Movement Of People Research Articles

Determinants of last-mile travel mode choice under different COVID-19 alert levels: A case study of Batasan Hills, Quezon City, Philippines

The COVID-19 outbreak has led to remarkable changes in the transport sector and people’s travel behavior. The suspension of public transport leads to an increase in the number of private car users and the number of walking activities. The last mile, being one of the weakest links in the transport network, has become more challenging to manage with the imposition of different travel restrictions. Using the data collected from the households of Barangay Batasan Hills, Quezon City, Philippines, this study aimed to understand people’s travel behavior during the pandemic. Specifically, a binary logit model was used to determine the significant factors that affect the last-mile travel mode choice under different alert levels. Results showed that age during the pandemic, monthly household income, the purpose of travel, travel expense, travel time, departure time, origin, compliance with COVID-19 measures, and trip duration have significant factors in last-mile travel mode choice. In addition, risk perception on public transport was also a determinant of last-mile travel mode under alert levels 1 and 2. Analyzing travel behavior during the COVID-19 pandemic is deemed beneficial in devising strategies and interventions that will help mitigate the spread of the virus while still allowing economic activity and the movement of people to happen.

Arborização urbana não planejada como barreira à acessibilidade

Urban afforestation, when well planned, brings several benefits to cities and citizens. However, when poorly planned, it can generate several economic and socio-environmental problems, such as those that hinder and/or limit people's mobility and access to various public facilities. In this sense, the objective of this study was to evaluate the impacts of urban trees from the perspective of accessibility on the sidewalks of Avenida Lomanto Júnior, Jequié - BA, with NBR 9050/2020 being used as a parameter to evaluate the conditions of this road. Although a good part of this Avenue meets the general dimensions required, several nonconformities were observed regarding the width of the free lanes, signaling, flooring and the presence of obstacles. In several stretches, it was possible to observe the presence of trees that limit or prevent the movement of people with some type of disability or reduced mobility. Thus, considering mobility as a constitutional right, the elaboration of a project and the implementation of actions that guarantee citizenship and accessibility to all people, without any kind of distinction, are essential.

Paleoparasitological analysis of a 15th-16th c. CE latrine from the merchant quarter of Bruges, Belgium: Evidence for local and exotic parasite infections.

Paleoparasitological studies have made important contributions to our understanding of the past epidemiology of parasites, infection in past populations and lifestyle in the past. In some cases, these ancient parasites can also provide evidence for long distance travel or migration of people in the past. Three sediment samples from a 15th–16th c. CE latrine from the Spanish nation house in Bruges, Belgium were analysed for preserved helminth eggs using microscopy. Bruges was a major trading centre in medieval Europe, thus it was home to a large merchant population with extensive trading networks. Paleoparasitological analysis revealed a preserved parasite egg from Schistosoma mansoni, which causes intestinal schistosomiasis. Roundworm, whipworm, liver fluke and Taenia tapeworm eggs were also found in the latrine which is consistent with parasites previously found in the local population in the medieval period. These new data provide direct evidence for the movement of S. mansoni outside of its endemic area. Today the vast majority of S. mansoni infections occur in Sub-Saharan Africa, with additional endemic areas in the Arabian peninsula and South America. The introduction of S. mansoni into South America is proposed to have occurred relatively recently in human history, as the result of forced movement of people from Africa to the Americas with the Atlantic slave trade. Thus, this infection may have occurred in a merchant who acquired the parasite during trade voyages to Africa or in an individual living in Africa who migrated to Bruges.

Chinese migrant workers’ integration into cities and land transfer amid urban–rural population mobility

Following the economic reforms and opening up, the Chinese government has implemented policies aimed at promoting land transfer, yet the rate of rural land transfer continues to be relatively low, resulting in inefficient land use in rural regions. The movement of people from rural to urban areas is a key driver of land transfer, and the level of integration of migrant workers in urban settings is closely tied to their decisions to transfer land. We analyzed survey data from 1,533 migrant worker households using a binary logistic regression model and conducted an endogeneity test with a two-stage least squares model. The findings indicate that economic, social, psychological, and identity integration, as well as overall urban integration, have a significant positive impact on the likelihood of land transfer, the involvement of non-relatives in transfers, and the length of time land is transferred.Economic integration significantly influences the decision of migrant workers to transfer land, social integration plays a substantial role in transfers involving non-relatives, and psychological and identity integration significantly affects the duration of land transfers. In summary, the analysis recommends that policymakers prioritize fostering a more inclusive urban environment for migrant workers, enhance employment opportunities and social security services for this group, and facilitate the participation of migrant workers in the land transfer market to maximize the value of their land assets.

