Visitors to a Theme Park - Motives and Satisfaction: The Case of Janfusun, Taiwan

This thesis is a study that aims to understand the pre, during and post visit behaviours of theme park visitors. This study took place at Janfusun Fancyworld, which is situated at Gukeng village Yun-Lin County, Taiwan. The park was the first Taiwanese theme park to achieve ISO 9002 and has hosted over 2 million visitors every year almost since its inception over a decade ago. By these criteria Janfusun is considered the leading theme park in Taiwan. Theme parks originally emerged from medieval and travelling fairs, but the success of locations such as Coney Island in the late nineteenth century introduced the element of exciting rides. At present the definition of a 'theme park' might be said to be an 'amusement park' that possesses a central theme based on history, fiction or other core. However, it is the researcher's own observation that Janfusun focuses more on the installation of hardware facilities, but pays less attention in creating an unifying theme. This situation may have affected the research outcome since Janfusun operates more as an 'amusement park' from a western perspective but markets itself as a 'theme park' within Taiwan, and is consistent with a Taiwanese understanding of the term of being a 'theme park'. The main hypothesis adopted in this study is that satisfaction may be of two types: (1) generic, which relates to general 'push' needs such as those for relaxation, and (2) site specific, which relate to destination attraction features and 'pull' determinants. This thesis argues that the satisfaction of generic motives such as the requirement for relaxation and escape is contingent upon the ability of the attraction to meet the visit motives specific to the attraction. For example, a need for escape would not be met if a theme park visitor found the rides uninspiring, the portrayal of fantasy unconvincing and the food poor. Furthermore, researchers such as Foster (1999) suggest that some destination attributes, while considered important by the tourists, rarely act as an incentive to choose a specific destination, but the absence of these attributes can be a powerful deterrent. Some of the attributes, such as 'accessible toilets' and 'a place to rest', are considered as convenience factors in this thesis. This thesis attempts to understand the relationship of push, pull and convenience factors to the visitors' overall satisfaction. Also, this thesis tries to understand the role of socio-demographic variables in determining overall satisfaction. This thesis also includes a longitudinal study that allows the research to capture the effect of changes to visitors. For example, Janfusun has newly installed an artificial beach and wave feature that serves the social needs of its visitors. This thesis also examines the importance of repeat visitation in determining visitors' motivations and experiences. For example, it was found that visitors with high repeat visits are more aware of the 'new rides' than the first time visitors. Finally the last chapter attempts to answer two key questions, (a) why are the findings of importance to both conceptual literature and management practice, and (b) what might future researchers learn from this thesis. The objectives of this thesis are thus summarised as to: 1. Conduct a longitudinal study in Janfusun. 2. Identify visitors' pre-visit behaviour, which is associated with generic motives and push factors. 3. Identify visitors' during-visit behaviour, which is associated with site-specific features and pull factors. 4. Identify post-visit behaviour, which is associated with satisfaction and loyalty. 5. Identify the causal relationships between pre, during and post visit behaviours and conceptualise a model. 6. Identify the role of convenience factors

Depth Extraction from a Single Image and Its Application

In this chapter, a method for the generation of depth map was presented. To generate the depth map from an image, the proposed approach involves application of a sequence of blurring and deblurring operations on a point to determine the depth of the point. The proposed method makes no assumptions with regard to the properties of the scene in resolving depth ambiguity in complex images. Since applications involving depth map manipulation can be achieved by obtaining all-in-focus images through a deblurring operation and then blurring the obtained images, we have presented methods to derive all-in-focus images from our depth maps. Furthermore, 2D to 3D conversion can also be achieved from the estimated depth map. Some demonstrations show the performance and applications of the estimated depth map in this chapter

Barriers to implementing green management in the hospitality industry

© Copyright 2017 by Emerald Publishing Limited All rights of reproduction in any form reserved. Using the Analytical Hierarchy Process, this study aims to identify organizational and market factors that prevent hoteliers from adopting greener management systems. This study first constructs a list of critical factors based on expert judgments reported in the literature and the responses from a select group of experienced managers. Then, the list is further refined by six hotel managers who consolidate the factors, which results in four categories explained by 20 items. Subsequently, this study draws from surveys on an expert panel consisting of 20 study subjects who are familiar with hotel operations. The survey results show that hoteliers\u27 abilities to create a greener image are the most important factor influencing the managers\u27 decisions to adopt environmentally friendly management schemes. Nevertheless, their motivation of adopting a green strategy seems to be associated with a marketing strategy, instead of generic environmental stewardship

New Transitional Fleas from China Highlighting Diversity of Early Cretaceous Ectoparasitic Insects

SummaryFleas are a group of highly specialized blood-feeding ectoparasites whose early evolutionary history is poorly known [1, 2]. Although several recent discoveries have shed new light on the origin of the group [3, 4], a considerable gap exists between stem fleas and crown fleas. Here we report a new transitional flea, Saurophthirus exquisitus sp. nov., assigned to a new family Saurophthiridae fam. nov., from the Lower Cretaceous Yixian Formation of northeastern China. Saurophthirids are more similar to crown fleas than other stem fleas in having a relatively small body size, relatively short and slender piercing-sucking stylet mouthparts, comparably short and compact antennae, rows of short and stiff bristles on the thorax, and highly elongated legs. The new finding greatly improves our understanding of the morphological transition to the highly specialized body plan of extant fleas. However, saurophthirids also display several features unknown in other fleas, and some of these features are suggestive of a possible ectoparasitic relationship to contemporaneous pterosaurs, though other possibilities exist. The new fossils, in conjunction with previous discoveries, highlight a broad diversity of ectoparasitic insects in the mid-Mesozoic

A Deep Learning Approach to Radar-based QPE

In this study, we propose a volume-to-point framework for quantitative precipitation estimation (QPE) based on the Quantitative Precipitation Estimation and Segregation Using Multiple Sensor (QPESUMS) Mosaic Radar data set. With a data volume consisting of the time series of gridded radar reflectivities over the Taiwan area, we used machine learning algorithms to establish a statistical model for QPE in weather stations. The model extracts spatial and temporal features from the input data volume and then associates these features with the location-specific precipitations. In contrast to QPE methods based on the Z-R relation, we leverage the machine learning algorithms to automatically detect the evolution and movement of weather systems and associate these patterns to a location with specific topographic attributes. Specifically, we evaluated this framework with the hourly precipitation data of 45 weather stations in Taipei during 2013-2016. In comparison to the operational QPE scheme used by the Central Weather Bureau, the volume-to-point framework performed comparably well in general cases and excelled in detecting heavy-rainfall events. By using the current results as the reference benchmark, the proposed method can integrate the heterogeneous data sources and potentially improve the forecast in extreme precipitation scenarios.Comment: 22 pages, 11 figures. Published in Earth and Space Scienc

Image Restoration and Noise Reduction with Context-Dependent Wavelet Graph and ADMM Optimization

We represent the image noise reduction and restoration problems as context-dependent graphs and propose algorithms to derive the optimal graphs by the alternating direction method of multipliers (ADMM) method. An image is spatially decomposed into smooth regions and singular regions, consisting of edges and textures. The graph representing a smooth region is defined in the image domain, while that representing a singular region is defined in the wavelet domain. The optimal graphs are formulated as the solutions of constrained optimization problems over sparse graphs, where the sparseness is imposed on the edges. The graphs on the wavelet domain are solved in a hierarchical layer structure. The convergence and complexity of the algorithms have been studied. Simulation experiments demonstrate that the results of our algorithms are superior to the state-of-the-art algorithms for image noise reduction and restoration