Libraries, laundrettes, and lidos. Pizzerias, plazas, and playgrounds. Sidewalks, swimming pools, and schools. These are just some of the kinds of spaces and facilities that contribute to the public life of cities. Drawing on the arguments of the sociologist Eric Klinenberg, this article develops the concept of “social infrastructure” as a way to research and value these kinds of spaces. Social infrastructure helps in recognising the public dimensions of often overlooked and undervalued spaces. It draws attention to the breadth, depth, and textures of sociality that can be afforded by different urban environments. In developing the concept of social infrastructure, this article pulls together four related strands of social scientific inquiry: work on infrastructure; publicness and public space; sociality and encounter; and the politics of provision. An infrastructural approach to the topic of public space presents geographers with some productive tools for understanding the public life of cities.
Urban Geography studies forms, social fabrics, and economic structures of cities from a geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban Geography seeks new models and research paradigms to explain urban phenomena and address urban issues. Recent years have witnessed significant advances in spatially-explicit geospatial artificial intelligence (GeoAI), which integrates spatial studies and AI, primarily focusing on incorporating spatial thinking and concept into deep learning models for urban studies. This paper provides an overview of techniques and applications of spatially-explicit GeoAI in Urban Geography based on 581 papers identified using a systematic review approach. We examined and screened papers in three scopes of Urban Geography (Urban Dynamics, Social Differentiation of Urban Areas, and Social Sensing) and found that although GeoAI is a trending topic in geography and the applications of deep neural network-based methods are proliferating, the development of spatially-explicit GeoAI models is still at their early phase. We identified three challenges of existing models and advised future research direction towards developing multi-scale explainable spatially-explicit GeoAI. This review paper acquaints beginners with the basics of GeoAI and state-of-the-art and serve as an inspiration to attract more research in exploring the potential of spatially-explicit GeoAI in studying the socio-economic dimension of the city and urban life.
This article focuses on the challenges that uncertainty poses to countries in global and regional value chains. In this perspective, it focuses specifically on African countries and enriches the results with a comparative approach. Indeed, using a gravity model for 49 African countries and all their trading partners from 1990 to 2019, the paper proposes a comparative analysis of the effects of uncertainty on global trade in value chains and on trade in value chains within Africa. The robustness of the results shows that domestic uncertainty can drive the expansion of intra-African trade in value chains, while uncertainty in the partner country hinders the flourishing of trade relationships within a value chain.
Cities. Urban geography, Urbanization. City and country
Abstract Excess commuting, defined as the inefficiency resulting from spatial mismatches between residential and employment locations, poses significant challenges for urban planning and transportation systems. This study uses big data from individual vehicle trips collected in Tampa, Florida, to quantify excess commuting more accurately than traditional zonal approaches. Through the application of Linear Programming (LP) and Integer Linear Programming (ILP) models, this research measures minimum and actual commuting patterns across different spatial scales—census tract, block group, and individual trip levels. The findings reveal a clear scale effect associated with the Modifiable Areal Unit Problem (MAUP), as smaller spatial units consistently yield shorter minimum commuting distances and times and the ILP model at the individual trip level yields the least. By directly analyzing actual trips rather than simulated data, this approach provides a more precise and realistic assessment of excess commuting. The results underscore the values of methodological improvements and individual-level data in refining our understanding of excess commuting and supporting more efficient urban planning and policymaking.
Covid-19 has dramatically changed life in cities across the globe. What remains uncertain is how national policies and appeals to comply with suggested rules translate to changes in the behaviour of citizens in urban areas. This lack of local knowledge leaves urban policy makers and planners with few clues as to the determinants of social resilience in cities during protracted crises like a pandemic. Methods are required to measure the capacity of people to conduct routine activities without risking exposure to a prevalent disease, particularly for those most vulnerable during a health crisis. By spanning the fields of urban resilience, human geography, mobility studies and the behavioural sciences, this study explores how to measure social resilience in cities during a protracted crisis. Using a public participation GIS online platform, we observe changes in citizen behaviour within urban spaces during the Covid-19 pandemic. Inhabitants from three districts of a Dutch city mapped their activity routines during the lockdown period and during the year before the pandemic. Spatio-temporal analysis reveals changes in the clustering of activities into what we describe as ‘activity bubbles'. We reflect on the influence of the urban space on these changes and assess the contribution of this exploratory research methodology for gaining insights into behavioural change. Implications for urban planning and resilience theory are discussed.
