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The next generation of mobility is arising, and various challenging mobilities have entered the limelight. One of the most exciting of these is urban air mobility (UAM), and one of its challenges is constructing effective and efficient UAM service network. This study took a quantitative approach to the problem in an effort to support and facilitate the UAM service industry.

This study derived a multi-objective and multi-period (MOMP) location optimization model to support strategic UAM service network design. The model, based on its long-term service plan, determines where and when to open UAM airports. In addition, this study applied a modified e-constraint algorithm to derive managerial decisions on the Pareto relationship in consideration of multiple objectives and multiple periods.

Each Pareto solution represents a different UAM service network configuration. Thus, the model can analyze the trade-offs between Pareto decisions for the UAM service network. A case study of UAM service network design in South Korea demonstrates the validity of the proposed mathematical model and algorithm.

The design of a UAM service network should consider various aspects. Its construction and operation would require significant investments of time, capital and people, which would redound to society over a significant span of time. The results of this study provide quantitative guidelines for derivation and analysis of various UAM service network configurations in consideration of multiple objectives and multiple periods.

This paper proposes MOMP optimization, which approach is suitable to the fundamental characteristics of expanding UAM service networks and their design. It is expected that the present study will make significant contributions to the efforts of those deriving and analyzing future UAM service networks.

The purpose of this paper is to study the overall framework in which the Urban Air Mobility (UAM) deployment is expected to be implemented. Another aim of the study is to give a better overview on the current regulations and standards including the impact of the regulations on the industry, operations and cities.

This paper performs a literature review on the regulatory framework, which provides a clear view of the current regulations and standards. The review includes the insight into the details of possible international rules for the future, considering operations in the specific and certified categories. The impact and trends of current and future regulations are also presented.

The analysis described in this paper shows a strong upward trend in UAM technical and operational developments as well as further potential for a successful incorporation in city mobility concepts. This paper indicates the importance of the representatives of guideline development organizations, industry, agencies and other important players involved in the standard development process.

This section describes synthesis on the required level of safety for UAM operations as well as description on the impact of the regulations from different perspectives, including industry and certification of urban aircraft, operations and air traffic management, cities and the governance of the urban airspace and well as technology.

Barriers such as legislation do not allow the common UAM to be deployed. This paper studies the overall framework in which the UAM deployment is expected to be implemented.

The purpose of the paper is the identification of the main factors affecting the cost of urban air mobility (UAM) based on results of ASSURED-UAM project. These factors can be found among such cost areas as investments (infrastructure, aircraft), operational, energy, end of life, delay and environmental. Once determined, they can be of great value for all UAM stakeholders, including manufacturers, urban planners and air service providers.

The obtained results were based on the outcomes of ASSURED-UAM project. Having the information about the magnitude of each cost category, we were able to identify the most costly factors of UAM. As a result, it was possible to suggest feasible cost reduction means.

For each cost category, there is the possibility to lower its value among the total cost of UAM. Each cost category has its own cost reduction means. It is vital however that the obtained results depend strongly on the assumptions made at the beginning of cost calculations.

The value of this paper is the identification of key UAM costs reduction means which may be found beneficial for all UAM stakeholders involved in the development of UAM infrastructure and services.

Process of building and then implementation of integrated multimodal, passenger-centred and predominantly sustainable transport system will require a specific effort to be input in preparation, especially if it covers new entrants like passenger Urban Air Mobility. This paper aims to address the first step which is the identification of barriers to be overcome to turn the concept into reality.

Comparison of the current state-of-the-art in transportation, Information and Communication Technologies as well as other city planning domains to the forecasted ecosystem, described in the form of scenarios where base for definition of necessary actions, challenges as well as potential barriers and obstacles were identified and thoroughly specified.

Barriers grouped in five categories: policy, digitalisation, transportation technologies, integration technologies and passengers’ needs allow for formulation of the relevant roadmaps defining optimal development path towards fully integrated multimodal, passenger-centred and sustainable transport system.

