ABSTRACT
In this book, eight substantive chapters examine how "developing” countries such as Bangladesh, Malaysia, and Mexico confronted the pandemic-driven online education shift. As local instruments, resources, and preferences of specific universities meshed with global platforms, ideas, and knowledge, the book addresses several questions. Was the mix too flaky to survive increasing competitiveness? Were countries capable enough to absorb mammoth software technological changes? Throwing a "developed” country (the United States) in for contrast, the book elaborates on the inequities between these countries. Some of these inequalities were economic (infrastructural provisions and accesses), others involved gender (the role of women), political (the difference between public and private universities), social (accessibility across social spectrum), and developmental (urban-rural divides). In doing so, new hypotheses on widening global gaps are highlighted in the book for further investigation. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
ABSTRACT
The COVID-19 pandemic and social distancing restrictions have had a significant impact on urban mobility. As micro mobility offers less contact with other people, docked or dockless e-scooters and bike-sharing have emerged as alternative urban mobility solutions. However, little empirical research has been conducted to investigate how COVID-19 might affect micro mobility usage, especially in a major Asian city. This research aims to study how COVID-19 and other related factors have affected bike-sharing ridership in Seoul, South Korea. Using detailed urban telecommunication data, this study explored the spatial-temporal patterns of a docked bike-sharing system in Seoul. Stepwise negative binomial panel regressions were conducted to find out how COVID-19 and various built environments might affect bike-sharing ridership in the city. Our results showed that open space areas and green infrastructure had statistically significant positive impacts on bike-sharing usage. Compared to registered population factors, real-time telecommunication floating population had a significant positive relationship with both bike trip count and trip duration. The model showed that telecommunication floating population has a significant positive impact on bike-sharing trip counts and trip duration. These findings could offer useful guidelines for emerging shared mobility planning during and after the COVID-19 pandemic.
ABSTRACT
This study aims to analyze the effects of Covid-19 on the floating population of Seoul, based on population influx/outflux data from January-June, 2019 and January- June, 2020. The datasets are partitioned into their respective administrative districts. Moreover, to understand the effects of Covid-19, the PageRank algorithm is employed to analyze and identify the districts with the most population influx as well as the changes in population movement in Seoul between 2019 to 2020.
ABSTRACT
The application of IoT in cities is a critical component in constructing a smart city. Seoul Metropolitan Government began installing IoT sensors known collectively as S-DoT in 2019. S-DoT collects real-time climate and floating population data. This study aims to introduce a smart city planning application in Seoul, to validate the S-DoT application, and to suggest a research framework for using S-DoT data. We analyzed S-DoT collected floating population data to examine travel behavior, volume, and patterns during the COVID-19 pandemic. The result showed that micro-level spatiotemporal analysis was possible using S-DoT data, and we identified different floating population patterns. The panel regression result that explained the effects of urban factors on the floating population revealed that the degree of COVID-19 seems to impact people’s travel behavior significantly. As more S-DoT technologies are planning to be deployed in Seoul, the city will begin to collect more sophisticated real-time data. However, planners and policymakers should be attentive to the issues and limitations of newly installed S-DoT systems and find better strategies to use S-DoT data. © International Journal of Sustainable Building Technology and Urban Development.
ABSTRACT
The Corona Virus Disease 2019 (COVID-19) outbreak caused people to pay significant attention to urban public safety issues. The city's public safety is an important part of the high-quality development and the construction of a liveable city. To understand whether and how factors at different levels affect the public security of particular group of people in a city. This study uses data from an extensive questionnaire survey by the Ministry of Housing and Urban-Rural Development of the People's Republic of China (MOHURD) in 11 cities. This study uses the descriptive statistical method and Hierarchical Linear Model (HLM) to study the perception of urban public safety (PUPS) and its influencing factors of floating population with higher education background (FPHEB) from the three levels of city-district-individual. The study finds that (1) when FPHEB is placed in a district and a city at the same time, the influence of the city on PUPS is greater than that of the district; (2) the urban's infrastructure security and economic development security positively affect the floating population; (3) the GDP and the number of stadiums and hospitals of the district are significantly positively correlated with the PUPS of the FPHEB, whereas the increase of population density and road density have negative effects; (4) FPHEB with distinct attributes will make their PUPS also different. This study is not only a reflection on the construction of urban public security after the COVID-19 outbreak but can also be used as a theoretical reference for the government in constructing urban public security. This study also enriches the research on the floating population and makes good scientific suggestions for the city's PUPS of the FPHEB. The research results can provide a better reference for the government's urban safety construction from the perspective of residents' perception.
Subject(s)
COVID-19 , Pandemics , Safety , Urban Population , Adult , Aged , China/epidemiology , Female , Humans , Male , Middle Aged , Population Dynamics , Young AdultABSTRACT
After the 2019 novel coronavirus (2019-nCoV) outbreak, we estimated the distribution and scale of more than 5 million migrants residing in Wuhan after they returned to their hometown communities in Hubei Province or other provinces at the end of 2019 by using the data from the 2013-2018 China Migrants Dynamic Survey (CMDS). We found that the distribution of Wuhan's migrants is centred in Hubei Province (approximately 75%) at a provincial level, gradually decreasing in the surrounding provinces in layers, with obvious spatial characteristics of circle layers and echelons. The scale of Wuhan's migrants, whose origins in Hubei Province give rise to a gradient reduction from east to west within the province, and account for 66% of Wuhan's total migrants, are from the surrounding prefectural-level cities of Wuhan. The distribution comprises 94 districts and counties in Hubei Province, and the cumulative percentage of the top 30 districts and counties exceeds 80%. Wuhan's migrants have a large proportion of middle-aged and high-risk individuals. Their social characteristics include nuclear family migration (84%), migration with families of 3-4 members (71%), a rural household registration (85%), and working or doing business (84%) as the main reason for migration. Using a quasi-experimental analysis framework, we found that the size of Wuhan's migrants was highly correlated with the daily number of confirmed cases. Furthermore, we compared the epidemic situation in different regions and found that the number of confirmed cases in some provinces and cities in Hubei Province may be underestimated, while the epidemic situation in some regions has increased rapidly. The results are conducive to monitoring the epidemic prevention and control in various regions.