ABSTRACT
The COVID-19 pandemic and consequent health regulations compelled office-based knowledge workers to work from home (WFH) en masse. Government and employer directives to WFH disrupted common norms of commuting to city office spaces and reshaped the geographies of office-based knowledge work, with potentially lasting implications. Pandemic-induced cohabitation of work-space and home-space saw more workers navigating the performance of paid labour in the home to produce new relational geographies of home, work, and worker. This paper provides a window on the lived experiences of the sizeable cohort of office-based knowledge workers displaced from Sydney's CBD to undertake WFH in the Illawarra region during the pandemic. We explore the unfolding pandemic geographies of work and home by drawing together feminist economic geography and geographies of home literatures. Our analysis reveals the emergent and variegated time-spaces of WFH that emerged as the rhythms and routines of WFH shaped the home and vice versa. The analysis also reveals the differentiated agency of embodied workers to orchestrate emergent configurations of WFH, shaped by gender and by the socio-materialities of home shaped by size, tenure, and life-cycle stage. We conclude by drawing out important lines of analysis for further research as "hybrid work" evidently becomes entrenched post-COVID.
ABSTRACT
This paper presents a new method to quantify the potential user time savings if the urban bus is given preferential treatment, changing from mixed traffic to an exclusive bus lane, using a big data approach. The main advantage of the proposal is the use of the high amount of information that is automatically collected by sensors and management systems in many different situations with a high degree of spatial and temporal detail. These data allow ready adjustment of calculations to the specific reality measured in each case. In this way, we propose a novel methodology of general application to estimate the potential passenger savings instead of using simulation or analytical methods already present in the literature. For that purpose, in the first place, a travel time prediction model per vehicle trip has been developed. It has been calibrated and validated with a historical series of observations in real-world situations. This model is based on multiple linear regression. The estimated bus delay is obtained by comparing the estimated bus travel time with the bus travel time under free-flow conditions. Finally, estimated bus passenger time savings would be obtained if an exclusive bus lane had been implemented. An estimation of the passenger's route in each vehicle trip is considered to avoid average value simplifications in this calculation. A case study is conducted in A Coruña, Spain, to prove the methodology's applicability. The results showed that 18.7% of the analyzed bus trips underwent a delay exceeding 3 min in a 2,448 m long corridor, and more than 33,000 h per year could have been saved with an exclusive bus lane. Understanding the impact of different factors on transit and the benefits of a priority bus system on passengers can help city councils and transit agencies to know which investments to prioritize given their limited budget.
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While COVID-19 had many negatives it also brought with it many opportunities for growth and increased incomes by young farmers who managed to capitalize on supply chain disruptions to take a significant local market share. Data analysis showed that youth with better developmental relationships with parents, peers, and other adults had higher post-program levels of internal socialemotional strengths (e.g., commitment to learning, positive identity). The article examined how the developmental relationships of African youth participants in a youth economic development program helped them to build skills that could potentially improve their socioeconomic conditions.
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Ethiopian immigrants in South Africa are increasingly occupying informal trading space in townships, rural areas and in select central business districts across the country. This article documents the experiences of Ethiopian migrants in the informal sector in South Africa. Theoretically, the article rests on the concept of everyday life. It draws on data from interviews, focus group discussions and observations carried out between October 2020 and September 2021. This signals a period in which everyone was challenged by COVID-19, especially migrants, which compounded the hierarchies of marginality in which Ethiopian migrants in South Africa are situated. Coupled with this, Ethiopian migrants face two broad levels of marginality: firstly, marginality from state policies and the communities in which they reside and work;and secondly, marginality from gendered and class-based inequalities within the Ethiopian community. The structural and hegemonic barriers range from lack of documentation to regularize residency status and business respectively, extortion by gangs in the name of "protection fee,” exploitation by local level state/community structures and women restricted to female roles. By the same token, we see the creativity and ingenuity of this community, that focuses on their personhood, to make sense of their lives and create conditions to live meaningful lives. This article explores some of the core contestations emerging out of these twin marginalities the ways in which Ethiopian migrants structure their lives and livelihoods in South Africa.
