Search results

In recent years, railway systems worldwide have faced challenges such as the modernization of engineering projects, efficient management of intelligent digital railway equipment, rapid growth in passenger and freight transport demands, customized transport services and ubiquitous transport safety. The transformation toward intelligent digital transformation in railways has emerged as an effective response to the formidable challenges confronting the railway industry, thereby becoming an inevitable global trend in railway development.

This paper, therefore, conducts a comprehensive analysis of the current state of global railway intelligent digital transformation, focusing on the characteristics and applications of intelligent digital transformation technology. It summarizes and analyzes relevant technologies and applicable scenarios in the realm of railway intelligent digital transformation, theoretically elucidating the development process of global railway intelligent digital transformation and, in practice, providing guidance and empirical examples for railway intelligence and digital transformation.

Digital and intelligent technologies follow a wave-like pattern of continuous iterative evolution, progressing from the early stages, to a period of increasing attention and popularity, then to a phase of declining interest, followed by a resurgence and ultimately reaching a mature stage.

The results offer reference and guidance to fully leverage the opportunities presented by the latest wave of the digitalization revolution, accelerate the overall upgrade of the railway industry and promote global collaborative development in railway intelligent digital transformation.

There has recently been much interest in analysing the creation of personalised tourism services and studying their effect on organisations. However, there still needs to be more work in analysing their effect on happiness and the role that emotions play in these processes. This paper aims to analyse, in the context of personalised and innovative tourism services, which factors can encourage and improve managers' happiness.

A model of analysis is presented with five variables: tourism managers' happiness (TMH), innovative personalised tourism services, internal factors: emotions (IFE), organisational factors (OF) and personal factors (PF). Eight hypotheses are proposed and tested with a structural equation model.

The results allow the authors to affirm that personalised technological advances applied to tourism services not only contribute to improving the happiness of hotel managers but also in generating emotions that contribute to improving their attitude towards the company.

This scientific work has some limitations. Firstly, this study was carried out exclusively in Spain due to the relevance of this country in the international tourism sector, according to the World Tourism Organisation. The results achieved in this research should be contrasted with other studies in other territories. Secondly, the interviews and surveys were carried out at specific time intervals. It has not led to problems of significant bias in the variance of the standard method. Therefore, it is desirable to undertake longitudinal or cross-sectional studies for future research. Thirdly, it is interesting to develop theoretical models that include other psycho-directive or leadership style constructs to determine whether they holistically enhance the subjective well-being of hospitality managers. Moreover, other types of factors of a social or strategic nature can be considered, which can positively or negatively impact the analysed variables. Finally, future research can deepen the empirical analysis of the relationship between managerial competencies and digital innovation from the perspective of happiness management. These findings would contribute to a greater cognitive understanding of the implications of personalised and innovative tourism services on hotel establishments' happiness and economic benefits.

This paper shows the fundamental role of a happy leadership style in creating responsible, green and innovative environments in today's digital society. Furthermore, the happiness of tourism managers can contribute to the generation of high quality and excellent services that are in line with the principles of sustainable development.

Personalised technological advances applied to tourism services not only contribute to improving the happiness of hotel managers but also to generating emotions that contribute to improving their attitude towards the company. On the other hand, it has been observed that personalised and innovative tourism services generate positive effects at organisational, internal and personal levels. The following reflections are advanced: The development of internal factors such as the emotions of awe and gratitude or the generation of trust can enhance the happiness of tourism managers. The happiness of tourism business managers can be enhanced by developing OF such as smart-personalised tourism services and data protection. The happiness of tourism managers can be enhanced by the development of PF such as travellers' desires, expectations and needs, or other factors such as disposable income, health status or family situation.

This is the first empirical study that focuses on investigating how personalised and innovative tourism services affect managing happiness.

We introduce and analyze an innovative transportation system called flexible mobility on demand (FMOD). FMOD provides a menu of optimized travel options in real-time. Practical considerations related to the business model for FMOD are taken into account as a pre-study for the pilot that will be conducted in Japan.

A modeling framework of FMOD is developed that integrates scheduling, routing, assortment optimization, and choice modeling methodologies. An assortment optimization model is developed with an objective function to maximize operator profit and consumer surplus.

The FMOD system is analyzed through simulation experiments in a Japanese case study. Simulations are presented for Hino city in Tokyo with different numbers of vehicles in the fleet. This analysis provides insights about the fleet size necessary to maintain reasonable levels of operator profit and consumer surplus.

We consider a business model for FMOD that offers flexibility to the operator in terms of who provides resources. The resources are managed with dedicated and non-dedicated services. The experiment indicates that operators can determine the size of the dedicated fleet based on an objective function that maximizes operator profit and passenger satisfaction.

Mobile taxi booking apps (MTB) have revolutionalized the transportation industry. As taxis can be hired via smartphones, irrespective of any time or place, the business platform for taxi service has completely changed. Now customers are saved from the hassle of going to the designated taxi stands or waiting along the roadside. But, the long-term sustainability of this service depends on its continued use. Therefore, this study aims to explore factors that hedonically incline people toward continuance of MTB. To achieve the purpose, the unified theory of acceptance and use of technology (UTAUT) was extended with mediation effects of hedonic motivation.

