Hasil untuk "City population. Including children in cities, immigration"

Izabela Grabowska

Abstract This article—part of the Special Issue on “(In)tangible Remittances and Inequalities”—investigates the acquisition of social remittances by Ukrainian female war migrants in Poland. It focuses on how these women leverage various resources—human, psychological, social, and economic—to potentially contribute to Ukraine’s development during the ongoing conflict with Russia since February 2022 and in the eventual post-conflict period. This wave of Ukrainian war migration is notably rich in resources, particularly in terms of higher education, providing a basis for the formulation of this study. The research is framed within the concept of intangible remittances and incorporates the cumulative advantage effect, which suggests that individuals with more initial intangible resources are more likely to gain additional advantages, thereby enhancing their ability to generate intangible remittances. The study combines quantitative data from a novel survey with an anonymous feedback for participants measuring the level of their resources, conducted via the My Migration Dashboard ( https://mymigration.academy/ ) of 344 Ukrainian female war migrants, with qualitative follow-up insights from 20 in-depth interviews with female participants with higher education. Key quantitative findings reveal that although education and other intangible assets such as soft and cognitive skills, resilience and social networks contribute to cumulative advantage, two unique predictors stand out: civic engagement, which opens up further opportunities for education and training, and autonomous reflexivity which facilitates independent decisions. Key qualitative findings reveal that Ukrainian female war migrants intend to apply the following in Ukraine: educational practices, professional development, life-long learning approach, work ethics, mental health support and social inclusivity. They do not intent to remit to Ukraine a ‘colonial mindset’.

Naiara Rodríguez-Peña

Abstract The complexity and abstract nature of capabilities may explain why research on migration aspirations is far more prevalent than studies on migration capabilities, and why clear conceptualizations and operationalizations of migration capabilities remain lacking. This article provides a first global estimation of migration capabilities, discusses challenges of measuring capabilities at the macro-level and proposes directions for future research. To achieve this, it focuses on four key forms of capital at the aggregate level: economic, social, human and citizenship capital. By integrating these dimensions, the article presents three scenarios with different distributions of migration capabilities and shows that a calculation centered on economic resources and citizenship capital best explains patterns of involuntary immobility. Furthermore, the article discusses the importance of further exploring migration capabilities for both research and policy and identifies three directions for future research. First, expanding data sources and calculations to identify regions where freedom of movement is most restricted and its implications for human development. Second, examining the capability to stay and exploring how different forms of immobility interact with local development. Finally, broadening the understanding of migration capabilities beyond formal migration barriers to uncover commonalities in emigration dynamics and immobility experiences across countries.

Aysan Mokhtarimousavi, Michael Kleiss, Mostafa Alani et al.

This paper presents a study of computation and morphology of Louis Kahn City Tower project. The City Tower is an unbuilt design by Louis I. Kahn and Anne Tyng that integrates form and structure using 3D space triangular geometries. Although never built, the City Tower geometrical framework anticipated later developments in design of space-frame structures. Initially envisioned in the 1950s, the City Tower project is a skyscraper structure based on a tetrahedral and octahedral space frame called Octet-Truss. The aim of this study is to analyze the geometry of the City Tower structure and how it can be used to develop modular and adaptable architectural forms. The study is based on an analytical shape grammar that is used to recreate the original structure, and later to generate new structural configurations based on the City Tower's morphology. This study also investigates the potential applications of these findings in architecture and reveals the possibilities of using tetrahedrons and octahedrons as fundamental geometries for creating scalable and modular designs and presents initial findings.

