Infrastructure Investment Research Articles

Austerity Infrastructure, Gentrification, and Spatial Violence: A Ceaseless Battle over Urban Space in Exarcheia Neighbourhood

AbstractIn this paper, we aim to understand how long‐term state neglect of public infrastructure coexists with a renewed emphasis on profit‐driven infrastructure development in urban contexts. We focus on Exarcheia, an Athens neighbourhood known for its radical character, where a lack of public infrastructure investment aligns with plans for new transport infrastructure and urban regeneration. Using a participatory action research approach and engaging in collective discussions with grassroots organisations opposing these plans, we argue that prolonged austerity following the 2008 economic crisis has redefined state‐funded public infrastructures, aligning them more closely with the speculative interests of real estate, commercial, and infrastructure capital. The interplay of austerity infrastructure, gentrification, and spatial violence manifests as a form of slow urbicide, paving the way for revanchist urban regeneration that prioritises the commercial exploitation of urban space at the expense of the historical, political, and cultural identities of affected neighbourhoods.

Current Status of Logistics Infrastructure Associated with the Development of Vietnam’s Sea Tourism

With a coastline of 3260 kilometers, 2.773 islands, and 28 coastal provinces, Vietnam has a great potential for sea tourism development. One of the factors affecting this development is logistics infrastructure. This research paper aims to analyze all of the logistics infrastructure factors including highways, railways, inland waterways, seaway, and airways; and the connection between logistics transport infrastructure and marine tourism development. The result shows that coastal tourism areas have made strong investments in logistics infrastructure and future planning. However, the lack of synchronization in transport networks connecting tourist destinations, the adaptation of the seaport systems and waterway transports, along with the overall infrastructure serving the needs of accommodations and tourism services have not met the increasing demand. Based on these bases, this paperwork proposes solutions to developing the logistics infrastructure associated with the development of Vietnam’s sea tourism.

The relationship between transport infrastructure and output growth in rural nodal municipalities within South Africa

Transport infrastructure is an integral part of economic and social development in many countries, including South Africa. Economic growth theories state that a sound transport system enhances accessibility and output. Despite this, rural areas in South Africa face widespread poverty, poor infrastructure and limited access to essential services. This paper aims to examine the impact of transportation infrastructure investment on the output growth of rural nodal district municipalities in South Africa. This study focuses on two main objectives 1) investigating the relationship between transport infrastructure investment and output growth in rural nodal district municipalities and 2) understanding the causal relationship between transportation infrastructure investment and output growth in rural nodal district municipalities—this analysis uses panel data from 2012 to 2019. We used Fisher type (ADF and PP) panel unit root tests (Maddala & Wu,1999) to determine if the variables were stationary. Additionally, we employed Pedroni tests (1999) to ascertain the presence of cointegration among the variables. Once cointegration was confirmed, our study utilised the Panel VECM. A Panel Granger was then conducted to analyse the direction of causality between transportation infrastructure investment and output growth. This study recommends that the government should improve investments in transportation to improve the output of rural nodal district municipalities.

Harnessing artificial intelligence for sustainable development in emerging markets: Exploring opportunities and challenges in Thailand

The current study investigates how artificial intelligence (AI) impacts sustainable development in emerging markets, with a focus on Thailand. Following a systematic review approach, research designs are configured for reviewing empirical evidence within peer-reviewed papers and reports. It also presents an overview of the adoption of AI in agriculture, health, and urban planning. The key findings lend credence to the potential use of AI in achieving resource optimality, reducing environmental damage, and urging social equity in its use. But these very initiatives are hampered by the digital divide, concerns about data privacy, and bias in algorithms. The way forward should be to establish solid, regulatory frameworks geared towards more investment in infrastructure with ethical AI practices that will lead to optimal gains. The huge potentials for AI to enable sustainability in Thailand are there; hence, it is very important to reduce the associated risks that require equitably distributed results in all sectors.