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The COVID-19 pandemic had significant impact on water utilities, which had to continue providing clean water under safe-distancing measures. Water use patterns were affected, shifting peak demand and changing volumes, though changes varied from place to place. This study analyses the effects of the safe-distancing measures on water use patterns in different countries and cities with the aim of drawing general conclusions on causes and impacts of changes in water use patterns, as well as providing some insights on the impacts on finances of utilities and potential long-term implications. The analysis is based on information collected by the members of the IWA Specialist Group on Statistics and Economics for Belgium, Cyprus, Germany, Japan, Switzerland, Portugal, Romania, the Netherlands and Singapore. Temporal, spatial/sectoral and volume changes can be distinguished. The main temporal change in domestic water use was a delay in the morning peak, while commercial water use patterns changed significantly. In general, the volume of domestic water use increased between about 3% and 8%, while non-domestic water use decreased between about 2% and 11% over 2020. Indirect evidence suggests shifts have taken place between sectors and spatially. The impact on finances of utilities has likely been only short-term.
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[...]it also assumes importance in public health and within public health regarding organization and policy efforts pertaining to the prevention and treatment of alcohol and substance use. [...]it becomes imperative to reify this heuristic in definitive terms by future researchers in social work, public health, and substance use. [...]Ubuntu, from a social work perspective, talks about structural societal changes that are difficult to come by and take a long lead time. [...]it has some of the tenets that it shares with community-based participatory research (CBPR) and therefore it also shares some of the limitations of that approach.
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In this essay, we explore the institutional embeddedness of the Sydney nonprofit sector via its changing relations with the state, market, and civil society. We explore the historical development of these relations and how these durable relations have shifted in recent years, putting pressures on the sector. The federal government’s effort to constrain advocacy practices has resulted in a tense relationship between the sector and the state. The push to introduce market mechanisms to generate resources for the sector and the rise of impact investing have pushed nonprofit organizations to explore financial innovations and into the now locally labeled “social economy.” These developments directly impinge on how nonprofits perform their roles by circumscribing the scope for advocacy and by putting nonprofits on a different path for financial sustainability. Compounding these shifts are the COVID-19 pandemic and the sector’s relationship with civil society. The pandemic underscored the importance of the work carried out by nonprofits and saw a resurgence in the sector’s relationship to civil society, while revealing the sector’s chronic fragility. By examining the institutional embeddedness of the nonprofit sector in this way, we provide a common framework for understanding a local nonprofit sector in the context of global changes, fostering future comparative work.
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Nature-based solutions (NBS) are recognised as a means to address challenges such as heatwaves, flooding and biodiversity loss. Delivering these benefits at scale will require large areas of scarce urban land to be converted into green space. Here we show an approach by which cities can make substantial progress towards their sustainability targets using NBS, by converting redundant street parking into biodiverse green space. We demonstrate that up to half of street parking in our case study municipality (The City of Melbourne) could be accommodated in garages within 200 m, freeing up large areas for greening. Our modelling projects significant benefits in terms of tree canopy over, stormwater and ecological connectivity. These would represent strong progress towards a number of the city’s ambitious NBS targets. As many cities allocate extensive areas to both street parking and off-street garages, this approach to freeing up space for nature in cities is widely applicable.
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The rapid growth of home-based work raises questions about its long-term impacts on neighbourhoods and cities. By removing the need to commute, home-based work has the potential to advance the New Urbanism aspirations of walkable neighbourhoods in an urban village format where people live, work and play. Nonetheless, the uneven distribution of this emerging work practice, strongly associated with the socio-economic status of neighbourhoods, is exacerbating the risk of increased urban inequalities. This paper presents pre- and post-COVID data for the City of Gold Coast, Australia, and it discusses the urban distribution of home-based work by analysing the home-based workers' locational preferences, their daily movement patterns, the preferred built environment outcomes, and the urban design features. The findings suggest that certain social and economic interactions tend to increase with the growth of remote work. These interactions, magnified by the COVID pandemic, offer opportunities to advance the New Urbanism aspirations of cohesive, walkable communities and neighbourhoods.