The data were collected from existing users of MTB and analyzed through structural equation modeling and revalidated via artificial neural networks.

The statistical results show that the main factors of UTAUT substantially create hedonic motivation to use the apps and significantly mediate their effects on behavioral intention to continue using MTB. However, mediation between social influence and continuity intent was not statistically supported. The findings represent important contributions to the extended UTAUT.

This study adds value to the theoretical horizon and also presents M-taxi companies with useful and pertinent plans for efficient designing and effective implementation of MTB. Moreover, limitations and suggestions for future researchers are also discussed.

This study extends UTAUT with the mediating role of hedonic motivation to predict continued use of MTB, which further initiates the applicability of UTAUT in a new setting and a new perspective (post adoption). This, in turn, significantly expands theory by using hedonic motivation as an important attribute that could mediate impact of all main antecedents to shape customers loyalty toward system use.

This paper seeks to build a theory of mobile media learning by studying indigenous use of these media and theorizing what impact they might have on learning and education.

Using a critical approach, the paper reviews contemporary developments in mobile media learning particularly those happening outside of schools. It includes reviews of games and/or media, literature (particularly firsthand accounts published by designers and/or users), and analyses of online communities.

Although mobile media learning has mostly been framed as “anytime, anywhere” their more profound impact may be in the experience of place. Mobile media enables a multiplicity and hybridity of place that causes opportunities and challenges to learning and education.

To date, there has been relatively little close study of how youth use such media in educational and learning contexts, and more case studies are needed to understand the impact of mobile media on learning.

Those designing learning environments for a mobile media‐enabled world will need to rethink some basic assumptions about classroom configurations and learning. Rather than designing for large groups, educators might design for students to be in multiple places in time and place.

As handheld computing initiatives continue to proliferate, educators might benefit from taking a step back and reconsidering how mobile media is understood, and this paper argues that looking at mobile media as media with unique affordances makes new kinds of interactions come to light.

This chapter seeks to bring more clarity and urgency to the debate about the impacts of ‘smart’ mobility by highlighting the critical role of the state in managing the transition to a ‘smart’ transport future. This debate is currently dominated by producer-led imaginings of how technological innovation will solve apparent mobility problems, but has yet to address substantively more complex questions about how the impacts of these innovations will disrupt the mobility status quo, and how changing patterns of mobility in a ‘smart’ future will redefine the places in which we live. The chapter explores what impacts such innovations might have on the economic, environmental and social outcomes associated with the mobility system, and some key issues that systems of governance will have to address as ‘smart’ options become an increasingly important part of overall mobility provision.

The purpose of this paper is to describe the benefits of a social prescribing service for older people with sensory impairments experiencing social isolation. The paper draws on the findings from a 12-week programme run by Sense, a voluntary sector organisation, and illustrates how integrated services, combining arts-based participation and voluntary sector support, can create positive health and wellbeing outcomes for older people.

The research took a mixed-methodological approach, conducting and analysing data from interviews and dynamic observation proformas with facilitators and quantitative psychological wellbeing scores with participants throughout the course of the programme. Observations and case study data were also collected to complement and contextualise the data sets.

The research found that participatory arts programmes can help combat social isolation amongst older people with sensory impairments and can offer an important alliance for social care providers who are required to reach more people under increasing pecuniary pressures. The research also highlights other benefits for health and wellbeing in the group including increased self-confidence, new friendships, increased mental wellbeing and reduced social isolation.

The research was based on a sample size of 12 people with sensory impairments and therefore may lack generalisability. However, similar outcomes for people engaging in participatory arts through social prescription are documented elsewhere in the literature.

The paper includes implications for existing health and social care services and argues that delivering more integrated services that combine health and social care pathways with arts provision have the potential to create social and medical health benefits without being care/support resource heavy.

This paper fulfils a need to understand and develop services that are beneficial to older people who become sensory impaired in later life. This cohort is growing and, at present, there are very few services for this community at high risk of social isolation.

Nowadays, more interest is found among the researchers in MANETs in practical and theoretical areas and their performance under various environments. WSNs have begun to combine with the IoT via the sensing capability of Internet-connected devices and the Internet access ability of sensor nodes. It is essential to shelter the network from attacks over the Internet by keeping the secure router.

This paper plans to frame an effective literature review on diverse intrusion detection and prevention systems in Wireless Sensor Networks (WSNs) and Mobile Ad hoc NETworks (MANETs) highly suitable for security in Internet of Things (IoT) applications. The literature review is focused on various types of attacks concentrated in each contribution and the adoption of prevention and mitigation models are observed. In addition, the types of the dataset used, types of attacks concentrated, types of tools used for implementation, and performance measures analyzed in each contribution are analyzed. Finally, an attempt is made to conclude the review with several future research directions in designing and implementing IDS for MANETs that preserve the security aspects of IoT.

It observed the different attack types focused on every contribution and the adoption of prevention and mitigation models. Additionally, the used dataset types, the focused attack types, the tool types used for implementation, and the performance measures were investigated in every contribution.

This paper presents a literature review on diverse contributions of attack detection and prevention, and the stand of different machine learning and deep learning models along with the analysis of types of the dataset used, attacks concentrated, tools used for implementation and performance measures on the network security for IoT applications.