Does government-driven infrastructure boost green innovation? Evidence of new infrastructure plan in China

The role of government-driven investment in improving environmental quality has long been an essential concern of environmental research. Using a spatial difference-in-differences model, this study investigates the influence of government-driven new infrastructure investment on green innovation. Based on a panel dataset of 276 Chinese cities from 2005 to 2019, we find a positive effect of high-speed rail (HSR) and smart city (SC) construction on green innovation. Compared with cities that are unconnected to the HSR network, those that are accessible by HSR experienced a 20.6 % increase in per capita green patents. In addition, being a SC planned by the government is associated with 14.8 % more green patents per capita than other cities. Moreover, government-promoted new infrastructure has significant spatial spillover effects on green innovation in adjacent cities. Regional sensitivity is found in promotional and spatial spillover effects. The findings of our study offer essential insights for developing effective policies for advancing infrastructure modernization and environmental protection simultaneously.

Challenges Afflicting Prisons – A First-hand Observation

Prisons encounter numerous challenges stemming from systemic, social, and administrative shortcomings. Overcrowding stands out as a significant problem, with facilities operating well beyond their intended capacities, leading to strained resources, increased tensions, and substandard living conditions. The high volume of pretrial detainees exacerbates overcrowding, prolongs the wait for justice, and creates excessive difficulties for those who are imprisoned. Deficiencies in infrastructure, a lack of initiatives to build new prisons or expand the capacity of current facilities, insufficient medical care - particularly in mental health services - and shortages of staff all jeopardize the well-being and safety of inmates. Additionally, gender-specific issues, such as insufficient facilities for women and the absence of open prisons, underscore the system's failure to support marginalized groups. Furthermore, the scarcity of rehabilitation programs hinders the reintegration of prisoners into society. Malpractices, gang activity, and substance abuse in prisons worsen these conditions, leading to violence and fatalities that hinder reform initiatives. Addressing these interconnected challenges requires extensive reforms that involve robust administrative commitment, investments in infrastructure and workforce, improvements to the legal framework, and the creation of rehabilitation programs aimed at cultivating a more humane and efficient prison system.

ARTIFICIAL INTELLIGENCE IN KAZAKHSTAN'S EDUCATION SYSTEM: ANALYSIS AND PROSPECTS

. The article explores the impact of artificial intelligence (AI) on Kazakhstan's education system and its potential to fundamentally transform learning and administrative processes. AI's ability to analyze big data allows educators to gain deeper insights into student performance, predict outcomes, and develop strategies to improve academic achievement. It also enhances personalized learning by offering students tailored educational content that matches their individual knowledge levels and learning pace. The automation of administrative tasks such as scheduling and grading significantly improves the efficiency of educational institutions, allowing teachers more time for direct engagement with students. The article thoroughly examines both the benefits and challenges of AI integration, including issues of digital inequality, access to modern technologies, and the need for ongoing professional development for teachers. Ethical considerations related to the protection of student data are also emphasized. Examples of successful AI implementation in international education platforms are provided, offering valuable insights for Kazakhstan. The article discusses opportunities for further investment in educational infrastructure and outlines key areas for digital development.

Building a sustainable environment in EU countries: the critical role of infrastructure investments and institutional quality

ABSTRACT The literature on the intersection of environment and economic growth is extensive, and emerging research emphasizes additional variables that affect both domains. It is well known that institutional quality enhances environmental quality because institutions affect environmental quality and economic growth through regulatory policies. Moreover, infrastructure investment is a critical driver of growth and environmental improvement, providing the necessary foundation for change. This research contributes to the literature by examining the dynamic interaction between ecological footprint, infrastructure investment, institutional quality, and economic growth using the Environmental Kuznets Curve hypothesis for the 10 European Union countries with the highest levels of infrastructure investment from 1996 to 2020 to highlight how infrastructure and institutional quality affect environmental outcomes differently across countries. It finds long-run relationships among the variables in the Czech Republic, Finland, France, Germany, Hungary, Italy, Norway, Slovakia, Sweden, and Switzerland. The findings confirm the cointegration by confirming the EKC hypothesis for the panel and particularly for Finland, France, Norway, Slovakia, and Sweden. The study observes that increased infrastructure investments reduce the ecological footprint in Germany and Sweden but increase the ecological footprint in the Czech Republic and France. In Sweden, higher institutional quality significantly reduces the ecological footprint, suggesting that improvements in institutional quality are associated with a lower ecological footprint. These results provide a new perspective on the policy revisions required to achieve net zero emissions under the Paris Climate Agreement, emphasizing the need to integrate green finance into privately financed infrastructure projects.

