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The economic effects of tourism industry during periods of crisis, such as the COVID-19 pandemic, have received significant attention in recent years. The future is likely to pose a range of new challenges and opportunities to sustainable tourism. This paper employs the Markov-switching vector autoregressions (MSVAR) model to investigate the sustainability of tourism's economic effects in Hong Kong, both during periods of crisis and in the absence of crises. The empirical results show that: (1) The MSVAR model is effective in capturing the nonlinear relationship between the economy and tourism and allows for the categorizing of this relationship into four regimes, for example, the "major event crises" regime and the "economic crises" regime; (2) The economic effects of tourism differ noticeably across the four different regimes, and sustainability varies depending on the presence and type of crisis; (3) The Hong Kong economy, and the tourism industry in particular, exhibits high levels of stability and sustainability. In short, economic growth in Hong Kong's tourism industry is capable of rapid recovery following major crisis events, and it has the capacity to rebound quickly into new periods of rapid growth. [ABSTRACT FROM AUTHOR]

The COVID-19 global pandemic continues, and in Hong Kong numerous measures have been put in place to contain the spread of the coronavirus. One of the many facets of life that is being affected is education, with many face-to-face classes suspended and students having to go online for lessons. The virus continues to be active in the city, so our usual way of assisting secondary school students' character-building through visitation to elderly homes is restricted. Now we can only provide such service-learning in online mode. This paper explores how an online project helped adolescents in a boys' secondary school apply and adapt principles taught previously in their course dealing with positive character strengths such as kindness, love, social intelligence, gratitude, teamwork, and perseverance. [ABSTRACT FROM AUTHOR]

Background: Face‐to‐face class suspensions during the coronavirus disease (COVID‐19) pandemic in 2019 increased telepractice in speech and language therapy. However, little is known about speech and language therapists' (SLTs) perceived effectiveness of telepractice and its antecedents. Aims: To examine the use of telepractice and the factors affecting its perceived effectiveness in Hong Kong mainstream schools during COVID‐19. Methods & Procedures: Seventy‐two school‐based Hong Kong SLTs completed a 110‐item online survey with six structural components: (1) concerns, (2) adoption, (3) student selection criteria, (4) perceived effectiveness, (5) continuous professional development and (6) attitudes/beliefs. Outcomes & Results: Over 90% of respondents adopted telepractice during the pandemic. Confirmatory factor analysis identified reliable constructs from their component measures. These participants reported great telepractice difficulties (especially in therapy preparation and managing students' attention and/or communication). Mixed‐response analysis revealed that psychosocial factors (i.e., students' engagement and SLTs' attitudes towards telepractice) but not professional practice skill factors (i.e., student client selection criteria and SLTs' years of experience in school settings) contributed to SLTs' self‐perceived effectiveness of telepractice. Conclusions & Implications: Our findings suggest that psychosocial factors play a more important role than professional practice skill factors in the self‐perceived effectiveness of telepractice. WHAT THIS PAPER ADDS: What is already known on the subject: Previous surveys reported that although SLTs were interested in using telepractice before the COVID‐19 pandemic, they showed concern about its effectiveness, resulting in a low adoption rate. One critical question naturally arises: What factors may affect the perceived effectiveness of telepractice by SLTs? What this paper adds to existing knowledge: This study demonstrates for the first time that despite the high adoption rate of telepractice during the COVID‐19 pandemic, school‐based SLTs exhibited great difficulties, and the SLTs' self‐perceived effectiveness of telepractice was related to psychosocial factors instead of professional practice skill factors. What are the potential or actual clinical implications of this work: Professional support is needed to alter the attitudes of SLTs towards telepractice for enhancing their self‐perceived effectiveness and positive clinical practice experience. [ABSTRACT FROM AUTHOR]

As social inequalities during the COVID-19 pandemic have been recognised, emerging research showed that lesbian, gay and bisexual (LGB) people may be additionally affected during the pandemic. This paper adds to the understanding of the experiences of LGB people during the pandemic with a focus on Hong Kong, where issues of space significantly influence LGB people's lives in this city with high population density. As part of a larger community study of LGB lives in Hong Kong, COVID-19-related impact on 434 Chinese-speaking LGB people was explored. Data collection was conducted from 20 May to 30 June 2020. Inductive thematic analysis of the open-text response survey data found that the LGB participants described both negative and positive impacts brought by COVID-19. Such impacts could be dimensionalised into those related to personal space and privacy, romantic and sexual space, and community space. It was also found that the experiences of COVID-19 among LGB people in Hong Kong were intersectional, along the lines of living arrangement and relationship status. Such findings make unique contributions to the emerging literature. First, there needs to be a more nuanced understanding of sexual minority individuals' experiences during COVID-19 across cultural contexts. Second, COVID-19 was described as having brought positive impact in addition to its widely known negative impact. [ABSTRACT FROM AUTHOR]