Magdalena Muszyńska-Spielauer, Tim Riffe, Martin Spielauer

Health expectancy (HE), commonly derived from cross-sectional prevalence data using the Sullivan method, serves as the most frequently used summary measure of population health. Like lifespan distribution statistics, which are often discussed alongside life expectancy (LE) in demographic studies, analogous statistics on healthy lifespans can provide valuable information on population health. We examine whether healthy lifespan distribution statistics beyond HE can be estimated based on cross-sectional prevalence data and the life table, the data inputs of the Sullivan method. To do so, we treat the Sullivan method as an extension of the stationary population model to health and distinguish between health conditions with and without recovery from the state of decreased health. Our empirical demonstration is based on the prevalence of chronic diseases in selected European countries in 2017 from the Survey of Health, Ageing and Retirement in Europe (SHARE), as well as on life tables from EUROSTAT. We find that the Sullivan method, when considered as an extension of the stationary population model to health, allows for the estimation of a healthy survival distribution and its statistics, beyond HE, for health characteristics with no recovery from the state of decreased health. We show that for such health conditions, the method requires that the number of persons in full health in a stationary population does not increase with age. We argue that for such health dimensions, HE conditional on being in good health at the life table radix age is of relevance for health policy interventions. In our empirical application, we show that the conditional and unconditional measures of HE can give substantially different pictures of population health. Furthermore, we show that across European countries, in contrast to the negative relationship between LE and lifespan inequality, higher HE is associated with greater inequality in healthy years lived when conditional on being healthy at age 50. Overall, the Sullivan method, when considered as an extension of the stationary population model, proves to be a valuable tool for deriving summary statistics of population health beyond HE, which are highly relevant to public policy. * This article belongs to a special issue on “Levels and Trends of Health Expectancy: Understanding its Measurement and Estimation Sensitivity”.

Marta Jaroszewicz, Mateusz Krępa, Marta Pachocka

Abstract The existing literature points to securitisation as a dominant form of emergency governance emerging in response to the COVID-19 pandemic, also in relation to migration. However, another important way of framing migration during the pandemic is in terms of economisation. This article aims to analyse the rationale underpinning Polish immigration policy during COVID-19 with a focus on different forms of economisation: macro-economisation, which prioritises economic growth over other socially important issues; and substantive economisation, which centres the needs of a population during a given historical moment. Based on desk and qualitative research, including analysis of official documents and media coverage as well as in-depth expert interviews, we argue that the logics of both kinds of economisation can be discerned in Poland’s immigration policy. Our overall conclusion is that during the COVID-19 pandemic, and despite strong anti-immigrant rhetoric in official political discourse, Poland’s immigration policy prioritised the interests of the national economy and labour market over strategies of security and social control.

Zhengyang Lu, Feng Wang

Super-resolution techniques are crucial in improving image granularity, particularly in complex urban scenes, where preserving geometric structures is vital for data-informed cultural heritage applications. In this paper, we propose a city scene super-resolution method via geometric error minimization. The geometric-consistent mechanism leverages the Hough Transform to extract regular geometric features in city scenes, enabling the computation of geometric errors between low-resolution and high-resolution images. By minimizing mixed mean square error and geometric align error during the super-resolution process, the proposed method efficiently restores details and geometric regularities. Extensive validations on the SET14, BSD300, Cityscapes and GSV-Cities datasets demonstrate that the proposed method outperforms existing state-of-the-art methods, especially in urban scenes.

Fuqiang Zhao, Yijing Guo, Siyuan Yang et al.

High-quality 3D urban reconstruction is essential for applications in urban planning, navigation, and AR/VR. However, capturing detailed ground-level data across cities is both labor-intensive and raises significant privacy concerns related to sensitive information, such as vehicle plates, faces, and other personal identifiers. To address these challenges, we propose AerialGo, a novel framework that generates realistic walking-through city views from aerial images, leveraging multi-view diffusion models to achieve scalable, photorealistic urban reconstructions without direct ground-level data collection. By conditioning ground-view synthesis on accessible aerial data, AerialGo bypasses the privacy risks inherent in ground-level imagery. To support the model training, we introduce AerialGo dataset, a large-scale dataset containing diverse aerial and ground-view images, paired with camera and depth information, designed to support generative urban reconstruction. Experiments show that AerialGo significantly enhances ground-level realism and structural coherence, providing a privacy-conscious, scalable solution for city-scale 3D modeling.

Bastien Legay, Matthieu Latapy

We consider the following problem : we have a high-resolution street network of a given city, and low-resolution measurements of traffic within this city. We want to associate to each measurement the set of streets corresponding to the observed traffic. To do so, we take benefit of specific properties of these data to match measured links to links in the street network. We propose several success criteria for the obtained matching. They show that the matching algorithm generally performs very well, and they give complementary ways to detect data discrepancies that makes any matching highly dubious.