Концептуальні засади визначення ефективності виконання завдань і заходів державних цільових програм розвитку для підвищення ефективності управління автомобільними дорогами

Introduction. Effective functioning of road transport is only possible when the quantitative growth, quality level, and technical condition of roads meet the demands of road transport. This combination of road network characteristics can only be achieved with adequate funding to implement all planned works. Investments in road infrastructure can become a catalyst for economic recovery and growth, as they will improve logistics capabilities, reduce freight and passenger transportation costs, and enhance regional competitiveness. Problem Statement. In the first decades of independence, the road industry faced chronic underfunding, which negatively affected its development. The situation worsened with the full-scale military aggression of the Russian Federation in 2024. According to the World Bank's “Rapid Damage and Needs Assessment (RDNA3)” report, post-war recovery needs for public roads and bridges alone are estimated at around USD 28.8 billion. For the rapid and quality restoration and development of Ukraine, this issue is critically important, as the state of the roads affects transportation costs, prices, employment levels, and the overall pace of economic development. Furthermore, the full-scale invasion by the Russian Federation raises questions about ensuring reliable logistics routes, prompt transportation of humanitarian aid, and the country's defense capabilities.

Transitioning to sustainable economic resilience through renewable energy and green hydrogen: The case of Iraq

The study investigates the potential of transitioning Iraq, a nation significantly dependent on fossil fuels, toward a green hydrogen-based energy system as a pathway to achieving sustainable economic resilience. As of 2022, Iraqi energy supply is over 90 % reliant on hydrocarbons, which also account for 95 % of the country foreign exchange earnings. The global energy landscape is rapidly shifting towards cleaner alternatives, and the volatility of oil prices has made it imperative for the country to diversify its energy sources. Green hydrogen, produced through water electrolysis powered by renewable energy sources such as solar and wind, offers a promising alternative given country vast renewable energy potential. The analysis indicates that, with strategic investments in green hydrogen infrastructure, the country could reduce its hydrocarbon dependency by 30 % by the year 2030. This transition could not only address pressing environmental challenges but also contribute to the economic stability of the country. However, the shift to green hydrogen is not without significant challenges, including water scarcity, technological limitations, and the necessity for a robust regulatory framework. The findings underscore the importance of international partnerships and supportive policies in facilitating this energy transition. Adopting renewable energy and green hydrogen technologies, the country has the potential to become a leader in sustainable energy within the region. This shift would not only drive economic growth and energy security but also contribute to global efforts towards environmental sustainability, positioning country favorably in a future low-carbon economy.

Genomics and Bioinformatics in One Health: Transdisciplinary Approaches for Health Promotion and Disease Prevention.

The One Health concept underscores the interconnectedness of human, animal, and environmental health, necessitating an integrated, transdisciplinary approach to tackle contemporary health challenges. This perspective paper explores the pivotal role of genomics and bioinformatics in advancing One Health initiatives. By leveraging genomic technologies and bioinformatics tools, researchers can decode complex biological data, enabling comprehensive insights into pathogen evolution, transmission dynamics, and host-pathogen interactions across species and environments (or ecosystems). These insights are crucial for predicting and mitigating zoonotic disease outbreaks, understanding antimicrobial resistance patterns, and developing targeted interventions for health promotion and disease prevention. Furthermore, integrating genomic data with environmental and epidemiological information enhances the precision of public health responses. Here we discuss case studies demonstrating successful applications of genomics and bioinformatics in One Health contexts, such as including data integration, standardization, and ethical considerations in genomic research. By fostering collaboration among geneticists, bioinformaticians, epidemiologists, zoologists, and data scientists, the One Health approach can harness the full potential of genomics and bioinformatics to safeguard global health. This perspective underscores the necessity of continued investment in interdisciplinary education, research infrastructure, and policy frameworks to effectively employ these technologies in the service of a healthier planet.