The Challenge to Mahmoud Abu Rayyah's Thoughts on The Significance of Abu Hurairah and Ka'b Al-Ahbār in Hadīth Narration

In response to Mahmoud Abu Rayyah's accusations against Ka'b al-Ahbār, this study attempts to address the claims that he was the ‘first Jewish’ in Islam, that deceit and hypocrisy led to his conversion to Islam, and that he was the first to support the Jewish people's movement in Jerusalem. This study uses qualitative methods with a type of literature analysis supplemented by analysis of content to analyze to understand Abu Rayyah's thoughts on his criticism of the relationship between Abu Hurairah and Ka'b al-ahbar. In this case the author also analyzes the criticism with the method of criticism of Abu Rayyah's thoughts. In response, the following was said: Regarding the Islamic conversion of al-Ahbār: There is universal agreement among historians regarding the validity of al-Ahbār’s conversion to Islam, having previously served as a Jewish priest. Ka'b was among the wisest Jews in his generation. He addressed Arabic with ease and had extensive knowledge of both the Prophet's Sunnah and the Holy Qur'an. As a result, Ka’b al-Ahbār 's conversion to Islam helped Muslims gain a thorough understanding of Judaism and played a significant role in converting Jews to Islam. Considering the connection between Abu Hurairah and Ka'b al-Ahbār, all historians concur that Abu Hurairah used to obtain numerous hadiths from al-Ahbār, who was one of his narrators. The Israeli hadiths and their attribution to the Prophet, peace and blessings be upon him, were not transmitted to Abu Hurairah by al-Ahbār, albeit these claims are unsupported. The hadiths from Ka'b al-Ahbār were verified by other sources, according to evidence that Abu Hurairah once collected. On the authority of the Prophet, regarding the hadiths recounted by Abu Hurairah.

What are the effects of adjunctive light vibrational forces for accelerating tooth movement in people undergoing orthodontic treatment?

What are the effects of adjunctive light vibrational forces for accelerating tooth movement in people undergoing orthodontic treatment?

Spatial production and evolution of commercial ports in the ocean shipping era: A case study of modern Fuzhou and Xiamen in Fujian province, China

Commercial ports are vital regional intersections in the era of globalization, relying on maritime networks and local convergence to facilitate the movement of goods, people, and ideas. The term “The Five Treaty Ports” marks the beginning of foreign territorial leases for trade in China. During this period, the spatial planning and infrastructure development of commercial ports dynamically responded to the rapid progress of globalization. This article uses the commercial port cities of Fuzhou (Foochow) and Xiamen (Amoy) as case studies, examining how advancements in shipping technology influenced the evolution of port spaces. It traces the transformation of urban port spatial landscapes through the “sailing ship era,” “steamship era,” and “oil tanker era.” These eras not only carried the enlightenment of mercantilist ideas and featured characteristics of “industrialization for the nation,” but also reflected the significant influence of capitalist “market expansion” ideas in spatial configurations. Furthermore, the article argues that the spatial representation of modern commercial ports embodies the collaborative forces of mercantilism, colonialism, and capitalism, promoting globalization through trade. This research aims to explore the evolution of modern commercial port spaces, analyze the progressive transition from mercantilism to capitalist production modes, and ultimately enhance understanding of the globalization process within port spaces.

Sustainable Characteristics of Traditional Villages: A Systematic Literature Review Based on the Four-Pillar Theory of Sustainable Development

The definition of sustainable characteristics of traditional villages can assist in determining the direction of development and evaluating the development results. Nevertheless, a clearly defined concept of the sustainable performance of traditional villages is required. (1) This paper addresses the phenomenon of traditional villages and their decline due to urbanization, industrialization, and the movement of people from rural settlements. The development of traditional villages causes several concerns. This study aims to present a more precise definition of the sustainability of traditional villages. (2) the Preferred Reporting Items for Systematic Evaluation and Meta-Analysis (PRISMA) guidelines conducted a systematic literature review. The data were searched using the Web of Science database, with consideration given to the values of relevance, authority, and impact. (3) The sustainability of traditional villages is explained based on the four-pillar theory of sustainable development, focusing on the economic, environmental, social, and cultural dimensions. (4) The findings provide a scientific framework for understanding the sustainability of traditional villages. These results will provide insights to the future preservation and development of traditional villages.

