Population Redistribution Research Articles

Two decades of population change in Saudi Arabia: Exploring effective redistribution strategies

Census 2022 of Saudi Arabia was released recently, with 12 years of intercensal interval. Although it appeared provisional having no reports similar to the 2010 census, efforts to analyze, interpret, disseminate, and discuss were essential for building structures and systems at par with demographic trends and patterns. An analysis was carried out with this census data compared to 2004 and 2010 to track population change—demographic pace, trends, and patterns—over the two decades. Data from all three censuses were analyzed with conventional demographic techniques. A reduction in growth was observed with a declining percentage of the childhood population but with an expanding percentage of the adults (working age) indicating a demographic dividend resulted, mostly, from fertility decline. An aging trend established by the previous censuses was lost, recently: the constriction of the pyramid of 2010 was changed to a different shape. Not only the percentage distribution trends were uneven but also the age-based indices. Thus, these trends revealed a demographic difference to an extent, that demands standardized reports, uniform procedures for the data collection and compilation, and geographic distribution equations. The increasing concentration in urban centers of major administrative areas—Al-Riyadh, Makkah Al-Mokarramah, and the Eastern Region demand redistribution policies. Self-contained townships appear as a strategic option in population redistribution, guaranteeing quality standards and lifestyle.

CLIMATE CHANGE: MIGRATION AND POPULATION REDISTRIBUTION CHALLENGES

Discourses on climate change affecting population migration and distributional pattern has dominated the global space for the past three decades. Proffering sustainable solutions to its increasing concern is the principal focus of this study. The paper is theoritical and explored published literature in its interrogation. Results indicates that human climate impact is not only complicated, but also misunderstood by many. Attempting to solve a problem that is not understood, yet complicated will yield no positive results. Population migration concept occasioned by climatic changes requires headlong approaches to solve. Nigeria in recent times has witnessed urban floods, heat islands, and some storms that left along its path unusual negative consequences. The paper recommends holistic action to reverse global warming through adaptation, mitigation and disaster risk reduction. Again, capacity building for early warning systems, enhanced public awareness, as well as loco-specific initiatives and geo-engineering strategies. It is believed that these measures could certainly alleviate the suffering that comes from forced migrations and population redistribution or dislocation arising from inclement climate variations.

Does the Inter-Provincial Floating Population Affect Regional Economic Development in China? An Empirical Analysis

In recent decades, significant changes in the urban–rural structure of population mobility have profoundly impacted provincial development, urbanization, and population redistribution in China. Based on China’s fifth, sixth, and seventh national population census datasets, this study explores the effects of the inter-provincial floating population on regional economic development through statistical and empirical analysis, identifying both the scale and structural impacts of the floating population on regional economic development. The results found that while the scale of China’s floating population has been continuously increasing, the spatial distribution pattern remains relatively unchanged, and the pattern is summed up as low in the middle and high on both sides. The floating population exerts both scale and structural effects on the economic development of both inflow and outflow regions, altering regional populations and production efficiency, and thereby influencing regional economic outcomes. Specifically, this study finds that the inflow population has no significant differential impact on high- and low-density regions. In contrast, the outflow population exhibits a significant differential impact, with the negative impact of the outflow population on low-density regions being more substantial than that on high-density regions. Inter-provincial migration supports achieving sustainable development goals (SDG-8 and 11) by shaping regional economic development. To address these dynamics, the high-density regions of China should transform and upgrade the industrial and population structure by promoting the trend of population return to low-density regions. This can be achieved by transferring low-end industries and low-skilled labor, thereby alleviating the pressure of overcrowding. Meanwhile, low-density regions should seize the opportunities for population return and industrial transfer, implement talent introduction, and accurately undertake industrial transfer. This approach can foster the in-depth development of new urbanization and rural revitalization initiatives, promoting balanced regional growth and sustainability.