The onset of the COVID-19 pandemic has intensified the need for online food delivery services (such as Deliveroo and Foodpanda), creating new job opportunities for South Asian youths. However, outbreaks of infected cases in districts populated by South Asians have spurred 'racist' remarks by customers, perhaps triggered by a flurry of negative mainstream news reports and social media outbursts targeted at South Asians. These behaviours reveal the added precariousness of ethnic minority employment. This paper examines the inter-sectional politics of race and class involved in platformed work, in the case of food delivery services. It discusses how the algorithmically controlled platformed economy may have an impact on racial minority workers. Employing the conceptual framing of 'invisibility', and notions around 'platformed/ gig labour', it argues that neo-liberalised infrastructural capitalism aggravates algorithmic surveillance of racial minority workers. It suggests the possible resilience of racial minority workers in the globally popular business model. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has caused unprecedented disruption to teaching and research in universities. This has prompted the publication of a considerable number of studies, frameworks, and guidelines on teaching adaptations. Less has been written on adaptations to empirical research projects, partly because such projects have been put on hold or redesigned entirely. This paper reflects on adaptations made, challenges encountered, and lessons learned while persisting with a qualitative study involving parents, teachers, tutors, and university academics during the second and third waves of the pandemic in Hong Kong in 2020. Specifically, we reflect on the reconsideration of research design and instruments, negotiation of different kinds of access to research sites and participants, optimization of existing data sources, streamlining of data collection approaches, and consideration of the mental well-being of both researchers and respondents. The paper includes lessons learned from the use of Zoom, WhatsApp Messenger, and phone calls as technological tools, and hashtag search on social media platforms such as Facebook and Instagram. Special consideration is given to the unexpected benefits of doing research during the pandemic and the convenience of using technology and adaptability approach. [ABSTRACT FROM AUTHOR]

To support young children's learning during the coronavirus 2019 (COVID‐19) pandemic, preschool educators in Hong Kong were required to teach with digital technologies. In this study, 1035 educators from 169 preschools reported their views and practices in an online survey, which we examined via multilevel mixed‐response analysis and thematic analysis. More than half of the respondents (53%) expected future online teaching to continue, and only 11% of educators believed that parents would reject this form of delivery. Administrators and teaching assistants were more likely than teachers to expect online preschool teaching to continue in the future. In addition, respondents with existing online platform experience, who taught the upper levels of preschool, or incorporated specific teaching practices (eg, after the online lesson, they assessed children and assigned homework tasks), were more likely than others to expect online teaching in the future. Many of these respondents also reported (a) difficulty with engaging their children when online and (b) inadequate support from parents for learning activities, which reduced the respondents' perceived likelihood of future online teaching. Administrators and teaching assistants were more likely than teachers to believe that parents would accept online teaching in the future. Respondents who felt they had inadequate training to teach online, children in families with inadequate technical skills and parents who believed that online lessons harmed children's well‐being, were less likely than others to believe that parents would accept online teaching in the future. These educators believed that online learning communities could connect parents and schools and foster interaction that could help align with educator's support for children's learning needs. Practitioner notesWhat is already known about technology integration for young children during COVID‐19COVID‐19 led to the closure of many schools, requiring teachers to teach online.Barriers to integrating technologies in preschool settings existed before the pandemic.Online teaching can support students' learning, but few studies have examined technology integration for preschoolers at home during a pandemic.What this paper addsThis paper adds new data on schooling during a pandemic. During the closures, preschool teachers applied two major online teaching approaches: (a) digital content interaction and (b) online human interaction.Technology integration was added to provide evidence of how teachers applied online learning resources for young children during COVID‐19.During closures, teachers often delivered learning resources via digital‐mediated learning platforms, but they were less likely than other educators to expect online teaching in the future.Educators who perceived greater engagement of children or support from parents were more likely to expect online teaching in the future.Implications for practice and/or policyThis study showed that some preschool teachers integrated technology into their teaching during a pandemic, and future studies can explore how to facilitate or extend this integration after the pandemic.This study showed the need for more interactive online teaching preparation to address young children's learning needs.Some teachers were responsive to feedback from children and monitored their learning during the online teaching process. [ABSTRACT FROM AUTHOR]