Ship detection using ensemble deep learning techniques from synthetic aperture radar imagery

Synthetic Aperture Radar (SAR) integrated with deep learning has been widely used in several military and civilian applications, such as border patrolling, to monitor and regulate the movement of people and goods across land, air, and maritime borders. Amongst these, maritime borders confront different threats and challenges. Therefore, SAR-based ship detection becomes essential for naval surveillance in marine traffic management, oil spill detection, illegal fishing, and maritime piracy. However, the model becomes insensitive to small ships due to the wide-scale variance and uneven distribution of ship sizes in SAR images. This increases the difficulties associated with ship recognition, which triggers several false alarms. To effectively address these difficulties, the present work proposes an ensemble model (eYOLO) based on YOLOv4 and YOLOv5. The model utilizes a weighted box fusion technique to fuse the outputs of YOLOv4 and YOLOv5. Also, a generalized intersection over union loss has been adopted in eYOLO which ensures the increased generalization capability of the model with reduced scale sensitivity. The model has been developed end-to-end, and its performance has been validated against other reported results using an open-source SAR-ship dataset. The obtained results authorize the effectiveness of eYOLO in multi-scale ship detection with an F1score and mAP of 91.49% and 92.00%, respectively. This highlights the efficacy of eYOLO in multi-scale ship detection using SAR imagery.

International armed conflicts and their impact on aviation safety

Aviation transport is an integral part of the global infrastructure that ensures fast and efficient movement of people and cargo around the world. However, international armed conflicts create serious challenges for the aviation industry, affecting the safety of flights, the economic stability of airlines, as well as the international aviation community as a whole. This article is devoted to the analysis of the impact of armed conflicts on air traffic, taking into account real examples from different regions of the world. One key aspect of the research is examining the effects of airspace closures over conflict zones, which force airlines to change routes, increasing fuel and operating costs. In addition, the issue of flight security in conflict zones, where commercial aircraft are at increased risk of accidental or deliberate attacks, is analyzed. An important aspect of the article is also the assessment of economic losses suffered by airlines and airports due to conflicts. In particular, cases of flight cancellations, a decrease in passenger traffic, as well as an increase in insurance premiums, which significantly affect the financial performance of companies, are considered. The article also touches on issues of international cooperation in the field of aviation security, which is critically important for minimizing risks and ensuring the stability of air traffic in armed conflicts. In particular, the role of international organizations such as ICAO and the effectiveness of existing international agreements and treaties aimed at coordinating actions between states during crisis situations are analyzed. The article also focuses on developing practical recommendations for airlines and governments to improve their conflict preparedness, including route planning, risk management and improved information sharing systems. Given the complexity and multifaceted nature of the issue, the authors emphasize the need for further scientific research in this area in order to develop new strategies and tools to ensure the safety and stability of the global aviation industry in the face of armed conflicts. Thus, the article makes a significant contribution to the understanding of the impact of international armed conflicts on air traffic and offers a comprehensive approach to solving this problem.

Analysis of Black Site and Black Spot at Jl. Daeng Manambon-Raden Kusno-Gusti Sulung Lelanang Section, Mempawah

Transportation plays a vital role in society by facilitating the movement of people and goods. However, it also brings challenges like traffic congestion and accidents. With urbanization and increased vehicles, road safety has become crucial, as accidents have significant economic and social impacts. Analyzing accident-prone areas helps identify necessary preventive measures. This research was conducted on the 10.1 km Jl. Daeng Manambon-Raden Kusno-Gusti Sulung Lelanang section in Mempawah. Primary data from field surveys includes road conditions, fittings, geometry, and vehicle speeds. Secondary data is traffic accident data (2018-2023) from the Mempawah City Police, analyzed using numerical methods.The Jalan Daeng Manambon-Raden Kusno-Gusti Sulung Lelanang corridor analysis reveals several accident-prone areas (Black Spots) with damaged road features and poor safety facilities. Key findings include deteriorating zebra crossings, speed traps, and traffic signs. High-risk accident locations were identified using Z-Score and Cusum methods. Recommendations include repairing roads, repainting markings, installing better signage, and maintaining clear sightlines. Future studies should focus on more specific interventions and monitoring to improve road safety, following Department of Settlements and Regional Infrastructure guidelines for effective accident reduction