(Invited) Photophysical Properties and Photodynamics in CdSe Quantum Dots as Photocatalysts and Photosensitizers

Interactions between dye molecules and the semiconductor quantum dots (QDs) has a strong effect on both solar-to-electrical and solar-to-chemical energy conversion processes. In both types of applications, the charge transfer from the photoexcited QD to the molecule play a crucial role. Applying DFT-based non-adiabatic molecular dynamics, we have revealed ultrafast hole transfer (~10 fs) from the CdSe QD to the Ru(II) dye, following by a slow component (~100 fs) associated with the redistribution of population throughout QD states. The ultrafast interfacial QD-to-dye hole transfer is rationalized by strong non-adiabatic couplings between the QD surface states and the high frequency vibrational modes of isocyanide ligands in the dye. We also have studied the effect of the complex heterostructures of Janus QDs, where a half of the QD is made from CdSe and another half is from PbSe forming an interface along a specific crystalline direction. Our calculations show that the Pb-enriched (111) crystalline direction of the interface enhances optical response of the QDs. The hole relaxation is much slower than the electron relaxation, followed by the hole transfer to the dye. The hole transfer is sensitive to the polarity of the environment, rather than the ways of dye’s attachment to the surface. We also found that in nonstoichiometric QDs, a loss of a passivating ligand affects the electronic structure in the same way as injection of an electron in Cd-rich QDs or hole injection in Se-rich QDs. Moreover, electron injection to the Se-rich QDs results in highly optically active redshifted transitions associated with the introduced charge. Overall, our calculations provide atomistic insights into QD-to-molecule charge transfer, giving researchers an additional handle for enhancing QD photophysical properties by means of the QD stoichiometry, interface structure, and QD-molecule engineering.

Revisiting the Spatial Cycle: Intra-Regional Development Patterns and Future Population Dynamics in Metropolitan Athens, Greece

Being intertwined with economic development, urbanization determines the present and future development path of regions and countries. The intimate relationship between urban expansion and economic development is of particular interest in the case of large regions with complex (and mostly non-linear) socio-demographic dynamics and a relevant primacy in the metropolitan system of a given country. Typical examples of advanced economies with settlement systems characterized by a high degree of city primacy are peripheral and disadvantaged European countries such as Portugal and Greece. For instance, the administrative region of Attica—centered on Athens, the Greek capital city—represents the largest metropolitan area of the country, hosting almost 3.8 million inhabitants in 2021 (36.2% of the Greek population). In this context, this study investigates the internal redistribution of the resident population in metropolitan Athens and the progressive development of satellite cities over a relatively longtime interval, testing the assumptions of the Spatial Cycle Theory (SCT) between 1951 and 2021 and predicting future development paths up to 2051. To investigate past, present, and future intra-regional population trends, we used data released from decadal (1951–2021) censuses and demographic forecasts for the years 2031, 2041, and 2051. Being in line with the SCT, the empirical results of our study document how demographic dynamics of individual centers influence largely—and independently—the long-term development of metropolitan regions, both with policy/planning regulation and in conditions of non-intervention (spontaneous urban growth).

INFLAMMAGING FROM THE PERSPECTIVE OF GYNECOLOGICAL ENDOCRINOLOGY. STARTING POINT

BACKGROUND: It is known that the aging of the immune system in individuals of both sexes is a natural process of ontogenesis, and in women it is apparently identified with the entry into postmenopause and a decrease in ovarian function. AIM: To study immune blood parameters in peri- and early postmenopausal women. METHODS: The single-center, cross-sectional study included 50 women aged 45 to 59 years in the phase of reproductive aging, peri- and early postmenopause. Major subpopulations of blood cells such as cytotoxic T lymphocytes, T helper cells, NK cells, B lymphocytes, classical, non-classical and intermediate monocytes, as well as pro- and anti-inflammatory markers on the isolated monocyte populations were analyzed using flow cytometry. A multiplex assay was used to detect 27 plasma cytokines. RESULTS: Reproductive aging in women during the transition stage of reproductive aging from peri- to postmenopause is accompanied by an increase in the monocyte-associated inflammatory reaction and humoral response, which is expressed in the redistribution of the monocyte population towards non-classical monocytes (p = 0.034) and an increase in the level of B-lymphocytes by 1.8 times (p=0.023), as well as a significant (p=0.022) increase in the level of MCP-1, a marker associated with inflammation. CONCLUSION: Considering the pro-inflammatory nature of changes associated with immune aging in women, it seems preferable to start “early” menopausal hormone therapy (MHT) during perimenopause.

19F-NMR Probing of Ion-Induced Conformational Changes in Detergent-Solubilized and Nanodisc-Reconstituted NCX_Mj.

