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The purpose of this paper is to reveal the knowledge evolution process, research hotspots and future trends in the accessible tourism research literature from 2008 to 2020.

A total of 213 articles on accessible tourism were selected from the core collection database of Web of Science (WoS) and analyzed using CiteSpace.

Over the 13-year period between 2008 and 2020, an increasing number of studies have been published concerning accessible tourism, but the overall base is still small. The research content mainly includes six modules. Among institutions, the University of Technology Sydney has published the largest number of papers. Cooperation among countries involves the USA, the United Kingdom, Australia, Portugal and China. Tourism Management is the leading journal for disseminating research on accessible tourism. Definition of “Accessible tourism” and the different scope of this phenomenon are re-discussed. In recent years, “experience” and “participation” have become the “new favorites” in accessible tourism research, which could reveal insights into future research directions.

The sampling frame was defined in terms of the WoS database and even though this is an important database for global academic information, in the big data era, the authors may have to integrate information from multiple sources to comprehensively reveal and understand knowledge maps. Second, because of the operational constraints of the CiteSpace software, the authors only selected outputs published in peer-reviewed journals, excluding other published works, such as books and conference papers. Finally, because of the language restrictions of the authors, this research is limited to journals published in the English language.

Practically, the results of this study made a conclusion of accessible tourism research so that the researchers can easily know what has currently been done and what future research can do. Tourism managers can also understand the demands and the constraints of tourism for the people who have barriers to travel. They can supply more specific products for the accessible tourism and further promote the construction of barrier-free travel environments.

This paper unifies the literature on senior tourism and people with disabilities tourism, and uses CiteSpace to construct data and network visualizations, including a burst and dynamic analysis for the period covered by the sample. Furthermore, this paper proposed a more diversified accessible tourism.

无障碍旅游：文献计量学研究综述 (2008-2020)

此篇论文目的是通过对2008年到2020年间无障碍旅游研究文献进行科学计量和可视化分析, 展示该领域的知识演变进程、研究热点和未来趋势。

从Web of Science核心合集数据库中经过多次筛选, 挑选出213篇文章, 并利用CiteSpace进行分析。

13年来无障碍旅游的研究文献数量总体呈上升趋势, 但总体基数仍然不大, 研究内容主要包含六个模块。机构中悉尼科技大学的发文量最多。国家间的合作以美国、英国、澳大利亚、葡萄牙和中国为基础。主要发行期刊是Tourism Management。本文还对无障碍旅游的定义和内涵重新进行了思考和讨论。近年来“体验”和“参与”成为了无障碍旅游研究中的“新宠”, 揭示出未来的研究方向。

此篇论文将老年旅游和残障旅游统一起来, 并利用CiteSpace做出清晰的数据和网络展示, 包含了过去13年的突发性和动态性分析。并且, 本文提出了更为广泛和多元的无障碍旅游。

无障碍旅游; 残障旅游; 老年旅游; 文献综述; CiteSpace

文章类型： 研究综述

Turismo accesible: una revisión bibliométrica (2008–2020)

El objetivo de este trabajo es revelar el proceso evolutivo del conocimiento, los puntos críticos de la investigación y las futuras tendencias de la literatura de investigación del turismo accesible del 2008 a 2020.

De la base de datos central de la red científica, se seleccionaron 213 artículos sobre turismo accesible y se analizaron utilizando citespace.

En los 13 años transcurridos entre 2008 y 2020 se han realizado cada vez más publicaciones relacionadas con el turismo accesible, pero la base general sigue siendo pequeña. Las investigaciones incluyen principalmente seis módulos. Entre los institutos, la Universidad Tecnológica de Sídney a publicado el mayor número de investigaciones. La cooperación entre los países incluye a los Estados Unidos, Reino Unido, Australia, Portugal y China. La “Tourism Management” es la principal revista de investigación sobre el turismo accesible. Este artículo rediscute la definición de “turismo accesible” y el diferente alcance de este fenómeno. En los últimos años, la “experiencia” y la “participación” se han convertido en el “nuevo favorito” de las investigaciones sobre el turismo accesible, lo que podría revelar perspectivas con relación a la dirección de futuras investigaciones.

Esta investigación combina la literatura relacionada con el turismo adulto mayor y personas con discapacidad, utiliza citespace para construir los datos y la visualización de la red, incluyendo un análisis dinámico y de ráfagas para el período cubierto por la muestra. Además, este documento propone un turismo accesible más diversificado.