Silke K. Kaiser, Nadja Klein, Lynn H. Kaack

Shifting to cycling in urban areas reduces greenhouse gas emissions and improves public health. Street-level bicycle volume information would aid cities in planning targeted infrastructure improvements to encourage cycling and provide civil society with evidence to advocate for cyclists' needs. Yet, the data currently available to cities and citizens often only comes from sparsely located counting stations. This paper extrapolates bicycle volume beyond these few locations to estimate bicycle volume for the entire city of Berlin. We predict daily and average annual daily street-level bicycle volumes using machine-learning techniques and various public data sources. These include app-based crowdsourced data, infrastructure, bike-sharing, motorized traffic, socioeconomic indicators, weather, and holiday data. Our analysis reveals that the best-performing model is XGBoost, and crowdsourced cycling and infrastructure data are most important for the prediction. We further simulate how collecting short-term counts at predicted locations improves performance. By providing ten days of such sample counts for each predicted location to the model, we are able to halve the error and greatly reduce the variability in performance among predicted locations.

Siti Ratnawati, Irmawati, Luthfatul Laeli Nur’Afita et al.

The symptoms of radicalism continue to grow not only in adolescents and adults but also in early childhood. The polemic of early childhood radicalization can also be seen in kindergartens. Radicalism can be prevented by implementing religious moderation from an early age. This study aims to analyze the cultivation of religious moderation in early childhood to prevent radicalism. The research method used is quantitative descriptive research. This research was conducted in kindergarten institutions in the Pangkah sub-district, Tegal Regency, Central Java. The subject of this research used 25 kindergartens in the Pangkah sub-district consisting of 1018 students. Data collection techniques used observation, interviews, and documentation. The analysis technique was a descriptive qualitative analysis of the cultivation of religious moderation in early childhood to prevent radicalism. The results showed an increase in the cultivation of religious moderation is the cultivation of religious moderation in all kindergartens in the Pangkah Subdistrict, emphasizes cognitive elements that strongly support the cultivation of religious moderation through Bloom’s Taxonomy theory, which is instilled through the attitude of understanding of global diversity, ideals of homeland, tolerance, and anti-violence in schools in the era of society 5.0. Culturing religious moderation to prevent radicalism in early childhood in Pangkah District Kindergarten was successfully carried out with an average success indicator of 89.83%. This research contributes to supporting the government, especially the Ministry of Education, in implementing the independent curriculum and the P5 project.

David De Coninck, Giacomo Solano

Abstract Migrants’ integration process and their labour market inclusion occur within distinct local contexts. However, the existing literature has paid little attention to the role of the local context and its relationship with national-level policy outcomes on migrant integration. This study addresses this gap by using new regional (NUTS-2) data from Eurostat and integration policy data from MIPEX, coupled with multivariate analyses. We investigate how national-level integration policies are related to the employment rate gap between migrants and country nationals, and how this relationship varies depending on the local context. Results show that migrant integration policies exhibit no association with this gap in low-competitive, culturally homogeneous and rural regions. Conversely, integration policies are associated with a larger gap in high-competitive and diverse urban regions. Notably, consistent with previous national-level literature, inclusive integration policies are associated with negative outcomes for migrants compared to country nationals. However, a shift toward more inclusive policies is found to reduce this gap, suggesting that inclusive policies may be a response to a widening divide between country nationals and migrants. This study offers valuable insights into the role of regional configurations and the impact of national-level integration policies on migrants' labor market outcomes, providing a local perspective that enhances our understanding of migrant integration processes.

Aprillia Dian Rahayu, Zaka Hadikusuma Ramadan, Cahniyo Wijaya Kuswanto

The problem with this research is that many students still need help understanding citizenship education and Pancasila learning. Many students need to be more active and able to think critically so they are less involved in learning interactions. This research aims to increase students' interest in learning about citizenship and Pancasila through problem-based learning methods. This research is experimental, with 32 grade 5 elementary school students as research subjects. Data collection tools use questionnaires and student learning outcomes. Data analysis used the t-distribution test. The research results showed an average increase of 28.12 points after the intervention or post-test. The data testing results answer the previously proposed hypothesis using the t distribution test with the core t count > t table (13.528 > 2.040), meaning Ho is rejected. These findings indicate that using problem-based learning methods increases students' interest and active learning in citizenship and Pancasila education subjects. This research contributes to solving the interest in studying citizenship and Pancasila education in elementary school education units, which were previously considered boring. Future research can test this in secondary education units.