Consecutive interactions of 3Na+ or 1Ca2+ with the Na+/Ca2+ exchanger (NCX) result in an alternative exposure (access) of the cytosolic and extracellular vestibules to opposite sides of the membrane, where ion-induced transitions between the outward-facing (OF) and inward-facing (IF) conformational states drive a transport cycle. Here, we investigate sub-state populations of apo and ion-bound species in the OF and IF states by analyzing detergent-solubilized and nanodisc-reconstituted preparations of NCX_Mj with 19F-NMR. The 19F probe was covalently attached to the cysteine residues at entry locations of the cytosolic and extracellular vestibules. Multiple sub-states of apo and ion-bound species were observed in nanodisc-reconstituted (but not in detergent-solubilized) NCX_Mj, meaning that the lipid-membrane environment preconditions multiple sub-state populations toward the OF/IF swapping. Most importantly, ion-induced sub-state redistributions occur within each major (OF or IF) state, where sub-state interconversions may precondition the OF/IF swapping. In contrast with large changes in population redistributions, the sum of sub-state populations within each inherent state (OF or IF) remains nearly unchanged upon ion addition. The present findings allow the further elucidation of structure-dynamic modules underlying ion-induced conformational changes that determine a functional asymmetry of ion access/translocation at opposite sides of the membrane and ion transport rates concurring physiological demands.

Double Hanle resonance dependence on light polarization angle and transverse magnetic field direction

We present experimental and theoretical investigations of the dependence of double Hanle resonance spectrum on the light polarization angle and the direction of the applied transverse magnetic field (TMF). The experiments are done for Fg=2→Fe=1 transition of 87Rb D1 line using a rubidium vapor cell containing buffer gas. We show that a small light polarization component along the direction of TMF introduces asymmetry in the double Hanle resonance signal. Both the magnitude and sign of asymmetry in the signal are sensitive to the TMF orientation, suggesting a possible method for in-situ measurement of the direction of the magnetic fields generated by the coils. The physical origin of this asymmetry is explained by considering the redistribution of population among the ground-state Zeeman sublevels in the presence of TMF. In addition, we systematically vary both the polarization angle and TMF direction to study their effect on the line profile of Hanle resonances. We demonstrate that a double Hanle resonance changes to a dark Hanle resonance by rotating the light polarization vector irrespective of the TMF direction. We have developed a simple theoretical model based on a degenerate two-level system to explain our experimental observations.

Active control of Alfvén eigenmodes by external magnetic perturbations with different spatial spectra

Alfvén eigenmodes have been suppressed and excited in tokamak plasmas by (just) modifying the poloidal spectra of externally applied static magnetic perturbations. This effect is observed experimentally when toroidal spectra of n = 2, n = 4 as well as a mixed spectrum of n = 2 and n = 4 is applied. Under the n = 2 magnetic perturbations, the modes are excited or suppressed by modifying the coil phasing between the upper and the lower set of coils. Regardless of the absolute rotation, an even parity for the n = 4 perturbation is observed to reduce the amplitude of the Alfvénic instabilities, while an odd parity amplifies it. To combine the stabilizing (and destabilizing) effect of n = 2 and n = 4, a mixed spectrum is applied, finding similar reduction (and amplification) trends. However, the impact on the mode amplitude is more subtle, due to the reduced coil current required for a mixed spectrum. The signal level on the fast-ion loss detector is sensitive to the applied poloidal spectrum, which is consistent with Hamiltonian full-orbit modelling of an edge resonant transport layer activated by the 3D perturbative fields. An internal redistribution of the fast-ion population is induced, modifying the phase-space gradients driving the Alfvénic instabilities, and ultimately determining their existence. The calculated edge resonant layers for both n = 2 and n = 4 toroidal spectra are consistent with the observed suppressed and excited phases. Moreover, hybrid kinetic-magnetohydrodynamic (MHD) simulations reveal that this edge resonant transport layer overlaps in phase-space with the population responsible for the fast-ion drive. The results presented here may help to control fast-ion driven Alfvénic instabilities in future burning plasmas with a significant fusion born alpha particle population.

