Demand Analysis Research Articles

Analisis Rencana Induk Sistem Penyediaan Air Minum (RISPAM) Kota Makassar Tahun 2023-2043

The provision of drinking water is a basic need that is essential to improve people's welfare. Makassar City, as a metropolitan city, faces significant challenges in ensuring adequate availability of clean water, especially with increasing population growth and changing environmental conditions. Data from 2022 shows that 24.13% of Makassar's population still experiences water scarcity, which is exacerbated by the high water loss of 52% in the distribution of the PDAM system. In response, the Makassar City Government has prepared a master plan for the drinking water supply system (RISPAM) for the 2023-2042 period to ensure sustainable SPAM development that is integrated with the regional spatial plan. This study uses the arithmetic projection method; water demand analysis includes population growth projections, water loss in distribution, and estimates of per capita needs. Data from various PDAM service areas are also analyzed to understand the characteristics of different needs. The results of the study indicate that the population of Makassar City in 2043 is projected to reach 1,530,631 people, with water needs reaching 4,898.02 liters per second in 2033 and 297.02 liters per second in 2043. The potential of groundwater in Tamalate and Tamalanrea, as well as the main river flow, provides opportunities for the development of additional raw water sources. However, high water loss and low access to clean water are major challenges that require mitigation efforts through efficient distribution systems and optimal utilization of water resources. This study emphasizes the importance of integrating spatial planning and water resource management for the sustainability of the water supply system in Makassar City.

Analysis of the Matching Degree Between Talent Cultivation System and Industrial Demand in Jiangmen City

The purpose of this paper is to analyze the matching degree between talent training system and industrial demand in Jiangmen City, and put forward corresponding policy suggestions. Through the literature review, status quo analysis, industrial demand analysis, and talent training and industrial demand matching degree analysis, this paper reveals the effectiveness and problems in the docking of talent training system and industrial demand in Jiangmen City. It is found that Jiangmen City has made some progress in the docking of talent cultivation and industrial demand through the integration of industry and education, adjustment of professional settings and policy support, but still faces challenges such as the unsound mechanism of the integration of industry and education and the insufficient supply of policies. This paper puts forward policy suggestions such as strengthening the integration of industry and education, optimizing the professional settings, upgrading the faculty, strengthening practical teaching and establishing an evaluation mechanism in order to optimize the talent cultivation system in Jiangmen City. At the same time, it is suggested to build a talent demand prediction model, assess the quality of talent training, evaluate the effect of policy implementation, and establish a long-term monitoring and evaluation mechanism in order to promote a better match between the talent training system and the industrial demand in Jiangmen City, and to promote the high-quality development of the regional economy.

Research on Optimization Design of Intelligent Aircraft

Demand analysis and concept research of intelligent deform-able aircraft, overall and subsystem design technology of intelligent deform-able aircraft. From the perspective of basic scientific problems and bottleneck technologies, the main problems lie in two aspects, namely: aerodynamics, flight mechanics and flight control of deform-able aircraft, deform-able structure, drive and deformation control. The connotation of intelligent deform-able aircraft, deform-able technical indicators, deform-able materials and structures, and cost-effectiveness analysis. Technical difficulties for each performance indicator mentioned above, some novel technologies and methods are used to improve the performance of cross-medium aircraft, which are mainly divided into variable wing technology, variable blade technology, variable density technology and structural buffer technology.

Older people’s social work safe staffing supply and workforce demands analysis: A case study from Northern Ireland

Abstract In the UK, a range of operational tools and policy guidelines regulate staffing in various Health and Social Care sectors. Nonetheless, frameworks to ensure safe staffing in social work remain less advanced. This study focuses on older people’s social work community teams in Northern Ireland due to the high volume of cases and vacancies within these teams. Our findings provide evidence based on actual caseloads (direct work with service users) and workloads at individual, team, and regional levels within this programme of care. The analysis revealed systemic issues that require systemic solutions in relation to staffing supply and service demands. Frontline social workers and managers frequently faced overwhelming worker-to-caseload ratios, routine use of waiting lists, and team vacancies. These findings lay the groundwork for evidence-based strategic planning, guiding the development and enactment of safer and more effective social work policies and legislation in the years ahead. The project was commissioned by the Department of Health, Northern Ireland in preparation for policy and legislative developments expected between 2025 and 2028.