Abstract The combination of fingerprint positioning and 5G (the 5th Generation Mobile Communication Technology) offers broader application prospects for indoor positioning technology, but also brings challenges in real-time performance. In this paper, we propose a fingerprint positioning method based on a deep convolutional neural network (DCNN) using a classification approach in a single-base station scenario for massive multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems. We introduce an angle-delay domain fingerprint matrix that simplifies the computation process and increases the location differentiation. The cosine distance is chosen as the fingerprint similarity criterion due to its sensitivity to angular differences. First, the DCNN model is used to determine the sub-area to which the mobile terminal belongs, and then the weighted K-nearest neighbor (WKNN) matching algorithm is used to estimate the position within the sub-area. The positioning performance is simulated in a DeepMIMO indoor environment, showing that the classification DCNN method reduces the positioning time by 77.05% compared to the non-classification method, with only a 1.08% increase in average positioning error.
Sustainable Development Goal 11 (SDG 11) focuses on making cities and human settlements inclusive, safe, resilient, and sustainable. Although the goal primarily addresses urban development, its principles also extend to rural areas, but the extent to which South Africa’s legal and policy frameworks empower traditional authorities to contribute to the development of their communities, particularly towards achieving SDG11, remains insufficiently explored. This study investigates how South Africa’s national legislative frameworks on traditional leadership have been applied to support the advancement of SDG 11. It examines the legal provisions within the 1996 Constitution of the Republic of South Africa, and relevant legislation to determine whether these frameworks provide a strong legal basis for promoting SDG 11 through the empowerment of traditional leadership. This study employs a desktop research methodology involving a comprehensive review of relevant laws, policies, and case law. Secondary data were gathered from case studies, journal articles, books, case laws, and credible internet sources. The findings suggest that the traditional authority system is deeply embedded within the South African Constitution, as well as legislative and policy frameworks, and has been effectively leveraged to advance SDG 11. Key insights emphasise the constitutional and legal recognition of traditional authorities and highlight the enforcement of traditional leadership roles and functions through various legal cases, and SDG 11-aligned programmes in South Africa. The areas where the role and functions of traditional leadership intersect with SDG 11 and rural development include security and safety, community participation, land management and sustainable settlements, cultural heritage and community identity, disaster management, and environmental stewardship. The empowerment of traditional leadership in South Africa has significant implications for achieving SDG 11 and rural development. These implications include enhanced local governance and service delivery, increased accountability and transparency, balanced rural-urban linkages, promotion of environmental stewardship, and the fostering of inclusive development. It also strengthens rural resilience, preserves cultural heritage, promotes sustainable resource management, and improves community engagement. However, challenges related to power dynamics, equity, and the need for policy integration and cohesion must be addressed to ensure that traditional leadership empowerment contributes effectively to sustainable development in South Africa.
Cities. Urban geography, Urban groups. The city. Urban sociology
Cecília Laís Santana da Silva, José Eloízio da Costa
A pecuária leiteira é tradição no semiárido sergipano devido à sua relevância histórica e econômica como fonte de renda e de sobrevivência. Nesse sentido, Poço Redondo é hoje o município que mais produz leite em Sergipe, o que indica um processo de reorganização da bacia leiteira do Alto Sertão. Para entender em qual contexto surge este aumento produtivo, o artigo propõe analisar a inserção do pequeno produtor na cadeia produtiva do leite do povoado Santa Rosa do Ermírio face à subordinação e à assimetria. Portanto, como decurso do método e da análise qualitativa e quantitativa, as nuances da produção leiteira da “terra do leite” podem ser compreendidas como parte de uma macroestrutura do sistema econômico político e em sua relação com Poço Redondo e Sergipe.