The Free Movement of People and the Success of Far-Right Parties: Evidence from Switzerland’s Border Liberalization

The main theories explaining electoral backlash against immigration focus on citizens’ cultural, economic, and security concerns. We test these predictions in Switzerland, which opened its labor market to neighboring countries in the 2000s. Employing a difference-in-differences design, we document a substantial rise in immigrant workers in Swiss border municipalities after the border opened. This was accompanied by a 6-percentage-point (95% confidence interval 2–10) increase in support for anti-immigrant parties, equivalent to a 32% rise at the mean. However, we find no adverse effects on citizens’ employment, wages, or subjective perceptions of economic, cultural, or security threats. Instead, we describe how far-right parties introduced novel narratives related to overcrowding to advance hostility toward immigrants. We provide evidence that this rhetoric targeted border municipalities, where it had the greatest impact on voters susceptible to political persuasion. Together, these findings suggest that elites can play a role in driving anti-immigrant votes.

ASSESSMENT OF BIOLOGICAL RISKS IN INFECTIOUS DISEASES TO ENSURE BIOLOGICAL SAFETY

The territory of the Republic of Kazakhstan is unfavorable for a number of infectious diseases of animals and humans that pose an enzootic biological threat. Such nosological units include anthrax, blackleg, rabies, leukemia, brucellosis, tuberculosis, pasteurellosis, sheep pox, camel pox, CCHF, highly pathogenic avian influenza, foot-and-mouth disease, tick-borne encephalitis, influenza A and B, infectious hepatitis, Newcastle disease, seasonal flu, coronavirus infection COVID-19, etc., some of which affect only animals or humans, and some affect both animals and humans. While some of these diseases are natural focal and pose a constant biological threat, others appear from time to time, penetrating from neighboring countries or develop as a result of movement from the wild - reservoirs and hidden carriers of pathogens. A number of exotic diseases pose a real threat of penetration from outside the country due to interstate movements of people, animals, feed and animal products.

Genetic and linguistic comparisons reveal complex sex-biased transmission of language features.

The history of people's movements and interactions shapes both genetic and linguistic variation. Genes and languages are transmitted separately and their distributions reflect different aspects of human history, but some demographic processes can cause them to be similarly distributed. In particular, forms of societal organization, including movements in and out of a community, may have shaped the transmission of both genes and languages. If children were more likely to learn their mother's language than their father's when their parents were from populations that spoke different languages or dialects, then language variation might show a closer association with maternally transmitted genetic markers than autosomal ones; this association could be further reinforced if children reside with predominantly maternal kin. We analyze the worldwide relationship between linguistic and genomic variation, leveraging the sex-biased transmission of X chromosomes to assess whether language has tended to be preferentially transmitted along the male or female line. In addition, we measure the effects of postmarital residence with female kin, matrilineal descent, and endogamy on the covariation of mitochondrial DNA and languages, using mtDNA because genomic data were available for very few populations with these ethnographic traits. We find that while there is little evidence for a consistent or widespread sex bias in the transmission of language, such biased transmission may have occurred locally in several parts of the world and might have been influenced by population-level ethnographic characteristics, such as female-based descent or residence patterns. Our results highlight the complex relationships between genes, language, ethnography, and geography.

Modelling indoor airborne transmission combining architectural design and people movement using the VIRIS simulator and web app

A Viral Infection Risk Indoor Simulator (VIRIS) has been developed to quickly assess and compare mitigations for airborne disease spread. This agent-based simulator combines people movement in an indoor space, viral transmission modelling and detailed architectural design, and it is powered by topologicpy, an open-source Python library. VIRIS generates very fast predictions of the viral concentration and the spatiotemporal infection risk for individuals as they move through a given space. The simulator is validated with data from a courtroom superspreader event. A sensitivity study for unknown parameter values is also performed. We compare several non-pharmaceutical interventions (NPIs) issued in UK government guidance, for two indoor settings: a care home and a supermarket. Additionally, we have developed the user-friendly VIRIS web app that allows quick exploration of diverse scenarios of interest and visualisation, allowing policymakers, architects and space managers to easily design or assess infection risk in an indoor space.