Bootstrapping the digital divide: a situational analysis of digital demands and collective capabilities in low-income households

ABSTRACT This paper examines intersections between social disadvantage and digital inequality in low-income household settings using situational analysis. Partnering with social service organisations, we conducted qualitative fieldwork research over 12 months with low-income households in disadvantaged suburbs in Tasmania, Australia. The research involved home visits, phone interviews, technology tours, and learning biographies with members of households. Findings emphasise the way outcomes of digital connectivity and internet use are not only individual – they are also shared and collective, and this has been a blind spot for digital inequality research framed by methodological individualism. We emphasise the need to shift attention from individual digital skills to collective digital capabilities, emphasising sociotechnical functions embedded in networks of shared resources and practices. Situational analysis revealed digital capabilities as collective investments and workarounds, as participants responded to expanding digital and life management demands. The study contributes to understanding the interaction between digital and social inclusion in low-income household contexts. It highlights the way collective capabilities and ‘digital bootstrapping’ operate in resource-scare environments, providing potential points of intervention beyond individualised notions of digital self-reliance.

Carbon Peak and Carbon Neutrality Scenarios for Key Industries in Jiangsu Province Based on LEAP Model

In this study, strategies for meeting the carbon peak and carbon neutral targets are developed through an in-depth analysis of future energy demand and carbon emission scenarios in Jiangsu Province. The LEAP model was used to forecast energy demand and carbon emissions under different scenarios from 2021 to 2060. Under the baseline scenario, the energy demand of key industries in Jiangsu Province showed a high rate of growth, with energy consumption increasing by 2.35 times from 2021 to 2060, with an average annual growth rate of 3.46%. In contrast, under the Policy Implementation, Sustainable Development, and Innovation Promotion scenarios, total energy consumption decreased significantly by 45.98%, 58.96%, and 86.13%, respectively, demonstrating varying degrees of energy-saving potential. Projections of carbon emissions showed that the total carbon emissions under the baseline scenario showed a continuous growth trend, reaching 599 million t in 2060, with an average annual growth rate of 4.47%. In contrast, under the Policy Implementation, Sustainable Development, and Innovation Advancement Scenario, carbon emissions were significantly lower, as evidenced by a peak reaching 2025 or 2030 and a gradual decline. The industrial sector decreased year by year, the transportation sector showed an increasing trend, and the construction sector was relatively stable. Overall, with industrial restructuring and technological upgrading, Jiangsu Province is expected to achieve a gradual reduction in carbon emissions, but the increasing trend of carbon emissions from the transportation sector requires further monitoring.

Analysis of power system inertial demand considering frequency security and stability constraints

Analysis of power system inertial demand considering frequency security and stability constraints

