Scenic Location Research Articles

Attraction Recommendation Based on Tourism Context Modeling and Multi‐neural Collaborative Filtering Algorithm

The key to generating tailored suggestions in the scenic location recommendation scene is how to model the diverse tourism environments in order to correctly acquire visitor preferences and scenic spot tourism features. However, most existing recommendation algorithms focus on the spatiotemporal background modeling of historical tourism trajectories. Only tourists' preferences are understood, and the rich heterogeneous tourism information such as tourists' personal tourism constraints and scenic spots' tourism attributes are ignored. In this paper, we proposed a multiple neural collaborative filtering attraction recommendation architecture (MNCF‐AR). To begin, we learn the tourism feature representation of tourists by modeling diverse tourism contexts, and then we create the tourism trajectory background of tourists using a large number of actual tourism logs to achieve the entire feature representation of tourists. Second, to learn the feature vector of scenic spots in the context, the tourism heterogeneous network map is used to build the scenic spot attribute background, the self‐attention network to learn the scenic spot sequence learning, and a neural network to project each scenic spot into a unified potential feature space. Finally, the multi‐neural collaborative filtering method is utilized to forecast the difference in scores between visitors and scenic sites so that tailored scenic spots may be recommended. Extensive experiments on mainstream datasets, such as MaFengwo, New York, Tokyo and Xi'an, show that the proposed method can effectively and accurately recommend attractions for users. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

In the context of the COVID-19 pandemic, can the development of coastal ecological resources create a safe leisure and tourism environment, maintain ecology, and promote economic development in villages?

Context and aims The purpose of the study was to examine the impact of environmental development in the seashore waters of Maluan Bay on the current situation of sustainable development of coastal villages. Methods We used SPSS statistical software (ver. 26.0) to analyse the data with statistical verification, Student’s t-test and ANOVA, the used the inverview method to solicit opinions on the questionnarie results, and, finally, conducted multivariate inspection and analysis to explore the results. Key results The development of seashore waters can effectively enhance people’s positive perceptions of the current economic, social, environmental and coastal ecological development, and increase their willingness to revisit and purchase property. Also, the insufficient number of security guards in villages can be improved, the environmental awareness of residents and their willingness to participate in decision-making can be enhanced. Conclusions and implications Providing tourists with better tourism facilities, transportation, hotel and restaurant management and planning will increase leisure opportunities and solve environmental and waste problems such as in this scenic location. It will help achieve the goal of sustainable circular economy of water.

Classifying Vegetation Types in Mountainous Areas with Fused High Spatial Resolution Images: The Case of Huaguo Mountain, Jiangsu, China

This study tested image fusion quality aiming at vegetation classification in the Kongquegou scenic location on the southern slope of Huaguo Mountain in Lianyungang, Jiangsu Province, China. Four fusion algorithms were used to fuse WorldView-2 multispectral and panchromatic images: GS (Gram-Schmidt) transform, Ehlers, Wavelet transform, and Modified IHS. The fusion effect was evaluated through visual comparison, quantitative index analysis, and vegetation classification accuracy. The study result revealed that GS and Wavelet transformation produced higher spectral fidelity and better-quality fusion images, followed by Modified IHS and Ehlers. In terms of vegetation classification, for the Wavelet transform, both spectral information and adding spatial structure provided higher accuracy and displayed suitability for vegetation classification in the selected area. Meanwhile, although the spectral features obtained better classification accuracy using the Modified IHS, adding spatial structure to the classification process produced less improvement and a lower robustness effect. The GS transform yielded better spectral fidelity but relatively low vegetation classification accuracy using spectral features only and combined spectral features and spatial structure. Lastly, the Ehlers method’s vegetation classification results were similar to those of the GS transform image fusion method. Additionally, the accuracy was significantly improved in the fused images compared to the multispectral image. Overall, Wavelet transforms showed the best vegetation classification results in the study area among the four fusion algorithms.

Personalized Recommendation Algorithm of Tourist Attractions Based on Transfer Learning

With the development of information technology and the popularity of the Internet, the data on the network is growing exponentially. Information overload has become a significant issue for consumers seeking information. A recommendation system was created to detect users’ interests from huge amounts of data and to suit users’ specific information needs. Traditional collaborative filtering recommendation mostly uses scoring data for a recommendation, which has the problem of sparse data, which limits the performance of the recommendation system. On this basis, this paper studies the personalized recommendation algorithm of scenic spots with deep migration. Through the analysis of collaborative filtering recommendation methods, it is found that the traditional collaborative filtering methods only use scoring data for a recommendation, which has the problem of sparse data. Based on the vectorization of user interest, the similarity of user preference is calculated, and the matrix decomposition is carried out in cooperation with user implicit feedback, to integrate the knowledge transfer information into the matrix decomposition model, and make up for the lack of considering the attribute information of scenic spots in the matrix decomposition algorithm, and alleviate the problem of data sparsity. The findings of comparative trials suggest that the personalized scenic location recommendation approach proposed in this study, which is based on the depth migration algorithm, is effective. Compared with the benchmark recommendation method, the recommendation accuracy and recall rate has been improved to a certain extent.