Covid-19 has wreaked havoc worldwide. To mitigate the spread of the virus, societies around the world implemented various social control measures and restrictions on mobility. Traditional work practices were upended, leading to a widespread adoption of telecommuting in many cities, effectively turning urban spaces into expansive work-from-home laboratories. The exchange of digitized documents, virtual conversations, and online transactions replaced physical movements and face-to-face communication, allowing for the continuation of productive activities. This shift to telecommuting raises important questions about the impact on traditional business practices and power dynamics in the workplace. It also prompts us to examine how new communication and surveillance tools facilitate collaboration and enhance worker productivity. Furthermore, it is essential to understand how employees navigate and adapt to the opportunities and limitations presented in a teleworking environment. To gain insights into these issues, this paper focuses on the experiences of work-from-home employees in the community of Tin Shui Wai in Hong Kong, using the concept of governmobility as an analytical framework. The findings reveal that telecommuting is enabled by innovative social interaction mechanisms, changes in power dynamics, and the implementation of new discourse and surveillance methods, all of which are contingent on specific work and life conditions. The various experiences of telecommuting, such as working in a home office, in virtual workspaces, and using on-body devices, demonstrate adaptable responses to the emerging opportunities and constraints of telecommuting. These experiences illuminate the intricate ways in which work and life intertwine in both physical and temporal dimensions. • Exploring the mechanisms of governmobility in telecommuting during the Covid-19 pandemic. • Theorizing diverse telecommuting practices and experiences. • Discussing the prospects of telecommuting in the post-Covid world. [ABSTRACT FROM AUTHOR]

Hong Kong experienced the SARS pandemic in 2003. Seventeen years later, the Covid-19 pandemic now challenges Hong Kong and the world. This study aims to unveil the impact of the pandemic on health social workers. One hundred and sixty-six health care social workers in Hong Kong were recruited to join a cross-sectional online survey from November 2020 to March 2021. This paper includes the analysis of the demographic information, fear of contamination, resilience, perceived social support and physical health only. Irrespective of the demographic background, the level of fear of contamination, resilience, perceived social support and physical health were similar. The mean scores of the two dimensions of fear of contamination (Harm avoidance: m = 7.49, s.d. = 3.25; Disgust avoidance: m = 7.75, s.d. = 2.90) were higher than those of general public and clinical samples with Obsessive-Compulsive Disorder. No moderation effects were found in resilience and perceived social support in the relationship of fear of contamination and physical health. Instead, direct effects were shown.The impact of the pandemic on health social workers was universal. Psychoeducational programs to alleviate the fear of contamination and organizational-level interventions to improve workplace social support are highly needed. [ABSTRACT FROM AUTHOR]

Background: The new waves of COVID-19 outbreaks caused by the SARS-CoV-2 Omicron variant are developing rapidly and getting out of control around the world, especially in highly populated regions. The healthcare capacity (especially the testing resources, vaccination coverage, and hospital capacity) is becoming extremely insufficient as the demand will far exceed the supply. To address this time-critical issue, we need to answer a key question: How can we effectively infer the daily transmission risks in different districts using machine learning methods and thus lay out the corresponding resource prioritization strategies, so as to alleviate the impact of the Omicron outbreaks? Methods: We propose a computational method for future risk mapping and optimal resource allocation based on the quantitative characterization of spatiotemporal transmission patterns of the Omicron variant. We collect the publicly available data from the official website of the Hong Kong Special Administrative Region (HKSAR) Government and the study period in this paper is from December 27, 2021 to July 17, 2022 (including a period for future prediction). First, we construct the spatiotemporal transmission intensity matrices across different districts based on infection case records. With the constructed cross-district transmission matrices, we forecast the future risks of various locations daily by means of the Gaussian process. Finally, we develop a transmission-guided resource prioritization strategy that enables effective control of Omicron outbreaks under limited capacity. Results: We conduct a comprehensive investigation of risk mapping and resource allocation in Hong Kong, China. The maps of the district-level transmission risks clearly demonstrate the irregular and spatiotemporal varying patterns of the risks, making it difficult for the public health authority to foresee the outbreaks and plan the responses accordingly. With the guidance of the inferred transmission risks, the developed prioritization strategy enables the optimal testing resource allocation for integrative case management (including case detection, quarantine, and further treatment), i.e., with the 300,000 testing capacity per day; it could reduce the infection peak by 87.1% compared with the population-based allocation strategy (case number reduces from 20,860 to 2689) and by 24.2% compared with the case-based strategy (case number reduces from 3547 to 2689), significantly alleviating the burden of the healthcare system. Conclusions: Computationally characterizing spatiotemporal transmission patterns allows for the effective risk mapping and resource prioritization; such adaptive strategies are of critical importance in achieving timely outbreak control under insufficient capacity. The proposed method can help guide public-health responses not only to the Omicron outbreaks but also to the potential future outbreaks caused by other new variants. Moreover, the investigation conducted in Hong Kong, China provides useful suggestions on how to achieve effective disease control with insufficient capacity in other highly populated countries and regions. [ABSTRACT FROM AUTHOR]