The Spatial Spillover Effects of Transportation Infrastructure on Regional Economic Growth—An Empirical Study at the Provincial Level in China

This study examines the spatial spillover effects of transportation infrastructure on regional economic growth, utilizing panel data from 31 provincial-level administrative divisions in China from 2003 to 2022. Using the spatial Durbin model (SDM) and three distinct spatial weight matrices—0–1 adjacency, spatial economic–geographical nested, and GDP-based economic distance matrices—this study comprehensively analyzes the multifaceted impacts of transportation infrastructure. The results show that transportation infrastructure significantly promotes economic growth in both local and neighboring regions across all spatial weight matrices. The total effect is most pronounced in geographically proximate regions, with a coefficient of 7.845 (p < 0.01). Regions with similar economic development levels also show strong collaborative effects, with a coefficient of 2.074 (p < 0.01), although the marginal effect of transportation infrastructure diminishes. Furthermore, adjustments in industrial structure and innovation inputs demonstrate a short-term inhibitory effect on economic growth, highlighting the need for synchronized development of transportation infrastructure alongside industrial and innovation policies. This study incorporates multi-dimensional spatial weight matrices to systematically reveal the direct and indirect impacts of transportation infrastructure on regional economies, providing essential empirical support for regional coordination and infrastructure investment policies. The findings offer valuable insights for infrastructure planning in other regions, particularly in formulating policies that promote cross-regional economic cooperation and optimize resource allocation.

MAPEAMENTO DE SUSCETIBILIDADE À DESASTRES NATURAIS ATRAVÉS DO USO DA LÓGICA NEBULOSA NO MUNICÍPIO DE ALEGRE–ES

Among the various problems that Brazil currently faces, few have a social and human impact as significant as those related to natural phenomena and their negative consequences for society, especially geotechnical events and floods. In a country like Brazil, which suffers from a lack of urban planning and adequate investments in infrastructure to prevent this type of occurrence in various spheres, recurring tragedies accumulate year after year, always accompanied by the perception that they could have been avoided. On the other hand, the geosciences have been increasingly open to new geotechnologies. In this context, the present work presented new paths that offer useful resources to seek short to medium-term solutions, helping to overcome the various challenges related to this theme, both at the national, regional and municipal levels. Thus, the methodology related to geotechnologies and its various techniques was used, with emphasis on Fuzzy Logic, which was the main pillar of this study. In the end, the methodology adopted proved to be effective in pointing out the areas of greatest susceptibility to geotechnical problems and flooding, revealing great potential for future applications of greater complexity and scope.

Understanding the impact of COVID-19 on mobility behavior of public transport passengers: the case of Metropolitan Area of Porto

Public transport systems worldwide experienced significant declines in usage during the COVID-19 pandemic due to lockdowns and work-from-home mandates. While numerous studies have examined these phenomena, there is still a need for empirical evidence that not only documents what occurred but also provides actionable insights for future transport planning. This study aims to enhance understanding of public transport passengers’ mobility behaviors during different stages of the pandemic, using the Metropolitan Area of Porto, Portugal, as a case study. Automated Fare Collection data from 2020 were analyzed and compared with data from the pre-pandemic year of 2019. The analysis included temporal, spatial, spatio-temporal, and sociodemographic dimensions. Key patterns and trends identified include a rapid recovery of ridership post-restriction easing, homogenized daily travel patterns, varied impacts on different transport modes, and significant shifts in demographic travel behaviors. These findings highlight the resilience of public transport demand and suggest that adaptive scheduling, enhanced safety measures, targeted support for vulnerable groups, promotion of off-peak travel, investment in bus infrastructure, and encouragement of multi-modal transport are essential strategies. Implementing these strategies can help improve public transport planning and mitigate the adverse effects of future crises.