An analysis of electrical storage demand and cost in South Australia

An analysis of electrical storage demand and cost in South Australia

Integrated open Leontief model for analysis of biomass pellet demand in Thailand

This study addresses the critical challenge of sustainably meeting the growing demand for biomass pellets in Thailand, particularly in light of increasing global interest in renewable energy sources. By introducing an innovative approach through the integration of the Open Leontief Model, this research constructs Input-Output Tables (IOTs) specific to the biomass pellet sector, encompassing 180 economic sectors. The study evaluates the economic impacts of varying domestic and international demand scenarios on Thailand’s economy. Utilizing mass and energy balance methodologies, it provides a comprehensive analysis of the biomass pellet supply chain, from plantation to pelletization, for both corn and wood pellets. Findings reveal significant economic intersectoral linkages within Thailand's economy, indicating the biomass pellet sector's potential to substantially contribute to national renewable energy targets and reduce fossil fuel dependency. Notably, the sector is projected to require an increase in raw materials, energy, and other inputs by 3.8% in 2024 and 2.63% in 2036, following the trend of international biomass pellet demand. Additionally, employment in the sector is expected to increase by 3.8% annually under international demand scenarios and 4.6% annually under domestic and international demand scenarios. The research concludes with policy recommendations aimed at fostering sector growth, emphasizing the importance of government incentives, capacity building, and the establishment of biomass plantation communities to meet the increasing demand for biomass pellets. This study not only sheds light on the sector's current state but also charts a path forward for sustainable energy solutions in Thailand in line with Sustainable Development Goals 7, 8, and 9. Together, these initiatives aim to ensure a balanced transition toward renewable energy, benefiting both the economy and the environment.

Disaggregate travel demand analysis using big data sources: unsupervised learning methods for data-driven trip purpose estimation

Disaggregate travel demand analysis using big data sources: unsupervised learning methods for data-driven trip purpose estimation

Econometrics Analysis of External Demand for Egyptian Oranges in the Most Important Global Markets

Econometrics Analysis of External Demand for Egyptian Oranges in the Most Important Global Markets

ESTABLISHMENTS OF THE THIRD WAVE RESTAURANT INDUSTRY: STATE AND PERSPECTIVES

The article explores contemporary trends in the restaurant business, specifically in the context of the development of third-wave restaurant establishments. The article analyzes the influence of innovations and technologies on the gastronomic industry, compares third-wave restaurants with traditional restaurant establishments, and identifies key differences in their organization and operation. The authors examine the use of innovative technologies such as artificial intelligence, data analytics, and automated management systems. Examples of the application of these technologies in the restaurant business are provided, including demand analysis, inventory management, and customer recommendations. The article discusses the difference between third-wave restaurants and traditional establishments in choosing culinary concepts and approaches to menu formation. The authors emphasize the individualized approach to cooking technology and the introduction of the innovative dishes in third-wave restaurant enterprises, characterized by a deeper understanding of modern gastronomic trends and customer preferences. A shift in focus towards individualized service and active interaction with guests through social networks is noted in third-wave restaurant establishments, compared to the potentially more formal approach of traditional establishments. The role of third-wave hospitality establishments in implementing sustainable development concepts is considered. In conclusion, the authors express the belief that third-wave restaurant establishments have the potential not only to transform the gastronomic landscape but also to become key contributors to the development of the restaurant business in Ukraine. It is noted that their innovations and technological approach can set new standards for service, menu diversity, and attitudes toward environmental impact. The article concludes by highlighting the need for the further research in this area and the prospects for the development of the restaurant business in Ukraine in the face of the growing popularity of third-wave restaurant establishments.

Water Management in Wheat Farming in Romania: Simulating the Irrigation Requirements with the CROPWAT Model

The development of water demand analysis methodologies to maintain agricultural crops at an optimal production level, in relation to current climate changes, is a necessity for many geographical areas. The methodology used uses CROPWAT 8.0 software, in the desire to highlight for an important agricultural region in Romania the need to optimize the water requirement for winter wheat crops. The methodology used was able to highlight this fact, as major changes are needed in future technological processes in the current context of climate change. Based on the modeling of evapotranspiration, effective precipitation, and irrigation requirements, it was obtained that the winter wheat needs four additional irrigations per year (in April, May, and July). The irrigations at critical depletion led to a 100% efficiency of reducing the harvest deficit, during the middle and late vegetation stages. The irrigation required by winter wheat depends on precipitation efficiency, and it is very important for improving crop yield up to 100%. The obtained results provide a methodological framework, but also concrete information for decision-makers in the field of agriculture.