Nature-based solutions for fast-growing city regions: A new spatial equilibrium model for complementary urban green space planning

Urban green spaces assume a pivotal role in city-level nature-based solutions for sustainable development. Parks, street greening, and community greens play a significant role in regulating the urban microenvironment, enhancing subjective well-being, and increasing regional attractiveness. Additionally, urban greenbelts have the capacity to control urban sprawl, thereby influencing housing prices and population distribution. However, the exisiting urban models have typically addressed greenbelts and other green spaces in isolation, resulting in fragmented planning strategies. This study aims to establish a novel spatial equilibrium model that accurately assesses the socio-economic effects resulting from the combined impact of various urban green spaces. This model encompasses green infrastructure components and carefully balances their appeal against the consequent rise in housing costs. The proposed model can elucidate the latent synergistic interactions among multiple urban green policies, which enables urban policymakers to access the multifaceted impacts of greening policy combinations. and suggests that combining different urban greening policies can mitigate the negative effects of a single policy type, such as population redistribution. A case study based on empirical data from Shanghai, China, has been employed to identify the additional value associated with diverse urban green spaces. The scenario analysis suggests that combining different urban greening policies can alleviate the negative impacts of urban population relocation. These findings furnish urban planners and policymakers with novel insights to develop the distribution strategy of urban green spaces via judicious policy integration. Consequently, the proposed model furnishes a novel academic standpoint on the role of urban green spaces within the context of nature-based solution for sustainable development of metropolitan conglomerates and nascent urban agglomerations amidst the evolving post-COVID-19 environment.

Spatially explicit downscaling and projection of population in mainland China

Spatially explicit population data is critical to investigating human-nature interactions, identifying at-risk populations, and informing sustainable management and policy decisions. Most long-term global population data have three main limitations: 1) they were estimated with simple scaling or trend extrapolation methods which are not able to capture detailed population variation spatially and temporally; 2) the rate of urbanization and the spatial patterns of settlement changes were not fully considered; and 3) the spatial resolution is generally coarse. To address these limitations, we proposed a framework for large-scale spatially explicit downscaling of populations from census data and projecting future population distributions under different Shared Socio-economic Pathways (SSP) scenarios with the consideration of distinctive changes in urban extent. We downscaled urban and rural population separately and considered urban spatial sprawl in downscaling and projection. Treating urban and rural populations as distinct but interconnected entities, we constructed a random forest model to downscale historical populations and designed a gravity-based population potential model to project future population changes at the grid level. This work built a new capacity for understanding spatially explicit demographic change with a combination of temporal, spatial, and SSP scenario dimensions, paving the way for cross-disciplinary studies on long-term socio-environmental interactions.

Spatial Autocorrelation and Political Redistricting: A Task for the Uniform Distribution

An important quantitative geography application area derives from the periodically repeating apportionment process of redrawing legislative district boundaries to guarantee equal voter representation through identical or equivalent population counts, a situation confronting the U.S. Supreme Court with gerrymandering rulings on a decennial basis. This remains a small geographic sample size domain, with states having between one and fifty-two (i.e., California) congressional precincts in 2023. Texas constitutes an informative case study because its sample size of thirty-eight exceeds the frequently touted minimum of thirty, and its 2020 increase was two seats, more than any other state, some of which experienced decreases. Hence, although all fifty states also have undergone internal population redistribution, the Texas redrawn boundaries offer the greatest opportunity for dramatic borderline changes. This article appraises outcomes of this Texas gain within its legal constraints as they pertain to a novel uniform distribution explicitly embracing spatial autocorrelation, a fundamental georeferenced data property. Its name is sui-uniform to differentiate it from the prevalent auto- model convention; this article furnishes its first empirical application. After accounting for spatial autocorrelation, the inferential conclusion for Texas is as preferred: Superpopulation geotagged voting-age populations conform to a uniform distribution, whereas racial and ethnic subpopulations do not.

