and arguably universal, characteristics. This finding is important as it suggests that there are some very basic (and consistent) strategies destination managers can develop when designing plans and actions.     

Thematic analysis of reviews on the air quality of tourist destinations from a sentiment analysis perspective

This thematic analysis examines whether reviews on transactional and social media websites can reflect the air quality of a tourist destination. We used linguistic and sentiment analysis methods to establish an analytical framework for assessing the credibility of the reviews with sufficiency and consistency analyses. We collected Ctrip and Sina Weibo reviews to analyze the sentiment values using deep learning and Baidu sentiment dictionary methods. We found that although the sentiment value of the Ctrip transactional comments on air quality was high, they hardly reflected reality. Conversely, the Sino Weibo social media comments were highly credible, despite their low sentiment values. Tourists' perception of air quality is mainly affected by intangible air factors (such as pollutants), then tangible air factors, hydrology factors and terrain factors. The study uses online reviews to analyze air quality and provides a reference for the environmental management of destinations and decision making among tourists.     

Passenger recovery after an airport closure at tourist destinations: A case study of Palma de Mallorca airport

In the context of increased concern about the resilience of critical transport infrastructure to external events and the impact of such events on local tourism industries, this paper analyzes the ability of tourism-oriented airports to relocate departing passengers in the event of an unexpected airport closure. A case study of Palma de Mallorca airport is presented. Using an MIDT dataset on passenger itineraries in August 2014, several closure scenarios are simulated, and disrupted passengers are relocated to minimum-delay itineraries. Aggregate delays and relocation rates are used to assess the impact of each scenario, with a particular focus on UK and Germany markets. The results provide useful benchmarks for the development of policies aimed at minimizing the impact on stranded tourists, such as allowing for passenger connections, establishing a protocol for interline cooperation, and improving intermodal transfers. These measures will help mitigate the negative impacts on airline loyalty and destination image.     

The impact of COVID-19 on European tourists' attitudes to air travel and the consequences for tourist destination evoked set formation

We study how risk conditions derived from the COVID-19 pandemic may impact on both the desire to travel and intention to visit of tourists and, therefore, on different stages of the destination choice process. We analyse 5134 million flight searches and 379 million flight picks during 2020 for the 17 largest European tourism source markets. An unweighted index number is employed to measure the average variation for searches and picks, for the year 2020, in relation to the reference base period (year 2019). This is done for air travel in general and to Spain specifically. The study then proceeds to conduct an analysis of 17 international travel destinations that are in the evoked sets of the two largest outbound markets in Europe (Germany and UK). We also identify which markets are most favourable to Spain. The research design can inform cost-efficient marketing decisions in a situation of high uncertainty.     

Power dimensions and influence reputation in tourist destinations: Empirical evidence from a network of actors and stakeholders

There is consensus among scholars and practitioners that planning and marketing of community-structured destinations requires a cooperative approach among numerous different actors. It is alleged that power plays a central role, in building the influence reputation of actors in such a cooperative network and thus is important in planning and decision-making. However, there is little empirical evidence with regard to the dimensions of power in a destination community context. This paper contributes to the understanding of how power is perceived by different individuals and stakeholder groups in an actor’s network of an Alpine tourist destination.     

A destination imagery processing model: Structural differences between dream and favourite destinations

The present paper aims at understanding how destination imagery is processed in tourists’ working memory. The research focuses on two highly desirable, but contrasting, destination brand categories: Favourite Destination, which involves retrospective memory of positive experiences in situ; and Dream Destination, based on tourists’ prospective memory. Through an online multilingual survey, 23,446 responses consisting of perceptions, evoked by way of free-recall, associated to Dream and Favourite Destinations, were collected. Findings point to clear structural differences between the imagery of Dream and Favourite Destinations. Additionally, a theoretical destination imagery model that offers a basis for future studies is proposed, and some managerial implications of significant relevance to destination marketing are discussed.     

Categorization of tourist attractions and the modeling of tourist cities: based on the co-plot method of multivariate analysis

This paper examines the relation between the trip characteristics of tourists and the attractions that they visit. This analysis was made possible by means of a new method of multivariate analysis—co-plot—that enables the simultaneous analysis of observations and variables and the graphic presentation of the interrelations among them. Jerusalem was seen as an “ideal” city for the demonstration of the co-plot method of data analysis due to the heterogeneity of its tourism. The research was conducted between September 1998 and March 1999. The results of the statistical analysis show that Jerusalem's tourist attractions can be categorized into four distinct groups and that there is a tendency of spatial concentration among sights belonging to the same group. Based on these results, a spatial model of tourism consumption in large cities was developed.     

The effect of distance on tourist behavior: A study based on social media data

Previous studies have mostly used government statistics and survey data to examine the effect of travel distance on tourist behavior. In this study, we used data obtained from Sina Weibo to analyze the travel patterns of tourists who visited Suzhou, China from April 2012 to October 2013. We divided tourists into three groups according to their origin: long-haul, short-haul, and local. A comparison of the three groups' spatial patterns, preferred attractions, restaurants, and hotels, and expenditure levels showed diverse behavioral and consumption patterns of the three groups. We further found a divergent effect of distance on hotel and restaurant expenditure, and the effect of distance on expenditure is less salient than income level and the sites they visited.     