The introduction of information and communication technology (ICT) has altered the way society operates things. ICT is used in various sectors, including agriculture. It can be used in the agricultural sector to distribute pricing and encourage agricultural commodity exports. The study aims to investigate the effect of ICT on cashew nut export in Benin using an autoregressive distributed lag (ARDL) approach. Data were collected over the period of 31 years (1990–2020) in Benin. The estimated results showed that mobile cellular telephone subscription is negatively and significantly correlated with cashew nut export in the short-run. However, in the long-run, it exhibits a positive and significant correlation. On the other hand, internet usage had no significant effect on cashew nut export in the short-run, but negatively influenced cashew nut export in the long-run. These results suggest that to increase its cashew nut export, the Beninese government should invest in technological infrastructure to improve internet access by reducing the cost of internet and increasing education that will allow farmers to better understand and use ICT.
Cities. Urban geography, Urbanization. City and country
Federico Cugurullo, R. Acheampong, Ivana Dusparic
et al.
ABSTRACT Autonomous cars controlled by an artificial intelligence are increasingly being integrated in the transport portfolio of cities, with strong repercussions for the design and sustainability of the built environment. This paper sheds light on the urban transition to autonomous transport, in a threefold manner. First, we advance a theoretical framework to understand the diffusion of autonomous cars in cities, on the basis of three interconnected factors: social attitudes, technological innovation and urban politics. Second, we draw upon an in-depth survey conducted in Dublin (1,233 respondents), to provide empirical evidence of (a) the public interest in autonomous cars and the intention to use them once available, (b) the fears and concerns that individuals have regarding autonomous vehicles and (c) how people intend to employ this new form of transport. Third, we use the empirics generated via the survey as a stepping stone to discuss possible urban futures, focusing on the changes in urban design and sustainability that the transition to autonomous transport is likely to trigger. Interpreting the data through the lens of smart and neoliberal urbanism, we picture a complex urban geography characterized by shared and private autonomous vehicles, human drivers and artificial intelligences overlapping and competing for urban spaces.
Abstract The bath industry has multiple attributes, such as economic, health, and cultural communication. Therefore, exploring this industry's spatial pattern evolution is crucial to forming a healthy and balanced development model. Based on POI (Points of Interest) and population migration data, this paper uses spatial statistics and radial basis function neural network to explore the spatial pattern evolution and influencing factors of the bath industry in mainland China. The results show that: (1) The bath industry presents a strong development pattern in the north, south-northeast, and east-northwest regions and weak development in the rest of the country. As a result, the spatial development of new bath space is more malleable. (2) The input of bathing culture has a guiding role in developing the bath industry. The growth of market demand and related industries has a specific influence on the development of the bath industry. (3) Improving the bath industry's adaptability, integration, and service level are feasible to ensure healthy and balanced development. (4) Bathhouses should improve their service system and risk management control during the pandemic.
ABSTRACT This research investigates the economic geography of urban technology, or ‘urban tech’, start-up enterprises. Comprised of ride-hailing, co-living, co-working, smart cities and other urban-oriented activities, urban tech is a suite of innovations that enable and are premised upon growing urbanization. We investigate where urban tech comes from by analysing Pitchbook, a database of venture capital deals, to chart the evolution and geography of urban tech start-up firms. We show urban tech firms to be highly clustered in two kinds of places: specialized tech hubs such as the San Francisco Bay Area and large cities such as New York, London and Beijing. Furthermore, we find that urban tech geography is associated with two classes of factors: the scale of existing tech activity, and the size and extent of metro areas. Together these findings suggest that the geography of urban tech is shaped by the innovative capabilities of urban areas and, to a lesser extent, by urbanization itself. Urban tech investment is less common in areas associated with ‘Industry 4.0’ industrial policy.