Spatiotemporal pattern evolution and influencing factors of population spatial distribution in Changsha-Zhuzhou-Xiangtan urban agglomeration, China

<p class="MsoNormal" style="text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">Population, as a fundamental element in urban development, often reflects a city's economic development pattern through its spatial distribution and dynamic changes. Studying population spatial distribution is pivotal for bolstering the economic activity capacity in urban agglomerations and guiding regional economic health. Using the Changsha-Zhuzhou-Xiangtan urban agglomeration as a case study, this paper analyzes its overall spatial structure and the spatiotemporal evolution of population at the district and county levels. This analysis utilizes population density, population redistribution index, and population geographic concentration as key indices. Additionally, a spatial econometric model is constructed to assess the impact of economic, social, and environmental factors on population spatial patterns. Findings reveal several key points: (1) Furong District serves as the primary central area, boasting a population geographic concentration of 25.1% in 2021. Tianxin District, Kaifu District, Yuhua District, Shifeng District, Yuelu District, and Hetang District constitute the secondary central areas, while Yutang District, Tianyuan District, Lusong District, Yuhu District, Wangcheng District, and Changsha County form the tertiary level areas. (2) Population density within the Changsha-Zhuzhou-Xiangtan urban agglomeration gradually decreases from Furong District outward. The first central area and sub-central areas experience increasing population density, highlighting a polarization trend in the population distribution. (3) The overall Moran's index for the spatial distribution of population in the Changsha-Zhuzhou-Xiangtan urban agglomeration is significantly positive, indicating a strong spatial autocorrelation and a deepening spatial agglomeration of population distribution. (4) Per capita disposable income, financial expenditure, and education level positively influence the geographical concentration of population in the urban agglomeration, while GDP per capita, road area per capita, and environmental quality exert a negative impact. Notably, the most influential factors shaping population spatial distribution are GDP per capita, disposable income per capita, and air quality.</span></p>

Migration, climate change and the futures of global population redistribution

Migration, climate change and the futures of global population redistribution

Phonon-mediated temperature dependence of Er3+ optical transitions in Er2O3

Characterization of the atomic level processes that determine optical transitions in emerging materials is critical to the development of new platforms for classical and quantum networking. Such understanding often emerges from studies of the temperature dependence of the transitions. We report measurements of the temperature dependent Er3+ photoluminescence in single crystal Er2O3 thin films epitaxially grown on Si(111) focused on transitions that involve the closely spaced Stark-split levels. Radiative intensities are compared to a model that includes relevant Stark-split states, single phonon-assisted excitations, and the well-established level population redistribution due to thermalization. This approach, applied to the individual Stark-split states and employing Er2O3 specific single-phonon-assisted excitations, gives good agreement with experiment. This model allows us to demonstrate the difference in the electron-phonon coupling of the 4S3/2 and 2H11/2 states of Er3+ in E2O3 and suggests that the temperature dependence of Er3+ emission intensity may vary significantly with small shifts in the wavelength (~0.1 nm) of the excitation source.

Increased population exposures to extreme precipitation in Central Asia under 1.5 ℃ and 2 ℃ global warming scenarios

The increase in extreme precipitation (EP) may pose a serious threat to the health and safety of population in arid and semi-arid regions. The current research on the impact of EP on population in Central Asia (CA) is insufficient and there is an urgent need for a comprehensive assessment. Hence, we opted for precipitation and temperature data under two Shared Socioeconomic Pathways (SSP2–4.5 and SSP5–8.5) from ten Global Climate Models (GCMs), which were obtained from the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6). By integrating population data in 2020 and 2050 (SSP2 and SSP5), we investigated the future changes in EP and population exposure in CA under 1.5 °C and 2 °C global warming scenarios (GWSs). Our analysis indicates that EP in CA is projected to increase with global warming. Under the SSP5–8.5, the maximum daily precipitation (Rx1day) exhibits an average response rate to global warming of 3.58 %/K (1.99–4.06 %/K). With rising temperatures, an increasing number of areas and populations in CA will be impacted by EP, especially in the Fergana valley. Approximately 25% of the population (land area) in CA is exposed to Rx1day with increases of more than 8.31% (9.32%) under 1.5 °C GWS and 14.18% (13.25%) under 2 °C GWS. Controlling temperature rise can be effective in reducing population exposures to EP. For instance, limiting the temperature increase to 1.5 °C instead of 2 °C results in a 2.79% (1.75%–4.59%) reduction in population exposure to Rx1day. Finally, we found that climate change serves as the predominant factor influencing the population exposure to EP, while the role of population redistribution, although relatively minor, should not be disregarded. Particularly for prolonged drought, the role of population redistribution manifests negatively.