Turismo accesible, Personas con discapacidad, Adulto mayor, Bibliometría, CiteSpace

RevisiÓn de la literatura

Safety training can effectively facilitate workers’ safety awareness and prevent injuries and fatalities on construction sites. Traditional training methods are time-consuming, low participation, and less interaction, which is not suitable for students who are born in Generation Z (Gen Z) and expect to be positively engaged in the learning process. With the characteristic of immersive, interaction, and imagination, virtual reality (VR) has become a promising training method. The purpose of this study is to explore Gen Z students’ learning differences under VR and traditional conditions and determine whether VR technology is more suitable for Gen Z students.

This paper designed a comparison experiment that includes three training conditions: VR-based, classroom lecturing, and on-site practice. 32 sophomore students were divided into four groups and received different training methods. The eye movement data and hazard-identification index (HII) scores from four groups were collected to measure their hazard-identification ability. The differences between the participants before and after the test were tested by paired sample t-test, and the differences between the groups after the test were analyzed by one-way Welch’s analysis of variance (ANOVA) test.

The statistical findings showed that participants under VR technology condition spent less time finding and arriving at the Areas of Interest (AOIs). Both the eye movement data and HII scores indicated that VR-based safety training is an alternative approach for Gen Z students to traditional safety training methods.

These findings contribute to the theoretical implications by proving the applicability of VR technology to Gen Z students and empirical implications by guiding colleges and universities to design attractive safety training lessons.

The prevention through design (PtD) concept has been widely recognized as one of the most effective approaches to eliminate or reduce construction site hazards. It encourages engineers and architects to consider occupational safety and health during the planning and design phases. Nevertheless, the implementation of PtD is often inhibited because designers lack adequate knowledge about construction safety and the construction process, and limited design-for-safety tools and procedures are available for designers to use. The purpose of this paper is to provide designers a tool for assessing construction risks during early phases of multistory building projects at an activity level and on a daily basis in a 4D environment. By using the tool, proactive measures could be taken in the design and planning phase to reduce site hazards.

The proposed method consists of four steps including risk quantification at a design element level, 4D model integration with risk values, risk assessment, and design alternative selection and model acceptance. A case study was carried out to test and verify the proposed method.

The proposed tool has the capability to assess the safety risk for an entire multistory project and visualize safety risk in a particular time period, work space and task prior to construction. It benefits designers in conducting risk assessments and selecting design alternatives concerning safety. Contractors could also utilize the visualization and simulation results of the 4D model for site safety planning so that a range of risk mitigation strategies could be implemented during construction.

The study provides an innovative PtD tool targeting designers as primary end-users. The proposed tool helps designers assess construction risks and has potential to incorporate the top levels of the hierarchy of risk controls.

The financial sector’s growing interest in leveraging artificial intelligence (AI) for forecasting has been noted in recent years. In this chapter, we delve into the application of AI in financial forecasting within Indonesia’s stock market. Our primary focus is to assess how AI’s prediction potential can impact investors and financial regulators in this context. Our review spans existing literature on AI and financial forecasting, recent developments in the Indonesian stock market, and ethical and regulatory concerns that surround AI in finance. Our analysis indicates that AI can enhance forecast accuracy in Indonesia’s stock exchange; however, we must also consider limitations and challenges.

This paper aims to propose a learning exponential jerk trajectory planning to suppress the residual vibrations of industrial robots.

Based on finite impulse response filter technology, a step signal with a proper amplitude first passes through two linear filters and then performs exponential filter shaping to obtain an exponential jerk trajectory and cancel oscillation modal. An iterative learning strategy designed by gradient descent principle is used to adjust the parameters of exponential filter online and achieve the maximum vibration suppression effect.

By building a SCARA robot experiment platform, a series of contrast experiments are conducted. The results show that the proposed method can effectively suppress residual vibration compared to zero vibration shaper and zero vibration and derivative shaper.

The idea of the adopted iterative leaning strategy is simple and reduces the computing power of the controller. A cheap acceleration sensor is available because it just needs to measure vibration energy to feedback. Therefore, the proposed method can be applied to production practice.

The purpose of this paper is to present a novel numerical approach to analyze the static performance of aerostatic thrust bearings by adopting a general finite element method calculation program.

The characteristics of a gas film are described by the Reynolds equation and the pressure distribution is solved using the finite element method. A root iterative method is proposed to meet the requirement of the mass-conservation law because multiple pocketed orifice-type restrictors are treated as a series of special boundary conditions.

The static performance of a rotary table using aerostatic thrust bearings, including load carrying capacity and stiffness, can be predicted by the method; moreover, it can be further confirmed through experiments on the designed rotary table.