Digital finance infrastructure and growth of commercial banking firms in Nigeria

This study delves into the intricate relationship between digital finance infrastructure and the growth of commercial banking firms in Nigeria. Through a comprehensive analysis of various financial indicators and statistical tests, we offer critical insights into the dynamics of the Nigerian banking sector. The findings reveal a resilient and steadily growing banking industry, even in the face of economic challenges and the global COVID-19 pandemic. Key highlights include the exponential rise in digital infrastructure, exemplified by the proliferation of Automated Teller Machines (ATMs), Point of Sale (POS) machines, and web banking accounts. These digital channels have significantly influenced the accessibility and convenience of banking services in Nigeria. Our analysis employs correlation, regression, and Granger causality tests to explore the intricate relationships between bank total assets and digital infrastructure components. While positive correlations between bank total assets and digital infrastructure components suggest a strong link between technological expansion and banking growth, the analysis reveals nuanced relationships. Furthermore, while web banking accounts have grown significantly, their influence on bank total assets remains limited. Our findings emphasize the paramount importance of continued investments in digital finance infrastructure for the Nigerian banking sector's growth. However, they also underscore the need for a more profound understanding of the underlying drivers of these trends. This study offers valuable insights for policymakers, financial institutions, and researchers interested in fostering financial inclusion and optimizing digital banking services in Nigeria's ever-evolving financial landscape. In conclusion, this study highlights the critical role of digital finance infrastructure in driving the growth of commercial banking firms in Nigeria, while also calling for more targeted strategies to maximize the benefits of technological advancements in the banking sector.

Determining the Level of and Potential for the Development of Tourism Clusters, Taking into Account Infrastructure and Urban Planning Factors

The optimal development of tourism clusters (quite active and effective, but not allowing overtourism) requires the development of methods for calculating their level of development and potential, taking into account the most important influencing factors. Consideration of the share of factors’ influence on the development of tourism clusters does not adequately take into account the infrastructure and urban planning components. This article, based on a literature analysis and expert assessment, identifies the main factors influencing the development of tourism clusters and shows the leading role of infrastructure factors and the provision of a cluster with high-quality hotel stock. Formulas are given for calculating factor indicators and determining the integral level of development of the cluster, as well as its development potential, including infrastructural. An example of calculations of the development potential of a cluster and management decisions made in the field of construction is given using the example of an emerging tourism cluster, “Kirzhach”. The results of the factor analysis and calculation of the cluster development potential will allow informed management decisions to be made not only for the investment and construction of hotel real estate and other tourism infrastructure, but also for cluster development priorities and areas of government regulation and support.

Mis Solutions During Natural Disaster Management: A Review On Responsiveness, Coordination, And Resource Allocation

This systematic review explores the impact of Management Information Systems (MIS) on enhancing disaster management by optimizing decision-making, resource allocation, and inter-agency communication. As the frequency and severity of natural disasters increase globally, there is a pressing need for more efficient disaster response mechanisms. This study systematically reviewed a total of 160 peer-reviewed articles published between 2010 and 2024, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a comprehensive and transparent review process. The findings reveal that MIS technologies, such as decision support systems (DSS), geographic information systems (GIS), and predictive analytics, play a crucial role in improving the speed and accuracy of emergency responses. Specifically, DSS and predictive models were found to enhance situational awareness and optimize resource deployment, reducing response times by up to 30%. Additionally, GIS tools significantly improved spatial data analysis, enabling better-targeted relief efforts. However, challenges related to data interoperability, cybersecurity, and the integration of advanced technologies remain significant barriers to fully leveraging MIS in disaster management. Addressing these challenges through investments in infrastructure, standardized protocols, and specialized training will be essential for maximizing the potential of MIS in future disaster response efforts. The review concludes that the strategic use of MIS is vital for building more resilient and responsive disaster management systems, ultimately reducing the socio-economic impacts of emergencies.

