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This paper aims to improve a sentiment analysis (SA) system to help users (i.e. customers or hotel managers) understand hotel evaluations. There are three main purposes in this paper: designing an unsupervised method for extracting online Chinese features and opinion pairs, distinguishing different intensities of polarity in opinion words and examining the changes in polarity in the time series.

In this paper, a review analysis system is proposed to automatically capture feature opinions experienced by other tourists presented in the review documents. In the system, a feature-level SA is designed to determine the polarity of these features. Moreover, an unsupervised method using a part-of-speech pattern clarification query and multi-lexicons SA to summarize all Chinese reviews is adopted.

The authors expect this method to help travellers search for what they want and make decisions more efficiently. The experimental results show the F-measure of the proposed method to be 0.628. It thus outperforms the methods used in previous studies.

The study is useful for travellers who want to quickly retrieve and summarize helpful information from the pool of messy hotel reviews. Meanwhile, the system will assist hotel managers to comprehensively understand service qualities with which guests are satisfied or dissatisfied.

In recent years, a new type of double-layered containment structure of nuclear power plant has been built in China, named ACP1000 NNP. This paper aims to propose a new method to mitigate the seismic responses of this type of the structure.

The new base isolation structure (BIS)- tuned mass damper (TMD) structure was proposed and implemented only by modifying the connection between various components of NPPs, and the application of this concept design in ACP1000 was skillfully realized.

The new structure adopts the combination of structural form and function, adopts appropriate amplification of the seismic response of the secondary component, possesses advantages in explicit damping mechanism, good damping effect, robustness of seismic structures, simple implementation process, etc., and meets the special seismic safety requirements of the NPPs.

This seismic and hazard mitigation and BIS-TMD structure can avoid the risk of ACP1000 accidents caused by horizontal earthquakes.

This study aims to improve the robot’s performance during interactions with human and uncertain environments.

A joint stiffness model was established according to the molecular current method and the virtual displacement method. The position and stiffness coordination controller and fuzzy adaptive controller of variable stiffness joint are designed, and the principle prototype of variable stiffness joint is built. The position step and trajectory tracking performance of the variable stiffness joint are verified through experiments.

Experimental test shows that the joint stiffness can be quickly adjusted. The accuracy of position and trajectory tracking of the joint increases with higher stiffness and decreases with increasing frequency. The fuzzy adaptive controller performed better than the position and stiffness coordination controller in controlling the position step and trajectory tracking of the variable stiffness joint.

A hybrid flux adjustment mechanism is proposed for the components of variable stiffness robot joints, which reduces the mass of the output end of variable stiffness joints and the speed of joint stiffness adjustment. Aiming at the change of system controller performance caused by the change of joint stiffness, a fuzzy adaptive controller is proposed to improve the position step and trajectory tracking characteristics of variable stiffness joints.

This chapter focuses on how to leverage public transport infrastructure to produce walk-friendly environments, positioning public transport as a walk-enhancing mode. What are the steps that public transport operators can take to create walk-friendly environments? Do more comfortable waiting conditions result in stronger loyalty from the existing customer base and stronger buyout from new customers? This novel approach stemmed from a partnership with the public transport operator Transdev on a real-life experiment in Grenoble to provide a more comfortable walking and resting experience for public transport users. Named Carrefour de Mobilité (‘the crossroads of mobility’), the experiment prototyped urban design interventions to enhance the access and waiting experience of users engaged in mixed-mode commuting. An ex ante/ex post evaluation was deployed to ascertain whether walk-friendlier environments encourage a more intensive use of public space and easier shifting between public transport modes. The findings show that when users perceive dedicated infrastructure as walk-friendly, they consider it more visible and more attractive, and find it comfortable enough to spend longer waiting times there. The evaluation would have benefited from an extension of the perimeter covered by the sensor technology measuring system which was not feasible because of budget constraints. The experiment reached out beyond the initial target public and captured children and older women as well, providing an amenity which was lacking for these groups and resulting in a livelier and more diverse environment for everyone. This lean and low-cost experiment shows that activating public space near public transport hubs enhances their attractiveness in the eyes of the public transport users.

The authors consider a variety of cryptocurrency and equity risk factors as potential forces that drive cryptocurrency returns and carry risk premiums. In a cross-section of 2,000 biggest cryptocurrencies during 2014–2020, only downside market risk, cryptocurrency size and cryptocurrency policy uncertainty factors are systematically priced with significant premiums. Cryptocurrencies, which have greater exposures to these factors, yield higher returns subsequently. Equity market risk, particularly equity downside market risk, appears to be more important than cryptocurrency market risk, suggesting greater linkages between cryptocurrency and equity markets than we used to think. Global and the US equity factors are more relevant for the cryptocurrency market than local factors from other markets. However, there is no evidence that exposure to momentum, volatility and Fama–French factors is compensated by higher returns.

This paper attempts to explore the interrelationships between the split-share structure reform and privatization processes in light of the interplay between the listing announcements of the non-traditional shares of the Chinese firms within the steel industry and market reaction to these listed shares, as well as to analyze the value gained by the firms due to the privatization processes.

The paper examines market reaction to the listing announcements of non-traditional shares as traditional shares by employing event-study methodology. To determine the success of privatization process and value creation to the firm, the paper utilizes multivariate analysis.

The exogenous factors emphasized in a topographical order, explicitly profitability, efficiency, and leverage, are related to the privatization processes and split-share structure reform that impact the market. The study supports that market reacts positively to the listing announcements of non-traditional shares. Being listed improves value to the firm.

The limitation of this study is the lack of data on country, industry, and firm factors; and this study merely relates to one specific industry and one country.

The paper fills a gap in the literature by articulating the impact of privatization and split-share structure reform on both market reaction and firm value. It focuses on the impact of a dynamic process rather than the impact of a static constituent on market reaction and firm value, as the previous studies have been concentrating on. The research shows that there is an accelerated privatization process of state-owned firms in Chinese steel industry and their integration in capital markets.

The impact of COVID-19 has led to a surge in the public’s reliance on the Internet for pandemic information, and the policy of home isolation has exacerbated this. This study aimed to investigate public information needs and ways of accessing and disseminating information during COVID-19 in mainland China.

This study used a qualitative research approach to conduct semi-structured interviews with 15 participants from 9 cities in mainland China about information needs and access behaviors during the COVID-19 outbreak. All interview recordings were converted into text and proofread, then coded and summarised in correspondence with the research questions using the grounded theory.

This study summarized the dynamics of public information needs during the 2.5-year pandemic and identified the difficulties in accessing certain information.

Although information needs of public health emergencies have been a hot topic during COVID-19, scant studies focus on information needs in specific countries in Asia, especially in mainland China, the first country with a major outbreak and stringent lockdown mandates. Therefore, the current study is well enriched by focusing on information demand behavior in the context of COVID-19. Possible measures for improvement were also given to existing and potential problems, taking into account the participants’ views.