Online messaging app Telegram has increased in popularity in recent years surpassing Twitter and Snapchat by the number of active monthly users in late 2020. The messenger has also been crucial to protest movements in several countries in 2019-2020, including Belarus, Russia and Hong Kong. Yet, to date only few studies examined online activities on Telegram and none have analyzed the platform with regard to the protest mobilization. In the present study, we address the existing gap by examining Telegram-based activities related to the 2019 protests in Hong Kong. With this paper we aim to provide an example of methodological tools that can be used to study protest mobilization and coordination on Telegram. We also contribute to the research on computational text analysis in Cantonese—one of the low-resource Asian languages,—as well as to the scholarship on Hong Kong protests and research on social media-based protest mobilization in general. For that, we rely on the data collected through Telegram's API and a combination of network analysis and computational text analysis. We find that the Telegram-based network was cohesive ensuring efficient spread of protest-related information. Content spread through Telegram predominantly concerned discussions of future actions and protest-related on-site information (i.e., police presence in certain areas). We find that the Telegram network was dominated by different actors each month of the observation suggesting the absence of one single leader. Further, traditional protest leaders—those prominent during the 2014 Umbrella Movement,—such as media and civic organisations were less prominent in the network than local communities. Finally, we observe a cooldown in the level of Telegram activity after the enactment of the harsh National Security Law in July 2020. Further investigation is necessary to assess the persistence of this effect in a long-term perspective. [ABSTRACT FROM AUTHOR]

The East Asian experience in tackling COVID-19 has been highly praised, but this high-level generalisation neglects variation in pandemic response measures adopted across countries as well as the socio-political factors that shaped them. This paper compares the early pandemic response in Singapore and Hong Kong, two Asian city-states of similar sizes, a shared history of SARS, and advanced medical systems. Although both were able to contain the virus, they did so using two very different approaches. Drawing upon data from a cross-national, probability sample Internet survey conducted in May 2020 as well as media and mobility data, we argue that the different approaches were the result of the relative strength of civil society vs. the state at the outset of the outbreak. In protest-ridden Hong Kong, low governmental trust bolstered civil society, which focused on self-mobilisation and community mutual-help. In Singapore, a state-led response model that marginalised civil society brought early success but failed to stem an outbreak among its segregated migrant population. Our findings show that an active civil society is pivotal to effective outbreak response and that trust in government may not have been as important as a factor in these contexts. [ABSTRACT FROM AUTHOR]

Rapid design and construction of mobile cabin hospitals (MCHs) have become imperative in the COVID-19 response. However, due to unique design specifications (e.g., parallel design and model pre-revision), collaboration in emergency construction projects (ECPs) like MCHs presents data security vulnerabilities, including a lack of traceability and transparency. These hazards invariably reduce design effectiveness, leading to undesirable rework and project delay. Blockchain technology is a potential solution to address the aforementioned security issues in ECPs because it offers immutable and traceable data storage. Nevertheless, directly implementing blockchain in ECPs is impractical, for the blockchain has a complex deployment process and provides limited functions supporting BIM-based design. Therefore, this paper develops a lightweight blockchain-as-a-service (LBaaS) prototype to enhance the ECPs design efficiency by securing and automating information exchange while eliminating the difficulties of deploying and using blockchain. This paper contributes three elements: (1) Security vulnerabilities of design in ECP are identified. Taking an MCH in Hong Kong as an example, this paper investigates its design process and determines two design characteristics and associated security flaws. (2) Key technologies to support easy deployment and usage of blockchain in ECPs are developed. New technical elements, including a Multi-to-One mapping (MtOM) kit for easy blockchain registration, an integrated workflow retaining existing design practices, and smart contracts for secure interaction with blockchain, are developed to support LBaaS functionality. (3) An LBaaS prototype is validated and evaluated. The prototype is illustrated and evaluated using design examples based on actual MCH project data. Results show that the LBaaS is a feasible and secure approach for ECPs collaboration. This paper deepens the understanding of data security issues in ECPs and offers technical guidance in establishing blockchain solutions. • Identified security vulnerabilities of BIM-based collaboration in emergency construction projects (ECPs). • Exploring the mechanism of integrating ECPs design with a lightweight blockchain-as-a-service (LBaaS). • Developed key technical elements to support functionalities of an LBaaS prototype. • Validated LBaaS prototype via three design examples from an actual mobile cabin hospital project. • Results show that the LBaaS is a practical solution for improving data security and ECP design efficiency. [ABSTRACT FROM AUTHOR]

