Evaluating museum visitor experiences based on user-generated travel photos

ABSTRACT

This research introduces online travel photos published on social media platforms as a complementary data resource to examine the behavior and experience of museum visitors. The practical value of online travel photos is demonstrated through a case study of popular Hong Kong museums, particularly by using the photo content and metadata available from the Flickr platform. The proposed approach is a generic method for understanding museum visitor behavior and preferences, and supports museum practitioners in developing improved products for visitors. The case study findings are particularly beneficial for tourism managers, especially those in Hong Kong, in promoting and attracting tourists to visit local museums.     

我国现行税制中存在的重复征税问题

我国现行税制的基本框架是通过1994年税制改革建立起来的,而1994年税制改革正是以1993年宏观经济紧缩政策为背景设计的,从制度设计上没有充分考虑重复征税对经济运行的影响。本文拟对当前我国税制中存在的重复征税问题进行分析,并提出免除重复征税的具体措施。     

民族旅游地国内游客行为研究及其应用--以广西龙胜各族自治县为例

文章以龙胜国内游客行为研究为例对民族旅游地国内游客行为进行研究，通过大量的文案调研和问卷调研，重点分析了龙胜国内游客的人口统计学特征、需求与消费行为、游客的时空分布。在对游客行为的影响因素进行研究的同时，探讨了游客行为研究在市场导向型旅游规划产品设计中的应用。     

Three New Real Estate Price Indices for Geneva,Switzerland

This paper develops constant-quality price indices for three categories of real estate-apartment buildings, vacant land, and condominiums—for the city of Geneva, Switzerland. We use both the hedonic and repeat sales models to estimate the price level and, in turn, the rate of price change. The general pattern of each series suggests that real estate prices in Geneva were fairly stable throughout the 1970s, increased sharply during the 1980s, but gave back some of these gains in the early 1990s. Interestingly, the sharp rise in prices in the second half of the 1980s is very similar to that found in some regions of the United States. We also consider the problem, implicit in the repeat sales method, of revisions in previously estimated price indices as additional data become available in later years.     

The Effects of Attributes on the Repeat Sales Pattern of Residential Property in Hong Kong

There has been copious research work on the development of house price models and the construction of house price indices. However, results in some studies revealed that the accuracy of such indices could be subject to selection bias when using only information from a sample of sold properties to estimate value movements for the entire housing stock. In particular, estimated house price appreciation is usually systematically higher among properties that change hands more frequently. It therefore suggests that the determination of important factors affecting the transaction frequency or intensity of a housing unit should be a more fundamental research question. This paper examines the possible factors that determine the popularity of residential unit by means of a repeated sales pattern. The Poisson regression model and event history analysis techniques are employed to assess the effect of attributes on transaction frequency and intensity. The event history analyses technique can take account of transaction-specific as well as time-dependent covariates, and therefore is recommended for analyzing repeated sales data in a real estate market. All transaction records during the period 1993–2000 from the Land Registry of one of the most popular residential estates in Hong Kong were used to illustrate the method. Unlike a response to favorable transaction price, good quality units do not necessarily inherently display a high transaction frequency. Rather, units of average quality are more likely to be transactionally active.     

Validating a customer well-being index related to natural wildlife tourism

This study reports an attempt to validate a customer well-being (CWB) index related to natural wildlife tourism. It was hypothesized that the CWB index related to wildlife tourism has a positive influence on travel outcomes (length of stay, number of visits, and total expenses), mediated by perceived value and customer loyalty. These hypotheses were tested using four waves of surveys of customers (overnight visitors) intercepted at the park in a two-year period. The survey data provided support for the hypotheses, which, in turn, lend validation support to the CWB index. Managerial implications of the customer well-being index are also discussed.     

Crime prediction by data-driven Green’s function method

We develop an algorithm that forecasts cascading events, by employing a Green’s function scheme on the basis of the self-exciting point process model. This method is applied to open data of 10 types of crimes happened in Chicago. It shows a good prediction accuracy superior to or comparable to the standard methods which are the expectation–maximization method and prospective hotspot maps method. We find a cascade influence of the crimes that has a long-time, logarithmic tail; this result is consistent with an earlier study on burglaries. This long-tail feature cannot be reproduced by the other standard methods. In addition, a merit of the Green’s function method is the low computational cost in the case of high density of events and/or large amount of the training data.     

Factors influencing theme park visitor brand-switching behaviour as based on visitor perception

With the development of theme parks, which represent a multi-million-pound industry worldwide, research investigating the factors affecting theme park visitor brand-switching behaviour is an important method for improving theme park competitiveness. In the present work, models and research hypothesis are constructed based on visitor perception, and the survey data are collected and analysed to assess the hypothesis and to revise the conceptual model in this paper. The results indicate that there are seven factors influencing visitor brand-switching behaviour: ‘visitor variety-seeking', ‘visitor satisfaction', ‘switching cost', ‘perceived value', ‘competitor attraction', ‘theme park image' and ‘visitor involvement'. The perceived value and visitor satisfaction strongly influence brand-switching behaviour as intermediate variables. Visitor variety-seeking and competitor attraction are positively related to visitor brand switching behaviour, whereas the other five factors are negatively related to visitor brand-switching behaviour.     

Perceived Restorativeness of Visits to Cultural Heritage Sites

This study aimed to examine whether a causal relationship exists between perceived restorativeness and emotional healing, visitor satisfaction, and intention to revisit with respect to a visit to the Seooreung Shrine in South Korea. Attention restorativeness theory claims that four factors (being away, fascination, extent, and compatibility) induce a restorative environment. The results of the conducted survey support the four factors of attention restorativeness theory. Two distinct groups were identified and differences were discovered between the groups with respect to satisfaction and perceived restorativeness. Emotional healing exerted more influence on intention to revisit than visitor satisfaction. This study delivers a significant outcome as pioneer research on healing tourism by discovering emotional healing as a precedent variable to visitor satisfaction and intention to revisit in the area of cultural heritage tourism.     

The repeat travel market for Taiwan: A multi-stage segmentation approach

Despite the importance of market segmentation, the growth of the travel and tourism industry in Taiwan, and the repeat travel phenomenon in tourism, relatively few studies have examined the behavior of repeat travelers in the East Asia region. The present study was designed to fill this gap. This exploratory study applied multistage segmentation in the context of repeat travel behavior to Taiwan. It examined the socio-demographic profile, trip characteristics and expenditures of Taiwan inbound repeat travelers. The results indicated that nationality, income, type of travel arrangements and information search behavior significantly affected repeat travel behavior. In terms of travel expenditures, males spent significantly more than females. Those travelers between 40 and 60 years old tended to spend the most when they visited Taiwan compared to other groups. Chinese travelers were most likely to have traveled to Taiwan more than once among all nationalities compared in this study. Those from Korea and Japan spent the most money among all nationality groups. This study provided several significant implications for the marketers of tourism in Taiwan.