Minkun Kim

In this article, we explore two effective means to communicate the concept of walkability - 1) visualization, and 2) descriptive statistics. We introduce the concept of walkability as measuring the quality of an urban space based on the distance needed to walk from that space to a range of different social, environmental, and economic amenities. We use Dublin city as a worked example and explore quantification and visualization of walkability of various areas of the city. We utilize the Google Map API and Tableau to visualize the less walkable areas across Dublin city and using WLS regression, we assess the effects of unwalkability on house prices in Dublin, thus quantifying the importance of walkable areas from an economic perspective.

Michael Batty, Richard Milton

Ever faster computers are enabling us to extend our standard land use transportation interaction (LUTI) models to systems of cities within which individual cities compete for resources within the wider environment in which they interact.As we scale up in this way, we are able to simulate and measure the impacts of large-scale infrastructures at different spatial levels.Here we build a platform, which is essentially a digital twin, for over 8000 urban places in Great Britain where we can rapidly model all flows between these locations using multi-modal spatial interaction models.We first present the structure of the model and then apply it to population, employment and trip flow data for three modes of travel (road, bus and rail) between small spatial units defining the three countries, England, Scotland and Wales.We then tune and train the model to reproduce a baseline, and follow this with a demonstration of the web-based interface used to run and interact with the model and its predictions.Once we have developed the platform, we are able to explore variants of the twin, partitioning the country in different ways, showing how different forms of spatial representation change the performance of the model.We are developing the model at a much finer scale making comparisons of performance while adding an active travel layer that elaborates the twin.We finally illustrate how the model can be used to measure the impacts of new scenarios for rail, simulating the Integrated Rail Plan and the High Speed 2 proposal

Alexandra-Andreea Ciritel

There is limited understanding of how the aspects of sex and relationship quality are related to decisions on whether to move in together, separate or continue dating among living-apart together (LAT) couples. This paper focuses on sexual and relationship satisfaction in understanding LAT relationship transitions into coresidence or separation in Germany. The longitudinal prospective design of the German Panel Analysis of Intimate Relationships and Family Dynamics data (pairfam, waves 1-9) is used. Discrete-time competing risk hazard models on LAT relationship outcomes to coresidence or separation are estimated. The results underline the fact that sexual satisfaction is not related to LAT partners’ decision to move in together; however, higher levels of relationship satisfaction are positively related to the decision of moving in with a partner. The models reveal that low sexual and relationship satisfaction are associated with breaking-up relative to still living apart. This study highlights the importance of considering sexual satisfaction in understanding better the risk of separation from a LAT partner, in addition to the global indicator of relationship satisfaction.

Claudia Böhme, Anett Schmitz

Abstract The global spread of the coronavirus pandemic has particularly dramatic consequences for the lives of migrants and refugees living in already marginalised and restricted conditions, whose ongoing crisis is at risk of being overlooked. But refugees are not only extremely vulnerable and at risk of infection, as several reports show, quickly develop their own protection measures like the production of hygienic products, the publication of their situation and calls for action and help. Therefore, this paper aims to research the effects of the coronavirus crisis on refugees in camp settings with a special ethnographic focus on how refugees actively deal with this crisis and if they, through already developed resilience, are capable of adapting to the restrictions as well as inventing strategies to cope with the difficult situation. To account for the variety of refugee camps as well as the different living conditions due to their locality, history and national asylum politics, we will look at three different locations, namely refugee asylum homes in Germany, hotspots on the Greek islands as well as one refugee camp in Kenya. The main questions will be how, under structurally and institutionally framed conditions of power and victimisation in refugee camps, forms of agency are established, made possible or limited. The goal is to show which strategies refugees apply to cope with the enhanced restrictions and exclusion, how they act to protect themselves and others from the virus and how they present and reflect their situation during the coronavirus pandemic. Finally, this discussion offers a new perspective to consider refugees not only as vulnerable victims, but also as actively engaged individuals.