Traffic congestion has been a persistent problem in cities globally. Theoretically, commuting-related congestion can be relieved by promoting working from home (WFH). Amid the COVID-19 pandemic, WFH arrangement has been encouraged or enforced to reduce the spread of the coronavirus. Under these circumstances, it was reported that traffic congestion has been alleviated in many cities. However, changes in congestion patterns within a city have not been studied in-depth. In this study, we analysed the congestion index (CI) at peak hours, when commuting-related congestion is typically most serious, throughout different waves of the pandemic in Hong Kong. Results show that under WFH arrangement, peak-hour congestion has been alleviated. Within a day, morning peak congestion was more relieved. Spatially, significant drops in CI were found not only in the central business district and urban cores but also in some new town areas. This paper has significant implications for urban planners in creating more sustainable cities that duly consider the commuting needs of residents, and cautions against the optimism that WFH can relieve urban transport problems despite jobs-housing imbalance. While the WFH arrangement has potentials to ease commuting congestion, future e-working and transport measures need to take spatial and temporal dimensions into account. • Spatio-temporal dynamics of urban traffic congestion under COVID-19 were captured. • In Hong Kong, work from home had a bigger impact on morning than evening peak. • Morning peak congestion relief was not only limited to the CBD. • The two commuting peaks were identifiable even during work from home periods. • About 25% of planning units had lower peak-hour congestion under the "new normal". [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic, an exceptional crisis, sparked the introduction of new digital infrastructure to halt the novel coronavirus's spread. This paper explores how such digital infrastructure's impact might reverberate over the long term, by comparing Singapore, Hong Kong, and mainland China's utilization of digital technology in response to the 2003 SARS outbreak, and their responses to the 2020 COVID-19 pandemic. We find that advancements in digital technology since 2003 have boosted governments' surveillance and segregation abilities substantially—most dramatically so in China. Even though some of these new digital interventions are ostensibly designed to be temporary ones to address the needs of the immediate crisis, we argue that the resultant extensions of state power experienced during COVID-19 are likely to have profound long-term effects because they fundamentally affect sociopolitical contexts, institutional capabilities, and digital cultures. We also find that the extent to which governments can extend digital surveillance and segregation abilities during the pandemic is contingent on their respective sociopolitical, institutional, and digital cultural contexts. • COVID-19 pandemic sparked calls for a new digital infrastructure. • We compare 2003 SARS outbreak to COVID-19 pandemic. • New digital technologies increased governments' ability to surveil and segregate. • Their impact on surveillance and segregation will persist post COVID-19. [ABSTRACT FROM AUTHOR]

Is it possible to control the covid-19 pandemic in large cities like Hong Kong? Many cities have adopted various mitigation measures to contain the covid-19 pandemic. But few studies have been made to measure the impact of mitigation measures on infection risk at city level such as Hong Kong. This paper introduced three indicators to measure the infection risk of covid-19 under mitigation measures: the infection rate, the primary risk of infection and daily risk of infection. Two factors are introduced to consider the impact of mitigation measures on infection risk in Hong Kong. They are the number of trips per day and the percentage of people wearing face masks. With these two mitigation measures, the daily risk of infection was reduced from 1826.11 per million to 644.58 per million in the peak of covid-19 infection on 2 August 2020. The covid-19 infection risk would be 2.83 times higher if above mitigation measures were not adopted. The covid-19 pandemic continues in 2021 and city governments are strongly recommended to take effective measures to encourage the public to reduce unnecessary trips and wear face mask before the pandemic is fully controlled. • A measure of daily risk of covid-19 infection is introduced. • It is possible to control the covid-19 pandemic in large cities like Hong Kong. • The peak of infection risk would be 2.83 times higher without mitigation measures in Hong Kong. [ABSTRACT FROM AUTHOR]