The method combining the finite element and root iterative methods is highly accurate and has a low time-cost for analyzing aerostatic thrust bearings with multiple pocketed orifice-type restrictors.

In this study, the authors sought to investigate how the implicit social ties of both project owners and potential backers are associated with crowdfunding project success.

Drawing on social ties theory and factors that affect crowdfunding success, in this research, the authors developed a model to study how project owners' and potential backers' implicit social ties are associated with crowdfunding projects' degrees of success. The proposed model was empirically tested with crowdfunding data collected from Kickstarter and social media data collected from Twitter. The authors performed the test using an ordinary least squares (OLS) regression model with fixed effects.

The authors found that project owners' implicit social ties (specifically, their social media activities, degree centrality and betweenness centrality) are significantly and positively associated with crowdfunding projects' degrees of success. Meanwhile, potential project backers' implicit social ties (their social media activities and degree centrality) are negatively associated with crowdfunding projects' degrees of success. The authors also found that project size moderates the effects of project owners' social media activities on projects' degrees of success.

This work contributes to the literature on crowdfunding by investigating how the implicit social ties of both potential backers and project owners on social media are associated with crowdfunding project success. This study extends the previous research on social ties' roles in explaining crowdfunding project success by including implicit social ties, while the literature explored only explicit social ties.

As to different angles of attack and nonlinear problems caused by high temperatures in coexisting hypersonic aircraft, people mainly rely on fluid software for research but lack analysis of flow mechanisms. Owing to computational difficulties, few people use numerical algorithms to combine them for discussion. Hence, this study aims to make a deep inquiry into the laminar flow and heat transfer of compressible Newtonian fluid in hypersonic aircraft with small attack angles.

In this paper, on the basis of mass, momentum and energy conservation laws, the governing equations of the hypersonic boundary layer are established. Viscosity, specific heat capacity and thermal conductivity are considered nonlinear functions concerning temperature. In virtue of the MacCormack finite difference method, the stationary numerical solutions are solved directly, and the validity of the algorithm is verified.

The results demonstrate that at Mach number 5, compared to the 0° attack angle, the maximum temperature near-wall at the 3° attack angle increases by about 25%. An enjoyable phenomenon is discovered, where the position corresponding to the maximum wall shear force shifts back as the attack angle and Mach number increase. The relationship between the near-wall maximum temperature versus attack angle and Mach number is fitted through numerical calculation results.

Empirical formulas can be used to estimate heat transfer characteristics at small attack angles, which will guide the design of aircraft thermal protection systems.

The victim’s rights movement and restorative justice (RJ) have gained momentum around the world. More laws and policies have focused on crime victims and their families. Western literature suggests that the victim’s family suffers physical, emotional, and financial tolls and that the power of the victim’s family in pursuing justice for their loved ones remains limited. This is particularly concerning within the political and legal context of the abolitionist movement, innocence project, and human rights groups’ campaigns against police torture. Grounded in the perspectives of RJ and Chinese legal culture, this study examines the victim’s family, represented by Ding and senior Yu, of the Nian Bin capital murder case. Drawing on published reports and using the thematic content analysis method, this study examines the following aspects of victim’s family in a death penalty case: 1) victim family’s physical, emotional, and financial tolls; 2) victims’ family and the criminal justice system; 3) victims’ family and the media; and 4) the relationship between the victims’ and the accused’s families. This study concludes with discussions of the competing goals of families impacted by a crime and RJ practices that would help mitigate the loss of the victim’s family and enhance their confidence in the criminal justice system.

Examining research topics in a specific area such as accounting is important to both novice and veteran researchers. The present study aims to identify the research topics in the area of accounting and to investigate the research trends by finding hot and cold topics from all those identified ones in the field.

A new dependency-based method focusing on noun phrases, which efficiently extracts research topics from a large set of library data, was proposed. An AR(1) autoregressive model was used to identify topics that have received significantly more or less attention from the researchers. The data used in the study included a total of 4,182 abstracts published in six leading (or premier) accounting journals from 2000 to May 2019.

The study identified 48 important research topics across the examined period as well as eight hot topics and one cold topic from the 48 topics.

The research topics identified based on the dependency-based method are similar to those found with the technique of latent Dirichlet allocation latent Dirichlet allocation (LDA) topic modelling. In addition, the method seems highly efficient, and the results are easier to interpret. Last, the research topics and trends found in the study provide reference to the researchers in the area of accounting.