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Confronted with the spatial heterogeneity of the real estate market, some traditional research has utilized geographically weighted regression (GWR) to estimate house prices. However, its predictive power still has some room to improve, and its kernel function is limited in some simple forms. Therefore, we propose a novel house price valuation model, which is combined with geographically neural network weighted regression (GNNWR) to improve the accuracy of real estate appraisal with the help of neural networks. Based on the Shenzhen house price dataset, this work conspicuously captures the variable spatial regression relationships at different regions of different variables, which GWR has difficulty realizing. Moreover, we focus on the performance of GNNWR, verify its robustness and superiority, and refine the experiment process with 10-fold cross-validation. In contrast with the ordinary least squares (OLS) model, our model achieves an improvement of about 50% on most of the metrics. Compared with the best GWR model, our thorough experiments reveal that our model improves the mean absolute error (MAE) by 13.5% and attains a decrease of the mean absolute percentage error (MAPE) by 13.0% in the evaluation on the validation dataset. It is a practical and powerful way to assess house prices, and we believe our model could be applied to other valuation problems concerning geographical data to promote the prediction accuracy of socioeconomic phenomena.
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Along the coast of Peru, intensive urbanization and tourism development were related to coastal scenery deterioration. This investigation carried out a scenery evaluation of 20 urban beaches from the “Circuito de Playas de la Costa Verde” (CPCV), a key beach corridor in Lima (Peru). For this purpose, the Coastal Scenic Evaluation System (CSES) was applied in three different seasons, using fuzzy logic to reduce observer subjectivity and estimate the Evaluation index (D). A total of 26 parameters were evaluated to estimate the D value during summer 2020, winter 2020, and summer 2021, to determine the temporal variability of the landscape of an urban coastal sector, such as the CPCV. The results show that all evaluated beaches are classified as very unattractive sites (Class V). Additionally, no significant differences were found between seasons but between beaches. Litter and disturbance factors (noise) were the main human parameters that had low and variable scores during assessments and influenced the D index value estimate. This scenery assessment proposes further implementations of new beach management strategies and actions focusing on landscaping and conserving coastal ecosystems. Strengthening monitoring to reduce noise and litter disturbance and promoting environmentally friendly coastal usage are vital aspects that must be implemented.
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Background: Strategic planning assists organisations to capitalise on opportunities that arise and to minimise the threats posed by unstable market environments. Apart from the track record of poor performance amongst some small, medium and micro-scale enterprises (SMMEs) in South Africa, COVID-19 pandemic severely affected more than 55 000 South African SMMEs in March 2020 after the lockdown imposed by the government. Aim: This research study sought to investigate strategic planning techniques or tools implemented by SMMEs post-COVID-19 lockdown in Johannesburg Central Business District (CBD). Setting: The study was conducted at small, medium and micro-enterprises in Johannesburg Central Business District. Methods: A quantitative study was conducted by using an online E-Survey Hero which was distributed to the sample of 169 respondents who were SMME owners and managers in Johannesburg CBD. Results: The results revealed that most SMMEs owners had knowledge on the strategic planning techniques such as the strengths, weaknesses, opportunities and threats (SWOT) analysis, the political, economic, social and technological (PEST) analysis, financial analysis of the competitors and financial analysis of their own business. Conclusion: Small, medium and micro-scale enterprises should take advantage of technology and invest in key skills needed for more effective strategic planning.
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This manuscript evaluates fake news receptivity among Zimbabwean citizens. It argues that the Mnangagwa regime has utilized fake news via traditional and online digital platforms with the purpose of destroying the political opposition and vindicating the state's role in corruption and human rights abuses since 2017. The study's findings were collected from a sample of 100 respondents from both the incumbent Mnangagwa regime and political opposition stalwarts. The research concluded that the state-sponsored fake news campaign has, to a larger extent, failed to appeal to the wider Zimbabwean population except for a small segment made up of ruling party loyalists profiting from the status quo.