Assessing Water Demands and Allocation Strategies Using the Water Evaluation and Planning System—A Case Study of the Ghrib Basin, Algeria

The Ghrib Basin is currently encountering water-related challenges due to population growth and growing competition among water users. Therefore, assessing the current water situation is essential for the anticipation of future needs in the region. This paper assesses water demand and allocation strategies in the Ghrib Basin, Algeria, using the Water Evaluation and Planning (WEAP) system. The simulation is based on five scenarios: “Increase in population and agricultural activity”, “Improving agricultural activity”, “Minimum domestic consumption”, “Enhancing Water Resources”, and “Best practice”, (which is a combination of two scenarios, i.e., “Improving agricultural activity” and ”Minimum domestic consumption”). The simulation outcomes indicate that the “Best practice” scenario represents the most advantageous and beneficial scenario by which the problem of the unmet demand can be solved. The resulting simulations indicated the need for the employment of water-efficient irrigation systems as well as the encouragement of sustainable water use, such as drip irrigation, which necessitates coordinated efforts and particular infrastructural investments. The derived outcomes are highly convincing and have the potential to serve as a decision support system for the effective governance of water resources in the Ghrib Basin. The methodology utilized in this study has the potential to be implemented in any basin across the globe.

Colorectal Cancer Screening and Management in Low- and Middle-Income Countries and High-Income Countries: A Narrative Review.

Colorectal cancer (CRC) remains a leading global health challenge, being a highly prevalent cancer and a major cause of cancer-related deaths worldwide. The incidence of CRC varies significantly between high-income countries (HICs) and low- and middle-income countries (LMICs), with higher rates of incidence but lower mortality in HICs. Factors such as genetic predisposition, lifestyle, and dietary habits play significant roles in CRC development, with the Western diet and limited access to screening contributing to increased incidence. This review highlights disparities in CRC screening, management, and outcomes between HICs and LMICs, with HICs benefiting from advanced screening methods like colonoscopy and sigmoidoscopy, while LMICs face challenges due to limited healthcare infrastructure and resources. Tailored strategies, including low-cost screening options and community-based initiatives, are critical in LMICs to improve early detection and outcomes. Future directions for improving CRC care globally include telemedicine, artificial intelligence, and mobile health technologies to bridge access gaps, as well as personalized medicine to enhance treatment efficacy. Global collaboration and investment in healthcare infrastructure are necessary to reduce CRC-related mortality, particularly in resource-limited settings.

A Crucible of IoT Applications and Services and the Gambia Revenue Generation

The study investigated the relationship between Internet of Things (IoT) applications and services and The Gambia revenue generation, tax evasion and tax compliance respectively. It identified the challenges impeding the adoption and implementation of IoT applications and services in the revenue generation processes by the Gambia Revenue Authority (GRA). Both primary and secondary data were used in the study. Questionnaire and interview were used to generate the primary data. The study population (2188) comprised senior and mid-tier management personnel from the Ministry of Finance and Economic Affairs (MoFEA), staff members of The Gambia Revenue Authority, and the corporate taxpayers. The sampling approach used in this study was multistage. Personnel from the MoFEA and GRA were purposively selected, while corporate taxpayers were randomly selected. Their populations were then divided into various strata to ensure fair representation. Respondents were randomly picked from each stratum. To ensure an appropriate sample size, 327 individuals were selected. Data obtained were analysed using multiple regression, correlation coefficient, and simple regression analysis. Qualitative analyses were done on the interview responses. The study revealed that connectivity, networking, and data collection improve revenue generation, while increased IoT adoption and higher data utilisation and infrastructure investment reduce tax evasion and boost tax compliance. However, implementation of the IoT has encountered challenges in the form of technological barriers, financial constraints, and skill gaps. In view of these, investment must be made in enhancing connectivity and networking infrastructure, training staff in data analytics and cyber-security to optimise IoT data usage and boost IoT adoption through inducements and awareness programs. The study concluded that IOT applications and services are in the right direction to revolutionise The Gambia revenue generation.