Study on Sensitivity of Uncertainty Factors in Seismic Demand Analysis of Continuous Girder Bridges with Seismic Isolation Design

In order to clarify the influence of the uncertain parameters of a bridge numerical model for seismic isolation design on the calculation results of structural seismic demand and to improve the accuracy of bridge seismic isolation design, a refined numerical model of a seismic isolation continuous girder bridge was established. The uncertainty of the model parameters was sorted out at two classification levels of the seismic isolation device system and the non-isolated system, and the sensitivity of the structural parameters was systematically analyzed by using the tornado diagram and the first-order second-moment method. The uncertain factors that have a great influence on the seismic response of the bridge structure in the seismic isolation design are bulk density coefficient, bearing friction coefficient, clay ultimate resistance, damping ratio, elastic modulus, clay ultimate deformation, and isolation bearing fusing force. The impact of the seismic isolation bearing’s melting force is particularly significant during periods of low peak acceleration. It was observed that the selection results remained largely unchanged despite the consideration of the collision effect. This finding serves as a valuable reference for the design and calculation of seismic isolation measures in continuous beam bridges.

Analysis of Marketing Strategies for New Products

Choosing the marketing strategy analysis of a new product as a topic is an interesting and practical option. It will not only help me to understand consumer behavior and psychology, but also help me to study market research and positioning. As well as exploring branding and communication strategies at a deeper level. The purpose of this thesis is to analyze the marketing strategy of a new product and explore its positioning and promotion effect in the market competition. First, the target market and product differentiation advantages are identified through market research and consumer demand analysis. Then, the choice of multiple marketing channels is examined, including online and offline advertising, social media promotion, KOL cooperation, and content marketing. The paper also evaluates the impact of pricing strategies, promotional activities, and brand positioning on consumer purchase decisions. Ultimately, case studies and data analysis validate the effectiveness of the selected strategies and suggest further optimization to increase market share and brand awareness.

Assessment of water volumes granted and water availability in the Azul River basin, Paraná, Brazil

Water plays a crucial role in various activities concerning a watershed. However, the unregulated utilization of water resources and the absence of effective management can jeopardize the diverse uses of water, turning a particular region into a critical area. Therefore, the aim of this study was to conduct a comprehensive analysis of water demands in relation to water availability in the Azul River Watershed, Paraná state, Brazil. To achieve this objective, data on licenses for water resources use issued by the state regulatory agency have been utilized, and the study area was defined using geographic coordinates. By segmenting the hydrographic unit, it is possible to identify different types of water uses (consumptive and non-consumptive), permitted water outflows, specific purposes, and water users. Furthermore, an examination of the conflicts between demand and water availability was also conducted. The findings revealed that the agricultural sector accounted for the highest water withdrawals, with the greatest number of active permits. Additionally, regarding consumptive uses, aquaculture emerged as the largest consumer of water, accounting for 62% of the total water consumption. The water demand of users in the Rio Azul basin cannot be achieved considering the current licensing criteria. This indicates that water resource management requires special attention to the relationship between demand and water availability.

Analysis of the Social Demand for the Formation of communicative Competencies in Future Speech therapy Teachers

An independent assessment of the quality of professional training is now recognized as an urgent problem of vocational education. The issue of independent assessment of the competencies of future teachers, including through the certification system, has been actively developed in the last decade, but the issue of independent assessment of future speech therapy teachers based on certification procedures has not yet been sufficiently developed. The article analyzes the approaches existing in pedagogical theory and practice to the study of the phenomenon of independent assessment, identifies its key parameters that must be taken into account when developing the certification procedure for future speech therapists. One of the significant factors in the organization of such a procedure, the researchers call the involvement of interested social partners at the design stages. Purpose of the article. The purpose of the article is to determine the priority criteria for independent certification of future speech therapy teachers based on the analysis of the results of a study of the social demand for the formation of communicative competencies among representatives of this profession. Methodology and methods of research. The methodological basis of the conducted research was the systematic and competence-based approaches, which allow to identify the characteristics of professional competencies of the communicative orientation of a speech therapist teacher. The study used methods of analysis, questioning and interpretation of experimental data. Results of the study. The authors of the article present the results of the analysis of the request of employers, parents and teachers of speech therapists for the formation of priority professional competencies of a communicative orientation for future graduates of speech therapy training profiles. Conclusion. In conclusion, conclusions are drawn about the differences in the priorities of the assessed criteria of professional competencies of a communicative orientation among the survey participants, which may be significant for the development of tools for independent assessment of the quality of training of future speech therapy teachers.