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Big data analytics can be used by smart cities to improve their citizens’ liveability, health, and wellbeing. Social surveys and also social media can be employed to engage with their communities, and these can require sophisticated analysis techniques. This research was focused on carrying out a sentiment analysis from social surveys. Data analysis techniques using RStudio and Python were applied to several open-source datasets, which included the 2018 Social Indicators Survey dataset published by the City of Melbourne (CoM) and the Casey Next short survey 2016 dataset published by the City of Casey (CoC). The qualitative nature of the CoC dataset responses could produce rich insights using sentiment analysis, unlike the quantitative CoM dataset. RStudio analysis created word cloud visualizations and bar charts for sentiment values. These were then used to inform social media analysis via the Twitter application programming interface. The R codes were all integrated within a Shiny application to create a set of user-friendly interactive web apps that generate sentiment analysis both from the historic survey data and more immediately from the Twitter feeds. The web apps were embedded within a website that provides a customisable solution to estimate sentiment for key issues. Global sentiment was also compared between the social media approach and the 2016 survey dataset analysis and showed some correlation, although there are caveats on the use of social media for sentiment analysis. Further refinement of the methodology is required to improve the social media app and to calibrate it against analysis of recent survey data.
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Moving around the city is a problem for the development of most megacities. Due to digital technologies, each city dweller is connected by information and communication channels with the city infrastructure, receiving information and choosing the available modes of movement. Shared micromobility in terms of digital solutions is a convenient service, while reducing congestion and emissions, and preventing air and noise pollution;however, the physical and social dimension of the city is experiencing problems, with growing public health concerns, high overall environmental costs, clutter in the streets, etc. This presentation presents a case study of the relatively recent emergence of shared micromobility in St. Petersburg and attitudes towards its users. In addition to the direct process of use and the experience gained, the factors that determine the social influence and perception of micromobility are highlighted. The highest ratings of the digital component and the rather high importance of such factors as environmental friendliness and safety make it possible to recommend the creation of an interactive digital system that unites riders.
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Confronted with rapid urbanization, population growth, traffic congestion, and climate change, there is growing interest in creating cities that support active transport modes including walking, cycling, or public transport. The ‘30 minute city’, where employment is accessible within 30 min by active transport, is being pursued in some cities to reduce congestion and foster local living. This paper examines the spatial relationship between employment, the skills of residents, and transport opportunities, to answer three questions about Australia’s 21 largest cities: (1) What percentage of workers currently commute to their workplace within 30 min? (2) If workers were to shift to an active transport mode, what percent could reach their current workplace within 30 min? and (3) If it were possible to relocate workers closer to their employment or relocate employment closer to their home, what percentage could reach work within 30 min by each mode? Active transport usage in Australia is low, with public transport, walking, and cycling making up 16.8%, 2.8%, and 1.1% respectively of workers’ commutes. Cycling was found to have the most potential for achieving the 30 min city, with an estimated 29.5% of workers able to reach their current workplace were they to shift to cycling. This increased to 69.1% if workers were also willing and able to find a similar job closer to home, potentially reducing commuting by private motor vehicle from 79.3% to 30.9%.