Sport tourists' nostalgia and its effect on attitude and intentions: A multilevel approach

Given that sport tourists usually come to sporting events in groups and are exposed to multiple types of stimuli, the influence of sport tourists' nostalgia on their attitude or behavior can be more complex than in other settings. Thus, this study explored how sport tourists' nostalgia toward a sporting event shapes their intentions to engage in related activities when their attitude toward the event functions as a mediator. To this end, data gathered from U.S. sport tourists to college football games were analyzed using a multilevel approach. Results showed that the relationship between nostalgia and intentions concerning college football was fully mediated by attitude toward college football at both individual and group levels. Such findings provide evidence for the positive link between nostalgia and intentions in a sport tourism context as well as for the applicability of the Nostalgia Scale for Sport Tourism.     

A matrix model for resident attitudes and behaviours in a rapidly changing tourist area

This paper focuses upon the linkages between local resident perceptions of the impacts of a mega attraction, the Foxwoods casino and attitudes toward this casino; toward the tribe (the developers); and toward the casino as an economic development tool; as well as linkages with specific types of resident behaviours. Using data collected from 203 resident telephone interviews, these linkages are explored. Perceptions of casino impacts were found to influence attitudes toward the casino and toward the tribe. A matrix model which has been well referenced in the tourism literature but never before tested, was modified and used to analyse the linkage between attitudes and behaviours. A composite measure of attitude toward the casino was developed and this scale performed well on reliability and validity tests. A simplified version of this scale was applied to the attitudinal axis of the model. The behavioural dimension of the model was created using an index of positive, neutral and negative behaviours. Statistically significant results were achieved for attitudes toward the casino and specific behaviours and for attitudes toward the tribe and these behaviours. However, attitudes toward casinos as an economic development tool showed less significant results.     

Spatial and temporal modelling of tourist movements using Semi-Markov processes

Tourist movement is a complex process. It can be modelled from a number of different perspectives; for example, Tourism, Geography, Economics, Mathematics, Computer Sciences and Psychology. This paper aims to establish a sound methodology, using Semi-Markov processes to model the spatial and temporal movement of tourists. The objective is to understand, predict, control for, and optimise the decisions made by tourists in their choice of attractions. Semi-Markov processes have a Markov chain and a renewal process embedded within their structure, and as such, can be used to provide a wide variety of practical models. One of the outcomes of this approach is the introduction of a measure to assess the attractiveness of particular tourist attractions based on spatial and temporal interactions between the attractions. A case study conducted at Phillip Island Nature Park, Victoria, Australia is used to validate the model. The study’s results support the proposed model’s efficiency. The results are also practical and useful for assisting park managers and tourist operators with park planning and marketing decisions: for example, knowing which attractions are the most popular, how long tourists will spend at any one site; and what the likely routes are that they will follow.     

The influence of artistically recreated nature on the image of tourist destinations: Lanzarote's art,cultural and tourism visitor centres and their links to sustainable tourism marketing

Can distinctive natural assets in tourist destinations be artistically recreated and used to improve destination image and attract more visitors? This paper analyses the formation of the tourist image based on artistically recreated local nature icons, and shows how those images can enhance the overall destination image. It focuses on the island of Lanzarote, a destination with its development based on promoting an environmental image founded on the creation of a network of multifunctional, high-quality art, culture and tourism centres exhibiting artistic recreation of its unique environmental assets. The methodology utilizes a questionnaire (n = 453) structural equations modelling approach in which the overall image of the destination is directly dependent on the image of the environmental conditions and indirectly influenced by the image of the artistically recreated centres. Results show that the destination's image is significantly grounded on the image of the art, culture and tourism centres using art based on Lanzarote's natural assets. They suggest that destinations have relevant opportunities to artistically enhance natural assets to improve their tourist image and marketing, that quality multi-functional visitor centres can be important within a sustainable tourism policy, and part of the emerging breadth of approaches taken by sustainable tourism marketing.     

Toward an integrated model of tourist expectation formation and gender difference

This study aims to build and test a theoretical model of tourist expectation formation and seeks to explore the gender differences regarding how tourists form their expectations toward a travel destination. Survey data were obtained from 774 outbound Chinese tourists to Macao, and structural equation modelling was used to test the model and proposed hypotheses. The results reveal that travel motivation, advertising, and word-of-mouth (WOM) recommendations influence travelers' cognitive image and cognitive image interacts with affective image to form individuals' expectations toward travel destinations. Notably, the impacts of travel motivation and advertising on cognitive image, and of cognitive image on tourist expectations were significantly stronger for males than females, while the effects of WOM on cognitive image and of affective image on tourist expectations were stronger for females than males. Both theoretical and practical implications of these important findings are discussed.