Abstract The p-center location problem in an area is an important yet very difficult problem in location science. The objective is to determine the location of p hubs within a service area so that the distance from any point in the area to its nearest hub is as small as possible. While effective heuristic methods exist for finding good feasible solutions, research work that probes the lower bound of the problem’s objective value is still limited. This paper presents an iterative solution framework along with two optimization-based heuristics for computing and improving the lower bound, which is at the core of the problem’s difficulty. One method obtains the lower bound via solving the discrete version of the Euclidean p-center problem, and the other via solving a relatively easier clustering problem. Both methods have been validated in various test cases, and their performances can serve as a benchmark for future methodological improvements.
School segregation and residential segregation are generally highly correlated. Cities in the Netherlands are considered to be moderately segregated residentially, while the educational landscape is choice-based but publicly funded. This article analyses how school and residential segregation are interrelated in the educational landscape of Dutch cities. Drawing on individual register data about all primary school pupils in the 10 largest cities, it demonstrates that segregation by ethnicity and social class is generally high, but that the patterns differ strongly between cities. By hypothetically allocating children to the nearest schools, this article demonstrates that even in a highly choice-based school context school segregation is to a large extent the effect of residential patterns. The role of residential trends, notably gentrification, is therefore crucial for understanding the differences in current trends of school segregation across Dutch urban contexts.
Apreendemos a metropolização do espaço enquanto processo socioespacial biopolítico. A partir da análise das remoções ocorridas no Morro da Providência-RJ, no âmbito da Operação Urbana Consorciada da Região Portuária do Rio de Janeiro e do Programa Morar Carioca, objetivamos analisar a espacialidade biopolítica na metrópole contemporânea. Após relacionar o processo de metropolização às relações de poder que inscrevem a biopolítica no espaço, buscamos um diálogo entre Michel Foucault e Henri Lefebvre, em torno dos conceitos de “meio” e “espaço instrumental”. Propomos a tríade analítica inscrição-prescrição-ordenação para examinar os projetos e intervenções urbanas que promovem o “estranhamento espacialmente construído” e a “desumanização espacialmente forjada”, processos espaciais que esvaziam a substância política que constitui o ser social.
Historia y Memoria en piedra y bronce. El Monumento a la Bandera en la ciudad de Rosario.
Gimenez, Carlos Gustavo, Navarro, Ángel y Van Deurs, Adriana. Buenos Aires, Argentina: Diseño, 2015, 188 páginas.
The setting of farmland prices in the market not only reflects existing agricultural activities but also expected potential for development. This study decomposes farmland prices into values representative of current agricultural production and the prospective development potential at the county level in South Korea. The income value of farmland is derived by analysing agricultural revenue and production cost, and the sale value of farmland is estimated by reviewing transaction prices filed with the administrative authority. The difference between income value and sale value is adopted as the development value in this study. The results of the estimation show that the proportion of development value in the price of farmland is remarkably high, with a median proportion of 0.78, indicating that the threat of converting land to non-agricultural use is non-trivial because it remains a financially attractive alternative. In addition, the magnitude of the portion of the development value in the price of farmland varies considerably across counties depending on the distance to nearby metropolitan cities. This implies that agricultural policy should be designed in a locally optimised manner to effectively restrain the conversion of farmland for urban use.
ABSTRACT Urban geography has increasingly considered southern cities as important locations from which to develop urban theory. We build this wider movement and recent scholarship to continue opening urban geography to southern cities, scholars and ideas generated from the south. Here, we draw on the experiences of mentoring and being students from the global south. We think through the strategic importance of the south as a term and a political alliance, as well as some limitations of doing so; we hope for a future in which the term is needed less. We then think through the role of critical analysis and particularly socio-political scholarship and make observations about the difficulties of doing such work in southern contexts. We strive to create and contribute to an urban geography that rigorously develops ideas from anywhere and is mindful of the ongoing significance of the politics of knowledge in and outside the academy.