Conclusions can be a starting point in studies towards development of roadmap for implementation of truly integrated municipal transport system both sharing the resources as well as high-level objectives.

Conclusions can be exploited in various areas starting from preparation of strategies in cities aspirating to be smart, through definition of technology development priorities by relevant agencies ending with industry actors looking for better trimming their business.

The identified barriers as derived from detailed investigation enable deep insight into the total transport system vision in which Urban Air Mobility integrated within urban mobility ecosystem is considered as game-changing factor having large potential to contribute to both making cities smart and sustainable.

This paper aims to discuss large‐scale operational aspects for network service maps and to present technical solutions and evaluation results.

The paper reviews related work on service discovery specifically for wireless networks and services in, introduces network service maps and their operation in detail and describes their implementation and addresses two specific usage scenarios, based upon which it evaluates its approach through measurements and simulations.

The paper finds that, in the presence of today's ever‐increasing WLAN services, better support for service selection and automated service configuration is an urgent need to enable people to access these new services efficiently and thus increase their value and utilisation further. This is clearly reflected in different solutions being developed by service providers, roaming operators and device manufacturers that aim to facilitate WLAN usage.

The ubiquity of WLAN services, ranging from campus networks to commercial hotspots and community WLAN services, requires a new approach for automatically locating and using services. The paper presents a service selection infrastructure that is independent of a user's current network attachment and location in a way that users can obtain information of a specific network (or any other service) without being required to be connected to a particular one. Information about networks and services are distributed in a way that allows for using this information offline, e.g. when still looking for appropriate network access.

Academic research on customer experience (CX) in the hospitality industry has recently experienced vast growth as managers have increasingly focused on delivering distinctive experiences to their guests. Despite the relevance of this topic, studies conducted in this area within the hotel context are scarce and dispersed. This paper aims to classify the main academic studies and to present a definition of hotel CX, a conceptual model, emerging trends and future research gaps.

A systematic literature review (SLR) was selected as the research methodology. Adapted from preferred reporting items of SLR and meta-analysis statements, this study entailed an in-depth review of 46 articles published in English between 2006 and 2021. The articles were compiled using keyword searches in Scopus and Web of Science.

This study facilitates an understanding of the hotel CX. The conceptual framework derived from the SLR includes the entire set of antecedents, consequences, mediators and moderators of this concept. The results also illustrate the topic’s academic evolution and expose major guidelines that can help determine areas for future research.

This study adds value to the hospitality research literature via SLR. The framework of CX in the hotel industry synthesizes the existing knowledge on this topic and identifies research gaps. The proposed framework allows for the improvement of future hotel CX studies.

Although value co-creation has been widely analyzed in digital contexts and various types of services (tourism, healthcare, etc.), it has received less study in the area of retail distribution. This study proposes that trust in the retailer and perceived support can encourage co-creation behavior on various levels: a basic level related to communication of service errors and a moderate-high level related to participation in service innovation. This study also proposes modeling for two different segments according to the participation in a loyalty program and according to the relationship duration.

A survey (N = 644) was used to test the model in the context of the consumer goods retail industry. Confirmatory factor analysis and multigroup structural equation modeling techniques were used to assess the proposed model.

The results show differences in the formation of co-creation behaviors depending on the customers analyzed. To encourage communication of service errors, customers affiliated to the program and customers with the longest customer-firm relationships must trust the distributor. Perceived support is crucial in encouraging feedback on service errors among non-affiliated and new customers. For promoting service innovation, the most significant antecedent is perceived support, followed by trust, independently of whether or not the customer belongs to the loyalty program. Customers with the longest relationship participate in co-innovation motivated equally by trust and perceived support. Customers with shorter relationship duration only participate in co-innovation if they perceived support.