From a Small Village to an Exclusive Gated Community: Unplanned Suburbanisation and Local Sovereignty in Post-Socialist Hungary

In Hungary, after the regime change in 1989, one of the most important institutional changes concerning suburbanisation was the high sovereignty of local authorities, albeit without appropriate funding for sovereign operation. This type of local sovereignty made mezzo-level planning and cooperation of independent municipalities ineffective. The inherent systemic political corruption of the rapid post-socialist privatisation hindered spontaneous cooperation as well. As a result, suburban infrastructure, even in municipalities with high-status residents, remained underdeveloped (from traffic connections through waste management to water provision). Our research field, Telki, was successful in selling land because its scenic location and the absence of industrial and commercial activities made it attractive for high-status suburban settlers. These newcomers were not interested in the further functional development of the village, and, as they took local political power, they successfully restricted economic and functional development. Consequently, selling land and introducing property taxes remained the most important source of income. The colonisation of the village by newcomers also meant the displacement of lower status original villagers and, today, mostly high-status families with young children feel at home in Telki. Others feel excluded not only because of real estate prices but also by the lack of appropriate functions or simply by the narrow concept of an appropriate lifestyle in the village defined by local power. The consequence of a complete lack of cooperation and rational planning is not only social injustice, elite segregation, and environmental harm, but also the reduced economic and housing potential of the Budapest agglomeration.

Residents’ Attitudes Towards a National Park Under Conditions of Suburbanisation and Tourism Pressure: A Case Study of Ojców National Park (Poland)

Abstract The article attempts to contribute to the global discussion on the social aspects of the functioning of protected areas. It explores the attitudes of local communities towards national parks and the determinants of those attitudes. The problem is presented using the example of Ojców National Park (Pol. OPN), a small-area national park located in the suburban zone of Kraków (Poland) and subject to strong pressure of tourism and suburbanisation. The analysis is based on interviews with people residing within the boundaries or buffer zone of the OPN. The residents are proud to live in a scenic location; they tend to perceive the national park in the context of its significant natural value rather than its administration and the related restrictions, and mostly approve of its existence. There is a high support for implementing the participative model of local area management. At the same time, however, the residents’ preferred methods of area management are in conflict with the need to protect the Park’s natural and landscape values. The residents favour commercial tourism infrastructure within the protected area and residential housing development in its close vicinity. The residents’ attitudes towards the Park are also shaped to a large extent by complex factors relating to the area’s history and its location within the suburban zone of a major city.

Integrating cross-sensor high spatial resolution satellite images to detect subtle forest vegetation change in the Purple Mountains, a national scenic spot in Nanjing, China

Accurate information on the location and magnitude of vegetation change in scenic areas can guide the configuration of tourism facilities and the formulation of vegetation protection measures. High spatial resolution remote sensing images can be used to detect subtle vegetation changes. The major objective of this study was to map and quantify forest vegetation changes in a national scenic location, the Purple Mountains of Nanjing, China, using multi-temporal cross-sensor high spatial resolution satellite images to identify the main drivers of the vegetation changes and provide a reference for sustainable management. We used Quickbird images acquired in 2004, IKONOS images acquired in 2009, and WorldView2 images acquired in 2015. Four pixel-based direct change detection methods including the normalized difference vegetation index difference method, multi-index integrated change analysis (MIICA), principal component analysis, and spectral gradient difference analysis were compared in terms of their change detection performances. Subsequently, the best pixel-based detection method in conjunction with object-oriented image analysis was used to extract subtle forest vegetation changes. An accuracy assessment using the stratified random sampling points was conducted to evaluate the performance of the change detection results. The results showed that the MIICA method was the best pixel-based change detection method. And the object-oriented MIICA with an overall accuracy of 0.907 and a kappa coefficient of 0.846 was superior to the pixel-based MIICA. From 2004 to 2009, areas of vegetation gain mainly occurred around the periphery of the study area, while areas of vegetation loss were observed in the interior and along the boundary of the study area due to construction activities, which contributed to 79% of the total area of vegetation loss. During 2009–2015, the greening initiatives around the construction areas increased the forest vegetation coverage, accounting for 84% of the total area of vegetation gain. In spite of this, vegetation loss occurred in the interior of the Purple Mountains due to infrastructure development that caused conversion from vegetation to impervious areas. We recommend that: (1) a local multi-agency team inspect and assess law enforcement regarding natural resource utilization; and (2) strengthen environmental awareness education.