Influence of Transfer Epidemiological Processes on the Formation of Endemic Equilibria in the Extended SEIS Model

In the present paper, a modification of the standard mean-field model is considered, allowing for the description of the formation of a dynamic equilibrium between infected and recovered persons in a population of constant size. The key point of this model is that it highlights two-infection transfer mechanisms depending on the physical nature of the contact between people. We separate the transfer mechanism related directly to the movement of people (the so-called transport processes) from the one occurring at zero relative speed of persons (the so-called social contacts). Under the framework of a physical chemical analogy, the dependencies for the infection transfer rate constants are proposed for both purely transport and social mechanisms of spread. These dependencies are used in discussing the formation of quasi-stationary states in the model, which can be interpreted as endemic equilibrium states. The stability of such endemic equilibria is studied by the method of Lyapunov function.

Framework of Scan to Building Information Modeling for Geometric Defect Localization in Railway Track Maintenance

Railway transportation plays a vital role in modern society, enabling the safe and efficient movement of people and goods over long distances. To ensure the longevity and safety of a railway infrastructure, the regular maintenance of tracks is crucial. Traditional track inspections, conducted manually to monitor geometric parameters and to identify defects, are time-consuming, labor-intensive, and prone to human error. Current Scan-to-BIM frameworks for railway maintenance also lack standardized methods for extracting geometric parameters that can be easily integrated into Building Information Modeling (BIM). Additionally, the Industry Foundation Classes (IFC) standard, used for BIM data exchange, does not support storing parameter values at specific chainage points along the track, limiting defect localization. A framework is proposed to address these challenges by standardizing the extraction of geometric parameters from point cloud data and ensuring seamless integration with BIM. The framework calculates parameters at station chainage points and generates additional chainage points along the track, associating the data with the corresponding chainage. A case study demonstrates the framework’s ability to enhance defect localization, using the EN 13848-5 European Standard to identify defects at specific chainages. Ultimately, this approach contributes to the more effective lifecycle management of railway tracks.

Uncovering migration systems through spatio-temporal tensor co-clustering

A central problem in the study of human mobility is that of migration systems. Typically, migration systems are defined as a set of relatively stable movements of people between two or more locations over time. While these emergent systems are expected to vary over time, they ideally contain a stable underlying structure that could be discovered empirically. There have been some notable attempts to formally or informally define migration systems. However, they have been limited by being hard to operationalize and defining migration systems in ways that ignore origin/destination aspects and fail to account for migration dynamics over time. In this work, we propose to employ spatio-temporal tensor co-clustering—that stems from signal processing and machine learning theory—as a novel migration system analysis tool. Tensor co-clustering is designed to cluster entities exhibiting similar patterns across multiple modalities and thus suits our purpose of analyzing spatial migration activities across time. To demonstrate its effectiveness in describing stable migration systems, we first focus on domestic migration between counties in the US from 1990 to 2018. We conduct three case studies on domestic migration, namely, (i) US Metropolitan Areas, (ii) the state of California, and (iii) Louisiana, in which the last focuses on detecting exogenous events such as Hurricane Katrina in 2005. In addition, we also examine a case study at a larger scale, using worldwide international migration data from 200 countries between 1990 and 2015. Finally, we conclude with a discussion of this approach and its limitations.

Genomic diversity of Campylobacter jejuni and Campylobacter coli isolates recovered from human and poultry in Australia and New Zealand, 2017 to 2019.

We used genomic and epidemiological data to assess and compare the population structure and origins of Campylobacter, a major foodborne pathogen, in two neighbouring countries with strong trade and cultural links, similar poultry production systems and frequent movement of people and food products. The most common sequence types (STs) differed between Australia and New Zealand, with many unique to each country. Over half of all STs were represented by a single isolate. Multidrug-resistant (MDR) genotypes were detected in 0.8% of all samples, with no MDR isolates detected in poultry. Quinolone and tetracycline resistant ST6964 was prevalent in New Zealand (10.6% of C. jejuni). Closely related isolates suggested some similar food sources or contacts. We have shown that there is little genetic overlap in human and poultry STs of Campylobacter between the countries, which highlights that this common foodborne pathogen has domestic origins in Australia and New Zealand.

Fuzzy Logic and Machine Learning Algorithms for Detection and Classification of Falls and Activities of Daily Living

This article analyses the movements of young and elderly people using data collected from an accelerometer and a gyroscope. This study proposes Type I fuzzy logic (FL) and several machine learning (ML) algorithms for the detection and classification of daily life movements and falls. The results obtained demonstrate that a fuzzy logic system can efficiently integrate data from an accelerometer and a gyroscope to classify falls and movements in daily life with 97.4% accuracy. When ML classifiers are used, the performance across several algorithms is also very high.