Application of Managerial Economics in Business Management

Against the backdrop of increasing market demand uncertainty, increasingly fierce competition, difficulty in cost control, and lack of scientific decision-making tools, enterprises need guidance from management economics. This study is based on the basic theoretical framework of management economics, analyzing the core challenges faced by enterprises in operational management at present, and proposing a series of practical strategies, including market demand forecasting and analysis, deployment of differentiated competitive strategies, cost reduction through economies of scale, and integration of digital means. The study also looks forward to the development trends of management economics, including the deepening application of big data and artificial intelligence technology, and the cross-border integration of management, behavioral economics, and psychology. Research has found that the rational application of management economics can help companies optimize their selection process, enhance market competitiveness and operational efficiency, and open up new paths for their sustainable development.

Establishing the job demands and resources of support staff of a mining organization during the COVID-19 pandemic

This research analyses the employment demands and resources encountered by support personnel at a mining company in Gauteng during the latter phases of the COVID-19 pandemic. The study included 12 support staff, chosen via convenience sampling (median age = 44), who engaged in semi-structured interviews (3 women, 9 men; 3 White, 9 African). The researchers utilised an inductive technique and applied Braun and Clarke's thematic analysis to discover four themes: job pressures encountered, organisational job resources, organisational assistance, and perceived support. The findings indicate that elevated job resources may enhance work efficiency and effectiveness in individuals managing job demands. The study also revealed that perceived organisational support affects job pressure and emotional fatigue in employees. The findings underscore the imperative for employees to proactively pursue job resources and assistance to manage job demands, emphasising the significance of deliberate resource allocation in high-stress industries to bolster resilience and equip both employees and organisations for future crises. The paper fills a gap in the literature by providing a comprehensive narrative analysis of employment demands and resources during the COVID-19 pandemic. Qualitative interviews with support personnel enhance our understanding, supplementing prior quantitative studies that have predominated the research field. Future research should examine the long-term impacts of the COVID-19 pandemic on employee well-being in relation to job demands and resources, and evaluate the function of diverse job resources in aiding employees to navigate post-pandemic issue

Research on Function Optimization of Electric Vehicle Charging Stations Based on User Demand Analysis: An Empirical Study Using the Kano Model and AHP Method

With the widespread adoption of electric vehicles (EVs), the demand for reliable and user-friendly charging infrastructure has increased significantly. However, user dissatisfaction with public EV charging stations has also intensified, and the level of satisfaction with charging stations directly influences the development of the EV market. This study aimed to identify and prioritize user needs for EV charging stations to improve their design and functionality, ultimately enhancing user satisfaction and effectively promoting the sustainable development of the EV market. Using the KJ method, this study identified 23 key user needs and categorized them into must-be, one-dimensional, attractive, and indifferent requirements using the Kano model. The analytic hierarchy process (AHP) was subsequently applied to rank these requirements by their importance. The results indicate that, in the optimization of charging station functionality, the most critical user requirements include C1 charging gun stability (0.3176), C2 system stability (0.2822), C7 safety performance (0.0885), C15 payment convenience (0.0648), and C8 accurate feedback on charging station status (0.0501). This study provides valuable insights for designers and developers, offering a user-centered approach to optimizing public EV charging stations and improving the overall charging experience.