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: Obsolescence and vacancy are part of the traditional building life cycle, as tenants leave properties and move to new ones. Flux, a period of uncertainty before the establishment of new direction, can be considered part of building DNA. What is new, due to structural disruptions in the way we work, is the rate and regularity of flux, reflected in obsolescence, vacancy, and impermanent use. Covid-19 has instantly accelerated this disruption. Retail failure has increased with even more consumers moving online. While employees have been working from home, rendering the traditional office building in the central business district, at least temporarily, obsolete. This article reflects on the situation by reporting findings from an 18-month research project into the practice of planning adaptation in the English built environment. Original findings based on interviews with a national sample of local authority planners, combined with an institutional analysis of planning practice since the 1947 Town and Country Planning Act, suggest that the discipline of planning in England is struggling with the reality of flux. There is a demand for planning to act faster, due to the speed of change in the built environment, and liberal political concerns with planning regulation. This is reflected in relaxations to permitted development rules and building use categories. However, participants also indicate that there is a concurrent need for the planning system to operate in a more measured way, to plan the nuanced complexity of a built environment no longer striated by singular use categories at the local level. This notion of flux suggests a process of perpetual change, turbulence, and volatility. However, our findings suggest that within this process, there is a temporal dialectic between an accelerating rate of change in the built environment and a concomitant need to plan in a careful way to accommodate adaptation. We situate these findings in a novel reading of the complex adaptive systems literature, arguing that planning practice needs to embrace uncertainty, rather than eradicate it, in order to enable built environment adaptation. These findings are significant because they offer a framework for understanding how successful building adaptation can be enabled in England, moving beyond the negativity associated with the adaptation of buildings in recent years. This is achieved by recognizing the complex interactions involved in the adaptation process between respective stakeholders and offering an insight into how respective scales of planning governance can coexist successfully.
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The world is changing under the pressure of environmental and health crises, and in this context, location choice and political choice become of even more poignant importance. Following a Culture-Based Development (CBD) stand, our paper highlights the link between political voting and the cultural and ecological valuation of a place. We start from the premise that the individual utility functions of the urban inhabitant and the urban voter coincide, since they both express the citizen’s satisfaction with the life in a place. We suggest that the unified citizen’s utility function is driven by a trade-off between the availability of virtual and physical spaces for interaction. We expect that this trade-off can lead to dissatisfaction with the place and consequent political discontent if the incumbents’ access to green areas and artistic environment in a place is simultaneously hampered for a long time. Our operational hypothesis is that the political sensitivity of citizens is related to the local availability of green areas (geographies of flowers) and cultural capital endowments (geographies of flower power). Using individual-level data from the WVS from the period close before the pandemic—2017–2020, we test empirically this hypothesis. We use as an outcome of interest the individual propensity to active political behaviour. We explain this propensity through the geographies of flowers (i.e., green areas) and geographies of flower power (i.e., cultural and creative industries). We compare the effects for urban and for rural areas. We find strong dependence of politically proactive behaviour on the geographies of flowers and geographies of flower power, with explicit prominence in urban areas. We find a more pronounced effect of these two geographies on the utility function of incumbent than migrant residents. We also crosscheck empirically the relationship of this CBD mechanism on an aggregate level, using data from the Cultural and Creative Cities Monitor. The findings confirm the Schelling magnifying effect of micro preferences on a macro level.
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Rural depopulation is a worldwide fact and has a domino effect on medium and small cities, which act as a nucleus of reference for small towns. Moreover, the United Nations (UN) stressed that disparities between rural and urban areas are pronounced and still growing over time. Globally, people in rural areas lack access to modern energy services, which affects productivity, educational and health services, exacerbating poverty, among other things. Given this reality, the following research questions arise: how can we act to reverse this reality? Are there examples of transformation in rural contexts where community empowerment is a key strategy? This paper aims at describing the transformation process of a small rural municipality towards a sustainable development, in parallel to the activation of the local productivity that helps to eliminate the effects of rural depopulation. Therefore, the project ALMIA was established as an example of a sustainable village that is Almatret (Catalonia-Spain). The backbone of such project is the commitment to community empowerment, where the main results are the generation of networks with experts and researchers to help the municipality’s energy transition, the involvement of the local administration, the commitment to technological development, as well as the socio-community development. Moreover, the activities developed within the project ALMIA are aligned with the UNs Sustainable Development Goals, alignment that is analyzed in detail. Thus, this paper aims to further highlight existing sustainable development practices related to community empowerment in order to promote similar practices.