James Dennison

Abstract Why do individuals vary in their desire to emigrate? Why are some willing to emigrate irregularly? This article tests four theoretical approaches—socio-demographics; economic and political context; access to migrant networks; and psychological factors—across the Middle East and North Africa region. Data from the Arab Barometer is used to show that the most prevalent factors are youth, university education, being male, and stress levels as well as negative economic and political perceptions, being unmarried, trust in social media, remittances, and low religiosity. Notably, economic factors such as unemployment and income are shown to rarely have an effect. The determinants of being willing to emigrate without papers are fewer and distinct: gender and lower income especially as well as lower education and negative economic and political perceptions. Several contributions to our understanding of emigration are made: a two-step model of irregular emigration based on findings across 12 countries, new evidence of the complex and, within-country, muted role of economic factors, the centrality of psychology, and how, tentatively, it appears that both extreme wealth and war interact with the most fundamental socio-demographic drivers.

Sawitri Saharso, Tabea Scharrer

Abstract While at the moment the world seems to be divided along racial lines and ‘race’ appears to be a central axe of social inclusion and exclusion, in this article we ask whether it is thinkable to go ‘beyond race’. We want to explore the idea of going ‘beyond race’ in four different ways: (1) ‘Beyond race’ as a demographic reality when people of mixed origin form the majority of population; (2) ‘Beyond race’ in regard to policies that aim at combatting inequalities also along color lines, yet are no longer dependent on a notion of race. (3) ‘Beyond race’ in terms of political mobilizations, e.g. the possibility or desirability of anti-racist movements not grounded in identity politics and (4) ‘Beyond race’ as a conceptualization of race that is decoupling biology and culture, or even to stop thinking in racial categories altogether, yet without de-politicizing any marginalised group’s, history and experience. We are aware that this questioning of race, and by implication of ethnicity, may be a typical hang-up of two authors based in Europe. We have invited authors from different parts of the world, and with different academic backgrounds to reflect in a commentary on the issues we raise and to explain their position.

Gabriel Spadon, Jose F. Rodrigues-Jr

Graphs have often been used to answer questions about the interaction between real-world entities by taking advantage of their capacity to represent complex topologies. Complex networks are known to be graphs that capture such non-trivial topologies; they are able to represent human phenomena such as epidemic processes, the dynamics of populations, and the urbanization of cities. The investigation of complex networks has been extrapolated to many fields of science, with particular emphasis on computing techniques, including artificial intelligence. In such a case, the analysis of the interaction between entities of interest is transposed to the internal learning of algorithms, a paradigm whose investigation is able to expand the state of the art in Computer Science. By exploring this paradigm, this thesis puts together complex networks and machine learning techniques to improve the understanding of the human phenomena observed in pandemics, pendular migration, and street networks. Accordingly, we contribute with: (i) a new neural network architecture capable of modeling dynamic processes observed in spatial and temporal data with applications in epidemics propagation, weather forecasting, and patient monitoring in intensive care units; (ii) a machine-learning methodology for analyzing and predicting links in the scope of human mobility between all the cities of Brazil; and, (iii) techniques for identifying inconsistencies in the urban planning of cities while tracking the most influential vertices, with applications over Brazilian and worldwide cities. We obtained results sustained by sound evidence of advances to the state of the art in artificial intelligence, rigorous formalisms, and ample experimentation. Our findings rely upon real-world applications in a range of domains, demonstrating the applicability of our methodologies.

Thomas Dougherty, Rishee Jain

The reduction of greenhouse gases from buildings forms the cornerstone of policy to mitigate the effects of climate change. However, the automation of urban scale building energy modeling systems required to meet global urban demand has proven challenging due to the bespoke characteristics of each city. One such point of uniqueness between cities is that of urban microclimate, which may play a major role in altering the performance of energy efficiency in buildings. This research proposes a way to rapidly collect urban microclimate data through the utilization of satellite readings and climate reanalysis. We then demonstrate the potential utility of this data by composing an analysis against three years of monthly building energy consumption data from New York City. As a whole, microclimate in New York City may be responsible for large swings in urban energy consumption. We estimate that Central Park may reduce the electricity consumption of adjacent buildings by 5-10%, while vegetation overall seems to have no appreciable impact on gas consumption. We find that favorable urban microclimates may decrease the gas consumption of some buildings in New York by 71% while others may increase gas consumption by as much as 221%. Additionally, microclimates may be responsible for the decrease of electricity consumption by 28.6% in regions or increases of 77% consumption in others. This work provides a method of curating global, high resolution microclimate data, allowing researchers to explore the invisible walls of urban microclimate which interact with the buildings around them.