CANGKUANG TEMPLE: A TRADITIONAL HERITAGE

Cangkuang temple is a populer site for cultural tourism in West Jawa. Located in Leles, the district of Garut, the Cangkuang temple stands out due to its scenic location and the temple’s cultural relics. Within the temple, there is a place to worship the God Shiva that lies adjacent to an Islamic cemetery. Many people believe that the tomb of Arif Mohammad who is a holy figure behind the spread of Islam in the area lies in this cemetery. Until now, people in the Cangkuang area maintain the legacy, which describes a state of society living in harmony by preserving their cultural heritage. People not only preserve the physical form of the building, but also maintain the will to respect one other. Thus, the cultural heritage is maintained by the society through cultural tourism. By making cultural heritage as a cultural tourism site, the public can take advantage of for the benefit of others, namely tourism. By making the area into a site of tourism, the profits earned by people around the location is not confined to certain advantages, but also social and economic benefits.

New Ashton Arch – functional assessment of direct and indirect construction costs and evaluation of service life with respect to flooding risk.

The bridge crossing the Cogmanskloof River in the town of Ashton, South Africa, had a history of over-topping due to severe flood events. The poor flood resilience of the bridge was aggravated by the generally hydraulically inefficient openings, the number of substructure supports in the river course, and a high debris load during flooding. The strategically important tourist route had to be closed, while localized flood damage repairs were undertaken, with resultant adverse effects on the local economy. As part of a road safety improvement project between the towns of Ashton and Montagu, improvement of the flooding resistance at the Ashton river bridge was required. This paper documents the functional evaluation of economicand technical-assessments of the flooding risks for the existing retro-fitted bridge. A new tied-arch bridge was the selected structural form of the replacement structure – based on the assessment of the key service life and constructability criteria. The structural form of the Ashton Arch paid careful regard to the scenic location and historic character of the previous multiple arch bridge form.

A Study on the Regional Differences and Influence Factors of Inbound Tourism Economy in Inner Mongolia of China

Based on statistics of Inner Mongolia of China, this paper studied the regional differences and influence factors of inbound tourism economy by analyzing the range, standard deviation, coefficient of variation and RHL. The results showed that the regional differences of inbound tourism economy were large. From the viewpoint of differences in regional development, the highest level was eastern Inner Mongolia and the lowest one was western. While from the viewpoint of urban differences, Hulunbeier and Xilingol’s development was highest, Wuhai and Hinggan’s development was lowest. The absolute discrepancy increased and the relative discrepancy reduced gradually. The main influence factors of regional difference included scenic area number, traffic conditions, geographical location and tourist market surrounding. However, the change of difference in inbound tourism economy was rarely influenced by the development level of regional economy, but only closely related to the local development of agricultural economy.

Talent Acquisition and Retention in Social Enterprises: Innovations in HR Strategies

Over the years there has been a phenomenal growth in the number of social enterprises in India. This is partly a consequence of a new policy of the government to gradually withdraw from social development activities. The gap thus created is being filled by social enterprises. A social enterprise can be a ‘for-profit’ or ‘not-for-profit’ venture engaged in income-generating activities with an agenda of bringing about a positive change in the society. While social enterprises are engaged in the development of people, it is rather paradoxical that they experience a variety of problems with respect to the management of human resources within their enterprises. It is common knowledge that social enterprises perennially struggle with various critical human resource issues such as getting employees at low rates of compensation, providing growth opportunities for employees within the organization, retaining talent especially in the middle management, providing clearly defined roles and tasks to employees, etc, leading to high attrition and increasing the cost of acquiring and training new employees. It thus, becomes critical for social enterprises to think out-of-the-box and try a variety of innovative strategies to overcome these problems. This paper discusses a few such innovative HR strategies adopted by social enterprises to attract and retain talent, such as offering jobs to people with vision and value congruence, enhancing the credibility of the organization through brand building, providing opportunities for personal growth, creating a sense of ownership among employees through participation in decision making, creating sense of ownership among employees by giving equity shares, creating entrepreneurial opportunities within the organization, finding employees from among beneficiaries, attracting employees to serene lifestyle in peaceful and scenic location and providing attractive fringe benefits to employees. Collectively these strategies seem to suggest that social enterprises adopt a ‘partnership paradigm’ for managing their employees.