TRANSPORT POLICIES, TRANSIT-ORIENTED AND DEVELOPMENT REDISTRIBUTION OF POPULATION IN PERI-URBAN: LESSONS FROM KUALA LUMPUR AND JAKARTA METROPOLITAN AREA

Transit-Oriented Development (TOD) is the representation of a compact land-use management strategy relying on a mixture of land use and transport concepts to manage urban sprawl and population. The concept promotes high-density housing, mixed land use, and integrated mobility. Therefore, this article aims to discuss the incorporation process of TOD concept into urban policies and transport planning in Southeast Asian metropolitan cities. The effects of the policies on population movement patterns are examined, specifically in peri-urban areas, which are the most difficult parts of cities. In addition, the case studies include Jakarta and Kuala Lumpur, representing two of the most rapidly developing metropolitan areas in Southeast Asia where TOD has been progressively adopted. Data and information are collected from documentary reviews and interviews. The results show that the duration of TOD policy implementation gives rise to distinct trajectories in peri-urban population redistribution experiences within the two metropolitan areas.

Evaluasi penerapan konsep forest city dalam pembangunan lokasi calon ibu kota negara Indonesia penerapan pembangunan berkelanjutan

Jakarta being the nation’s capital, has led to significant environmental stress due to population density. The rise in inhabitants corresponds with the demand for residential land, urban infrastructure, and other auxiliary structures. The Indonesian government proposes the relocation of the State Capital as a remedy to address the issues and loads present in Jakarta and, more extensively, on Java Island. The fair allocation of funds for infrastructure development to boost economic growth outside Java Island is targeted at suitable locations, specifically in the North Penajam Paser and Kutai Kartanegara Regencies. The forest city concept is a strategy in urban planning and development that integrates with nature to safeguard forest regions and biodiversity. Striving for sustainable development necessitates consideration of social, economic, and environmental aspects in the urbanization process on Kalimantan Island. Urbanization issues to general environmental paradigms often arise in several regions, offering a unique viewpoint on the implementation of urban forests at the State Capital candidate location. The shift of service and government hubs is accompanied by population redistribution, with an estimated 1.5 million individuals expected to inhabit the proposed area. Social and environmental conflicts are prevalent issues of concern in the establishment of new cities. The objective of the evaluation is conducted through an analysis of the potential and challenges that will be encountered in relocating the State Capital from the socio-cultural aspect concerning cultural assimilation and environmental aspects related to the urban environment, which can induce an urban heat island. This research employs a descriptive qualitative approach and method to identify potential and problems developed by the necessary strategies through SWOT analysis. The findings of this research offer recommendations that the government, as the decision-maker, must implement to preserve and sustain the potential of the environment and socio-cultural diversity.

California Exodus? A network model of population redistribution in the United States

ABSTRACT Motivated by debates about California’s net migration loss, we employ valued exponential-family random graph models to analyze the inter-county migration flow network in the United States. We introduce a protocol that visualizes the complex effects of potential underlying mechanisms and perform in silico knockout experiments to quantify their contribution to the California Exodus. We find that racial dynamics contribute to the California Exodus, urbanization ameliorates it, and political climate and housing costs have little impact. Moreover, the severity of the California Exodus depends on how one measures it, and California is not the state with the most substantial population loss. This paper demonstrates how generative statistical models can provide mechanistic insights beyond simple hypothesis-testing.

QTAIM based descriptors for the classification of acrylates

Acrylates are used in cosmetics, orthopedics, paints, coatings, adhesives, textiles, and biomedical applications such as contact lenses and bone cements. However, some acrylates are mutagenic and the aim of this article is to explain the mutagenicity in terms of the atomic population redistribution in the molecule using two new descriptors which are based on atomic populations framed in the quantum theory of atoms in molecules. They describe the electron-withdrawing effect of a group of atoms in a molecule. The descriptors consider substituents of prop-2-enoates, the number of the acrolein units and the electrophilicity. The cluster analysis using these descriptors allows to classify acrylates in terms of the number of acrolein backbones and the type of the substituent group. Five main groups can be distinguished: monoacrylates with monomethacrylates, diacrylates with dimethacrylates, triacrylates, trimethacrylate and monoacrylates with electron-rich substituents. The substituents of mutagenic acrylates are electron withdrawing. This makes the acrolein backbone β-carbon more electrophilic and the molecule more reactive.