This study contributes to deepening knowledge of co-creation behavior in the field of retail distribution. To date, research in this context has not considered the existence of various levels of co-creation: the basic level related to feedback on service errors and the moderate/high level related to participation in service co-innovation. Nor have studies tested the influence of trust and perceived support on these co-creation behaviors. Further, this study is the first study to integrate two significant variables that moderate retailers' strategy in the same model: membership in a loyalty program and duration of customer-firm relationship.

This study aims to determine how hotel-generated content (HGC) on official social media accounts influences booking intention by considering the mediating role of three key constructs: user evaluations of the perceived quality of information, engagement and brand attitude.

A total of 834 valid online questionnaires were collected to empirically test the measurement and structural model using a partial least square path modeling approach.

Although HGC does not have a direct effect on booking intention, this construct has a positive influence on both the perceived quality of information and engagement, which in turn positively influence booking intention. In addition, greater engagement generates a positive attitude, which increases booking intention.

This study represents a new step in understanding the influence of HGC on tourist behavior by extending research on guests’ decision-making processes and empirically demonstrating the chain of related influences that begins with HGC to promote booking intention.

本研究旨在通过考虑三个关键结构的中介作用来确定官方社交媒体账户上酒店生成的内容 (HGC) 如何影响预订意愿：用户对信息感知质量的评价、参与度和品牌态度。

共收集了 834 份有效的在线问卷, 以使用偏最小二乘路径建模方法对测量和结构模型进行实证检验。

虽然 HGC 对预订意愿没有直接影响, 但这种结构对信息的感知质量和参与度都有积极影响, 进而对预订意愿产生积极影响。 此外, 更多的参与会产生积极的态度, 从而增加预订意愿。

本研究代表了理解 HGC 对游客行为影响的新步骤, 它扩展了对客人决策过程的研究, 并通过实证证明了从 HGC 开始的相关影响链, 以促进预订意愿。

Remaining useful life (RUL) prediction for power transformer maintenance is a challenging task on heterogeneous data. Monitoring data of power transformers are not always compatible or in an identical format; therefore, RUL predictions traditionally work separately on different data. Moreover, chemical molecules used in RUL prediction can be transformed into each other under different conditions, thus forming a complete graph with uncertain adjacency matrix (UAM). This study aims to find and evaluate a new model to achieve better results of RUL prediction than the other baselines.

In this work, the authors propose a spatiotemporal complete graph convolutional network (STCGCN) for RUL prediction in two branches, in which daily and hourly features are extracted from correlated heterogeneous data separately. This study provides a thorough evaluation of the proposed model on real-world data and compare the proposed model with state-of-the-art RUL prediction models.

By using the multibranch structure and EucCos similarity aggregation, STCGCN was able to capture the dynamic spatiotemporal patterns on a variety of heterogeneous data and obtain more accurate prediction results, compared to other time series prediction methods.

In this work, the authors propose a novel multibranch structure to compute feature maps from two heterogeneous data sources efficiently and a novel similarity aggregation method to compute the spatial UAM within the complete graph. Compared with traditional time series prediction models, the model pays attention to the spatial relationships in time series data.

The purpose of this study is to analyze to what extent the strategic actions implemented by the libraries contribute to the containment of the pandemic caused by COVID-19, without compromising the quality of library services for their learning communities.

The research has a mixed methodology: qualitative and quantitative with a technique of documentary review and statistical analysis of data through FanPage Karma software. The documents are public and are part of the teaching programs of the universities, webinars and courses given through accounts and official sites of the Mexican Federal Government, social networks, as well as groups of experts in national and international librarianship.

The research documents and describes the library services that have emerged in libraries since the quarantine and isolation period established by the Ministry of Public Education. It also shows the strategic actions adopted by universities (their advantages and disadvantages) and the digital competencies of the library professionals to meet the information demands of their communities. Additionally, actions implemented to provide a rapid response are discussed so that they can later be improved to have a comprehensive framework for improving quality in the remote library service.

This research contributes value to the field by critically analyzing libraries’ distance services, their innovations and the necessary professional competences required to achieve the institutional academic goals. Additionally, relevant services in the digital context are described.