TALENT ACQUISITION AND RETENTION IN SOCIAL ENTERPRISES

Over the years there has been a phenomenal growth in the number of social enterprises in India. This is partly a consequence of a new policy of the government to gradually withdraw from social development activities. The gap thus created is being filled by social enterprises. A social enterprise can be a for-profit or not-for-profit venture engaged in income-generating activities with an agenda of bringing positive change in the society. While social enterprises are engaged in the development of people, it is rather paradoxical that they experience a variety of problems with respect to the management of human resources within their enterprises. It is common knowledge that social enterprises perennially struggle with various critical human resources issues such as getting employees at low rates of compensation, providing growth opportunities for employees within the organization, retaining talent especially in the middle management, providing clearly defined roles and tasks to employees, leading to high attri - tion and increasing the cost of acquiring and training new employees. Thus, it becomes critical for social enterprises to think out-of-the-box and try a variety of innovative strategies to overcome these problems. This paper discusses a few such innovative HR strategies adopted by social enterprises to attract and retain talent, such as offering jobs to people with vision and value congruence, enhancing the credibility of the organization through brand building, providing opportunities for personal growth, creating a sense of ownership among employees through participation in decision making, creating sense of ownership among employees by giving equity shares, creating entrepreneurial opportunities within the organization, finding employees from among beneficiaries, attracting employees to serene lifestyle in peaceful and scenic location and providing attractive fringe benefits to the employees. Collectively these strategies seem to suggest that social enterprises adopt a 'partnership paradigm' for managing their employees.

Society for Obstetric Anesthesia and Perinatology 39th Annual Meeting.

Society for Obstetric Anesthesia and Perinatology 39th Annual Meeting.

Reflection on implementing a care pathway for the last days of life in nursing homes in North Wales

North Wales, in the UK, is a popular scenic location for retirement. An above-average concentration of nursing homes leads to a high number of residents with palliative care needs. UK nursing homes are usually privately owned and provide nursing care for elderly clients unable to maintain independence in their own home. Increasingly, nursing home residents are being referred to as ‘patients’ rather than ‘clients’, reflecting the fact that individuals are being admitted in a more acute phase of their illness. The length of stay is now often days or weeks rather than months or years.

Study on function of components of dynamic system of tourism development in developed region

In the forming of the Dynamic System of Tourism Development (DSTD) in developed regions from the view of supply side, the Delphi Method and the Analytical Hierarchy Process (AHP) are used to count the weight of each component of the DSTD. It has been found that the attraction subsystem is the most important one of the three subsystems at the first hierarchical level of DSTD, which means that tourist attractions are always the principal factors for regional tourism development, even in developed regions. But it is also noteworthy that the significance of the attraction subsystem is not dominant in the DSTD. At the second hierarchical level, the physical attraction subsystem rank No. 1, while the weight of the non-physical attraction subsystem is just a little larger than the weight of the hardware subsystem and that of software subsystem. And the weights of the three components in the medium subsystem are similar. The top 3 factors at the third hierarchical level are scenic spot, location and regional economic impact. The result verifies the conclusions of qualitative analysis, which depends on the market research and the study of historical date, that the most important component of the DSTD in Foshan is the impact of the developed economy. Knowing the weight of each component of the DSTD can be helpful to make out the most useful force, furthermore to determine the future orientation for regional tourism development.

104th Event of the European Federation of Biotechnology “Physiology of Yeasts and Filamentous Fungi”

In the first week of July 2001, some 150 scientists working on the physiology of yeasts and filamentous fungi convened for a 3-day symposium at Hindsgavl Castle in Denmark. The relevance of yeasts and filamentous fungi as industrial microorganisms was evident from the extensive participation of industrial scientists (over one quarter of the participants). The meeting was held under the auspices of the European Federation of Biotechnology and the Federation of European Microbiological Societies and organized by Lisbeth Olsson and her colleagues at the Center for Process Biotechnology (Technical University, Lyngby, Denmark). Participants will remember the symposium for the tropical Danish weather, the scenic location, the delicious food and the excellent organization. Even more strongly, this meeting will be remembered as a high-quality scientific event at a pivotal moment in the history of yeast and fungal physiology. The stage was set by Jens Nielsen who, in his introductory keynote lecture, eloquently described the state of flux in which present-day microbial physiology finds itself. Although the central mission of microbial physiology has always been the understanding of overall cellular function, the field has for several decades been dominated by a reductionist approach. Molecular aspects of growth, catalysis and regulation were studied in ever greater detail, with an inherent danger …